64 results on '"Akin O"'
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2. Turning Waste to Wealth: Harnessing the Potential of Cassava Peels for Nutritious Animal Feed
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Okike, Iheanacho, Wigboldus, Seerp, Samireddipalle, Anandan, Naziri, Diego, Adesehinwa, Akin O. K., Adejoh, Victor Attah, Amole, Tunde, Bordoloi, Sunil, Kulakow, Peter, Thiele, Graham, editor, Friedmann, Michael, editor, Campos, Hugo, editor, Polar, Vivian, editor, and Bentley, Jeffery W., editor
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- 2022
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3. Evaluation of the impact of an intervention programme to revamp cold chain system and improve childhood immunization in Egbedore, Nigeria: a retrospective study
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Ogunniyi, Kayode A. B., primary, Oyebade, Akin O., additional, and Boladale, Abiodun L., additional
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- 2023
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4. EVALUATION OF OXIDATIVE STRESS MARKERS IN GIRLS WITH PREMATURE THELARCHE AND PRECOCIOUS PUBERTY.
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Gunes, S. Odabasi, Akin, O., Durmaz, N., Erel, O., and Yavuz, S. T.
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FOLLICLE-stimulating hormone , *RECEIVER operating characteristic curves , *OXIDATIVE stress , *LUTEINIZING hormone , *ETIOLOGY of diseases , *PRECOCIOUS puberty - Abstract
Context. Oxidative products take part in various physiological processes and overproduction of oxidative products is involved in the etiology of many diseases. Objectives. We aimed to evaluate thiol-disulfide homeostasis (TDH); one of the oxidative stress parameters, in girls with premature thelarche (PT) and precocious puberty (PP). Design. This case-control study was conducted between January 2022 and July 2022. Subjects and Methods. TDH parameters, involving native thiol (NT), disulfide, and total thiol (TT), were evaluated in 39 girls with PT, 41 girls with PP and 46 healthy prepubertal girls. The correlations of luteinizing hormone (LH), follicle-stimulating hormone (FSH), estradiol (E2) levels with the TDH parameters were determined and ROC curve analysis was performed. Results. NT, TT and NT/TT ratio were higher in the PT and PP groups compared to the control group (p<0.01). Disulfide/NT ratio and disulfide/TT ratio were lower in the PT and PP groups compared to the control group (p<0.05). All the TDH values did not statistically differ between the PP and PT group (p>0.05). There was a positive correlation between LH level, FSH level, and NT level, TT level, NT/TT ratio. The best parameter to discriminate PT or PT and control groups were NT and TT (p<0.01). Conclusion. TDH is altered in girls with PT and PP. NT and TT levels can be useful to discriminate prepubertal girls with lipomastia and girls with PP and PT in clinical practice. Further studies on larger cohorts of patients are required to clarify our results. [ABSTRACT FROM AUTHOR]
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- 2024
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5. An Introspection into the Emergence of ‘Inconclusive Elections’ from the Electoral Act 2022 and Its Implication on the Nigeria Politics
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Oluwadayisi, Akin O., primary, Oke-Samuel, Olugbenga, additional, Mohammed, Olamide O., additional, and Ariyoosu, Dauda A., additional
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- 2023
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6. A Novel Approach to Vessel-Sparing Prostate Radiotherapy Using MR-Only Simulation and Non-Contrast MR Angiography: Vessel Delineation Feasibility and SBRT Dosimetric Analysis
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Haseltine, J., primary, Tyagi, N., additional, Burleson, S., additional, Akin, O., additional, and Zelefsky, M.J., additional
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- 2022
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7. Anthropometric Characteristics of Vegetarian and Non- Vegetarian Adults in a Selected Local Government Area In Osun State, Nigeria
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Olariike Oyindasola Kayode, Akin Oyebade, Adeola Oluwaseun Oshineye, Abayomi Tolu Olarinmoye, and Ayodeji Akinyemi Akinpelu
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vegetarian diet ,non-vegetarian diet ,body mass index ,waist-to-hip ratio ,Public aspects of medicine ,RA1-1270 - Abstract
Background: Vegetarian diets have grown in popularity partly because they have been linked to numerous health benefits. They are typically high in fiber and antioxidants and low in cholesterol, potentially lowering the risk of chronic diseases. On the other hand, diets established on meat and its products play a significant role in increasing the incidence of non-communicable diseases owing to their increased calorie density and extra saturated fat. Methods: A cross-sectional study was conducted among 121 adults recruited purposively from two Seventh-day Adventist churches in the Ede South Local Government area of Osun State. Results: Most respondents (73.6 %) were non-vegetarian and 26.4% were vegetarian (65.6% semi-vegetarian, 25% lacto-ovo, and 9.4% vegans). Among the non-vegetarians, 4.0% were underweight, 42.0% were of normal weight, 44.0% were overweight, and 10.1 % were obese. Among Vegetarians, 56.3% and 43.7% were of normal weight and overweight, respectively. Conclusion: The prevalence of obesity among non-vegetarians was high, indicating the need for nutritional education intervention on the health benefits of a vegetarian diet.
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- 2024
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8. Turning waste to wealth: harnessing the potential of Cassava peels for nutritious animal feed
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Iheanacho Okike, Seerp Wigboldus, Anandan Samireddipalle, Diego Naziri, Akin O. K. Adesehinwa, Victor Attah Adejoh, Tunde Amole, Sunil Bordoloi, Peter Kulakow, Thiele, Graham, Friedmann, Michael, Campos, Hugo, Polar, Vivian, and Bentley, Jeff
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GE ,S1 - Abstract
In Nigeria, processing cassava for food and industry yields around 15 million tons of wet peels annually. These peels are usually dumped near processing centres to rot or dry enough to be burned. Rotting heaps release methane into the air and a stinking effluent that pollutes nearby streams and underground water, while burning produces clouds of acrid smoke. However, when properly dried, peels can be an ingredient in animal feed. Previous attempts over two decades to use peels in animal feed failed to yield profitable options for drying wet peels at commercial scale, but recent research suggests that cassava peels can be processed into high-quality cassava peel (HQCP) products to be used as nutritious, low-cost animal feed ingredients. The core innovation was to adopt the same steps and equipment used for processing cassava roots into gari, the main staple food in the country. When dried, 3 tons of wet peels yield a tonne of healthy and energy-rich animal feed, containing nearly 3,000 kilocalories per kilogram of dry matter (kcal/kgDM). Adopting this innovation at scale in Nigeria’s poultry and fish sectors alone has the potential to turn approximately 3.6 million tons of wet peels into 1.2 million tons of feed ingredients capable of replacing approximately 810,000 tons of largely imported maize. The innovation has great potential to increase feed availability and lower its cost while saving cereals for human consumption, reducing the import bill, creating new business opportunities, and protecting the environment. This research was initiated by CGIAR centres and taken up by the CGIAR Research Program on Roots, Tubers and Bananas (RTB) over the past decade with strategic input from the CGIAR Research Program on Livestock to accelerate development of the innovation, and this chapter documents the potential and progress in taking this innovation to scale.
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- 2022
9. Diagnostic Capacity for Fungal Infections in Tertiary Hospitals in Nigeria and Ghana - An Onsite Baseline Audit of 9 Sites
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Damilola Akinlawon, Iriagbonse Osaigbovo, Mohammed Yahaya, Olufunmilola Makanjuola, Ubong A. Udoh, Philip Nwajiobi-Princewill, Ifeyinwa Nwafia, Jonah Peter, Isabella Asamoah, Folake Peters, Obiora Okafor, Tochi Okwor, Akin Osibogun, Folashade Ogunsola, Alexander Jordan, Tom Chiller, and Rita Oladele
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laboratory audit ,fungal infections ,diagnosis ,resource limited setting ,tertiary hospital ,Public aspects of medicine ,RA1-1270 - Abstract
ObjectivesTo assess diagnostic mycology capacity and available fungal diagnostic services of microbiology laboratories in eight tertiary hospitals in Nigeria and one in Ghana.MethodsOn-site audits were performed in the microbiology laboratories of nine tertiary hospitals using a structured observation checklist.ResultsA total of nine tertiary hospitals' laboratories in Nigeria and Ghana were assessed between June 2022 and December 2023. The majority of audited laboratories lacked basic infrastructure and materials needed for fungal diagnostic testing, with less than half of the labs having a dedicated mycology bench, space or room, 3/9 (33.3%), appropriate bench workflow 1/9 (11.1%), functional biosafety cabinet type two 2/9 (22.2%), dedicated incubators 3/9 (33.3%), standard operating procedures 1/9 (11.1%), mycology atlases 2/9 (22.2%). Trained laboratory personnel for mycology were also lacking with only one of the laboratories 1/9 (11.1%) observed to have a designated trained personnel for the mycology bench.ConclusionThe audit revealed deficits in basic infrastructure, material resources, dedicated human resources, and laboratory capacity to detect serious fungal infections.
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- 2024
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10. Treatment outcomes and prognostic factors in patients with driver mutant non-small cell lung cancer and de novo brain metastases
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Seda Kahraman, Serdar Karakaya, Muhammed Ali Kaplan, Sema Sezgin Goksu, Akin Ozturk, Zehra Sucuoglu Isleyen, Jamshid Hamdard, Sedat Yildirim, Tolga Dogan, Selver Isik, Abdussamet Celebi, Burcu Belen Gulbagci, Nail Paksoy, Mutlu Dogan, Haci Mehmet Turk, Ahmet Bilici, Ali Murat Tatli, Sinem Akbas, Nedim Turan, Ilhan Hacibekiroglu, Gamze Gokoz Dogu, Adnan Aydiner, Ahmet Taner Sumbul, Serap Akyurek, Merih Yalciner, Ahmet Demirkazik, Pinar Gursoy, Musa Baris Aykan, Elif Sahin, İbrahim Karadag, Osman Kostek, Muhammed Muhiddin Er, Mehmet Artaç, Yakup Duzkopru, Dincer Aydin, Deniz Isik, Yusuf Karakas, Saadettin Kilickap, Cihan Erol, Bilgin Demir, Burak Civelek, Yakup Ergun, Muhammed Bulent Akinci, Izzet Dogan, Nuri Karadurmus, Perran Fulden Yumuk, and Mehmet Ali Nahit Sendur
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Oncogene-driven advanced non-small cell lung cancer ,De novo brain metastases ,Survival related parameters ,Medicine ,Science - Abstract
Abstract Central nervous system (CNS) metastases can be seen at a rate of 30% in advanced stages for patients with non-small cell lung cancer (NSCLC). Growing evidence indicates the predictive roles of driver gene mutations in the development of brain metastases (BM) in recent years, meaning that oncogene-driven NSCLC have a high incidence of BM at diagnosis. Today, 3rd generation targeted drugs with high intracranial efficacy, which can cross the blood–brain barrier, have made a positive contribution to survival for these patients with an increased propensity to BM. It is important to update the clinical and pathological factors reflected in the survival with real-life data. A multi-center, retrospective database of 306 patients diagnosed with driver mutant NSCLC and initially presented with BM between between November 2008 and September 2022 were analyzed. The median progression-free survival (mPFS) was 12.25 months (95% CI, 10–14.5). While 254 of the patients received tyrosine kinase inhibitor (TKI), 51 patients received chemotherapy as first line treatment. The median intracranial PFS (iPFS) was 18.5 months (95% CI, 14.8–22.2). The median overall survival (OS) was 29 months (95% CI, 25.2–33.0). It was found that having 3 or less BM and absence of extracranial metastases were significantly associated with better mOS and iPFS. The relationship between the size of BM and survival was found to be non-significant. Among patients with advanced NSCLC with de novo BM carrying a driver mutation, long-term progression-free and overall survival can be achieved with the advent of targeted agents with high CNS efficacy with more conservative and localized radiotherapy modalities.
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- 2024
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11. Coronavirus Disease 2019 vaccination coverage and seropositivity amongst Nigerians 18 years old and above
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Faisal Shuaib, Yetunde Odusolu, Bassey Bassey Okposen, Opeyemi Osibogun, Sulaimon Akanmu, Abdullahi Mohammed, Shuaib Yahya, Tanimola Akande, Alhaji Aliyu, Chigozie Ifeadike, Aderonke Akande, Adesuwa Aigbokhaode, Akin Adebiyi, Charles Tobin-West, Oladele Simeon Olatunya, Emmanuel Aguwa, Garba Danjuma, Joseph Dika, Augustina Nwosu, Tope Olubodun, Adebimpe Oladunjoye, Opeyemi Giwa, and Akin Osibogun
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antibody ,coronavirus disease 2019 ,nigeria ,vaccination ,vaccine ,Medicine - Abstract
Background: This was a cross-sectional community-based survey to study the prevalence of serum antibodies against the severe acute respiratory syndrome coronavirus 1 (SARS-COV-1) and determine possible source of antibodies as to whether from vaccination or from natural infection as well as attempt to compare antibody levels in response to the different four types of vaccines administered in Nigeria. Methods: A cross-sectional community-based study of the prevalence of serum antibodies against all four vaccine types used in Nigeria amongst a representative sample of people aged 18 years and above in the six geopolitical zones of the country using a multistage sampling technique covering 12 states of the country with two states being randomly selected from each geopolitical zone. High-throughput Roche electrochemiluminescence immunoassay system (Elecsys Anti-SARS-COV-1 Cobas) was used for qualitative and quantitative detection of antibodies to SARS-COV-1 in human plasma. Results: There was no statistically significant difference between the proportions with seropositivity for both the vaccinated and the unvaccinated (P = 0.95). The nucleocapsid antibody (anti-Nc) titres were similar in both the vaccinated and the unvaccinated, whereas the Spike protein antibody (anti-S) titres were significantly higher amongst the vaccinated than amongst the unvaccinated. Antibody levels in subjects who received different vaccines were compared to provide information for policy. Conclusion: While only 45.9% of the subjects were reported to have been vaccinated, 98.7% of the subjects had had contact with the SARS-COV-1 as evidenced by the presence of nucleocapsid (NC) antibodies in their plasma. The 1.3% who had not been exposed to the virus, had spike protein antibodies which most likely resulted from vaccination in the absence of NC antibodies. Successive vaccination and booster doses either through heterogeneous or homologous vaccines increased antibody titres, and this stimulation of immune memory may offer greater protection against coronavirus disease 2019.
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- 2024
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12. Proof‐of‐concept of a data‐driven approach to estimate the associations of comorbid mental and physical disorders with global health‐related disability
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Ymkje Anna deVries, Jordi Alonso, Somnath Chatterji, Peter deJonge, Joran Lokkerbol, John J. McGrath, Maria V. Petukhova, Nancy A. Sampson, Erik Sverdrup, Daniel V. Vigo, Stefan Wager, Ali Al‐Hamzawi, Guilherme Borges, Ronny Bruffaerts, Brendan Bunting, Stephanie Chardoul, Elie G. Karam, Andrzej Kiejna, Viviane Kovess‐Masfety, Fernando Navarro‐Mateu, Akin Ojagbemi, Marina Piazza, José Posada‐Villa, Carmen Sasu, Kate M. Scott, Hisateru Tachimori, Margreet Ten Have, Yolanda Torres, Maria Carmen Viana, Manuel Zamparini, Zahari Zarkov, Ronald C. Kessler, and World Mental Health Survey Collaborators
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causal forest ,comorbidity ,disability ,global burden of disease ,mental disorders ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Abstract Objective The standard method of generating disorder‐specific disability scores has lay raters make rankings between pairs of disorders based on brief disorder vignettes. This method introduces bias due to differential rater knowledge of disorders and inability to disentangle the disability due to disorders from the disability due to comorbidities. Methods We propose an alternative, data‐driven, method of generating disorder‐specific disability scores that assesses disorders in a sample of individuals either from population medical registry data or population survey self‐reports and uses Generalized Random Forests (GRF) to predict global (rather than disorder‐specific) disability assessed by clinician ratings or by survey respondent self‐reports. This method also provides a principled basis for studying patterns and predictors of heterogeneity in disorder‐specific disability. We illustrate this method by analyzing data for 16 disorders assessed in the World Mental Health Surveys (n = 53,645). Results Adjustments for comorbidity decreased estimates of disorder‐specific disability substantially. Estimates were generally somewhat higher with GRF than conventional multivariable regression models. Heterogeneity was nonsignificant. Conclusions The results show clearly that the proposed approach is practical, and that adjustment is needed for comorbidities to obtain accurate estimates of disorder‐specific disability. Expansion to a wider range of disorders would likely find more evidence for heterogeneity.
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- 2024
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13. Psychological Resilience In the first year of surviving a Stroke among Africans
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Akin Ojagbemi, Toyin Bello, and Olufisayo Elugbadebo
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Specialties of internal medicine ,RC581-951 ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Introduction: Resilience may be central to poststroke recovery. There is a knowledge gap on the predictors of resilience and its impact on mental health of Africans who survive a stroke. We describe the trajectory of psychological resilience and its association with depression and quality of life across the first poststroke year in Nigeria. Methods: Prospective observational study. Resilience was ascertained at 3 time-points prospectively over 12 months using the resilience scale. Depression and quality of life were also assessed at baseline and follow-up, respectively using centre for epidemiologic studies depression scale (CES-D 10) and health related quality of life in stroke patients (HRQOLISP-26). Trajectory was examined using the Greenhouse-Gaiser and Bonferoni corrected Analyses of variance. Associations were investigated using regression models and presented as adjusted odds ratios (aOR) and wald test coefficients within 95% confidence intervals (CI). Results: Of 150 consenting stroke survivors, 132 (88%) could be assessed for resilience. Resilience scores improved across time points of measurement (F-test=23.516, p
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- 2024
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14. Mini/Micro UAV detection in the presence of ISM or spurious signals and an experimental application on an SDR
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Akın Özkaner and Yetkin Akça
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Drone detection ,Drone classification ,Signal discrimination ,Interference detection ,SDR ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
In recent years, Mini/Micro UAVs have started to become a major concern and threat to the public, which made the need of detection and classification of them inevitable. Among all known detection techniques, one of the best reassuring and promising approach is utilizing the passive RF detection method. One of the major problems in this technique is detecting the threats in the presence of the other wireless interference signals like ISM Band Based or Spurious Signals. Proposed study handles this task using hybrid discrimination techniques both utilizing Signal Analysis/Decoding and Overlapping Signal Removal methods. In the first part of the technique, the captured signals are decoded to detect and get RF parameters of Wi-Fi signals and therefore the detected ones are removed from the corresponding spectrums in the time domain which prevents the miscalculation of the center frequency and bandwidth caused by overlapping Wi-Fi signals. In the second part of the technique, developed pulse on pulse (PoP) algorithms are employed in order to calculate more precisely the center frequency and bandwidth of the threat. Both methods developed on an SDR are experimented on both laboratory and field. By means of PoP Algorithms, the calculated deviation center frequency of the one of the Mini/Micro UAVs’ signal is improved from 103 ppm to 61.2 ppm in the presence of wideband overlapping spurious signals. The bandwidth correction is also achieved and makes the bandwidth to be calculated precisely. When Wi-Fi signals are decoded corresponding technique is applied additionally, in frequency domain, the center frequency estimation improved from 61.2 ppm to 28.5 ppm. These results show that the proposed method outperforms the results given in laboratory and field tests.
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- 2024
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15. THE EFFECT OF THE THERMOMECHANICAL PROCESSING ON THE MICROSTRUCTURE AND HARDNESS OF (Co25Cr15Fe20Ni40)83Al17 HIGH ENTROPY ALLOY
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Hakan Gaşan, Akın Özcan, G. İpek Selimoğlu, and Hüseyin Burak Kocabaş
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eutectic high entropy alloy ,vacuum arc melting ,rolling ,annealing ,ötektik yüksek entropili alaşım ,vakum ark ergitme ,haddeleme ,tavlama ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
(Co25Cr15Fe20Ni40)83Al17 is a eutectic high entropy alloy (EHEA), which is composed of face centered cubic (FCC) and body centered cubic (BCC) phases. This dual (FCC+BCC) phase mixture provides good ductility and strength combination. In the scope of this study, it was aimed to analyze the effect of mechanical, thermal and thermomechanical processes on the microstructure and hardness of (Co25Cr15Fe20Ni40)83Al17 EHEA, which was produced by the vacuum arc melting and casting method. With this aim, cold and hot rolling as well as different annealing treatments were applied to the as-cast plates. The cold-rolling was performed at room temperature while the hot rolling temperature was varied in between 500-1000℃. The maximum deformation that can be applied was 50% and 60 % after cold and hot rolling, respectively. The limited deformability was attributed to the increased BCC/B2 content in the eutectic phase mixture with the applied deformation. The hardness was increased from 280 HV to 412 HV after 50% cold-rolling. A similar high hardness value (399 HV) was obtained after ~50% deformation at 750℃, indicating that the dynamic recrystallization had no significant effect up to 1000℃.
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- 2023
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16. The effect of paclitaxel plus carboplatin chemotherapy on subclinical cardiotoxicity in patients with non-small cell lung cancer: A speckle tracking echocardiography-based study
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Batur Gonenc Kanar, Akın Ozturk, Alper Kepez, Dursun Akaslan, Murat Kavas, Erhan Ogur, Kamil Gülşen, Akyan Küp, Bahar Dalkılıç, Kursat Tigen, and Beste Ozben
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Cardiotoxicidade ,Quimioterapia ,Ecocardiografia ,Strain ,Carcinoma do pulmão ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background: Although chemotherapy-induced cardiotoxicity is an emerging problem, limited information is available on the effects of chemotherapy on left ventricular (LV) mechanical functions in patients with non-small cell lung cancer (NSCLC). Objective: We aimed to explore chemotherapy-induced alterations in cardiac mechanical functions in patients with NSCLC using speckle tracking echocardiography (STE). Methods: Seventy-one patients with NSCLC and 34 age and sex matched control subjects were consecutively included. Based on their good performance status (Eastern Cooperative Oncology Group performance status), 39 patients were treated with paclitaxel plus carboplatin (PC) regimen and 32 patients were treated with vinorelbine plus cisplatin (VC) regimen. All patients and controls underwent conventional two-dimensional echocardiography and STE at baseline to assess their LV functions. The echocardiographic examinations of NSCLC patients were repeated after the chemotherapy regimens. Results: None of the NSCLC patients developed any signs or symptoms of clinical heart failure during or after the chemotherapy. There were not any significant differences in LV ejection fraction between NSCLC patients and controls before and after chemotherapy. There were not any significant differences in baseline LV global longitudinal strain (GLS), radial strain (RS), and circumferential strain (CS) between NSCLC patients and controls. However, all LV GLS, RS and CS significantly decreased in patients treated with the PC regimen resulting in a significant difference compared to both VC group and controls while no significant decreases were observed in strain measures in VC group. Conclusion: Paclitaxel plus carboplatin, but not VC, may induce subclinical cardiotoxicity in patients with NSCLC, which may be detected by STE. Resumo: Introdução: Embora a cardiotoxicidade induzida pela quimioterapia seja um problema emergente, existe informação limitada sobre os efeitos da quimioterapia na função do ventrículo esquerdo (VE) em doentes com cancro do pulmão não de pequenas células (CPNPC). Objetivo: Avaliar alterações induzidas pela quimioterapia na função cardíaca em doentes com CPNPC utilizando a ecocardiografia de speckle tracking (EST). Métodos: Foram incluídos consecutivamente 71 doentes com CPNPC e 34 indivíduos caso controlo emparelhados por idade e género. Com base no seu desempenho (Eastern Cooperative Oncology Group performance status), 39 doentes foram tratados com regime de paclitaxel e carboplatina (PC) e 32 doentes foram tratados com regime de vinorelbina e cisplatina (VC). Todos os doentes e casos controlo foram submetidos a ecocardiografia bidimensional convencional (2DE) e a EST na fase basal para avaliar a função VE. As avaliações ecocardiográficas dos doentes com CPNPC foram repetidas após quimioterapia. Resultados: Nenhum dos doentes com CPNPC desenvolveu qualquer sinal ou sintoma clínico de insuficiência cardíaca durante ou após a quimioterapia. Não houve diferenças significativas na fração de ejeção do VE entre os doentes com CPNPC e os casos controlo antes e depois da quimioterapia. Não houve diferenças significativas nos valores basais da deformação longitudinal global do VE (GLS), deformação radial (RS) e deformação circunferencial (CS) do VE entre os doentes com CPNPC e os casos controlo. No entanto, todos os valores de deformação miocárdica VE diminuíram significativamente nos doentes tratados com o regime CP, resultando numa diferença significativa em comparação tanto com o grupo CV como com os casos controlo, embora não se tenham observado diminuições significativas nas medidas de strain no grupo VC. Conclusão: Apenas a PC, mas não a VC, pode induzir cardiotoxicidade subclínica em doentes com CPNPC, o que pode ser detetado por ecocardiografia de speckle tracking.
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- 2022
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17. Barriers and recommendations for a cervical cancer screening program among women in low-resource settings in Lagos Nigeria: a qualitative study
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Tope Olubodun, Mobolanle Rasheedat Balogun, Abimbola Kofoworola Odeyemi, Oluwakemi Ololade Odukoya, Adedoyin Oyeyimika Ogunyemi, Oluchi Joan Kanma-Okafor, Ifeoma Peace Okafor, Ayodeji Bamidele Olubodun, Oluwatoyin Olanrewaju Progress Ogundele, Babatunde Ogunnowo, and Akin Osibogun
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Cervical cancer screening ,Barriers ,Pap smear ,Recommendations ,Slum ,Low-resource settings ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background Cervical cancer is the fourth most common cancer in women globally despite being a largely treatable and preventable malignancy. Developing countries account for over 80% of all new cases. Women residing in low-resource settings such as those residing in slums have a higher risk of cervical cancer, and lower uptake of cervical cancer screening. Diverse barriers influence the uptake of cervical cancer screening among women in low-resource settings. Objectives This qualitative study was done prior to the introduction of a cervical cancer screening program in two slum areas in Lagos Nigeria and explored women’s knowledge about cervical cancer, and their perceived barriers and recommendations for the program. Method Four focus group discussions(FGD) were conducted among 35 women between the ages of 21–65 years residing in two urban slums in Lagos, Nigeria from February to April 2019. Each FGD was limited to 8–10 participants of women of similar ages. Voice recordings were transcribed verbatim and thematic analysis was done. Results Most of the women were not aware of cervical cancer and none knew the symptoms or risk factors of cervical cancer. The participants felt that the cervical cancer screening program would be well accepted in the community, however, expressed concerns about the cost of the screening test and the sex of the person performing the test. The recommendations proffered for a successful cervical cancer screening program include; reducing the cost of the test or providing the test free of charge, having people that speak the local language as part of the team, using female health care providers, using a private location within the community or nearby primary health center, and publicizing the program with the use of SMS, phone calls, town crier, and health talks. It was recommended that organizing health education sessions would help improve women’s poorly perceived susceptibility to cervical cancer. Conclusion Interventions to increase uptake of cervical cancer screening among women in low resource settings need to improve knowledge of cervical cancer and address barriers to cervical cancer screening such as cost, distance, and as much as possible, sex of the healthcare provider should be considered.
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- 2022
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18. Perception of providers on use of the WHO mental health Gap Action Programme-Intervention Guide (mhGAP-IG) electronic version and smartphone-based clinical guidance in Nigerian primary care settings
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Akin Ojagbemi, Stephanie Daley, Lola Kola, Tatiana Taylor Salisbury, Yvonne Feeney, Akerke Makhmud, Heidi Lempp, Graham Thornicroft, and Oye Gureje
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Psychosocial interventions ,Remote supervision ,Sub-Saharan Africa ,Task sharing ,Medicine (General) ,R5-920 - Abstract
Abstract Background Taking advantage of the rapidly increasing access to digital technology in low- and middle-income countries, the World Health Organization has launched an electronic version of the mental health Gap Action Programme intervention guide (emhGAP-IG). This is suitable for use on smartphones or tablets by non-specialist primary healthcare providers (PHCWs) to deliver evidence-based intervention for priority mental, neurological and substance use disorders. We assessed the perceptions of PHCWs on the feasibility, acceptability, and benefits of using smartphone-based clinical guidance and the emhGAP-IG in the management of people with mental health conditions in Nigeria. Methods Exploration of the views of PHCWs from 12 rural and urban primary health clinics (PHCs) in South-Western Nigeria were carried out using 34 in-depth key informant qualitative interviews with nurses (n = 10), community health officers (n = 13) and community health extension workers (n = 11). An additional two focus group discussions, each comprising eight participants drawn from across the range of characteristics of PHCWs, were also conducted. Thematic analysis was conducted using a three-staged constant comparison technique to refine and categorise the data. Results Three overall themes were identified around the use of clinical guidance and mobile applications (apps) in PHCs. Apps were deployed for purposes other than clinical consultation and decision making. Although paper-based guidance was the expected practice, its utilization is not fully embedded in routine care. An app-based decision-making tool was preferred to paper by PHCWs. Future usage of the emhGAP-IG would be facilitated by training and supporting of staff, helpful design features, and obtaining patients’ buy-in. Conclusion Our findings suggest that the emhGAP-IG could be a viable way to embed clinical guidance and decision-making tools in the management of people with mental health conditions in Nigerian PHCs.
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- 2022
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19. Exploring the cost-effectiveness of high versus low perioperative fraction of inspired oxygen in the prevention of surgical site infections among abdominal surgery patients in three low- and middle-income countries
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Mwayi Kachapila, Mark Monahan, Adesoji O. Ademuyiwa, Yakubu Momohsani Adinoyi, Bruce M. Biccard, Christina George, Dhruva N. Ghosh, James Glasbey, Dion G. Morton, Osaheni Osayomwanbo, Rupert Pearse, Tracy E. Roberts, Atul Suroy, Saidu Yusuf Yakubu, Raymond Oppong, Aneel Bhangu, Maria Lorena Aguilera, Philip Alexander, Sara W. Al-Saqqa, Giuliano Borda-Luque, Ainhoa Costas-Chavarri, Thomas M. Drake, Faustin Ntirenganya, J. Edward Fitzgerald, Stuart J. Fergusson, J.C. Allen Ingabire, Lawani Ismaïl, Hosni Khairy Salem, Anyomih Theophilus Teddy Kojo, Marie Carmela Lapitan, Richard Lilford, Andre L. Mihaljevic, Dion Morton, Alphonse Zeta Mutabazi, Dmitri Nepogodiev, Adewale O. Adisa, Riinu Ots, Francesco Pata, Thomas Pinkney, Tomas Poškus, Ahmad Uzair Qureshi, Antonio Ramos-De la Medina, Sarah Rayne, Catherine A. Shaw, Sebastian Shu, Richard Spence, Neil Smart, Stephen Tabiri, Ewen M. Harrison, Azmina Verjee, Emmy Runigamugabo, Chetan Khatri, Midhun Mohan, Zahra Jaffry, Afnan Altamini, Andrew Kirby, Kjetil Søreide, Gustavo Recinos, Jen Cornick, Maria Marta Modolo, Dushyant Iyer, Sebastian King, Tom Arthur, Sayeda Nazmum Nahar, Ade Waterman, Michael Walsh, Arnav Agarwal, Augusto Zani, Mohammed Firdouse, Tyler Rouse, Qinyang Liu, Juan Camilo Correa, Peep Talving, Mengistu Worku, Alexis Arnaud, Vassilis Kalles, Basant Kumar, Sunil Kumar, Radhian Amandito, Roy Quek, Luca Ansaloni, Ahmed Altibi, Donatas Venskutonis, Justas Zilinskas, Tomas Poskus, John Whitaker, Vanessa Msosa, Yong Yong Tew, Alexia Farrugia, Elaine Borg, Zineb Bentounsi, Tanzeela Gala, Ibrahim Al-Slaibi, Haya Tahboub, Osaid H. Alser, Diego Romani, Sebestian Shu, Piotr Major, Aurel Mironescu, Matei Bratu, Amar Kourdouli, Aliyu Ndajiwo, Abdulaziz Altwijri, Mohammed Ubaid Alsaggaf, Ahmad Gudal, Al Faifi Jubran, Sam Seisay, Bettina Lieske, Irene Ortega, Jenifa Jeyakumar, Kithsiri J. Senanayake, Omar Abdulbagi, Yucel Cengiz, Dmitri Raptis, Yuksel Altinel, Chia Kong, Ella Teasdale, Gareth Irwin, Michael Stoddart, Rakan Kabariti, Sukrit Suresh, Katherine Gash, Ragavan Narayanan, Mayaba Maimbo, Besmir Grizhja, Shpetim Ymeri, Gezim Galiqi, Roberto Klappenbach, Diego Antezana, Alvaro Enrique Mendoza Beleño, Cecilia Costa, Belen Sanchez, Susan Aviles, Claudio Gabriel Fermani, Rubén Balmaceda, Santiago Villalobos, Juan Manuel Carmona, Daniel Hamill, Peter Deutschmann, Simone Sandler, Daniel Cox, Ram Nataraja, Claire Sharpin, Damir Ljuhar, Demi Gray, Morgan Haines, Dush Iyer, Nithya Niranjan, Scott D'Amours, Morvarid Ashtari, Helena Franco, Ashrarur Rahman Mitul, Sabbir Karim, Nowrin F. Aman, Mahnuma Mahfuz Estee, Umme Salma, Joyeta Razzaque, Tasnia Hamid Kanta, Sayeeda Aktar Tori, Shadid Alamin, Swapnil Roy, Shadid Al Amin, Rezaul Karim, Muhtarima Haque, Amreen Faruq, Farhana Iftekhar, Margaret O'Shea, Greg Padmore, Ramesh Jonnalagadda, Andrey Litvin, Aliaksandr Filatau, Dzmitry Paulouski, Maryna Shubianok, Tatsiana Shachykava, Dzianis Khokha, Vladimir Khokha, Fernande Djivoh, Francis Dossou, Djifid Morel Seto, Dansou Gaspard Gbessi, Bruno Noukpozounkou, Yacoubou Imorou Souaibou, Kpèmahouton René Keke, Fred Hodonou, Ernest Yemalin Stephane Ahounou, Thierry Alihonou, Max Dénakpo, Germain Ahlonsou, Alemayehu Ginbo Bedada, Carlos Nsengiyumva, Sandrine Kwizera, Venerand Barendegere, Philip Choi, Simon Stock, Luai Jamal, Georges Azzie, Sameer Kushwaha, Tzu-Ling Chen, Chingwan Yip, Irene Montes, Felipe Zapata, Sebastian Sierra, Maria Isabel Villegas Lanau, Maria Clara Mendoza Arango, Ivan Mendoza Restrepo, Ruben Santiago Restrepo Giraldo, Edgar Domini, Robert Karlo, Jakov Mihanovic, Mohamed Youssef, Hossam Elfeki, Waleed Thabet, Aly Sanad, Gehad Tawfik, Ahmed Zaki, Noran Abdel-Hameed, Mohamed Mostafa, Muhammad Fathi Waleed Omar, Ahmed Ghanem, Emad Abdallah, Adel Denewar, Eman Emara, Eman Rashad, Ahmad Sakr, Rehab Elashry, Sameh Emile, Toqa Khafagy, Sara Elhamouly, Arwa Elfarargy, Amna Mamdouh Mohamed, Ghada Saied Nagy, Abeer Esam, Eman Elwy, Aya Hammad, Salwa Khallaf, Eman Ibrahim, Ahmed Saidbadr, Ahmed Moustafa, Amany Eldosouky Mohammed, Mohammed Elgheriany, Eman Abdelmageed, Eman Abd Al Raouf, Esraa Samir Elbanby, Maha Elmasry, Mahitab Morsy Farahat, Eman Yahya Mansor, Eman Magdy Hegazy, Esraa Gamal, Heba Gamal, Hend Kandil, Doaa Maher Abdelrouf, Mohamed Moaty, Dina Gamal, Nada El-Sagheer, Mohamed Salah, Salma Magdy, Asmaa Salah, Ahmed Essam, Ahmed Ali, Mahmoud Badawy, Sara Ahmed, Mazed Mohamed, Abdelrahman Assal, Mohamed Sleem, Mai Ebidy, Aly Abd Elrazek, Diaaaldin Zahran, Nourhan Adam, Mohamed Nazir, Adel B. Hassanein, Ahmed Ismail, Amira Elsawy, Rana Mamdouh, Mohamed Mabrouk, Lopna Ahmed Mohamed Ahmed, Mohamed Hassab Alnaby, Eman Magdy, Manar Abd-Elmawla, Marwan Fahim, Bassant Mowafy, Moustafa Ibrahim Mahmoud, Meran Allam, Muhammad Alkelani, Noran Halim El Gendy, Mariam Saad Aboul-Naga, Reham Alaa El-Din, Alyaa Halim Elgendy, Mohamed Ismail, Mahmoud Shalaby, Aya Adel Elsharkawy, Mahmoud Elsayed Moghazy, Khaled Hesham Elbisomy, Hend Adel Gawad Shakshouk, Mohamed Fouad Hamed, Mai Mohamed Ebidy, Mostafa Abdelkader, Mohamed Karkeet, Hayam Ahmed, Israa Adel, Mohammad Elsayed Omar, Mohamed Ibrahim, Omar Ghoneim, Omar Hesham, Shimaa Gamal, Karim Hilal, Omar Arafa, Sawsan Adel Awad, Menatalla Salem, Fawzia Abdellatif Elsherif, Nourhan Elsabbagh, Moustafa R. Aboelsoud, Ahmed Hossam Eldin Fouad Rida, Amr Hossameldin, Ethar Hany, Yomna Hosny Asar, Nourhan Anwar, Mohamed Gadelkarim, Samar Abdelhady, Eman Mohamed Morshedy, Reham Saad, Nourhan Soliman, Mahmoud Salama, Eslam Ezzat, Arwa Mohamed, Arwa Ibrahim, Alaa Fergany, Sara Mohammed, Aya Reda, Yomna Allam, Hanan Adel Saad, Afnan Abdelfatah, Aya Mohamed Fathy, Ahmed El-Sehily, Esraa Abdalmageed Kasem, Ahmed Tarek Abdelbaset Hassan, Ahmed Rabeih Mohammed, Abdalla Gamal Saad, Yasmin Elfouly, Nesma Elfouly, Arij Ibrahim, Amr Hassaan, Mohammed Mustafa Mohammed, Ghada Elhoseny, Mohamed Magdy, Esraa Abd Elkhalek, Yehia Zakaria, Tarek Ezzat, Ali Abo El Dahab, Mohamed Kelany, Sara Arafa, Osama Mokhtar Mohamed Hassan, Nermin Mohamed Badwi, Ahmad Saber Sleem, Hussien Ahmed, Kholoud Abdelbadeai, Mohamed Abozed Abdullah, Muhammad Amsyar Auni Lokman, Suraya Bahar, Anan Rady Abdelazeam, Abdelrahman Adelshone, Muhammad Bin Hasnan, Athirah Zulkifli, Siti Nur Alia Kamarulzamil, Abdelaziz Elhendawy, Aliang Latif, Ahmad Bin Adnan, Shahadatul Shaharuddin, Aminah Hanum Haji Abdul Majid, Mahmoud Amreia, Dina Al-Marakby, Mahmoud Salma, Mohamad Jeffrey Bin Ismail, Elissa Rifhan Mohd Basir, Citra Dewi, Mohd Ali, Aya Yehia Ata, Maha Nasr, Asmaa Rezq, Ahmed Sheta, Sherif Tariq, Abd Elkhalek Sallam, Abdelrhman K.Z. Darwish, Sohaila Elmihy, Shady Elhadry, Ahmed Farag, Haidar Hajeh, Abdelaziz Abdelaal, Amro Aglan, Ahmed Zohair, Mahitab Essam, Omar Moussa, Esraa El-Gizawy, Mostafa Samy, Safia Ali, Esraa Elhalawany, Ahmed Ata, Mohamed El Halawany, Mohamed Nashat, Samar Soliman, Alaa Elazab, Mostada Samy, Mohamed A. Abdelaziz, Khaled Ibrahim, Ahmed mohamed Ibrahim, Ammar Gado, Usama Hantour, Esraa Alm Eldeen, Mohamed Reda loaloa, Arwa Abouzaid, Mostafa Ahmed Bahaa Eldin, Eman Hashad, Fathy Sroor, Doaa Gamil, Eman Mahmoud Abdulhakeem, Mahmoud Zakaria, Fawzy Mohamed, Marwan Abubakr, Elsayed Ali, Hesham Magdy, Menna Tallah Ramadan, Mohamed Abdelaty Mohamed, Salma Mansour, Hager Abdul Aziz Amin, Ahmed Rabie Mohamed, Mahmoud Saami, Nada Ahmed Reda Elsayed, Adham Tarek, Sabry Mohy Eldeen Mahmoud, Islam Magdy El Sayed, Amira Reda, Martina Yusuf Shawky, Mohammed Mousa Salem, Shahinaz Alaa El-Din, Noha Abdullah Soliman, Muhammed Talaat, Shahinaz Alaael-Dein, Ahmed Abd Elmoen Elhusseiny, Noha Abdullah, Mohammed Elshaar, Aya AbdelFatah Ibraheem, Hager Abdulaziz, Mohammed Kamal Ismail, Mona Hamdy Madkor, Mohamed Abdelaty, Sara Mahmoud Abdel-Kader, Osama Mohamed Salah, Mahmoud Eldafrawy, Ahmed Zaki Eldeeb, Mostafa Mahmoud Eid, Attia Attia, Khalid Salah El-Dien, Ayman Shwky, Mohamed Adel Badenjki, Abdelrahman Soliman, Samaa Mahmoud Al Attar, Farrag Sayed, Fahd Abdel Sabour, Mohammed G. Azizeldine, Muhammad Shawqi, Abdullah Hashim, Ahmed Aamer, Ahmed Mahmoud Abdelraouf, Mahmoud Abdelshakour, Amal Ibrahim, Basma Mahmoud, Mohamed Ali Mahmoud, Mostafa Qenawy, Ahmed M. Rashed, Ahmed Dahy, Marwa Sayed, Ahmed W. Shamsedine, Bakeer Mohamed, Ahmad Hasan, Mahmoud M. Saad, Khalil Abdul Bassit, Nadia Khalid Abd El-Latif, Nada Elzahed, Ahmed El Kashash, Nada Mohamed Bekhet, Sarah Hafez, Ahmed Gad, Mahmoud Elkhadragy Maher, Ahmed Abd Elsameea, Mohamed Hafez, Ahmad Sabe, Ataa Ahmed, Ahmed Shahine, Khaled Dawood, Shireen Gaafar, Reem Husseiny, Omnia Aboelmagd, Ahmed Soliman, Nourhan Mesbah, Hossam Emadeldin, Amgad Al Meligy, Amira Hassan Bekhet, Doaa Hasan, Khaled Alhady, Ahmad Khaled Sabe, Mahmoud A. Elnajjar, Majed Aboelella, Ward Hamsho, Ihab Hassan, Hala Saad, Galaleldin Abdelazim, Hend Mahmoud, Noha Wael, Ahmedali M. Kandil, Ahmed Magdy, Shimaa Said Elkholy, Badr Eldin Adel, Kareem Dabbour, Saged Elsherbiney, Omar Mattar, Abdulshafi Khaled Abdrabou, Mohammed Yahia Mohamed Aly, Abdelrahman Geuoshy, Ahmedglal Elnagar, Saraibrahim Ahmed, Ibrahem Abdelmotaleb, Amr Ahmed Saleh, Manar Saeed, Shady Mahmoud, Badreldin Adel Tawfik, Samar Adel Ismail, Esraay Zakaria, Mariam O. Gad, Mohamed Salah Elhelbawy, Monica Bassem, Noha Maraie, Nourhan Medhat Elhadary, Nourhan Semeda, Shaza Rabie Mohamed, Hesham Mohammed Bakry, A.A. Essam, Dina Tarek, Khlood Ashour, Alaa Elhadad, Abdulrahman Abdel-Aty, Ibrahim Rakha, Sara Mamdouh Matter, Rasha Abdelhamed, Omar Abdelkader, Ayat Hassaan, Yasmin Soliman, Amna Mohamed, Sara Ghanem, Sara Amr Mohamed Farouk, Eman Mohamed Ibrahim, Esraa El-Taher, Merna Mostafa, Mohamed Fawzy Mahrous Badr, Rofida Elsemelawy, Aya El-Sawy, Ahmad Bakr, Ahmad Abdel Razaq Al Rafati, Sten Saar, Arvo Reinsoo, Nebyou Seyoum, Tewodros Worku, Agazi Fitsum, Matti Tolonen, Ari Leppäniemi, Ville Sallinen, Benoît Parmentier, Matthieu Peycelon, Sabine Irtan, Sabrina Dardenne, Elsa Robert, Betty Maillot, Etienne Courboin, Alexis Pierre Arnaud, Juliette Hascoet, Olivier Abbo, Amir Ait Kaci, Thomas Prudhomme, Quentin Ballouhey, Céline Grosos, Laurent Fourcade, Tolg Cecilia, Colombani Jean-Francois, Francois-Coridon Helene, Xavier Delforge, Elodie Haraux, Bertrand Dousset, Roberto Schiavone, Sebastien Gaujoux, Jean-Baptiste Marret, Aurore Haffreingue, Julien Rod, Mariette Renaux-Petel, Jean-François Lecompte, Jean Bréaud, Pauline Gastaldi, Chouikh Taieb, Raquillet Claire, Echaieb Anis, Nasir Bustangi, Manuel Lopezv, Aurelien Scalabre, Maria Giovanna Grella, Aurora Mariani, Guillaume Podevin, Françoise Schmitt, Erik Hervieux, Aline Broch, Cecile Muller, Dickson Bandoh, Francis Abantanga, Martin Kyereh, Hamza Asumah, Eric Kofi Appiah, Paul Wondoh, Adam Gyedu, Charles Dally, Kwabena Agbedinu, Michael Amoah, Abiboye Yifieyeh, Frank Owusu, Mabel Amoako-Boateng, Makafui Dayie, Richmond Hagan, Sam Debrah, Micheal Ohene-Yeboah, Joe-Nat Clegg-Lampety, Victor Etwire, Jonathan Dakubo, Samuel Essoun, William Bonney, Hope Glover-Addy, Samuel Osei-Nketiah, Joachim Amoako, Niiarmah Adu-Aryee, William Appeadu-Mensah, Antoinette Bediako-Bowan, Florence Dedey, Mattew Ekow, Emmanuel Akatibo, Musah Yakubu, Hope Edem Kofi Kordorwu, Kwasi Asare-Bediako, Enoch Tackie, Kenneth Aaniana, Emmanuel Acquah, Richard Opoku-Agyeman, Anthony Avoka, Kwasi Kusi, Kwame Maison, Frank Enoch Gyamfi, Gandau Naa Barnabas, Saiba Abdul-Latif, Philip Taah Amoako, Anthony Davor, Victor Dassah, Enoch Dagoe, Prince Kwakyeafriyie, Elliot Akoto, Eric Ackom, Ekow Mensah, Ebenezer Takyi Atkins, Christian Lari Coompson, Nikolaos Ivros, Christoforos Ferousis, Vasileios Kalles, Christos Agalianos, Ioannis Kyriazanos, Christos Barkolias, Angelos Tselos, Georgios Tzikos, Evangelos Voulgaris, Dimitrios Lytras, Athanasia Bamicha, Kyriakos Psarianos, Anastasios Stefanopoulos, Ioannis Patoulias, Dimitrios Sfougaris, Ioannis Valioulis, Dimitrios Balalis, Dimitrios Korkolis, Dimitrios K. Manatakis, Georgios Kyrou, Georgios Karabelias, Iason-Antonios Papaskarlatos, Kolonia Konstantina, Nikolaos Zampitis, Stylianos Germanos, Aspasia Papailia, Theodosios Theodosopoulos, Georgios Gkiokas, Magdalini Mitroudi, Christina Panteli, Thomas Feidantsis, Konstantinos Farmakis, Dimitrios Kyziridis, Orestis Ioannidis, Styliani Parpoudi, Georgios Gemenetzis, Stavros Parasyris, Christos Anthoulakis, Nikolaos Nikoloudis, Michail Margaritis, Maria-Lorena Aguilera-Arevalo, Otto Coyoy-Gaitan, Javier Rosales, Luis Tale, Rafael Soley, Emmanuel Barrios, Servio Tulio Torres Rodriguez, Carlos Paz Galvez, Danilo Herrera Cruz, Guillermo Sanchez Rosenberg, Alejandro Matheu, David Monterroso Cohen, Marie Paul, Angeline Charles, Justin Chak Yiu Lam, Man Hon Andrew Yeung, Chi Ying Jacquelyn Fok, Ka Hin Gabriel Li, Anthony Chuk-Him Lai, Yuk Hong Eric Cheung, Hong Yee Wong, Ka Wai Leung, Tien Seng Bryan Lee, Wai Him Lam, Weihei Dao, Stephanie Hiu-wai Kwok, Tsz-Yan Katie Chan, Yung Kok Ng, T.W.C. Mak, Chi Chung Foo, James Yang, Ankur Bhatnagar, Vijaid Upadhyaya, Uday Muddebihal, Wasim Dar, K.C. Janardha, Neerav Aruldas, Fidelis Jacklyn Adella, Anthonius Santoso Rulie, Ferdy Iskandar, Jonny Setiawan, Cicilia Viany Evajelista, Hani Natalie, Arlindawati Suyadi, Rudy Gunawan, Herlin Karismaningtyas, Lusi Padma Sulistianingsih Mata, Ferry Fitriya Ayu Andika, Afifatun Hasanah, T. Ariani Widiastini, Nurlaila Ayu Purwaningsih, Annisa Dewi Fitriana Mukin, Dina Faizatur Rahmah, Hazmi Dwinanda Nurqistan, Hasbi Maulana Arsyad, Novia Adhitama, Wifanto Saditya Jeo, Nathania Sutandi, Audrey Clarissa, Phebe Anggita Gultom, Matthew Billy, Andreass Haloho, Nadya Johanna, Felix Lee, Radin Mohd Nurrahman Radin Dorani, Martha Glynn, Mohammad Alherz, Wennweoi Goh, Haaris A. Shiwani, Lorraine Sproule, Kevin C. Conlon, Miklosh Bala, Asaf Kedar, Luca Turati, Federica Bianco, Francesca Steccanella, Gaetano Gallo, Mario Trompetto, Giuseppe Clerico, Matteo Papandrea, Giuseppe Sammarco, Rosario Sacco, Angelo Benevento, Luisa Giavarini, Mariano Cesare Giglio, Luigi Bucci, Gianluca Pagano, Viviana Sollazzo, Roberto Peltrini, Gaetano Luglio, Arianna Birindelli, Salomone Di Saverio, Gregorio Tugnoli, Miguel Angel Paludi, Pietro Mingrone, Domenica Pata, Francesco Selvaggi, Lucio Selvaggi, Gianluca Pellino, Natale Di Martino, Gianluca Curletti, Paolo Aonzo, Raffaele Galleano, Stefano Berti, Elisa Francone, Silvia Boni, Laura Lorenzon, Annalisa lo Conte, Genoveffa Balducci, Gianmaria Confalonieri, Giovanni Pesenti, Laura Gavagna, Giorgio Vasquez, Simone Targa, Savino Occhionorelli, Dario Andreotti, Giacomo Pata, Andrea Armellini, Deborah Chiesa, Fabrizio Aquilino, Nicola Chetta, Arcangelo Picciariello, Mohamed Abdelkhalek, Andrea Belli, Silvia De Franciscis, Annamaria Bigaran, Alessandro Favero, Stefano M.M. Basso, Paola Salusso, Martina Perino, Sylvie Mochet, Diego Sasia, Francesco Riente, Marco Migliore, David Merlini, Silvia Basilicò, Carlo Corbellini, Veronica Lazzari, Yuri Macchitella, Luigi Bonavina, Daniele Angelieri, Diego Coletta, Federica Falaschi, Marco Catani, Claudia Reali, Mariastella Malavenda, Celeste Del Basso, Sergio Ribaldi, Massimo Coletti, Andrea Natili, Norma Depalma, Immacolata Iannone, Angelo Antoniozzi, Davide Rossi, Daniele Gui, Gerardo Perrotta, Matteo Ripa, Francesco Ruben Giardino, Maurizio Foco, Erika Vicario, Federico Coccolini, Gabriela Elisa Nita, Nicoletta Leone, Andrea Bondurri, Anna Maffioli, Andrea Simioni, Davide De Boni, Sandro Pasquali, Elena Goldin, Elena Vendramin, Eleonora Ciccioli, Umberto Tedeschi, Luca Bortolasi, Paola Violi, Tommaso Campagnaro, Simone Conci, Giovanni Lazzari, Calogero Iacono, Alfredo Gulielmi, Serena Manfreda, Anna Rinaldi, Maria Novella Ringressi, Beatrice Brunoni, Giuseppe Salamone, Mirko Mangiapane, Paolino De Marco, Antonella La Brocca, Roberta Tutino, Vania Silvestri, Leo Licari, Tommaso Fontana, Nicolò Falco, Gianfranco Cocorullo, Mostafa Shalaby, Pierpaolo Sileri, Claudio Arcudi, Isam Bsisu, Khaled Aljboor, Lana Abusalem, Aseel Alnusairat, Ahmad Qaissieh, Emad Al-Dakka, Ali Ababneh, Oday Halhouli, Taha Yusufali, Hussein Mohammed, Justus Lando, Robert Parker, Wairimu Ndegwa, Mantas Jokubauskas, Jolanta Gribauskaite, Justas Kuliavas, Audrius Dulskas, Narimantas E. Samalavicius, Kristijonas Jasaitis, Audrius Parseliunas, Viktorija Nevieraite, Margarita Montrimaite, Evelina Slapelyte, Edvinas Dainius, Romualdas Riauka, Zilvinas Dambrauskas, Andrejus Subocius, Linas Venclauskas, Antanas Gulbinas, Saulius Bradulskis, Simona Kasputyte, Deimante Mikuckyte, Mindaugas Kiudelis, Tomas Jankus, Steponas Petrikenas, Matas Pažuskis, Zigmantas Urniežius, Mantas Vilčinskas, Vincas Jonas Banaitis, Vytautas Gaižauskas, Edvard Grisin, Povilas Mazrimas, Rokas Rackauskas, Mantas Drungilas, Karolis Lagunavicius, Vytautas Lipnickas, Dovilè Majauskyté, Valdemaras Jotautas, Tomas Abaliksta, Laimonas Uščinas, Gintaras Simutis, Adomas Ladukas, Donatas Danys, Erikas Laugzemys, Saulius Mikalauskas, Elena Zdanyte Sruogiene, Petras Višinskas, Reda Žilinskienė, Deividas Dragatas, Andrius Burmistrovas, Zygimantas Tverskis, Arturas Vaicius, Ruta Mazelyte, Antanas Zadoroznas, Nerijus Kaselis, Greta Žiubrytė, Finaritra Casimir Fleur Prudence Rahantasoa, Luc Hervé Samison, Fanjandrainy Rasoaherinomenjanahary, Todisoa Emmanuella Christina Tolotra, Cornelius Mukuzunga, Chimwemwe Kwatiwani, Nelson Msiska, Feng Yih Chai, Siti Mohd Desa Asilah, Khuzaimah Zahid Syibrah, Pui Xin Chin, Afizah Salleh, Nur Zulaika Riswan, April Camilla Roslani, Hoong-Yin Chong, Nora Abdul Aziz, Keat-Seong Poh, Chu-Ann Chai, Sandip Kumar, Mustafa Mohammed Taher, Nik Ritza Kosai, Dayang Nita Abdul Aziz, Reynu Rajan, Rokayah Julaihi, Durvesh Lacthman Jethwani, Muhammad Taqiyuddin Yahaya, Nik Azim Nik Abdullah, Susan Wndy Mathew, Kuet Jun Chung, Milaksh Kumar Nirumal, R. Goh Ern Tze, Syed Abdul Wahhab Eusoffee Wan Ali, Yiing Yee Gan, Jesse Ron Swire Ting, Samuel S.Y. Sii, Kean Leong Koay, Yi Koon Tan, Alvin Ee Zhiun Cheah, Chui Yee Wong, Tuan Nur'Azmah Tuan Mat, Crystal Yern Nee Chow, Prisca A.L. Har, Yishan Der, Fitjerald Henry, Xinwei Low, Ya Theng Neo, Hian Ee Heng, Shu Ning Kong, Cheewei Gan, Yi Ting Mok, Yee Wen Tan, Kandasami Palayan, Mahadevan Deva Tata, Yih Jeng Cheong, Kuhaendran Gunaseelan, Wan Nurul 'Ain Wan Mohd Nasir, Pigeneswaren Yoganathan, Eu Xian Lee, Jian Er Saw, Li Jing Yeang, Pei Ying Koh, Shyang Yee Lim, Shuang Yi Teo, Nicole Grech, Daniela Magri, Kristina Cassar, Christine Mizzi, Malcolm Falzon, Nihaal Shaikh, Ruth Scicluna, Stefan Zammit, Sean Mizzi, Svetlana Doris Brincat, Thelma Tembo, Vu Thanh Hien Le, Tara Grima, Keith Sammut, Kurt Carabott, Ciskje Zarb, Andre Navarro, Thea Dimech, Georgette Marie Camilleri, Isaac Bertuello, Jeffrey Dalli, Karl Bonavia, Samantha Corro-Diaz, Marisol Manriquez-Reyes, Amina Abdelhamid, Abdelmalek Hrora, Sarah Benammi, Houda Bachri, Meryem Abbouch, Khaoula Boukhal, Redouane Mammar Bennai, Abdelkader Belkouchi, Mohamed Sobhi Jabal, Chaymae Benyaiche, Maarten Vermaas, Lucia Duinhouwer, Javier Pastora, Greta Wood, Maria Soledad Merlo, Akinlabi Ajao, Omobolaji Ayandipo, Taiwo Lawal, Abdussemiu Abdurrazzaaq, Muslimat Alada, Abdulrasheed Nasir, James Adeniran, Olufemi Habeeb, Ademola Popoola, Ademola Adeyeye, Ademola Adebanjo, Opeoluwa Adesanya, Adewale Adeniyi, Henry Mendel, Bashir Bello, Umar Muktar, Adedapo Osinowo, Thomas Olagboyega Olajide, Oyindamola Oshati, George Ihediwa, Babajide Adenekan, Victor Nwinee, Felix Alakaloko, Adesoji Ademuyiwa, Olumide Elebute, Abdulrazzaq Lawal, Chris Bode, Mojolaoluwa Olugbemi, Alaba Adesina, Olubukola Faturoti, Oluwatomi Odutola, Oluwaseyi Adebola, Clement Onuoha, Ogechukwu Taiwo, Omolara Williams, Fatai Balogun, Olalekan Ajai, Mobolaji Oludara, Iloba Njokanma, Roland Osuoji, Stephen Kache, Jonathan Ajah, Jerry Makama, Ahmed Adamu, Suleiman Baba, Mohammad Aliyu, Shamsudeen Aliyu, Yahaya Ukwenya, Halima Aliyu, Tunde Sholadoye, Muhammad Daniyan, Oluseyi Ogunsua, Lofty-John Anyanwu, Abdurrahaman Sheshe, Aminu Mohammad, Samson Olori, Philip Mshelbwala, Babatunde Odeyemi, Garba Samson, Oyediran Kehinde Timothy, Sani Ali Samuel, Anthony Ajiboye, Isaac Amole, Olajide Abiola, Akin Olaolorun, Torhild Veen, Arezo Kanani, Kristian Styles, Ragnar Herikstad, Johannes Wiik Larsen, Jon Arne Søreide, Elisabeth Jensen, Mads Gran, Eirik Kjus Aahlin, Tina Gaarder, Peter Wiel Monrad-Hansen, Pål Aksel Næss, Giedrius Lauzikas, Joachim Wiborg, Silje Holte, Knut Magne Augestad, Gurpreet Singh Banipal, Michela Monteleone, Thomas Tetens Moe, Johannes Kurt Schultz, Taher Al-Taher, Ayah Hamdan, Ayman Salman, Rana Saadeh, Aseel Musleh, Dana Jaradat, Soha Abushamleh, Sakhaa Hanoun, Amjad Abu Qumbos, Aseel Hamarshi, Ayman, Taher, Israa Qawasmi, Khalid Qurie, Marwa Altarayra, Mohammad Ghannam, Alaa Shaheen, Azher Herebat, Aram Abdelhaq, Ahmad Shalabi, Maram Abu-Toyour, Fatema Asi, Ala Shamasneh, Anwar Atiyeh, Mousa Mustafa, Rula Zaa'treh, Majd Dabboor, Enas Alaloul, Heba Baraka, Jehad Meqbil, Alaa Al-Buhaisi, Mohamedraed Elshami, Samah Afana, Sahar Jaber, Said Alyacoubi, Yousef Abuowda, Tasneem Idress, Eman Abuqwaider, Sara Al-Saqqa, Alaa Bowabsak, Alaa El Jamassi, Doaa Hasanain, Hadeel Al-Farram, Maram Salah, Aya Firwana, Marwa Hamdan, Israa Awad, Ahmad Ashour, Fayez Elian Al Barrawi, Ahmed Al-Khatib, Maha Al-Faqawi, Mohamed Fares, Amjad Elmashala, Mohammad Adawi, Ihdaa Adawi, Reem Khreishi, Rose Khreishi, Ahed Ghaben, Najwa Nadeem, Muhammad Saqlain, Jibran Abbasy, Abdul Rehman Alvi, Noman Shahzad, Kamran Faisal Bhopal, Zainab Iftikhar, Muhammad Talha Butt, Syed Asaat Ul Razi, Asdaq Ahmed, Ali Khan Niazi, Ibrahim Raza, Fatima Baluch, Ahmed Raza, Ahmad Bani-Sadar, Muhammad Adil, Awais Raza, Mahnoor Javaid, Muhammad Waqar, Maryam Ali Khan, Mohammad Mohsin Arshad, Mohammadasim Amjad, Gustavo Miguel Machain Vega, Jorge Torres Cardozo, Marcelo O´Higgins Roche, Gustavo Rodolfo Pertersen Servin, Helmut Alfredo Segovia Lohse, Larissa Ines Páez Lopez, Ramón Augusto Melo Cardozo, Fernando Espinoza, Angel David Pérez Rojas, Diana Sanchez, Camila Sanchez Samaniego, Shalon Guevara Torres, Alexander Canta Calua, Cesar Razuri, Nadia Ortiz, Xianelle Rodriguez, Nahilia Carrasco, Fridiz Saravia, Hector Shibao Miyasato, María Valcarcel-Saldaña, Ysabel Esthefany Alejos Bermúdez, Juan Carpio, Walter Ruiz Panez, Pedro Angel Toribio Orbegozo, Carolina Guzmán Dueñas, Kevin Turpo Espinoza, Ana Maria Sandoval Barrantes, Jorge Armando Chungui Bravo, Lorena Fuentes-Rivera, Carmen Fernández, Bárbara Málaga, Joselyn Ye, Ricardo Velasquez, Jannin Salcedo, Ana Lucia Contreras-Vergara, Angelica Genoveva Vergara Mejia, Maria Soledad Gonzales Montejo, Marilia Del Carmen Escalante Salas, Willy Alcca Ticona, Marvin Vargas, George Christian Manrique Sila, Robinson Mas, Arazzelly del Pilar Paucar, Armando José Román Velásquez, Alina Robledo-Rabanal, Ludwing Alexander Zeta Solis, Kenny Turpo Espinoza, José Luis Hamasaki Hamaguchi, Erick Samuel Florez Farfan, Linda Alvi Madrid Barrientos, Juan Jaime Herrera Matta, John Jemuel V. Mora, Menold Archee P. Redota, Manuel Francisco Roxas, Maria Jesusa B. Maño, Marie Dione Parreno-Sacdalan, Christel Leanne Almanon, Maciej Walędziak, Rafał Roszkowski, Michał Janik, Anna Lasek, Dorota Radkowiak, Mateusz Rubinkiewicz, Cristina Fernandes, Jose Costa-Maia, Renato Melo, Liviu Muntean, Aurel Sandu Mironescu, Lucian Corneliu Vida, Mariuca Popa, Hogea Mircea, Mihaela Vartic, Bogdan Diaconescu, Matei Razvan Bratu, Ionut Negoi, Mircea Beuran, Cezar Ciubotaru, Norbert Uzabumwana, Dieudonne Duhoranenayo, Elio Jovine, Nicola Zanini, Giovanni Landolfo, Murad Aljiffry, Faisal Idris, Mohammed Saleh A. Alghamdi, Ashraf Maghrabi, Abdulmalik Altaf, Aroub Alkaaki, Ahmad Khoja, Abrar Nawawi, Sondos Turkustani, Eyad Khalifah, Adel Albiety, Sarah Sahel, Reham Alshareef, Mohammed Najjar, Ahmed Alzahrani, Ahmed Alghamdi, Wedyan Alhazmi, Ghiath Al Saied, Mohammed Alamoudi, Muhammed Masood Riaz, Mazen Hassanain, Basmah Alhassan, Abdullah Altamimi, Reem Alyahya, Norah Al Subaie, Fatema Al Bastawis, Afnan Altamimi, Thamer Nouh, Roaa Khan, Milan Radojkovic, Ljiljana Jeremic, Milica Nestorovic, Jia Hao Law, Keith Say Kwang Tan, Ryan Choon Kiat Tan, Joel Kin Tan, Lau Wen Liang Joel, Xue Wei Chan, Faith Qi Hui Leong, Choon Seng Chong, Sharon Koh, Kai Yin Lee, Kuok Chung Lee, Kent Pluke, Britta Dedekind, Puyearashid Nashidengo, Mark Ian Hampton, Johanna Joosten, Sanju Sobnach, Liana Roodt, Anthony Sander, James Pape, Niveshni Maistry, Phumudzo Ndwambi, Kamau Kinandu, Myint Tun, Frederick Du Toit, Quinn Ellison, D.C. Grobler, Sule Burger, Lawrence Bongani Khulu, Rachel Moore, Vicky Jennings, Astrid Leusink, Nazmie Kariem, Juan Gouws, Kathryn Chu, Heather Bougard, Fazlin Noor, Angela Dell, Stephanie Van Straten, Arvin Khamajeet, Serge Kapenda Tshisola, Kalangu Kabongo, Victor Kong, Yoshan Moodley, Frank Anderson, Thandinkosi Madiba, Flip du Plooy, Leila Hartford, Gareth Chilton, Parveen Karjiker, Matlou Ernest Mabitsela, Sibongile Ruth Ndlovu, Maria Badicel, Robert Jaich, Jaime Ruiz-Tovar, Luis Garcia-Florez, Jorge L. Otero-Díez, Virginia Ramos Pérez, Nuria Aguado Suárez, Javier Minguez García, Sara Corral Moreno, Maria Vicenta Collado, Virginia Jiménez Carneros, Javier García Septiem, Mariana Gonzalez, Antonio Picardo, Enrique Esteban, Esther Ferrero, Eloy Espin-Basany, Ruth Blanco-Colino, Valeria Andriola, Lorena Solar García, Elisa Contreras, Carmen García Bernardo, Janet Pagnozzi, Sandra Sanz, Alberto Miyar de León, Asnel Dorismé, Joseluis Rodicio, Aida Suarez, Jessica Stuva, Tamara Diaz Vico, Laura Fernandez-Vega, Carla Soldevila-Verdeguer, Fatima Sena-Ruiz, Natalia Pujol-Cano, Paula Diaz-Jover, José Maria Garcia-Perez, Juan Jose Segura-Sampedro, Cristina Pineño-Flores, David Ambrona-Zafra, Andrea Craus-Miguel, Patricia Jimenez-Morillas, Angela Mazzella, A.B. Jayathilake, S.P.B. Thalgaspitiya, L.S. Wijayarathna, P.M.S.N. Wimalge, Hakeem Ayomi Sanni, Ogheneochuko Okenabirhie, Anmar Homeida, Abobaker Younis, Omer Abdelbagi Omer, Mustafa Abdulaziz, Ali Mussad, Ali Adam, Ida Björklund, Sandra Ahlqvist, Anders Thorell, Fredrik Wogensen, Arestis Sokratous, Michaela Breistrand, Hildur Thorarinsdottir, Johanna Sigurdadottir, Maziar Nikberg, Abbas Chabok, Maria Hjertberg, Peter Elbe, Deborah Saraste, Wiktor Rutkowski, Louise Forlin, Karoliina Niska, Malin Sund, Dennis Oswald, Georgios Peros, Rafael Bluelle, Katharina Reinisch, Daniel Frey, Adrian Palma, Dimitri Aristotle Raptis, Lucius Zumbühl, Markus Zuber, Roger Schmid, Gabriela Werder, Antonio Nocito, Alexandra Gerosa, Silke Mahanty, Lukas Werner Widmer, Julia Müller, Alissa Gübeli, Grzegorz Zuk, Osman Bilgin Gulcicek, Talar Vartanoglu, Emin Kose, Servet Rustu Karahan, Mehmet Can Aydin, Nuri Alper Sahbaz, Ilkay Halicioglu, Halil Alis, Ipek Sapci, Can Adıyaman, Ahmet Murat Pektaş, Turgut Bora Cengiz, Ilkan Tansoker, Vedatcan Işler, Muazzez Cevik, Deniz Mutlu, Volkan Ozben, Berk Baris Ozmen, Sefa Bayram, Sinem Yolcu, Berna Buse Kobal, Ömer Faruk Toto, Haluk Cem Çakaloğlu, Kagan Karabulut, Vahit Mutlu, Bahar Busra Ozkan, Saban Celik, Anil Semiz, Selim Bodur, Enisburak Gül, Busra Murutoglu, Reyyan Yildirim, Bahadir Emre Baki, Ekin Arslan, Mehmet Ulusahin, Ali Guner, Nathan Walker, Nikhita Shrimanker, Simon Cole, Ryan Breslin, Ravi Srinivasan, Mohamed Elshaer, Kristina Hunter, Ahmed Al-Bahrani, Ignatius Liew, Nora Grace Mairs, Alistair Rocke, Lachlan Dick, Mobeen Qureshi, Debkumar Chowdhury, Naomi Wright, Clare Skerritt, Dorothy Kufeji, Adrienne Ho, Tharindra Dissanayake, Athula Tennakoon, Wadah Ali, Shujing Jane Lim, Charlene Tan, Stephen O'Neill, Catrin Jones, Stephen Knight, Dima Nassif, Abhishek Sharma, Oliver Warren, Rebecca White, Aia Mehdi, Nathan Post, Eliana Kalakouti, Enkhbat Dashnyam, Frederick Stourton, Ioannis Mykoniatis, Chelise Currow, Francisca Wong, Ashish Gupta, Veeranna Shatkar, Joshua Luck, Suraj Kadiwar, Alexander Smedley, Rebecca Wakefield, Philip Herrod, James Blackwell, Jonathan Lund, Fraser Cohen, Ashwath Bandi, Stefano Giuliani, Giles Bond-Smith, Theodore Pezas, Neda Farhangmehr, Tomas Urbonas, Miklos Perenyei, Philip Ireland, Natalie Blencowe, Kirk Bowling, David Bunting, Lydia Longstaff, Kenneth Keogh, Hyunjin Jeon, Muhammad Rafaih Iqbal, Shivun Khosla, Anna Jeffery, James Perera, Ahmad Aboelkassem Ibrahem, Tariq Alhammali, Yahya Salama, Shaun Oram, Thomas Kidd, Fraser Cullen, Christopher Owen, Michael Wilson, Seehui Chiu, Hannah Sarafilovic, Jennifer Ploski, Elizabeth Evans, Athar Abbas, Sylvia Kamya, Norzawani Ishak, Carly Bisset, Cedar Andress, Ye Ru Chin, Priya Patel, David Evans, Aidan Haslegrave, Adam Boggon, Kirsten Laurie, Katie Connor, Thomas Mann, Anahita Mansuri, Rachel Davies, Ewen Griffiths, Aized Raza Shahbaz, Calvin Eng, Farhat Din, Ariadne L'Heveder, Esther H.G. Park, Ramanish Ravishankar, Kirsten McIntosh, Jih Dar Yau, Luke Chan, Susan McGarvie, Lingshan Tang, Hui Lim, Suhhuey Yap, Jay Park, Zhan Herr Ng, Shahrukh Mirza, Yun Lin Ang, Luke Walls, Chloe Roy, Simon Paterson-Brown, Julian Camilleri-Brennan, Kenneth Mclean, Michelle S. D'Souza, Savva Pronin, David Ewart Henshall, Eunice Zuling Ter, Dina Fouad, Ashish Minocha, William English, Catrin Morgan, Dominic Townsend, Laura Maciejec, Shareef Mahdi, Onyinye Akpenyi, Elisabeth Hall, Hanaan Caydiid, Zakaria Rob, Tom Abbott, Hew D. Torrance, Robin Johnston, Mohammed Akil Gani, Gianpiero Gravante, Shivanchan Rajmohan, Kiran Majid, Shiva Dindyal, Christopher Smith, Madanmohan Palliyil, Sanjay Patel, Luke Nicholson, Neil Harvey, Katie Baillie, Sam Shillito, Suzanne Kershaw, Rebecca Bamford, Peter Orton, Elke Reunis, Robert Tyler, Wai Cheong Soon, Guled M. Jama, Dharminder Dhillon, Khyati Patel, Shayanthan Nanthakumaran, Rachel Heard, Kar Yan Chen, Behrad Barmayehvar, Uttaran Datta, Sivesh K. Kamarajah, Sharad Karandikar, Sobhana Iftekhar Tani, Eimear Monaghan, Philippa Donnelly, Michael Walker, Jehangirshaw Parakh, Sarah Blacker, Anil Kaul, Arjun Paramasivan, Sameh Farag, Ashrafun Nessa, Salwa Awadallah, Jieqi Lim, James Chean Khun Ng, Ravi P. Kiran, Alice Murray, Eric Etchill, Mohini Dasari, Juan Puyana, Nadeem Haddad, Martin Zielinski, Asad Choudhry, Celeste Caliman, Mieshia Beamon, Therese Duane, Mamta Swaroop, Jonathan Myers, Rebecca Deal, Erik Schadde, Mark Hemmila, Lena Napolitano, Kathleen To, Alex Makupe, Joseph Musowoya, Niels Van Der Naald, Dayson Kumwenda, Alex Reece-Smith, Kars Otten, Anna Verbeek, Marloes Prins, Alibeth Andres Baquero Suarez, Ruben Balmaceda, Chelsea Deane, Emilio Dijan, Mahmoud Elfiky, Laura Koskenvuo, Aurore Thollot, Bernard Limoges, Carmen Capito, Challine Alexandre, Henri Kotobi, Julien Leroux, Kalitha Pinnagoda, Nicolas Henric, Olivier Azzis, Olivier Rosello, Poddevin Francois, Sara Etienne, Philippe Buisson, Sophian Hmila, Joe-Nat Clegg-Lamptey, Osman Imoro, Owusu Emmanuel Abem, Dimitrios Papageorgiou, Vasiliki Soulou, Sabrina Asturias, Lenin Peña, Donal B. O’Connor, Alberto Realis Luc, Alfio Alessandro Russo, Andrea Ruzzenente, Antonio Taddei, Camilla Cona, Corrado Bottini, Giovanni Pascale, Giuseppe Rotunno, Leonardo Solaini, Marco Maria Pascale, Margherita Notarnicola, Mario Corbellino, Michele Sacco, Paolo Ubiali, Roberto Cautiero, Tommaso Bocchetti, Elena Muzio, Vania Guglielmo, Eugenio Morandi, Patrizio Mao, Emilia De Luca, Farah Mahmoud Ali, Justas Žilinskas, Kestutis Strupas, Paulius Kondrotas, Robertas Baltrunas, Juozas Kutkevicius, Povilas Ignatavicius, Choy Ling Tan, Jia Yng Siaw, Sir Young Yam, Ling Wilson, Mohamed Rezal Abdul Aziz, John Bondin, Carmina Diaz Zorrilla, Anass Majbar, Danjuma Sale, Lawal Abdullahi, Olabisi Osagie, Omolara Faboya, Adedeji Fatuga, Agboola Taiwo, Emeka Nwabuoku, Marte Bliksøen, Zain Ali Khan, Jazmin Coronel, Cesar Miranda, Idelso Vasquez, Luis M. Helguero-Santin, Jennifer Rickard, Adesina Adedeji, Saleh Alqahtani, Max Rath, Michael Van Niekerk, Modise Zacharia Koto, Roel Matos-Puig, Leif Israelsson, Tobias Schuetz, Mahmut Arif Yuksek, Meric Mericliler, Mehmet Uluşahin, Bernhard Wolf, Cameron Fairfield, Guo Liang Yong, Katharine Whitehurst, Natalie Redgrave, Caroluce K. Musyoka, James Olivier, Kathryn Lee, Michael Cox, Muhamed M.H. Farhan-Alanie, Rory Callan, Chali Chibuye, Tebian Hassanein Ahmed Ali, Syrine Rekhis, Muna Rommaneh, Zi Hao Sam, Thays Brunelli Pugliesi, Gabriel Pardo, and Ruth Blanco
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abdominal surgery ,cost-effectiveness analysis ,global surgery ,high fraction of inspired oxygen ,low-and middle-income countries ,surgical site infection ,Anesthesiology ,RD78.3-87.3 - Abstract
Background: This study assessed the potential cost-effectiveness of high (80–100%) vs low (21–35%) fraction of inspired oxygen (FiO2) at preventing surgical site infections (SSIs) after abdominal surgery in Nigeria, India, and South Africa. Methods: Decision-analytic models were constructed using best available evidence sourced from unbundled data of an ongoing pilot trial assessing the effectiveness of high FiO2, published literature, and a cost survey in Nigeria, India, and South Africa. Effectiveness was measured as percentage of SSIs at 30 days after surgery, a healthcare perspective was adopted, and costs were reported in US dollars ($). Results: High FiO2 may be cost-effective (cheaper and effective). In Nigeria, the average cost for high FiO2 was $216 compared with $222 for low FiO2 leading to a −$6 (95% confidence interval [CI]: −$13 to −$1) difference in costs. In India, the average cost for high FiO2 was $184 compared with $195 for low FiO2 leading to a −$11 (95% CI: −$15 to −$6) difference in costs. In South Africa, the average cost for high FiO2 was $1164 compared with $1257 for low FiO2 leading to a −$93 (95% CI: −$132 to −$65) difference in costs. The high FiO2 arm had few SSIs, 7.33% compared with 8.38% for low FiO2, leading to a −1.05 (95% CI: −1.14 to −0.90) percentage point reduction in SSIs. Conclusion: High FiO2 could be cost-effective at preventing SSIs in the three countries but further data from large clinical trials are required to confirm this.
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- 2023
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20. High SARS-CoV-2 seroprevalence in Lagos, Nigeria with robust antibody and cellular immune responses
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Sulaimon Akanmu, Bobby Brooke Herrera, Beth Chaplin, Sade Ogunsola, Akin Osibogun, Fatima Onawoga, Sarah John-Olabode, Iorhen E. Akase, Augustina Nwosu, Donald J. Hamel, Charlotte A. Chang, and Phyllis J. Kanki
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COVID-19 ,SARS CoV-2 ,Healthcare workers ,Vaccine ,Antibody ,T-cell ,Infectious and parasitic diseases ,RC109-216 - Abstract
Background: Early evidence suggested that the impact of the COVID-19 pandemic was less severe in Africa compared to other parts of the world. However, more recent studies indicate higher SARS-CoV-2 infection and COVID-19 mortality rates on the continent than previously documented. Research is needed to better understand SARS-CoV-2 infection and immunity in Africa. Methods: In early 2021, we studied the immune responses in healthcare workers (HCWs) at Lagos University Teaching Hospital (n = 134) and Oxford-AstraZeneca COVID-19 vaccine recipients from the general population (n = 116) across five local government areas (LGAs) in Lagos State, Nigeria. Western blots were used to simultaneously detect SARS-CoV-2 spike and nucleocapsid (N) antibodies (n = 250), and stimulation of peripheral blood mononuclear cells with N followed by an IFN-γ ELISA was used to examine T cell responses (n = 114). Results: Antibody data demonstrated high SARS-CoV-2 seroprevalence of 72·4% (97/134) in HCWs and 60·3% (70/116) in the general population. Antibodies directed to only SARS-CoV-2 N, suggesting pre-existing coronavirus immunity, were seen in 9·7% (13/134) of HCWs and 15·5% (18/116) of the general population. T cell responses against SARS-CoV-2 N (n = 114) were robust in detecting exposure to the virus, demonstrating 87·5% sensitivity and 92·9% specificity in a subset of control samples tested. T cell responses against SARS-CoV-2 N were also observed in 83.3% of individuals with N-only antibodies, further suggesting that prior non-SARS-CoV-2 coronavirus infection may provide cellular immunity to SARS-CoV-2. Conclusions: These results have important implications for understanding the paradoxically high SARS-CoV-2 infection with low mortality rate in Africa and supports the need to better understand the implications of SARS-CoV-2 cellular immunity.
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- 2023
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21. Prognosis analysis according to the predominant histological pattern in cases with lung adenocarcinoma undergoing complete resection
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Murat Kavas, Aycim Sen, Akın Ozturk, Abdurrahman Yilmaz, Onur Derdiyok, Sevinc Citak, Elcin Ersoz, Cansel Atinkaya Baytemir, and Irfan Yalcinkaya
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lung adenocarcinoma ,acinar-type adenocarcinoma ,solid type adenocarcinoma ,Medicine - Abstract
Lung adenocarcinoma accounts for over 40% of lung cancer cases. There is still uncertainty in terms of prognosis, particularly because of limited pathological information among the predominant sub-patterns of adenocarcinomas. In this study, we evaluated the prognostic relationship with the predominant histological patterns in adenocarcinoma cases that underwent complete resection in one year. We retrospectively evaluated 100 patients with lung adenocarcinoma, whose pathological stage was determined after complete resection. Six patients were excluded from the study because of missing data in their files. The mortality rates and tumor stages of the patients were analyzed according to their histopathological subtypes with the predominant pattern. Seventy-four (79%) of the cases were male and 20 (21%) were female. The predominant pattern was solid in 41 (43.6%) patients, acinar in 31 (33%) patients, papillary in 10 (10.6%) patients, lepidic in 9 (9.6%) patients and micropapillary in 3 (3.2%) patients. Lymph node involvement was N0 in 30 (73.2%) patients, N1 in 9 (22%) patients and N2 in 2 (4.9%) patients in the solid group; N0 in 22 (71%) patients, N1 in 3 (9.7%) patients, and N2 in 6 (19.4%) patients in the acinar group. In the solid group, 23 (56.1%) patients survived, and 18 (14.6%) patients died, whereas 21 (67.7%) patients survived, and 10 (32.2%) patients died in the acinar group. The mean follow-up period of the patients was 32 months. In the mean follow-up of all patients, 58 (61.7%) survived and 36 (38.3%) died. No significant difference was observed between the subtypes in terms of mortality (p>0.05). N2 involvement was higher in acinar adenocarcinomas compared with the solid pattern, and the advanced stage due to the T factor was observed more in the solid pattern. Acinar-type adenocarcinoma shows similar prognostic characteristics to those with the solid pattern. [Med-Science 2022; 11(2.000): 581-5]
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- 2022
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22. Fabrication of Electron Beam Melted Titanium Aluminide: The Effects of Machining Parameters and Heat Treatment on Surface Roughness and Hardness
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Murat Isik, Mehmet Yildiz, Ragip Orkun Secer, Ceren Sen, Guney Mert Bilgin, Akin Orhangul, Guray Akbulut, Hamidreza Javidrad, and Bahattin Koc
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titanium aluminide (TiAl) alloys ,additive manufacturing ,post-processing ,microstructure ,hardness ,machining ,Mining engineering. Metallurgy ,TN1-997 - Abstract
Titanium aluminide alloys have gained attention for their lightweight and high-performance properties, particularly in aerospace and automotive applications. Traditional manufacturing methods such as casting and forging have limitations on part size and complexity, but additive manufacturing (AM), specifically electron beam melting (EBM), has overcome these challenges. However, the surface quality of AM parts is not ideal for sensitive applications, so post-processing techniques such as machining are used to improve it. The combination of AM and machining is seen as a promising solution. However, research on optimizing machining parameters and their impact on surface quality characteristics is lacking. Limited studies exist on additively manufactured TiAl alloys, necessitating further investigation into surface roughness during EBM TiAl machining and its relationship to cutting speed. As-built and heat-treated TiAl samples undergo machining at different feed rates and surface speeds. Profilometer analysis reveals worsened surface roughness in both heat-treated and non-heat-treated specimens at certain machining conditions, with higher speeds exacerbating edge cracks and material pull-outs. The hardness of the machined surfaces remains consistent within the range of 32–33.1 HRC at condition 3C (45 SFM and 0.1 mm/tooth). As-built hardness remains unchanged with increasing spindle and cutting head speeds. Conversely, heat-treated condition 3C surfaces demonstrate greater hardness than condition 1A (15 SFM, and 0.04 mm/tooth), indicating increased hardness with varying feed and surface speeds. This suggests crack formation in the as-built condition is considered to be influenced by factors beyond hardness, such as deformation-related grain refinement/strain hardening, while hardness and the existence of the α2 phase play a more significant role in heat-treated surfaces.
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- 2023
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23. Effect of social marketing on the knowledge, attitude, and uptake of pap smear among women residing in an urban slum in Lagos, Nigeria
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Tope Olubodun, Mobolanle Rasheedat Balogun, Kofoworola Abimbola Odeyemi, Akin Osibogun, Oluwakemi Ololade Odukoya, Adekunbiola Aina Banjo, Sandra Esse Sonusi, Ayodeji Bamidele Olubodun, Oluwatoyin Olanrewaju Progress Ogundele, and Duro Clement Dolapo
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Social marketing ,Cervical cancer ,Cervical cancer screening ,Pap smear ,Knowledge ,Attitude ,Gynecology and obstetrics ,RG1-991 ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Introduction Nigeria has a low uptake of cervical cancer screening and is one of the five countries that represent over half of the global burden of deaths from cervical cancer. Social marketing principles can be used to design and implement interventions to increase uptake of cervical cancer screening. This study assessed the effect of a social marketing intervention on the knowledge, attitude, and uptake of pap smear among women residing in an urban slum in Lagos State, Nigeria. Materials and methods This was a quasi-experimental study. The intervention arm consisted of 140 women recruited from Ago-Egun Bariga community and the control arm consisted of 175 women recruited from Oto-Ilogbo extension community. Social marketing intervention was instituted in the intervention group. Data analysis was done using IBM SPSS Statistics version 20 and Stata version 16.0. Between groups comparisons and within groups comparisons were done using bivariate analysis with Chisquare, Students t test and Paired t test as appropriate. Results In both the intervention and control groups, the mean knowledge score of cervical cancer was low at baseline (0.0 ± 0.3 and 0.1 ± 0.9 respectively). In the intervention group, there was a significant increase in mean knowledge score to 15.1 ± 3.7, post-intervention (p
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- 2022
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24. Pattern and predictors of medication use among adults in southwestern Nigeria: A community‐based cross‐sectional study
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Waheed Adeola Adedeji, Magbagbeola David Dairo, Patrick Mboya Nguku, Akin Oyemakinde, and Fatai Adewale Fehintola
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adults ,community ,determinants ,drug use ,drugs utilization ,medication use ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Abstract Population‐based drug utilization studies are scanty in Nigeria. The aim was to determine the pattern and predictors of medication use among adults in the communities of Southwestern Nigeria. A cross‐sectional study was conducted among adults selected by multi‐stage sampling from Oyo State communities. The questionnaires, adapted from the WHO Students' Drug Use Questionnaire and previous studies, were pretested and interviewer administered. The respondents' socio‐demographic characteristics, the pattern of medication use, prescribers, and sources of drug acquisition were obtained. Binary logistic regression was used to determine the predictor of medications used. Of the 999 respondents, 501 resided in rural communities while 498 dwelled in urban areas. The mean (±SD) age of the respondents was 38 ± 15 years. The median (range)% prevalence of medication use were as follows: lifetime use, 58.2 (17.7–81.0); current use, 31.2 (8.9–65.9); and past use, 20.3 (9.2–28.9). Medications were mainly obtained from patent medicine stores, median (range%), 71 (65–80). The commonly used drugs were paracetamol, 626 (67.6); nonsteroidal anti‐inflammatory drugs, 174 (18.8); artemether/lumefantrine, 422 (68.2); ampicillin/cloxacillin, 220 (48.6); and chlorpheniramine, 59 (39.9). Factors predictive of current medication use, adjusted odd ratio (95% confidence interval) were as follows: antimalarial [male, 0.7 (0.5, 0.9)]; antibacterial [male, 0.6 (0.4–0.9)]; analgesics [married, 1.5 (1.1–2.2); presence of health facilities, 0.5 (0.3–0.7); and shorter distance to health facility, 1.5 (1.1–2.1)]. Antimalarials, antibacterial, and analgesics were commonly used and inappropriately obtained by adults in Southwestern Nigeria. Factors predictive of current medication use were gender, marital status, the presence of health facilities, and distance to health facilities. There is a need for more extensive countrywide medication use studies and enlightenment programs to ensure the appropriate use of medications.
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- 2023
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25. Willingness and motivations towards volunteering during the COVID-19 pandemic: A cross-sectional survey among final year medical students in Lagos, Nigeria
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Adebola Afolake Adejimi, MBBS, MPH, FWACP, Kehinde Sharafadeen Okunade, MBBS, FWACS, FMCOG, Oluwakemi Ololade Odukoya, MBBS, MPH, M.Sc., FMCPH, Alero Ann Roberts, B.Sc., MBBS, MPH, FMCPH, Babatunde Adeniran Odugbemi, MBBS, MPH, FWACP, and Akin Osibogun, MBBS, MPH, FMCPH, FWACP
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Medical students ,COVID-19 ,Volunteers ,Willingness ,Motivation ,Lagos Nigeria ,Public aspects of medicine ,RA1-1270 - Abstract
Introduction: Increasing manpower capacity to meet the demands in the healthcare system is important during health emergencies. Medical students have roles to play during a pandemic but their involvement in these duties should be voluntary. The objective of this study was to assess the willingness and motivations of final year medical students in Lagos, Nigeria towards volunteering during the COVID-19 pandemic. Methods: A descriptive cross-sectional study was conducted among medical students in their sixth (final) year of study at the two public Universities in Lagos, Nigeria using total population sampling technique. A web-based questionnaire was used for data collection and data were analysed using SPSS. Logistic regression analysis was used to predict the willingness to volunteer. Results: The mean age of the respondents was 23.4 years ± 2.6SD and 62.6% were female. About 65.9% of the medical students were willing to volunteer. Motivational factors which include self-rated good health status [OR: 2.1(95%CI: 1.16–3.6)], self-rated competence to work as a COVID-19 volunteer [OR: 6.5(95%CI: 3.61–11.54)] and availability of adequate protection and personal protective equipment [OR: 3.3(95%CI: 1.74–6.33)] significantly increased the odds of willingness to volunteer after controlling for other variables. Respondents' opinions on settings where medical students can serve as volunteers during the COVID-19 pandemic include case management (21.7%) and telemedicine (85.8%). Conclusion: Medical students are willing to volunteer during the COVID-19 pandemic. There is a need to prepare and motivate the final year medical students by developing their skills to improve their competence and by providing adequate protection for the willing students to function as volunteers.
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- 2022
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26. The effect of sarcopenia on erlotinib therapy in patients with metastatic lung adenocarcinoma
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Atakan Topcu, Akin Ozturk, Ismail Yurtsever, Mehmet Besiroglu, Ayse Irem Yasin, Haci Mehmet Turk, and Mesut Seker
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Lung cancer ,sarcopenia ,erlotinib ,adenocarcinoma ,prognosis ,Biology (General) ,QH301-705.5 - Abstract
Erlotinib, a tyrosine kinase inhibitor, has been shown to improve the survival of patients with epidermal growth factor receptor (EGFR)-mutated non-small cell lung cancer. Sarcopenia is a status with increasing importance in lung cancer, and it may predict a poor prognosis. We aimed to evaluate the impact of sarcopenia on erlotinib therapy and prognosis in patients with EGFR-mutated (exon 19 or 21 L858R) metastatic lung adenocarcinoma. Sarcopenia was defined as skeletal muscle index ≤39 cm2/m2 for women and ≤55 cm2/m2 for men. The patient characteristics, inflammation parameters, clinical and survival outcomes of the erlotinib therapy were examined according to sarcopenia status. We also analyzed the erlotinib treatment-related toxicity. Seventy-two patients were included in our retrospective study, and the mean age of the patients was 63.7 years. A total of 39 (54.2%) patients were diagnosed with sarcopenia. Patients with sarcopenia had a poor prognosis and had a shorter median progression-free survival (PFS) than patients without sarcopenia (10.5 months vs. 21.8 months, p=0.002). Sarcopenia (HR 2.08) and C-reactive protein > 6.5 mg/L (HR 2.57) were determined as independent poor prognostic factors for PFS of erlotinib therapy. Treatment-related toxicity occurred in 34.7% of patients treated with erlotinib, and sarcopenia did not significantly affect treatment-related toxicity. We also found that sarcopenia significantly affected the response to erlotinib. The expected survival outcomes may be low when erlotinib therapy is used in patients with sarcopenia and metastatic lung adenocarcinoma. This study showed that survival and clinical outcomes could be better predicted by detecting sarcopenia in patients with lung cancer using erlotinib.
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- 2022
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27. Sequelae of Hospitalization for Diabetic Foot Ulcers at LASUTH Ikeja Lagos: A Prospective Observational Study
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Olufunmilayo Olubusola Adeleye, Adetutu Oluwatosin Williams, Akin Olusola Dada, Ejiofor T. Ugwu, Anthonia Okeoghene Ogbera, and Olujimi Olanrewaju Sodipo
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diabetic foot ulcer ,case fatality ,clinical outcome ,hospitalization ,peripheral arterial disease ,Diseases of the endocrine glands. Clinical endocrinology ,RC648-665 - Abstract
AbstractDiabetic foot ulcers (DFUs) remain important sequelae of diabetes (DM) which cause debilitating effects on the sufferer. The evolution of some aspects of epidemiology and the current clinical impact of DFUs was examined.MethodsA single-center prospective observational study. Study subjects were consecutively recruited.ResultsTotal medical admissions during the study period were 2288, 350 were DM related, out of these 112 were admitted for DFU. 32% of total DM admissions were for DFU. The mean age of the study subjects is 58 ± 11.0 range is from 35 years to 87 years. Males were slightly predominant (51.8%). Most of them were actively employed (92%), and the majority were in the 55 to 64 years age category. Most of them had not been diabetic for longer than 8 years (61%). The mean duration of DM is 8.32±7.27 years. The mean duration of ulcer at presentation was 72.0±138.13 days. The majority of the patients (80.3%) presented with severe (grades 3 to 5) ulcers, Wagner grade four was the most predominant. Regarding clinical outcome, 24 (24.7%) had an amputation, 3 of which were minor. The factor that was associated with amputation was concomitant heart failure – OR 6.00 CI 0.589-61.07, 0.498-4.856. Death occurred in 16 (18.4%). The factors associated with mortality were severe anemia OR 2.00 CI 0.65 – 6.113, severe renal impairment requiring dialysis OR 3.93 CI 0.232-66.5, concomitant stroke OR 8.42 CI 0.71-99.6, and peripheral arterial disease- OR 18.33 CI 2.27 -147 p-value- 0.006.ConclusionThe hallmark of DFU in this report is late presentation, it accounted for a significant proportion of the total medical admissions, although the case fatality of DFU reduced from previous reports from the center, mortality, and amputation rates are still unacceptably high. Concomittant heart failure was a factor of amputation. Mortality was associated with severe anemia, renal impairment and peripheral arterial disease.
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- 2022
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28. Psychological impacts of COVID-19 pandemic in cancer patients on active treatment
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Sinan Koca, Esra Koca, Ilker N. Okten, Fatma FC. Orengül, Akın Oztürk, Melike Ozçelik, Abdilkerim Oyman, Ibrahim Çil, and Mahmut Gümüş
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Covid-19 ,Cancer ,Chemotherapy ,Psychological impact ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Introduction: Although cancer patients have a high risk of exposing COVID-19 and developing severe complications, they have to receive active treatment. We aimed to determine the psychological conditions of cancer patients and shed light on the establishment of early psychological intervention and intervention policies by making specific recommendations. Method: We consecutively evaluated 385 cancer patients under treatment. Post-traumatic stress disorder (PTSD) symptoms, depression, anxiety, stress, and associated sociodemographic/clinical characteristics were investigated. In addition, we applied depression-anxiety-stress-scale-21 (DASS-21) for the mental states of patients and Impact of Event-Scale-Revised (IES-R) for the psychological effects of Covid-19. Results: The mean age was 58 (18–88). 47.2% were psychologically distressful per DASS-21, and 39.3% were traumatic per IES-R scores. 71.9% stated the risk of getting COVID-19 was high since they had cancer, and 82% stated serious complications would develop if they had COVID-19 infection. Patients diagnosed for more than one year were more stressed, anxious, and depressive (p–value = 0.001,0.003,0.049, respectively). Singles were more stressed, depressed, and traumatized than couples (p-value = 0.001, 0.011, 0.001). In multivariate analysis, a significant correlation with being under psychiatric treatment before the pandemic was found for depression (OR: 3.743, 95 %CI: 1.790–7.827) anxiety (OR: 3.776–95 %CI: 1.945–7.332) and stress levels (OR: 4.129, 95 %CI: 1.728–9.866). Having relatives who died or received treatment for COVID-19(OR: 0.515,0.296–0.895) and being unmarried (OR: 2.445–95% CI: 1.260–4.747) predicts PTSD development. Conclusions: When the psychological effects of the COVID-19 pandemic are manifesting strongly, cancer patients' anxiety and exposure levels are high. It is of great importance that clinicians understand needs, recognize psychological distress, and direct them to relevant departments for supportive care.
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- 2022
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29. A qualitative analysis of the COVID-19 vaccination rollout in Lagos, Nigeria: Client and provider perspectives on the plan, the process and the progress.
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Oluchi Kanma-Okafor, Yetunde Odusolu, Akin Abayomi, Faisal Shuaib, Moji Adeyeye, Ibrahim Mustapha, Segun Ogboye, Dayo Lajide, Hussein Abdur-Razzaq, Ukamaka Okafor, Uchenna Elemuwa, and Akin Osibogun
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Public aspects of medicine ,RA1-1270 - Abstract
Mass vaccination has proven useful in the control of COVID-19, though vaccine rollout has met major challenges. The learning curve of this process has been valuable. This qualitative study aimed to assess the plan, the process and the progress of the COVID-19 vaccination rollout in Lagos, Nigeria. This study was conducted at vaccination centers in eight of the 20 Local Government Areas in Lagos State from May to July 2021 among healthcare administrators, health workers and vaccine recipients. Data were collected by conducting three key informant interviews, 24 in-depth interviews and eight focus group discussions to explore the vaccination experiences of participants and the challenges facing the vaccination plan and process. The interviews and discussions were recorded, transcribed verbatim and analyzed using the thematic approach. The four-phased plan for the vaccine rollout was clear to all the key informants because the vaccination process was preceded by training. The process was strengthened by the electronic registration system, though riddled by the frequently unstable electronic and internet data capturing. This was mitigated by a stopgap manual registration and recording of client details. Challenges in the logistics of maintaining supplies of the disposable materials required for the vaccination process were overcome by the creativity of the health professionals. Vaccine hesitancy, fueled by misinformation, myths and misconceptions about the vaccine and its side effects, played a huge role in the community response. The reported vaccine side effects were mild; fever, headaches, pain at the injection site, excessive eating and sleepiness. Though the COVID-19 vaccination process appeared to have largely made progress, the future of vaccination in Nigeria is predicated upon a bottom-up approach to programmatic planning, health education and local vaccine production. Collaborations such as public-private partnerships have the potential of boosting vaccine provision for Nigeria's large population to ensure equitable access to vaccines.
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- 2022
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30. Beyond the Landfill: A critical review of techniques for End-of-Life Polyvinyl chloride (PVC) valorization.
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Havaei M, Akin O, Locaspi A, John Varghese R, Minette F, Romers E, De Meester S, and Van Geem KM
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Polyvinyl chloride (PVC) is a polymer comprised of more than 50% chlorine that offers unmatched versatility at low expense. PVC is irreplaceable in several applications, such as construction materials, medical applications, and cables. This versatility and tunable properties come at the cost of complex formulations for the product and challenging end-of-life (EoL) options for PVC waste. Pure collected and sorted PVC is already recycled successfully to some extent, yet, when PVC ends up in a mixed plastic waste stream, it can be detrimental to the recycling process. PVC waste and its effects at various concentrations remain a focal point for both scholars and policymakers. In this review, the narrative begins at the naissance of PVC and continues to investigate the EoL valorization options when the products are inevitably discarded. Strategies for PVC waste recycling and the technical and legal challenges regarding each method are discussed, focusing on the European recycling market. An effective solution to handle EoL PVC requires a combination of policies and schemes for proper collection and sorting of specific waste streams and considering all available technologies to select the right tools. This review can support appropriate policies and the selection of suitable methods of recycling PVC waste., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
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- 2024
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31. Molecular Heterogeneity and Immune Infiltration Drive Clinical Outcomes in Upper Tract Urothelial Carcinoma.
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Kim K, Alam SM, Kuo F, Chen Z, Yip W, Katims AB, Chu C, Lenis AT, Hu W, Gokturk Ozcan G, Chen JF, Firouzi S, Elhanati Y, Clinton TN, Aulitzky A, Almassi N, Fujii Y, Tracey AT, Reisz PA, Budhu S, Vuong L, Eichholz J, Woo HJ, Nogueira L, Gao SP, Scherz A, Aggen DH, Rosenberg JE, Pietzak EJ, Seshan V, Greenbaum B, Becker A, Akin O, Iyer G, Al-Ahmadie H, Hakimi AA, Merghoub T, Solit DB, and Coleman JA
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Background and Objective: Molecular classification of upper tract urothelial carcinoma (UTUC) can provide insight into divergent clinical outcomes and provide a biological rationale for clinical decision-making. As such, we performed multi-omic analysis of UTUC tumors to identify molecular features associated with disease recurrence and response to immune checkpoint blockade (ICB)., Methods: Targeted DNA and whole transcriptome RNA sequencing was performed on 100 UTUC tumors collected from patients undergoing nephroureterectomy. Consensus non-negative matrix factorization was used to identify molecular clusters associated with clinical outcomes. Gene set enrichment and immune deconvolution analyses were performed. Weighted gene co-expression network analysis was employed for unsupervised identification of gene networks in each cluster., Key Findings and Limitations: Five molecular clusters with distinct clinical outcomes were identified. Favorable subtypes (C1 and C2) were characterized by a luminal-like signature and an immunologically depleted tumor microenvironment (TME). Subtype C3 was characterized by FGFR3 alterations and a higher tumor mutational burden, and included all tumors with microsatellite instability. Despite higher rates of recurrence and inferior survival, subtypes C4 and C5 harbored an immunologically rich TME favoring response to ICB. Limitations include extrapolation of molecular features of tumors from the primary site to determine response to systemic immunotherapy and the limited resolution of bulk sequencing to distinguish gene expression in the tumor, stroma, and immune compartments., Conclusions and Clinical Implications: RNA sequencing identified previously underappreciated UTUC molecular heterogeneity and suggests that UTUC patients at the highest risk of metastatic recurrence following surgery include those most likely to benefit from perioperative ICB., (Copyright © 2024. Published by Elsevier B.V.)
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- 2024
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32. Effectiveness of Exosome Treatment in Androgenetic Alopecia: Outcomes of a Prospective Study.
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Ersan M, Ozer E, Akin O, Tasli PN, and Sahin F
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- Humans, Male, Prospective Studies, Adult, Middle Aged, Treatment Outcome, Young Adult, Aged, Alopecia therapy, Exosomes, Patient Satisfaction statistics & numerical data
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Objective: Harnessing the regenerative capabilities of stem cell-derived exosomes holds great promise for developing novel hair growth therapies, offering hope for individuals experiencing hair loss or alopecia. This aimed to elucidate the effect of "foreskin-derived mesenchymal stromal cells derived exosome" injection into the scalp on hair density in patients with androgenetic alopecia and the contribution of this treatment on patient satisfaction., Method: This prospective study included 30 male patients, aged between 22 and 65, with hair type III-VI according to the Norwood-Hamilton scale. Characterization of the stem cell exosomes was performed with the nanoparticle tracking analysis (NTA), hair densities were calculated via digital imaging analysis, and patient satisfaction was questioned with a modified survey., Results: NTA results showed a characteristic distribution of peaks for exosomes 139.7 ± 2.3 nm in diameter. A statistically significant increase in hair density was observed in the 4th and 12th weeks after treatment (p < 0.05). Patient-reported satisfaction revealed a statistically significant difference in the answers given in the 12th week compared to the 4th week (p < 0.05). No side effects or complications were observed after exosome injection., Conclusion: Foreskin-derived mesenchymal stromal cells derived exosome injection increased hair density, with sustained patient satisfaction throughout the study. The exosome application resulted in no side effects., Level of Evidence Iv: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 ., Competing Interests: Declarations. Conflict of interest: The authors declare that they have no conflict of interest. Ethical Approval: All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008. Ethics committee approval has been granted from our institution with protocol number 1809, and informed consent has been obtained from all participants., (© 2024. The Author(s).)
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- 2024
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33. Radiodensities of Skeletal Muscle and Visceral Adipose Tissues Are Prognostic Factors in Clear-Cell Renal Cell Carcinoma.
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Bradshaw PT, Olsson LT, Sanchez A, Knezevic A, Akin O, Scott JM, Hakimi AA, Russo P, Caan BJ, Mourtzakis M, and Furberg H
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- Humans, Male, Middle Aged, Female, Prognosis, Aged, Tomography, X-Ray Computed methods, Nephrectomy methods, Body Composition, Carcinoma, Renal Cell pathology, Carcinoma, Renal Cell diagnostic imaging, Carcinoma, Renal Cell surgery, Carcinoma, Renal Cell mortality, Intra-Abdominal Fat diagnostic imaging, Intra-Abdominal Fat pathology, Muscle, Skeletal diagnostic imaging, Muscle, Skeletal pathology, Kidney Neoplasms pathology, Kidney Neoplasms diagnostic imaging, Kidney Neoplasms surgery, Kidney Neoplasms mortality
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Background: Body composition may be related to survival in patients with clear-cell renal cell carcinoma (ccRCC), but studies have not simultaneously considered adipose and muscle tissue quantity and radiodensity., Methods: We analyzed data from 1,022 patients with ccRCC who underwent nephrectomy between 2000 and 2020 at Memorial Sloan Kettering Cancer Center. Skeletal muscle, visceral adipose tissue, and subcutaneous adipose tissue indexes (cm2/m2) and radiodensities [Hounsfield units (HU)] were assessed from noncontrast presurgical CT scans; clinical and demographic characteristics were available from the time of surgery. HRs and confidence intervals were estimated for overall (OS) and disease-free survival (DFS) through March 2023 in multivariable models that simultaneously accounted for all body composition measures., Results: The median age of the patients was 58 years, 69% were male, and 90% were White. There were 169 OS events over 8,392 person-years and 253 DFS events over 7,753 person-years of follow-up. In adjusted analyses, poor OS was associated with lower skeletal muscle radiodensity [-10 HU, HR (95% confidence interval), 1.37 (1.05-1.77)] and greater visceral adipose tissue radiodensity [+10 HU, 1.66 (1.06-2.59)], with similar findings for DFS. Poor survival was also associated with greater visceral adipose tissue index [+40 cm2/m2, OS: 1.32 (0.97, 1.79); DFS: 1.33 (1.04, 1.71)]. Associations with skeletal muscle radiodensity were limited to patients with stage 1/2 disease., Conclusions: Radiodensities of skeletal muscle and visceral adipose tissues may be novel presurgical prognostic factors for patients with ccRCC., Impact: The findings underscore the importance of evaluating the full range of body composition features simultaneously in multivariable models., (©2024 American Association for Cancer Research.)
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- 2024
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34. Genotype-phenotype characteristics of 57 patients with Prader-Willi syndrome: a single-center experience from Turkey.
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Torun D and Akin O
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- Humans, Male, Female, Child, Preschool, Infant, Turkey epidemiology, Child, Genotype, Uniparental Disomy genetics, Adolescent, Chromosomes, Human, Pair 15 genetics, Polymorphism, Single Nucleotide, DNA Methylation, Infant, Newborn, Prader-Willi Syndrome genetics, Prader-Willi Syndrome diagnosis, Genetic Association Studies, Phenotype
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Objectives: Prader-Willi syndrome (PWS) is a rare and complex genetic disorder caused by the loss of expression of the paternal copy of the imprinted genes on chromosome 15q11-q13. A variety of findings have been reported on the phenotypic differences between the genetic subtypes of PWS. This article compares the clinical findings of 57 PWS patients by genetic subtype and explores possible associations in this context., Methods: Methylation‑specific multiplex ligation-dependent probe amplification and single nucleotide polymorphism microarrays were used to diagnose deletion and uniparental disomy (UPD). For phenotype-genotype correlation, clinical data were collected and genetic subgroups were compared statistically, and P < 0.05 was considered to indicate statistical significance., Results: These 57 patients consisted of 15 type I deletions, 20 type II deletions, six atypic deletions, 11 heterodisomy UPD, four isodisomy UPD, and one translocation-type PWS. All patients had hypotonia, poor neonatal sucking, and feeding difficulties during infancy. Other PWS-related clinical findings, such as speech articulation problems (85.9%), sleep apnea (77.2%), normal birth length (71.9%), small hands/feet (71.9%), childhood polyphagia (57.9%), clinodactyly (56.1%), thick viscous saliva (54.4%), and behavioral problems (50.9%) were observed at varying rates with no statistical difference between genetic subtypes in general., Conclusion: This study highlights the phenotype-genotype associations on PWS from a cohort of Turkish pediatric patients as a single-center experience., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)
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- 2024
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35. Depth of Hydrogel Spacer Rectal Wall Infiltration Was Not Associated With Rectal Toxicity: Results From a Randomized Prospective Trial.
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Grossman CE, Akin O, Damato AL, Nunez DA, and Zelefsky MJ
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Purpose: Rectal spacers have gained popularity as a dose-sparing material for prostate cancer radiation therapy (RT). However, the procedure can be associated with unintended rectal wall infiltration (RWI) of the spacer gel. We therefore classified RWI severity as a function of depth and explored its association with rectal toxicity using a data set from prostate cancer patients treated with RT on a prospective randomized clinical trial (RCT)., Methods and Materials: Postimplant T2-weighted magnetic resonance images of 149 subjects randomized to the hydrogel spacer arm of a published multicenter RCT were assessed for the presence and depth of RWI. All implants were assigned a score of 0 (no rectal wall signal changes), 1 (rectal wall edema/signal change), 2 (partial RWI), or 3 (full-thickness RWI); RWI was defined as a score of 2 or 3. Correlations were made between RWI score and physician-reported procedure, acute, and late rectal toxicity., Results: Although 62.4% of implants had no rectal wall signal abnormalities, 24% [scores of 2 (20.1%) and 3 (4.0%)] of procedures exhibited radiographic evidence of RWI. Full-thickness RWI was associated with both a longer length (22.8 ± 7.0 mm, P = .008) and a larger circumferential percentage (35.8% ± 9.2%, P = .045) of rectal infiltration. Although 7 subjects (5%) experienced transient procedure-related rectal toxicities (most commonly perineal/rectal pain), only one had RWI (score of 2, National Cancer Institute's Common Terminology Criteria for Adverse Events grade 1). Consequently, no correlation was observed between procedural rectal toxicity and the presence/extent of RWI ( P = .64). Similarly, no difference in acute ( P = .64) or late ( P = .85) rectal toxicity incidence or grade was detected between RWI categories; none of the 6 men with a RWI score of 3 developed late rectal toxicity by 15 months., Conclusions: Based on data from an RCT, RWI did not contribute to increased rectal toxicity prior and up to 15 months after conventional prostate cancer RT., (© 2024 The Authors.)
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- 2024
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36. ACR Appropriateness Criteria® Hydronephrosis on Prior Imaging-Unknown Cause.
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Whitworth P 3rd, Courtney KG, Oto A, Allen BC, Akin O, Barker SJ, Bartel TB, DuBeau C, Gerena M, Kraft KH, Lew SQ, Mankowski Gettle L, Turkbey B, Uyeda JW, and Nikolaidis P
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- Humans, United States, Female, Pregnancy, Diagnostic Imaging methods, Contrast Media, Hydronephrosis diagnostic imaging, Societies, Medical, Evidence-Based Medicine
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Initial imaging evaluation of hydronephrosis of unknown etiology is a complex subject and is dependent on clinical context. In asymptomatic patients, it is often best conducted via CT urography (CTU) without and with contrast, MR urography (MRU) without and with contrast, or scintigraphic evaluation with mercaptoacetyltriglycine (MAG3) imaging. For symptomatic patients, CTU without and with contrast, MRU without and with contrast, MAG3 scintigraphy, or ultrasound of the kidneys and bladder with Doppler imaging are all viable initial imaging studies. In asymptomatic pregnant patients, nonionizing imaging with US of the kidneys and bladder with Doppler imaging is preferred. Similarly, in symptomatic pregnant patients, US of the kidneys and bladder with Doppler imaging or MRU without contrast is the imaging study of choice, as both ionizing radiation and gadolinium contrast are avoided in pregnancy. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision process support the systematic analysis of the medical literature from peer reviewed journals. Established methodology principles such as Grading of Recommendations Assessment, Development, and Evaluation or GRADE are adapted to evaluate the evidence. The RAND/UCLA Appropriateness Method User Manual provides the methodology to determine the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where peer reviewed literature is lacking or equivocal, experts may be the primary evidentiary source available to formulate a recommendation., (Copyright © 2024 American College of Radiology. Published by Elsevier Inc. All rights reserved.)
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- 2024
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37. Efficiency of ozonation and sulfate radical - AOP for removal of pharmaceuticals, corrosion inhibitors, x-ray contrast media and perfluorinated compounds from reverse osmosis concentrates.
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Mutke XAM, Swiderski P, Drees F, Akin O, Lutze HV, and Schmidt TC
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This study investigated the elimination of pharmaceuticals, corrosion inhibitors, x-ray contrast media and perfluorinated compounds from reverse osmosis concentrates during ozonation and UV/persulfate processes. Second-order rate constants for the reactions of candesartan, irbesartan, methyl-benzotriazole, and chloro‑benzotriazole with sulfate radical (SO
4 ) were determined for the first time. Experiments were conducted in buffered pure water, in buffered water added with the matrix substituents chloride, carbonate, NOM, and reverse osmosis concentrate with spiked micropollutants (MP). UV/persulfate eliminated all MP to a higher extent than ozonation in RO concentrates due to the higher yield of oxidative species and photolytic degradation. Compounds with electron-rich moieties such as carbamazepine, diclofenac, metoprolol, and sulfamethoxazole were completely eliminated with small ozone doses (< 0.5 mg O·- ) were determined for the first time. Experiments were conducted in buffered pure water, in buffered water added with the matrix substituents chloride, carbonate, NOM, and reverse osmosis concentrate with spiked micropollutants (MP). UV/persulfate eliminated all MP to a higher extent than ozonation in RO concentrates due to the higher yield of oxidative species and photolytic degradation. Compounds with electron-rich moieties such as carbamazepine, diclofenac, metoprolol, and sulfamethoxazole were completely eliminated with small ozone doses (< 0.5 mg O3 / mg DOC) and with a small fluence (< 5000 J m-2 ) in UV/persulfate processes. Photosensitive compounds with high reactivity towards hydroxyl radicals (· OH) and SO4 ·- like the x-ray contrast media Iopamidol, Iohexol, and Amidotrizoic acid were successfully eliminated with a reasonable fluence in UV/persulfate, whereas these compounds persist in ozonation at common ozone dosages. However, much higher fluences and ozone dosages were required for the least reactive compounds like the class of benzotriazoles. Comparing the application of both oxidative processes to the RO concentrate, ozonation has the disadvantage of forming bromate. The energy input of both processes strongly depends on the target compounds to be eliminated. For the elimination of compounds such as sulfamethoxazole, ozonation is a feasible technique, whereas UV/persulfate is better suited for the elimination of recalcitrant compounds such as x-ray contrast media. In general, oxidative process treatment of RO concentrate could be applied to partly abate micropollutants before discharge., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier Ltd.)- Published
- 2024
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38. Skeletal muscle and visceral adipose radiodensities are pre-surgical, non-invasive markers of aggressive kidney cancer.
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Furberg H, Bradshaw PT, Knezevic A, Olsson L, Petruzella S, Stein E, Paris M, Scott J, Akin O, Hakimi AA, Russo P, Sanchez A, Caan B, and Mourtzakis M
- Subjects
- Humans, Male, Female, Muscle, Skeletal diagnostic imaging, Muscle, Skeletal pathology, Lipids, Carcinoma, Renal Cell pathology, Kidney Neoplasms pathology, Sarcopenia pathology
- Abstract
Introduction: Most studies on body composition in kidney cancer have been conducted among patients with metastatic disease. Given that aggressive tumours can adversely impact body composition and even non-metastatic tumours can be aggressive, we evaluated associations between pre-surgical body composition features and tumour pathological features in patients with non-metastatic clear cell renal cell cancer (ccRCC)., Methods: The Resolve Cohort consists of 1239 patients with non-metastatic ccRCC who underwent nephrectomy at Memorial Sloan Kettering Cancer Center between 2000 and 2020. The cross-sectional areas and radiodensities of skeletal muscle, visceral adipose, and subcutaneous adipose tissues were determined from pre-surgical computed tomography (CT) scans at the third lumbar vertebrae using Automatica software. Pearson's correlation coefficients describe inter-relationships among BMI and body composition variables, while odds ratios (OR) and 95% confidence intervals (CI) estimate associations between continuous body composition features (per 1-standard deviation) and advanced stage (Stage III vs. Stages I-II) and high Fuhrman grade (Grades 3-4 vs. 1-2) from multivariable logistic regression models that considered the potential impact of biological sex, contrast enhanced CTs, and early age at onset of ccRCC., Results: The cohort was predominantly male (69%), white (89%), and had a median age of 58. The proportion of patients presenting with advanced stage and high-grade disease were 31% and 51%, respectively. In models that adjusted for demographics and all body composition variables simultaneously, decreasing skeletal muscle radiodensity (i.e., more fat infiltration) but increasing visceral adipose tissue radiodensity (i.e., more lipid depletion) were associated with advanced tumour features. Per 8.4 HU decrease in skeletal muscle radiodensity, the odds of presenting with advanced stage was 1.61 (95% CI: 1.34-1.93). Per 7.22 HU increase in visceral adipose tissue radiodensity, the odds of presenting with advanced stage was 1.45 (95% CI: 1.22-1.74). Skeletal muscle index (i.e., sarcopenia) was not associated with either tumour feature. Similar associations were observed for Fuhrman grade, a more direct marker of tumour aggressiveness. Associations did not differ by sex, contrast use, or age at onset of ccRCC., Conclusions: Lipid infiltrated skeletal muscle, but lipid depleted visceral adipose tissue were independently associated with advanced tumour features in non-metastatic ccRCC. Findings highlight the importance of evaluating the full range of body composition features simultaneously in multivariable models. Interpreting pre-surgical CTs for body composition for patients may be a novel and non-invasive way to identify patients with aggressive renal tumours, which is clinically relevant as renal biopsies are not routinely performed., (© 2024 The Authors. Journal of Cachexia, Sarcopenia and Muscle published by Wiley Periodicals LLC.)
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- 2024
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39. Human prostate MRI at ultrahigh-performance gradient: A feasibility study.
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Zhu A, Tarasek M, Hua Y, Fiveland E, Maier SE, Mazaheri Y, Fung M, Westin CF, Yeo DTB, Szczepankiewicz F, Tempany C, Akin O, and Foo TKF
- Subjects
- Male, Humans, Middle Aged, Aged, Prostate diagnostic imaging, Feasibility Studies, Diffusion Magnetic Resonance Imaging methods, Echo-Planar Imaging methods, Reproducibility of Results, Magnetic Resonance Imaging, Prostatic Neoplasms diagnostic imaging
- Abstract
Purpose: To demonstrate the technical feasibility and the value of ultrahigh-performance gradient in imaging the prostate in a 3T MRI system., Methods: In this local institutional review board-approved study, prostate MRI was performed on 4 healthy men. Each subject was scanned in a prototype 3T MRI system with a 42-cm inner-diameter gradient coil that achieves a maximum gradient amplitude of 200 mT/m and slew rate of 500 T/m/s. PI-RADS V2.1-compliant axial T
2 -weighted anatomical imaging and single-shot echo planar DWI at standard gradient of 70 mT/m and 150 T/m/s were obtained, followed by DWI at maximum performance (i.e., 200 mT/m and 500 T/m/s). In comparison to state-of-the-art clinical whole-body MRI systems, the high slew rate improved echo spacing from 1020 to 596 μs and, together with a high gradient amplitude for diffusion encoding, TE was reduced from 55 to 36 ms., Results: In all 4 subjects (waist circumference = 81-91 cm, age = 45-65 years), no peripheral nerve stimulation sensation was reported during DWI. Reduced image distortion in the posterior peripheral zone prostate gland and higher signal intensity, such as in the surrounding muscle of high-gradient DWI, were noted., Conclusion: Human prostate MRI at simultaneously high gradient amplitude of 200 mT/m and slew rate of 500 T/m/s is feasible, demonstrating that improved gradient performance can address image distortion and T2 decay-induced SNR issues for in vivo prostate imaging., (© 2023 International Society for Magnetic Resonance in Medicine.)- Published
- 2024
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40. EVALUATION OF OXIDATIVE STRESS MARKERS IN GIRLS WITH PREMATURE THELARCHE AND PRECOCIOUS PUBERTY.
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Odabasi Gunes S, Akin O, Durmaz N, Erel O, and Yavuz ST
- Abstract
Context: Oxidative products take part in various physiological processes and overproduction of oxidative products is involved in the etiology of many diseases., Objectives: We aimed to evaluate thiol-disulfide homeostasis (TDH); one of the oxidative stress parameters, in girls with premature thelarche (PT) and precocious puberty (PP)., Design: This case-control study was conducted between January 2022 and July 2022., Subjects and Methods: TDH parameters, involving native thiol (NT), disulfide, and total thiol (TT), were evaluated in 39 girls with PT, 41 girls with PP and 46 healthy prepubertal girls. The correlations of luteinizing hormone (LH), follicle-stimulating hormone (FSH), estradiol (E2) levels with the TDH parameters were determined and ROC curve analysis was performed., Results: NT, TT and NT/TT ratio were higher in the PT and PP groups compared to the control group (p<0.01). Disulfide/NT ratio and disulfide/TT ratio were lower in the PT and PP groups compared to the control group (p<0.05). All the TDH values did not statistically differ between the PP and PT group (p>0.05). There was a positive correlation between LH level, FSH level, and NT level, TT level, NT/TT ratio. The best parameter to discriminate PT or PT and control groups were NT and TT (p<0.01)., Conclusion: TDH is altered in girls with PT and PP. NT and TT levels can be useful to discriminate prepubertal girls with lipomastia and girls with PP and PT in clinical practice. Further studies on larger cohorts of patients are required to clarify our results., Competing Interests: The authors declare that they have no conflict of interest., (©2024 Acta Endocrinologica (Buc).)
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- 2024
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41. Multiparametric MRI in Era of Artificial Intelligence for Bladder Cancer Therapies.
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Akin O, Lema-Dopico A, Paudyal R, Konar AS, Chenevert TL, Malyarenko D, Hadjiiski L, Al-Ahmadie H, Goh AC, Bochner B, Rosenberg J, Schwartz LH, and Shukla-Dave A
- Abstract
This review focuses on the principles, applications, and performance of mpMRI for bladder imaging. Quantitative imaging biomarkers (QIBs) derived from mpMRI are increasingly used in oncological applications, including tumor staging, prognosis, and assessment of treatment response. To standardize mpMRI acquisition and interpretation, an expert panel developed the Vesical Imaging-Reporting and Data System (VI-RADS). Many studies confirm the standardization and high degree of inter-reader agreement to discriminate muscle invasiveness in bladder cancer, supporting VI-RADS implementation in routine clinical practice. The standard MRI sequences for VI-RADS scoring are anatomical imaging, including T
2 w images, and physiological imaging with diffusion-weighted MRI (DW-MRI) and dynamic contrast-enhanced MRI (DCE-MRI). Physiological QIBs derived from analysis of DW- and DCE-MRI data and radiomic image features extracted from mpMRI images play an important role in bladder cancer. The current development of AI tools for analyzing mpMRI data and their potential impact on bladder imaging are surveyed. AI architectures are often implemented based on convolutional neural networks (CNNs), focusing on narrow/specific tasks. The application of AI can substantially impact bladder imaging clinical workflows; for example, manual tumor segmentation, which demands high time commitment and has inter-reader variability, can be replaced by an autosegmentation tool. The use of mpMRI and AI is projected to drive the field toward the personalized management of bladder cancer patients.- Published
- 2023
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42. A Quantitative Multiparametric MRI Analysis Platform for Estimation of Robust Imaging Biomarkers in Clinical Oncology.
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LoCastro E, Paudyal R, Konar AS, LaViolette PS, Akin O, Hatzoglou V, Goh AC, Bochner BH, Rosenberg J, Wong RJ, Lee NY, Schwartz LH, and Shukla-Dave A
- Subjects
- Male, Humans, Contrast Media, Medical Oncology, Biomarkers, Multiparametric Magnetic Resonance Imaging, Prostatic Neoplasms diagnostic imaging, Prostatic Neoplasms pathology
- Abstract
There is a need to develop user-friendly imaging tools estimating robust quantitative biomarkers (QIBs) from multiparametric (mp)MRI for clinical applications in oncology. Quantitative metrics derived from (mp)MRI can monitor and predict early responses to treatment, often prior to anatomical changes. We have developed a vendor-agnostic, flexible, and user-friendly MATLAB-based toolkit, MRI-Quantitative Analysis and Multiparametric Evaluation Routines ("MRI-QAMPER", current release v3.0), for the estimation of quantitative metrics from dynamic contrast-enhanced (DCE) and multi-b value diffusion-weighted (DW) MR and MR relaxometry. MRI-QAMPER's functionality includes generating numerical parametric maps from these methods reflecting tumor permeability, cellularity, and tissue morphology. MRI-QAMPER routines were validated using digital reference objects (DROs) for DCE and DW MRI, serving as initial approval stages in the National Cancer Institute Quantitative Imaging Network (NCI/QIN) software benchmark. MRI-QAMPER has participated in DCE and DW MRI Collaborative Challenge Projects (CCPs), which are key technical stages in the NCI/QIN benchmark. In a DCE CCP, QAMPER presented the best repeatability coefficient (RC = 0.56) across test-retest brain metastasis data, out of ten participating DCE software packages. In a DW CCP, QAMPER ranked among the top five (out of fourteen) tools with the highest area under the curve (AUC) for prostate cancer detection. This platform can seamlessly process mpMRI data from brain, head and neck, thyroid, prostate, pancreas, and bladder cancer. MRI-QAMPER prospectively analyzes dose de-escalation trial data for oropharyngeal cancer, which has earned it advanced NCI/QIN approval for expanded usage and applications in wider clinical trials.
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- 2023
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43. ACR Appropriateness Criteria® Post-Treatment Follow-up of Prostate Cancer: 2022 Update.
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Turkbey B, Oto A, Allen BC, Akin O, Alexander LF, Ari M, Froemming AT, Fulgham PF, Gettle LM, Maranchie JK, Rosenthal SA, Schieda N, Schuster DM, Venkatesan AM, and Lockhart ME
- Subjects
- Male, Humans, United States, Androgen Antagonists, Follow-Up Studies, Diagnostic Imaging methods, Societies, Medical, Prostatic Neoplasms diagnostic imaging, Prostatic Neoplasms therapy, Prostatic Neoplasms pathology
- Abstract
Prostate cancer has a wide spectrum ranging between low-grade localized disease and castrate-resistant metastatic disease. Although whole gland and systematic therapies result in cure in the majority of patients, recurrent and metastatic prostate cancer can still occur. Imaging approaches including anatomic, functional, and molecular modalities are continuously expanding. Currently, recurrent and metastatic prostate cancer is grouped in three major categories: 1) Clinical concern for residual or recurrent disease after radical prostatectomy, 2) Clinical concern for residual or recurrent disease after nonsurgical local and pelvic treatments, and 3) Metastatic prostate cancer treated by systemic therapy (androgen deprivation therapy, chemotherapy, immunotherapy). This document is a review of the current literature regarding imaging in these settings and the resulting recommendations for imaging. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment., (Copyright © 2023 American College of Radiology. Published by Elsevier Inc. All rights reserved.)
- Published
- 2023
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44. ACR Appropriateness Criteria® Pretreatment Detection, Surveillance, and Staging of Prostate Cancer: 2022 Update.
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Akin O, Woo S, Oto A, Allen BC, Avery R, Barker SJ, Gerena M, Halpern DJ, Gettle LM, Rosenthal SA, Taneja SS, Turkbey B, Whitworth P 3rd, and Nikolaidis P
- Subjects
- Male, Humans, United States, Neoplasm Staging, Magnetic Resonance Imaging, Ultrasonography, Societies, Medical, Positron Emission Tomography Computed Tomography, Prostatic Neoplasms pathology
- Abstract
Prostate cancer is second leading cause of death from malignancy after lung cancer in American men. The primary goal during pretreatment evaluation of prostate cancer is disease detection, localization, establishing disease extent (both local and distant), and evaluating aggressiveness, which are the driving factors of patient outcomes such as recurrence and survival. Prostate cancer is typically diagnosed after the recognizing elevated serum prostate-specific antigen level or abnormal digital rectal examination. Tissue diagnosis is obtained by transrectal ultrasound-guided biopsy or MRI-targeted biopsy, commonly with multiparametric MRI without or with intravenous contrast, which has recently been established as standard of care for detecting, localizing, and assessing local extent of prostate cancer. Although bone scintigraphy and CT are still typically used to detect bone and nodal metastases in patients with intermediate- or high-risk prostate cancer, novel advanced imaging modalities including prostatespecific membrane antigen PET/CT and whole-body MRI are being more frequently utilized for this purpose with improved detection rates. The ACR Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment., (Copyright © 2023 American College of Radiology. Published by Elsevier Inc. All rights reserved.)
- Published
- 2023
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45. Artificial Intelligence in CT and MR Imaging for Oncological Applications.
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Paudyal R, Shah AD, Akin O, Do RKG, Konar AS, Hatzoglou V, Mahmood U, Lee N, Wong RJ, Banerjee S, Shin J, Veeraraghavan H, and Shukla-Dave A
- Abstract
Cancer care increasingly relies on imaging for patient management. The two most common cross-sectional imaging modalities in oncology are computed tomography (CT) and magnetic resonance imaging (MRI), which provide high-resolution anatomic and physiological imaging. Herewith is a summary of recent applications of rapidly advancing artificial intelligence (AI) in CT and MRI oncological imaging that addresses the benefits and challenges of the resultant opportunities with examples. Major challenges remain, such as how best to integrate AI developments into clinical radiology practice, the vigorous assessment of quantitative CT and MR imaging data accuracy, and reliability for clinical utility and research integrity in oncology. Such challenges necessitate an evaluation of the robustness of imaging biomarkers to be included in AI developments, a culture of data sharing, and the cooperation of knowledgeable academics with vendor scientists and companies operating in radiology and oncology fields. Herein, we will illustrate a few challenges and solutions of these efforts using novel methods for synthesizing different contrast modality images, auto-segmentation, and image reconstruction with examples from lung CT as well as abdome, pelvis, and head and neck MRI. The imaging community must embrace the need for quantitative CT and MRI metrics beyond lesion size measurement. AI methods for the extraction and longitudinal tracking of imaging metrics from registered lesions and understanding the tumor environment will be invaluable for interpreting disease status and treatment efficacy. This is an exciting time to work together to move the imaging field forward with narrow AI-specific tasks. New AI developments using CT and MRI datasets will be used to improve the personalized management of cancer patients.
- Published
- 2023
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46. AI-Driven Robust Kidney and Renal Mass Segmentation and Classification on 3D CT Images.
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Liu J, Yildirim O, Akin O, and Tian Y
- Abstract
Early intervention in kidney cancer helps to improve survival rates. Abdominal computed tomography (CT) is often used to diagnose renal masses. In clinical practice, the manual segmentation and quantification of organs and tumors are expensive and time-consuming. Artificial intelligence (AI) has shown a significant advantage in assisting cancer diagnosis. To reduce the workload of manual segmentation and avoid unnecessary biopsies or surgeries, in this paper, we propose a novel end-to-end AI-driven automatic kidney and renal mass diagnosis framework to identify the abnormal areas of the kidney and diagnose the histological subtypes of renal cell carcinoma (RCC). The proposed framework first segments the kidney and renal mass regions by a 3D deep learning architecture (Res-UNet), followed by a dual-path classification network utilizing local and global features for the subtype prediction of the most common RCCs: clear cell, chromophobe, oncocytoma, papillary, and other RCC subtypes. To improve the robustness of the proposed framework on the dataset collected from various institutions, a weakly supervised learning schema is proposed to leverage the domain gap between various vendors via very few CT slice annotations. Our proposed diagnosis system can accurately segment the kidney and renal mass regions and predict tumor subtypes, outperforming existing methods on the KiTs19 dataset. Furthermore, cross-dataset validation results demonstrate the robustness of datasets collected from different institutions trained via the weakly supervised learning schema.
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- 2023
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47. Real-time detection of acromegaly from facial images with artificial intelligence.
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Kizilgul M, Karakis R, Dogan N, Bostan H, Yapici MM, Gul U, Ucan B, Duman E, Duger H, Cakal E, and Akin O
- Subjects
- Female, Male, Humans, Cross-Sectional Studies, Neural Networks, Computer, Machine Learning, Artificial Intelligence, Acromegaly diagnostic imaging
- Abstract
Objective: Despite improvements in diagnostic methods, acromegaly is still a late-diagnosed disease. In this study, it was aimed to automatically recognize acromegaly disease from facial images by using deep learning methods and to facilitate the detection of the disease., Design: Cross-sectional, single-centre study., Methods: The study included 77 acromegaly (52.56 ± 11.74, 34 males/43 females) patients and 71 healthy controls (48.47 ± 8.91, 39 males/32 females), considering gender and age compatibility. At the time of the photography, 56/77 (73%) of the acromegaly patients were in remission. Normalized images were obtained by scaling, aligning, and cropping video frames. Three architectures named ResNet50, DenseNet121, and InceptionV3 were used for the transfer learning-based convolutional neural network (CNN) model developed to classify face images as "Healthy" or "Acromegaly". Additionally, we trained and integrated these CNN machine learning methods to create an Ensemble Method (EM) for facial detection of acromegaly., Results: The positive predictive values obtained for acromegaly with the ResNet50, DenseNet121, InceptionV3, and EM were calculated as 0.958, 0.965, 0.962, and 0.997, respectively. The average sensitivity, specificity, precision, and correlation coefficient values calculated for each of the ResNet50, DenseNet121, and InceptionV3 models are quite close. On the other hand, EM outperformed these three CNN architectures and provided the best overall performance in terms of sensitivity, specificity, accuracy, and precision as 0.997, 0.997, 0.997, and 0.998, respectively., Conclusions: The present study provided evidence that the proposed AcroEnsemble Model might detect acromegaly from facial images with high performance. This highlights that artificial intelligence programs are promising methods for detecting acromegaly in the future., Competing Interests: Conflicts of interest: None declared., (© The Author(s) 2023. Published by Oxford University Press on behalf of (ESE) European Society of Endocrinology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
- Published
- 2023
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48. Evaluation of the nutritional status of children with type 1 diabetes and their healthy siblings.
- Author
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Arslan M, Ünsal EN, Durmaz N, Akin O, Güneş SO, and Balamtekin N
- Subjects
- Child, Humans, Male, Female, Adolescent, Child, Preschool, Overweight, Siblings, Obesity, Body Mass Index, Nutritional Status, Diabetes Mellitus, Type 1 epidemiology
- Abstract
Background: Although there are studies evaluating the psychological adjustment of healthy children when their siblings have type 1 diabetes mellitus (T1DM), no study evaluating their nutritional status exists. Thus, this study aimed to determine the nutritional status of children with T1DM and their healthy siblings., Material and Methods: Data from a control group, healthy siblings, and patients who were followed and treated for T1D in the Paediatric Gastroenterology and Paediatric Endocrinology outpatient clinics of the Health Sciences University Gülhane Medical Faculty between November 2019 and November 2020 were analysed and compared. The groups were compared in terms of nutritional characteristics, daily macro and micronutrient intakes and classified according to their body mass index (BMI) Z-scores., Results: The study population consisted of 29 children with T1DM (51.7% female, 48.3% male; age: 11.00 ±3.66 years), 36 healthy siblings of children with T1D (50% female, 50% male; age: 9.61 ±4.84 years), and a control group of 58 healthy children (51.7% female, 48.3% male; age: 10.68 ±3.01years).The BMI Z-score of 28.6%of healthy siblings and 25% of children with T1D was > 1 SD or overweight. All of the control group children were of normal weight. None of the children were obese; however, the overweight rate was significantly higher in the healthy siblings and diabetes groups compared to the control group (p = 0.012). Daily energy intake (%) was significantly higher in the control group than in the healthy siblings (p < 0.001)., Conclusions: A quarter of the children with T1D over five years of age were overweight. In addition, healthy siblings were found to have higher BMI Z-scores than controls. This is the first study to evaluate the nutritional status of siblings of patients with T1D and will hopefully lead to more comprehensive studies that will also assess their daily exercise and physical activity.
- Published
- 2023
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49. Robust and accurate pulmonary nodule detection with self-supervised feature learning on domain adaptation.
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Liu J, Cao L, Akin O, and Tian Y
- Abstract
Medical imaging data annotation is expensive and time-consuming. Supervised deep learning approaches may encounter overfitting if trained with limited medical data, and further affect the robustness of computer-aided diagnosis (CAD) on CT scans collected by various scanner vendors. Additionally, the high false-positive rate in automatic lung nodule detection methods prevents their applications in daily clinical routine diagnosis. To tackle these issues, we first introduce a novel self-learning schema to train a pre-trained model by learning rich feature representatives from large-scale unlabeled data without extra annotation, which guarantees a consistent detection performance over novel datasets. Then, a 3D feature pyramid network ( 3DFPN ) is proposed for high-sensitivity nodule detection by extracting multi-scale features, where the weights of the backbone network are initialized by the pre-trained model and then fine-tuned in a supervised manner. Further, a High Sensitivity and Specificity ( HS 2 ) network is proposed to reduce false positives by tracking the appearance changes among continuous CT slices on Location History Images (LHI) for the detected nodule candidates. The proposed method's performance and robustness are evaluated on several publicly available datasets, including LUNA16, SPIE-AAPM, LungTIME, and HMS. Our proposed detector achieves the state-of-the-art result of 90.6 % sensitivity at 1 / 8 false positive per scan on the LUNA16 dataset. The proposed framework's generalizability has been evaluated on three additional datasets (i.e., SPIE-AAPM, LungTIME, and HMS) captured by different types of CT scanners., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2022 Liu, Cao, Akin and Tian.)
- Published
- 2022
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50. Associations between Pretreatment Body Composition Features and Clinical Outcomes among Patients with Metastatic Clear Cell Renal Cell Carcinoma Treated with Immune Checkpoint Blockade.
- Author
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Ged Y, Sanchez A, Patil S, Knezevic A, Stein E, Petruzella S, Weiss K, Duzgol C, Chaim J, Akin O, Mourtzakis M, Paris MT, Scott J, Kuo F, Kotecha R, Hakimi AA, Lee CH, Motzer RJ, Voss MH, and Furberg H
- Subjects
- Humans, Male, Female, Immune Checkpoint Inhibitors therapeutic use, Retrospective Studies, Obesity complications, Obesity drug therapy, Body Composition, Carcinoma, Renal Cell pathology, Kidney Neoplasms pathology
- Abstract
Purpose: High body mass index (BMI) may lead to improved immune-checkpoint blockade (ICB) outcomes in metastatic clear cell renal cell carcinoma (mccRCC). However, BMI is a crude body size measure. We investigated BMI and radiographically assessed body composition (BC) parameters association with mccRCC ICB outcomes., Experimental Design: Retrospective study of ICB-treated patients with mccRCC. BMI and BC variables [skeletal muscle index (SMI) and multiple adiposity indexes] were determined using pretreatment CT scans. We examined the associations between BMI and BC variables with ICB outcomes. Therapeutic responses per RECIST v1.1 were determined. We compared whole-transcriptomic patterns with BC variables in a separate cohort of 62 primary tumor samples., Results: 205 patients with mccRCC were included in the cohort (74% were male, 71% were overweight/obese, and 53% were classified as low SMI). High-BMI patients experienced longer overall survival (OS) than normal-weight patients [unadjusted HR, 0.66; 95% confidence interval (CI), 0.45-0.97; P = 0.035]. The only BC variable associated with OS was SMI [unadjusted HR comparing low vs. high SMI 1.65 (95% CI: 1.13-2.43); P = 0.009]. However, this OS association became nonsignificant after adjusting for International Metastatic Renal Cell Carcinoma Database Consortium score and line of therapy. No OS association was seen for adiposity and no BC variable was associated with progression-free survival or radiological responses. Tumors from patients with low SMI displayed increased angiogenic, inflammatory, and myeloid signals., Conclusions: Our findings highlight the relevance of skeletal muscle in the BMI paradox. Future studies should investigate if addressing low skeletal muscle in metastatic patients treated with ICB can improve survival., (©2022 American Association for Cancer Research.)
- Published
- 2022
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