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The convergence of tumor epigenetics and molecularly imprinted polymers (MIPs) holds promise in early cancer diagnostics. To the best of knowledge, none of the studies has achieved DNA methylation detection yet using MIPs and the proposed research will pioneer the application of MIPs for detecting DNA methylation, introducing a novel approach to enhance early diagnostic precision. [ABSTRACT FROM AUTHOR]

Cancer cell‐triggered sol–gel transformation of mineralized hydrogel (PAA‐MnO2) is designed as a facile strategy for cancer detection by manipulating the mineralization process in the presence of cancer cells. The mineralization of polyacrylic acid (PAA) with calcium phosphate via carboxyl‐Ca2+ complex is initially inhibited by the incorporation of reactive oxygen species (ROS)‐sensitive manganese oxide (MnO2) with polymer dots (PDs). In this system, the mineralization can be induced after cleaving MnO2 into Mn2+ by high ROS levels in cancer cells, forming a PAA‐MnO2 mineralized hydrogel and resulting in a naked‐eye system for cancer monitoring. Naked‐eye monitoring of ROS‐responsive sol–gel transformation is performed using a circulator device containing circulating cells to discriminate cancer (HeLa, PC‐3, B16F10) from normal cells (CHO‐K1). With the incorporation of PDs, PAA‐MnO2 mineralized hydrogel not only provides physical transformation (stretchability, viscosity) but also fluorescence‐recovery and electroconductivity changes at different cancer‐cell concentrations (104–106 cells mL−1), including distinct strain–pressure responses that can be wirelessly monitored via smartphones. Furthermore, in vivo, experiments suggest that PAA‐MnO2 mineralized hydrogel can be formed in tumor‐bearing mice owing to its excellent ROS‐scavenging activity at the tumor site, as confirmed by SOD2 and gene‐expression analysis. Thus, this unique approach can potentially enable simple and effective cancer detection in future point‐of‐care diagnostics. [ABSTRACT FROM AUTHOR]

Imaging flow cytometry, which combines the advantages of flow cytometry and microscopy, has emerged as a powerful tool for cell analysis in various biomedical fields such as cancer detection. In this study, we develop multiplex imaging flow cytometry (mIFC) by employing a spatial wavelength division multiplexing technique. Our mIFC can simultaneously obtain brightfield and multi‐color fluorescence images of individual cells in flow, which are excited by a metal halide lamp and measured by a single detector. Statistical analysis results of multiplex imaging experiments with resolution test lens, magnification test lens, and fluorescent microspheres validate the operation of the mIFC with good imaging channel consistency and micron‐scale differentiation capabilities. A deep learning method is designed for multiplex image processing that consists of three deep learning networks (U‐net, very deep super resolution, and visual geometry group 19). It is demonstrated that the cluster of differentiation 24 (CD24) imaging channel is more sensitive than the brightfield, nucleus, or cancer antigen 125 (CA125) imaging channel in classifying the three types of ovarian cell lines (IOSE80 normal cell, A2780, and OVCAR3 cancer cells). An average accuracy rate of 97.1% is achieved for the classification of these three types of cells by deep learning analysis when all four imaging channels are considered. Our single‐detector mIFC is promising for the development of future imaging flow cytometers and for the automatic single‐cell analysis with deep learning in various biomedical fields. [ABSTRACT FROM AUTHOR]

For many years, transrectal ultrasound‐guided (TRUS) prostate biopsies have been performed to establish a histological diagnosis of prostate cancer. This has been the recommended standard of care procedure, but has always carried risks, in particular the risk of post‐procedural sepsis, and the associated antibiotic burden and risk of development of antibiotic resistance. Transperineal (TP) prostate biopsies performed under local anaesthetic (LA) have been proposed as a possible solution to these issues, with potentially lower infectious complications, and avoidance of need for antibiotic prophylaxis. The European Association of Urology produced guidance in 2023 with 'weak' recommendations in favour of LATP biopsy as a new standard of care, citing its safety profile. Both the National Institute for Health and Care Excellence in the UK, and the American Urological Association in the United States, have concluded for now that the body of evidence is inadequate and not offered a similar recommendation. We discuss the available evidence, pros and cons of each technique, and the status of current trials in the field. We believe that clinical equipoise remains necessary, given the disparity in national and international guidelines highlighting the need for large randomised controlled trials to answer the question: is LATP biopsy really better than TRUS biopsy? [ABSTRACT FROM AUTHOR]

Diagnostic encounters can be seen as complex socio‐material processes. Drawing on the new materialist ideas of Barad, we studied how an innovative technology became part of the intra‐actions between different human and non‐human materialities in a cervical cancer diagnostic process. While researching the development of a technology intended to improve cervical cancer detection, we carried out a series of observations of diagnostic encounters involving clinicians, patients and the device in a hospital. The intra‐actions between the different materialities had rhythmic properties, repeated activities and timings that varied in intensity, for example, movements, exchanged looks, and talk that helped co‐produce the diagnosis and maintain consent. Sadly, the device interfered with the rhythms, undermining the clinicians' desire to adopt it, despite it being more accurate at diagnosing ill health than previous assistive technologies. Studying rhythms as part of diagnostic encounters could help with the design and subsequent integration of novel technologies in healthcare, because they encompass relationships created by human and non‐human materialities. Importantly, highlighting the role of rhythms contributes another way diagnostic encounters are co‐produced between clinicians and patients, and how they can be disrupted, improving the understanding of how consent is maintained or lost. [ABSTRACT FROM AUTHOR]

Nanotechnology has emerged as a pivotal tool in biomedical research, particularly in developing advanced sensing platforms for disease diagnosis and therapeutic monitoring. Since gold nanoparticles are biocompatible and have special optical characteristics, they are excellent choices for surface‐enhanced Raman scattering (SERS) sensing devices. Integrating fluorescence characteristics further enhances their utility in real‐time imaging and tracking within biological systems. The synergistic combination of SERS and fluorescence enables sensitive and selective detection of biomolecules at trace levels, providing a versatile platform for early cancer diagnosis and drug monitoring. In cancer detection, AuNPs facilitate the specific targeting of cancer biomarkers, allowing for early‐stage diagnosis and personalized treatment strategies. The enhanced sensitivity of SERS, coupled with the tunable fluorescence properties of AuNPs, offers a powerful tool for the identification of cancer cells and their microenvironment. This dual‐mode detection not only improves diagnostic accuracy but also enables the monitoring of treatment response and disease progression. In drug detection, integrating AuNPs with SERS provides a robust platform for identifying and quantifying pharmaceutical compounds. The unique spectral fingerprints obtained through SERS enable the discrimination of drug molecules even in complex biological matrices. Furthermore, the fluorescence property of AuNPs makes it easier to track medication distribution in real‐time, maximizing therapeutic effectiveness and reducing adverse effects. Furthermore, the review explores the role of gold fluorescence nanoparticles in photodynamic therapy (PDT). By using the complementary effects of targeted drug release and light‐induced cytotoxicity, SERS‐guided drug delivery and photodynamic therapy (PDT) can increase the effectiveness of treatment against cancer cells. In conclusion, the utilization of gold fluorescence nanoparticles in conjunction with SERS holds tremendous potential for revolutionizing cancer detection, drug analysis, and photodynamic therapy. The dual‐mode capabilities of these nanomaterials provide a multifaceted approach to address the challenges in early diagnosis, treatment monitoring, and personalized medicine, thereby advancing the landscape of biomedical applications. [ABSTRACT FROM AUTHOR]

The needle‐based biopsy procedure is common in cancer detection and patient‐specific targeted therapy, wherein a tissue sample from the potential diseased site is acquired and frozen instantly with the help of a coolant medium. While liquid nitrogen (LN2) is the most widely used coolant for preserving the acquired sample and performing biopsy tests on the same at a later time, cold ischemia leads to inevitable cell degradation beyond a threshold time. In an effort to circumvent this challenge, here we aim to put forward the concept of an integrated biopsy sample acquisition and cryotherapy procedure, by incorporating an exclusively designed cooling circuit in a conventional biopsy‐needle for freezing the sample in vivo as soon as it is acquired, while causing cryoablation in the surrounding tissues simultaneously. An enthalpy‐based approach is employed to develop a bioheat transfer model for the cryotherapy design, with illustrative simulation data presented for breast cancer. Our model is demonstrated by considering a constant LN2 cooling temperature of 77.15 K, and cooling powers ranging from 2 to 10 W. The model results elucidate procedure‐specific insights such as the thermal penetration depth and the cooling time on being subjected to the cryoablation. The cooling rates thus obtained are further assessed from the simultaneous considerations of cryopreservation and cryosurgery, deriving critical insights on tissue survival and damage for acting as a precursor to patient‐specific treatment planning. [ABSTRACT FROM AUTHOR]

Extracellular vesicles (EVs) are emerging as biomarker candidates for early detection of prostate cancer. Studies compare EV‐microRNA (miRNA) expression in individuals with prostate cancer (PCa) with cancer‐free samples for diagnostic purposes. The aim of this study is to review miRNA signatures to investigate the overlap between miRNAs enriched in PCa tissue and miRNAs enriched in EVs isolated from subjects with PCa biofluids (i.e., urine, serum, and plasma). Signatures dysregulated in EVs from PCa biofluids and tissue are potentially associated with the primary tumor site and might be more indicative of PCa at an early stage. A systematic review of EV‐derived miRNAs and a reanalysis of PCa tissue miRNA sequencing data for comparison is presented. Articles in the literature are screened for validated miRNA dysregulation in PCa and compared with TCGA primary PCa tumor data using DESeq2. This resulted in 190 dysregulated miRNAs being identified. Thirty‐one eligible studies are identified, indicating 39 dysregulated EV‐derived miRNAs. The top ten markers identified as significantly dysregulated in the PCa tissue dataset TCGA (e.g., miR‐30b‐3p, miR‐210‐3p, miR‐126‐3p, and miR‐196a‐5p) have a significant expression change in EVs with the same directionality in one or several statistically significant results. This analysis highlights several less frequently studied miRNAs in PCa literature. [ABSTRACT FROM AUTHOR]

Background: Little is known about the association between the COVID-19 pandemic and early survival among newly diagnosed cancer patients. Methods: This retrospective population-based cohort study used linked administrative datasets from Ontario, Canada. Adults (=18 years) who received a cancer diagnosis between March 15 and December 31, 2020, were included in a pandemic cohort, while those diagnosed during the same dates in 2018/2019 were included in a pre-pandemic cohort. All patients were followed for one full year after the date of diagnosis. Cox proportional hazards regression models were used to assess survival in relation to the pandemic, patient characteristics at diagnosis, and the modality of first cancer treatment as a time-varying covariate. Interaction terms were explored to measure the pandemic association with survival for each cancer type. Results: Among 179,746 patients, 53,387 (29.7%) were in the pandemic cohort and 37,741 (21.0%) died over the first post-diagnosis year. No association between the pandemic and survival was found when adjusting for patient characteristics at diagnosis (HR 0.99 [95% CI 0.96-1.01]), while marginally better survival was found for the pandemic cohort when the modality of treatment was additionally considered (HR 0.97 [95% CI 0.95-0.99]). When examining each cancer type, only a new melanoma diagnosis was associated with a worse survival in the pandemic cohort (HR 1.25 [95% CI 1.05-1.49]). Conclusions: Among patients able to receive a cancer diagnosis during the pandemic, one-year overall survival was not different than those diagnosed in the previous 2 years. This study highlights the complex nature of the COVID-19 pandemic impact on cancer care. [ABSTRACT FROM AUTHOR]

Objective: To conduct a systematic review of the literature to assess the diagnostic ability, complication rate, patient tolerability, and cost of local anaesthetic (LA) transperineal prostate biopsy. Methods: Two reviewers searched Medline, the Cochrane Library, and Embase for publications on LA transperineal prostate biopsy up to March 2021. Outcomes of interest included cancer detection rates, complication rates, pain assessments and cost. Results: A total of 35 publications with 113 944 men were included in this review. The cancer detection rate for LA transperineal prostate biopsy in patients undergoing primary biopsy was 52% (95% confidence interval [CI] 0.45–0.60; I2 = 97) and the clinically significant cancer detection rate (Gleason≥3 + 4) was 37% (95% CI 0.24–0.52; I2 = 99%). The rate of infection‐related complications in the included studies was 0.15% (95% CI 0.0000–0.0043; I2 = 86). The LA transperineal procedures had a low rate of procedural abandonment (26/6954, 0.37%), with the greatest pain scores measured during LA administration. No formal cost analyses on LA transperineal prostate biopsies were identified in the literature. The overall risk of bias in the included studies was high, with considerable study heterogeneity and publication bias. Conclusion: Transperineal prostate biopsy performed under LA is a viable option for centres interested in avoiding the risk of infection associated with transrectal biopsy, and the logistical burden of general anaesthesia. Further investigation into LA transperineal prostate biopsy with comparative studies is warranted for its consideration as the standard in prostate biopsy technique. [ABSTRACT FROM AUTHOR]

Summary: The Internet of Things (IoT) has tremendously spread worldwide, and it influenced the world through easy connectivity, interoperability, and interconnectivity using IoT devices. Numerous techniques have been developed using IoT‐enabled health care systems for cancer detection, but some limitations exist in transmitting the health data to the cloud. The limitations can be accomplished using the proposed chronological‐based social optimization algorithm (CBSOA) that effectively transmits the patient's health data using IoT network, thereby detecting lung cancer in an effective way. Initially, nodes in the IoT network are simulated such that patient's health data are collected, and for transmission of such data, routing is performed in order to transmit the health data from source to destination through a gateway based on cloud service using CBSOA. The fitness is newly modeled by assuming the factors like energy, distance, trust, delay, and link quality. Finally, lung cancer detection is carried out at the destination point. At the destination point, the acquired input data is fed to preprocessing phase to make the data acceptable for further mechanism using data normalization. Once the feature selection is done using Canberra distance, then the lung cancer detection is performed using shepard convolutional neural network (ShCNN). The process of routing as well as training of ShCNN is performed using the CBSOA algorithm, which is devised by the inclusion of the chronological concept into the social optimization algorithm. The proposed approach has achieved a maximum accuracy of 0.940, maximum sensitivity of 0.941, maximum specificity of 0.928, and minimum energy of 0.452. [ABSTRACT FROM AUTHOR]

Field effect transistor (FET)‐based nanoelectronic biosensor devices provide a viable route for specific and sensitive detection of cancer biomarkers, which can be used for early stage cancer detection, monitoring the progress of the disease, and evaluating the effectiveness of therapies. On the road to implementation of FET‐based devices in cancer diagnostics, several key issues need to be addressed: sensitivity, selectivity, operational conditions, anti‐interference, reusability, reproducibility, disposability, large‐scale production, and economic viability. To address these well‐known issues, significant research efforts have been made recently. An overview of these efforts is provided here, highlighting the approaches and strategies presently engaged at each developmental stage, from the design and fabrication of devices to performance evaluation and data analysis. Specifically, this review discusses the multistep fabrication of FETs, choice of bioreceptors for relevant biomarkers, operational conditions, measurement configuration, and outlines strategies to improve the sensing performance and reach the level required for clinical applications. Finally, this review outlines the expected progress to the future generation of FET‐based diagnostic devices and discusses their potential for detection of cancer biomarkers as well as biomarkers of other noncommunicable and communicable diseases. [ABSTRACT FROM AUTHOR]

Quantitative depth estimation of tumor invasion in early gastric cancer by scattering of circularly polarized light is computationally investigated using the Monte Carlo method. Using the optical parameters of the human stomach wall and its carcinoma, the intensity and circular polarization of light scattered from pseudo‐healthy and cancerous tissues were calculated over a wide spectral range. Large differences in the circular polarization with opposite signs, together with the large intensity, are obtained at wavelengths 600 nm and 950 nm. At these two wavelengths, the sampling depth of the biological tissues can be modulated by tuning the detection angle. In bi‐layered pseudo‐tissues with a cancerous layer on a healthy layer and vice versa, the degree of circular polarization of scattered light shows systematic changes depending on the thickness and depth of the cancerous layer, which indicates the feasibility of in vivo quantitative estimation of cancer progression in early gastric cancer. [ABSTRACT FROM AUTHOR]

Finite element method (FEM) simulations (employing ANSYS High Frequency Structure Simulator, HFSS) are used to investigate the response of terahertz (THz) frequency range split‐ring resonators (SRRs) integrated with on‐chip THz waveguides to cancerous tissues. Two‐port S‐parameter simulations are performed to obtain the transmission spectra (S21) of a planar Goubau line (PGL) integrated with an SRR. Permittivity and loss tangent of the colonic tissues are both taken into account in the numerical simulation. The transmission spectra of the SRR integrated PGL are obtained for cancerous and healthy tissues in close proximity to the SRR, and it is found that they can be distinguished by the resonant frequency shift of the SRR induced by dielectric loading. The electric field distribution and magnitude near the SRR for various capacitive gap widths of SRR are investigated to understand how the gap width affects the maximum electric field magnitude and the vertical extent of the electric field in the gap area. The simulated imaging of colonic tissue consisting of healthy and cancerous tissues using the SRR integrated PGL device with a protective layer on it is performed, showing how the technique could in principle be used to distinguish tumor margins with realistic THz dielectric parameters. [ABSTRACT FROM AUTHOR]

In this study, we evaluate and compare the diagnostic performance of ultrasound for non‐invasive axillary lymph node (ALN) metastasis detection. The study was based on fusing shear wave elastography (SWE) and B‐mode ultrasonography (USG) images. These images were subjected to pre‐processing and feature extraction, based on bi‐dimensional empirical mode decomposition and higher order spectra methods. The resulting nonlinear features were ranked according to their p‐value, which was established with Student's t‐test. The ranked features were used to train and test six classification algorithms with 10‐fold cross‐validation. Initially, we considered B‐mode USG images in isolation. A probabilistic neural network (PNN) classifier was able to discriminate positive from negative cases with an accuracy of 74.77% using 15 features. Subsequently, only SWE images were used and as before, the PNN classifier delivered the best result with an accuracy of 87.85% based on 47 features. Finally, we combined SWE and B‐mode USG images. Again, the PNN classifier delivered the best result with an accuracy of 89.72% based on 71 features. These three tests indicate that SWE images contain more diagnostically relevant information when compared with B‐mode USG. Furthermore, there is scope in fusing SWE and B‐mode USG to improve non‐invasive ALN metastasis detection. [ABSTRACT FROM AUTHOR]

This article presents the correlation of creep and viscoelastic properties to the cytoskeletal structure of both tumorigenic and non‐tumorigenic cells. Unique shear assay and strain mapping techniques were used to study the creep and viscoelastic properties of single non‐tumorigenic and tumorigenic cells. At least 20 individual cells, three locations per cell, were studied. From the results, lower densities in the volume of actin, and keratin 18 structures were observed with the progression of cancer and were correlated to the increased creep rates and reduced mechanical properties (Young's moduli and viscosities) of tumorigenic (MDA‐MB‐231) cells. The study reveals significant differences between the creep and viscoelastic properties of non‐tumorigenic breast cells versus tumorigenic cells. The variations in the creep strain rates are shown to be well characterized by lognormal distributions, while the statistical variations in the viscoelastic properties are well‐described by normal distributions. The implications of the results are discussed for the study of discrete cell behaviors, strain and viscoelastic responses of the cell, and the role of cell cytoskeleton in the onset and progression of cancers. [ABSTRACT FROM AUTHOR]

Background: During the coronavirus disease 2019 pandemic, US unemployment rates rose to historic highs, and they remain nearly double those of prepandemic levels. Employers are the most common source of health insurance among nonelderly adults. Thus, job loss may lead to a loss of health insurance and reduce access to cancer screening. This study examined associations between unemployment, health insurance, and cancer screening to inform the pandemic's potential impacts on early cancer detection. Methods: Up‐to‐date and past‐year breast, cervical, colorectal, and prostate cancer screening prevalences were computed for nonelderly respondents (aged <65 years) with 2000‐2018 National Health Interview Survey data. Multivariable logistic regression models with marginal probabilities were used to estimate unemployed‐versus‐employed unadjusted and adjusted prevalence ratios. Results: Unemployed adults (2000‐2018) were 4 times more likely to lack insurance than employed adults (41.4% vs 10.0%; P <.001). Unemployed adults had a significantly lower up‐to‐date prevalence of screening for cervical cancer (78.5% vs 86.2%; P <.001), breast cancer (67.8% vs 77.5%; P <.001), colorectal cancer (41.9 vs 48.5%; P <.001), and prostate cancer (25.4% vs 36.4%; P <.001). These differences were eliminated after accounting for health insurance coverage. Conclusions: Unemployment was adversely associated with up‐to‐date cancer screening, and this was fully explained by a lack of health insurance. Ensuring the continuation of health insurance coverage after job loss may mitigate the pandemic's economic distress and future economic downturns' impact on cancer screening. Unemployment is adversely associated with up‐to‐date cancer screening, and this is fully explained by a lack of health insurance. [ABSTRACT FROM AUTHOR]

Autofluorescence of blood has been explored as a label free approach for detection of cell types, as well as for diagnosis and detection of infection, cancer, and other diseases. Although blood autofluorescence is used to indicate the presence of several physiological abnormalities with high sensitivity, it often lacks disease specificity due to use of a limited number of fluorophores in the detection of several abnormal conditions. In addition, the measurement of autofluorescence is sensitive to the type of sample, sample preparation, and spectroscopy method used for the measurement. Therefore, while current blood autofluorescence detection approaches may not be suitable for primary clinical diagnosis, it certainly has tremendous potential in developing methods for large scale screening that can identify high risk groups for further diagnosis using highly specific diagnostic tests. This review discusses the source of blood autofluorescence, the role of spectroscopy methods, and various applications that have used autofluorescence of blood, to explore the potential of blood autofluorescence in biomedical research and clinical applications. [ABSTRACT FROM AUTHOR]

Human papilloma virus (HPV) infection is a key risk factor and etiology for oropharyngeal squamous cell carcinoma (OPSCC). HPV‐induced OPSCC is rapidly increasing in incidence, with men experiencing increased mortality. When identified at an early stage, HPV‐induced OPSCC can be successfully treated. Diagnosis of HPV‐related OPSCC relies on an expert physical examination and invasive biopsy. Since saliva bathes the oropharyngeal mucosa and can be collected noninvasively, saliva obtained via salivary risings is an attractive body fluid for early detection of HPV‐induced OPSCC. A plethora of DNA, RNA, and protein salivary biomarkers have been explored. This review discusses these markers and their robustness for detecting oncogenic HPV in OPSCC saliva samples. Methods detecting HPV DNA were more reliable than those detecting RNA, albeit both require time‐consuming analyses. Salivary HPV proteomics are a new, promising focus of HPV detection research, and while more practical, lag behind nucleic acid detection methods in their development. [ABSTRACT FROM AUTHOR]

Recently, image processing schemes are widely used to improve disease detection performance in many medicinal fields. Cancer is considered as one of the most deadly disease and early diagnosis of cancer is the complicated task in the field of medicine. In this paper, we present the two pretrained convolutional neural network (CNN) based on ensemble models such as VGG19 and VGG16 for cancer diagnosis that classifies both normal and abnormal images. The dilemma associated with CNN hyperparameter tuning complicates while diagnosing cancer. Hence, we propose multistrategy based artificial electric field (M‐AEF) algorithm for hyper‐parameter tuning in CNN thereby finding the optimal values. The exponentially decaying learning rates are more helpful to train CNN and prevent it from a local minimum. Thus, random minority over‐sampling and random majority under‐sampling address the imbalanced issue present in the dataset. The images are obtained from three different datasets namely the Kaggle dataset, International Collaboration on Cancer Reporting (ICCR) dataset, and cancer programming dataset for cancer detection. The experimental results are executed in MATLAB software and various performance analyses are carried out. Finally, the proposed method demonstrated better and higher cancer detection performance than other methods. [ABSTRACT FROM AUTHOR]

Real‐time in vivo detection of cancer via attenuation‐based plain X‐ray imaging is proposed to fundamentally overcome the penetration depth limits of current fluorescence‐based imaging techniques. Using cesium lead bromide (CsPbBr3, CPB) quantum dot (QD) scintillators, real‐time X‐ray detection of 5 mm‐sized Panc‐1 cell tumors grown in a mouse is successfully performed. The QDs are rapidly co‐synthesized and double‐encapsulated with silicon dioxide (SiO2) to completely prevent them from being aggregated, decomposed, or released; they are then conjugated with antibodies to target pancreatic cancer. Due to the dramatic X‐ray attenuation, the X‐ray signal from the CPB QDs placed under the 2 cm‐thick tissue is clearly observed, while their fluorescence signal is not detected at all. In in vivo mouse experiments, the injection of a tiny amount (2.8 μg on a QD basis) of the CPB–SiO2@SiO2–Ab nanoparticles gives rise to a bright spot at the location of the tumor. Cell viability assay and histological analysis confirm the biocompatibility and nontoxicity of the nanoparticles. [ABSTRACT FROM AUTHOR]

Background: Prebiopsy magnetic resonance imaging (MRI) of the prostate improves detection of significant tumors, while decreasing detection of less-aggressive tumors. Therefore, its use has been increasing over time. In this study, the use of prebiopsy MRI among Medicare beneficiaries with prostate cancer was examined. It was hypothesized that patients of color and those in isolated areas would be less likely to undergo this approach for cancer detection.Methods: Using cancer registry data from the Surveillance, Epidemiology, and End Results (SEER) program linked to billing claims for fee-for-service Medicare beneficiaries, men with nonmetastatic prostate cancer were identified from 2010 through 2015 with prostate-specific antigen (PSA) <30 ng/mL. Outcome was prebiopsy MRI of the prostate performed within 6 months before diagnosis (ie, Current Procedural Terminology 72197). Exposures were patient race/ethnicity and rural/urban status. Multivariable regression estimated the odds of prebiopsy prostate MRI. Post hoc analyses examined associations with the registry-level proportion of non-Hispanic Black patients and MRI use, as well as disparities in MRI use in registries with data on more frequent use of prostate MRI.Results: There were 50,719 men identified with prostate cancer (mean age, 72.1 years). Overall, 964 men (1.9% of cohort) had a prebiopsy MRI. Eighty percent of patients with prebiopsy MRI lived in California, New Jersey, or Connecticut. Non-Hispanic Black men (0.6% vs 2.1% non-Hispanic White; odds ratio [OR], 0.28; 95% CI, 0.19-0.40) and men in less urban areas (1.1% vs 2.2% large metro; OR, 0.65; 95% CI, 0.44-0.97) were less likely to have prebiopsy MRI of the prostate.Conclusions: Non-Hispanic Black patients with prostate cancer and those in less urban areas were less likely to have prebiopsy MRI of the prostate during its initial adoption as a tool for improving prostate cancer detection. [ABSTRACT FROM AUTHOR]

Cancer is one of the leading causes of death worldwide producing an estimated cost of $161.2 billion in the US in 2017 only. Early detection of cancer can not only reduce cancer mortality rates but also dramatically reduce healthcare costs given that the 17 million new cancer cases in 2018 are estimated to grow 27.5 million new cases by 2040. Analytical devices based upon paper substrates can provide effective, rapid, and extremely low‐cost alternatives for early cancer detection compared to existing testing methods. However, low concentrations of biomarkers in body fluids as well as the possible association of any given biomarker with multiple diseases remains one of the greatest challenges to widespread adoption of these paper‐based devices. Fortunately, recent advances have opened the possibility of detecting multiple biomarkers within the same device, which can be predictive of a patient's condition with unprecedented cost‐effectiveness. Accordingly, this review highlights the recent advancements in paper‐based analytical devices with a multiplexing focus. The primary areas of interest include lateral flow assay and microfluidic paper‐based assay formats, signal amplification approaches to enhance the sensitivity for a specific cancer type, along with current challenges and future outlook for the detection of multiple cancer biomarkers. [ABSTRACT FROM AUTHOR]

Over the past decade, substantial developments have been made in the detection of circulating tumor DNA (ctDNA)—cell‐free DNA (cfDNA) fragments released into the circulation from tumor cells and displaying the genetic alterations of those cells. As such, ctDNA detected in liquid biopsies serves as a powerful tool for cancer patient stratification, therapy guidance, detection of resistance, and relapse monitoring. In this Review, we describe lung cancer diagnosis and monitoring strategies using ctDNA detection technologies and compile recent evidence regarding lung cancer‐related mutation detection in liquid biopsy. We focus not only on epidermal growth factor receptor (EGFR) alterations, but also on significant co‐mutations that shed more light on novel ctDNA‐based liquid biopsy applications. Finally, we discuss future perspectives of early‐cancer detection and clonal hematopoiesis filtering strategies, with possible inclusion of microbiome‐driven liquid biopsy. [ABSTRACT FROM AUTHOR]

The early diagnosis of recurrence and metastasis is critically important for decreasing the morbidity and mortality associated with oral cancers. Although liquid biopsy methods hold great promise that provide a successive "time‐slice" profile of primary and metastatic oral cancer, the development of non‐invasive, rapid, simple, and cost‐effective liquid biopsy techniques remains challenging. In this study, an ultrasensitive and selective electrochemical liquid biopsy is developed for oral cancer screening based on tracking trace amounts of cancer biomarker by functionalized asymmetric nano‐channels. Detection via antigen–antibody reactions is assayed by evaluating changes in ionic current. Upon the recognition of cancer biomarker antigens in bio‐fluids, the inner wall of nano‐channel immobilized with the corresponding antibodies undergoes molecular conformation transformation and surface physicochemical changes, which significantly regulate the ion transport through the nano‐channel and help achieve sensitivity with a detection limit of 10–12 g mL−1. Furthermore, owing to the specificity of the monoclonal antibody for the antigen, the nano‐channel exhibits high selectivity for the biomarker than for structurally similar biological molecules present in bio‐fluids. The effectiveness of this technique is confirmed through the diagnosis of clinical cases of oral squamous cell carcinoma. This study presents a novel diagnostic tool for oral cancer detection in bio‐fluids. [ABSTRACT FROM AUTHOR]

Glucose-regulated protein 78 (GRP78) is an endoplasmic reticulum (ER) chaperone that has been shown that is overexpressed in cancer cells. Overexpression of GRP78 on cancer cells makes this molecule a suitable candidate for cancer detection and targeted therapy. VHH is the binding fragment of camelid heavy-chain antibodies also known as "nanobody." The aim of this study is to isolate and produce a new recombinant nanobody using phage display technique to detect cancer cells. Using the c-terminal domain of GRP78 (CGRP) as an antigen, four rounds of biopanning were performed, and high-affinity binders were selected by ELISA. Their affinity and functionality were characterized by surface plasmon resonance (SPR) cell ELISA and immunocytochemistry. A unique nanobody named V80 was purified. ELISA and SPR showed that this antibody had high specificity and affinity to the GRP78. Immunofluorescence analysis showed that V80 could specifically bind to the HepG2 and A549 cancer cell lines. This novel recombinant nanobody could bind to the cell surface of different cancer cells. After further evaluation, this nanobody can be used as a new tool for cancer detection and tumor therapy. [ABSTRACT FROM AUTHOR]

Depolarization of circularly polarized light scattered from biological tissues depends on structural changes in cell nuclei, which can provide valuable information for differentiating cancer tissues concealed in healthy tissues. In this study, we experimentally verified the possibility of cancer identification using scattering of circularly polarized light. We investigated the polarization of light scattered from a sliced biological tissue with various optical configurations. A significant difference between circular polarizations of light scattered from cancerous and healthy tissues is observed, which is sufficient to distinguish a cancerous region. The line‐scanning experiments along a region incorporating healthy and cancerous parts indicate step‐like behaviors in the degree of circular polarization corresponding to the state of tissues, whether cancerous or normal. An oblique and perpendicular incidence induces different resolutions for identifying cancerous tissues, which indicates that the optical arrangement can be selected according to the priority of resolution. [ABSTRACT FROM AUTHOR]

Aims: To explore radiologist characteristics and case features associated with diagnostic performances in cancer detection on mammograms in a South East Asian population. Methods: Fifty‐three radiologists reported 60 mammographic examinations which consisted of 40 normal and 20 cancer‐containing cases at the BREAST workshops. Radiologists were asked to examine each mammogram using the BIRADS on diagnostic monitors. Differences in reader characteristics and case features between correct and incorrect decisions were assessed separately for cancer and normal cases. Univariate and multivariate logistic regressions were applied to generate odds ratios (OR) for significant factors related to correct decisions. Results: Radiologists who spent ≥10 hours/week reporting mammograms had a higher possibility of detecting cancer lesions (OR = 1.6; P = 0.01). A higher rate of accuracy in reporting negative cases was associated with female radiologists (OR = 1.4; P = 0.002), radiologists who read ≤20 mammograms per week (OR = 1.5; P < 0.0001), had completed training course (OR = 1.7; P < 0.0001) or wore eyeglasses (OR = 1.4; P = 0.01). Cancer cases with breast density >50% (OR = 2.1; P < 0.0001), having abnormal lesions ≥9 mm (OR = 1.8; P < 0.0001), or displaying calcifications, a discrete mass or nonspecific density (OR = 1.6; P < 0.0001) were recorded with a higher detection rate by radiologists than other cases. Lesions located on the right breasts (OR = 1.8; P < 0.0001) or found in the lower inner, upper outer or mixed locations (OR = 2.7; P < 0.0001) were also recorded with a better diagnostic possibility compared with other lesions. Conclusion: This work identified key features related to diagnostic accuracy of breast cancer on mammograms in a nonscreening population, which is helpful for developing appropriate strategies to improve breast cancer detectability of radiologists. [ABSTRACT FROM AUTHOR]

Objectives: To evaluate the utility of blue‐light flexible cystoscopy (BLFC) for surveillance of non‐muscle‐invasive bladder cancer (NMIBC). Patients and Methods: Prospective cohort of consecutive patients who underwent office‐based BLFC for NMIBC. Clinical information was collected including cystoscopic findings and pathological data. Results: A total of 322 cases were performed on 190 patients. The mean age was 71 years and 83% were men. The highest stage prior to BLFC was Ta, carcinoma in situ (CIS), T1, and T2 in 45.3%, 18.4%, 30% and 2%, respectively. Prior to BLFC, 16.8%, 60.5%, and 16.8% were low grade (LG), high grade (HG), and CIS, respectively. Intravesical bacille Calmette–Guérin and intravesical chemotherapy were used in 54.2% and 18.4%, respectively. White‐light cystoscopy (WLC) and BLFC were both normal in 173 (53.7%) of cases. WLC was normal and BLFC was abnormal in 26 (8%) cases. Of these, 15 had office‐based biopsy and cancer was detected in 13 (87%; six CIS, four HG Ta, three LG Ta). Both WLC and BLFC were positive in 83 (25.8%) cases and 33% had additional tumours found. Cancer was found in 27 (75%) of WLC+/BLFC+ who underwent office‐based biopsy including 19 LG Ta, six HG Ta, and two CIS. Conclusions: Incorporation of BLFC in clinical practice has potential advantages of finding cancer in cases with normal WLC. BLFC detected additional cancers in 33% of patients with positive WLC and BLFC, which can improve surveillance and performance of office‐based biopsy. Further research is needed to determine cost‐effectiveness and impact on recurrence rates. [ABSTRACT FROM AUTHOR]

Surgical resection of solid tumors is currently the most efficient and preferred therapeutic strategy for treating cancer. Despite significant medical, technical, and scientific advances, the complete treatment of this lethal disease is still a challenging task. New imaging techniques and contrast agents are urgently needed to improve cytoreductive surgery and patient outcomes. Tumor‐targeted probes are valuable for guiding a surgical resection of tumor from subjective judgments to visual inspection. Near‐infrared (NIR) fluorescent imaging is a promising technology in preclinical and clinical tumor diagnosis and therapy. The rapid development in NIR fluorophores with improved optical properties, targeting strategies, and imaging devices has brought about prospective study of novel NIR nanomaterials for intraoperative tumor detection. In this review, we summarize the recent development in NIR‐emitting organic fluorophores and cancer‐targeting strategies that specifically target and accumulate in tumors for the molecular imaging of cancerous cells. We believe this technique utilizing new fluorescent probes with an intraoperative optical imaging capacity could provide a more sensitive and accurate method for cancer resection guidance, thereby resulting in better surgical outcomes. This article is categorized under:Diagnostic Tools > in vivo Nanodiagnostics and ImagingNanotechnology Approaches to Biology > Nanoscale Systems in Biology [ABSTRACT FROM AUTHOR]

Background: Early detection of colorectal cancer (CRC) is associated with decreased mortality and potential avoidance of chemotherapy. CRC screening rates are lower in rural communities and patient outcomes are poorer. This study examines the extent to which United States' rural residents present at a more advanced stage of CRC compared to nonrural residents. Methods: Using the 2010–2014 Surveillance, Epidemiology and End Results Incidence data, 132,277 patients with CRC were stratified using their county of residence and urban influence codes into 5 categories (metro, adjacent micropolitan, nonadjacent micropolitan, small rural, and remote small rural). Logistic regression was used to investigate the relationship between late stage at diagnosis and county‐level characteristics including level of rurality, persistent poverty, low education and low employment, and patient characteristics. Results: In the adjusted analysis the rate of stage 4 CRC at diagnosis differed across geographic classification, with patients living in remote small rural counties having the highest rate of stage 4 disease (range: 19.2% in nonadjacent micropolitan counties to 22.7% in remote small rural counties). Other factors, such as patient characteristics, insurance status, and regional practice variation were also significantly associated with late‐stage CRC diagnosis. Conclusions: Geographic residence is associated with the rate of stage 4 disease at presentation. Additional patient factors are associated with stage 4 CRC disease at diagnosis. Cancer outcomes are worse for rural patients, and late stage at diagnosis may partially account for this disparity. These differences have persisted over time and suggest areas for further research, patient engagement, and education. [ABSTRACT FROM AUTHOR]

Cancer stem cells (CSC) are believed to be the driving force of cancer metastases and are a rare population of self‐renewing cells that contribute majorly to the poor outcomes of cancer therapy. The detection of CSC is of utmost importance to shed light on the indestructible nature of certain solid tumors and their metastatic ability. However, tumors tend to harbor CSCs in a specialized niche, making the detection process difficult. Currently, there is no method available to detect CSCs. The significance of this work is twofold. First, to the best of the knowledge, it is the first time that the detection of CSC is demonstrated. This approach simultaneously detects both the phenotypic and the metabolic state of the cell, thus enabling universal detection of CSC with high accuracy. Second, to the best of the knowledge, for the first time, light is shed on cell chemistry of CSC in their dedicated niche to facilitate a better understanding of the key players involved in the metabolic rewiring of CSC. This work will enable a better understanding of the fundamentals of CSCs, which are critical for the early diagnosis of cancer and the development of therapies for the cure of cancer. [ABSTRACT FROM AUTHOR]

The early detection of cancer cells and their visualization before and after surgery are essential for successful pre‐ and post‐operative disease management. Although fluorescence imaging is a sensitive and versatile tool that is finding increasing use in clinical applications, there is a lack of tumour‐targeting fluorophores. We report here a family of fluorescent Schiff base organotin dyes (1: Et2N−L‐SnPh2, 2: Et2N−L‐SnBu2, 3: MeO−L‐SnPh2, 4: MeO−L‐SnBu2, 5: HO−L‐SnPh2, and 6: HO−L‐SnBu2, where L=2‐hydroxybenzylidene‐4‐hydroxybenzhydrazine). In addition to one‐photon‐excited fluorescence, efficient two‐photon excitation was demonstrated in compounds 1–4. Two of the compounds (5 and 6), both with hydroxyl substituents, were capable of selective accumulation in HeLa cells, allowing differentiation from normal cells (periodontal ligament cells). Compounds 1 and 3 showed excellent cancer cell staining (HeLa) using two‐photon bioimaging, which is promising for biomedicine applications. [ABSTRACT FROM AUTHOR]

Introduction: The aim of this study was to determine the relationship between the way breast cancer is diagnosed and its prognostic features.Methods: We studied new primary invasive and non-invasive breast cancers (670) diagnosed between 2013 and 2015 where detection included at least clinical examination, mammography and breast ultrasound (BUS). The cancers were classified into six Diagnostic Groups according to the results of each modality.Results: Overall, 79% of cancers were positive on mammography, but another 20% were diagnosed on BUS after a negative mammogram. The largest group (37.6% of cases), had all three modalities positive (Group 1). BUS was the only modality positive in 14.6% (Group 4). Mammography alone was positive in 21.2%, of which 73.9% were ductal carcinoma in situ (DCIS). Invasive lobular carcinoma comprised 9.6% of the groups where mammography was positive, but 16.5% of the groups where mammography was negative and BUS positive. Dense breast tissue was more common in the groups where mammography was negative and BUS positive. Invasive cancers comprised 82.7% of Group 4 and 95.2% of Group 1. For those in Group 4, the average size (10.2 mm) and the percentages with lymphovascular invasion (11.1%), lymph node involvement (17.3%) and poor differentiation (12.3%) were less than half the corresponding figures for Group 1 (27.3 mm, 35%, 44%, 44%).Conclusion: This study illustrates the complementary benefits of mammography and BUS, especially where breast density is high. Tumours diagnosed by BUS alone had better prognostic features in terms of size, lymphovascular invasion, lymph node status, differentiation and hormone receptors, compared with cancers where all three modalities were positive. [ABSTRACT FROM AUTHOR]

Background: Multiparametric magnetic resonance imaging (mpMRI) of the prostate appears to improve prostate cancer detection, but studies comparing mpMRI to histopathology at the time of radical prostatectomy (RP) are lacking. This retrospective study determined the accuracy of mpMRI predicting Gleason score and index lesion location at the time of RP, the current gold standard for diagnosis. Methods: Between April 2013 and April 2016, a database of all men aged more than 40 years who underwent RP after positive transrectal ultrasound biopsy by an experienced urological surgeon was collated at a single regional centre. This was cross‐referenced with a database of all men who had mpMRIs performed at a single centre and reported according to Prostate Imaging Reporting and Data System (PI‐RADS version 1) during this period to generate a sample size of 64 men. A Spearman's rho test was utilized to calculate correlation. Results: Median age of patients was 64 years, the median prostate‐specific antigen at RP was 6.22 ng/mL. mpMRI was positive (≥PI‐RADS 3) in 85.9% of patients who underwent RP. More than 92% of participants had Gleason ≥7 disease. A positive relationship between mpMRI prostate PI‐RADS score and RP cancer volume was demonstrated. An anatomical location correlation calculated in octants was found to be 89.1% accurate. Conclusion: mpMRI accurately detects prostate cancer location and severity when compared with gold standard histopathology at the time of RP. It thus has an important role in planning for future prostate biopsy and cancer treatment. [ABSTRACT FROM AUTHOR]

Background Because of the time and expense associated with the procedures and possible distress to the patient, cystoscopy or other imaging techniques are typically not used for bladder cancer detection before symptoms become present. Alternatively, commercial assays for urinary tumor markers exist but are marred by low sensitivity and high cost. There is a need for a simple and sensitive means of tumor detection, such as via the analysis of urine. Methods Plasmids encoding the secretable reporter Gaussia Luciferase (G.LUC), under the control of cmv, cox2 or opn promoters, were delivered via polyethylenimine into bladder tumor cells in culture and into the bladders of mice. Expression profiles of the reporter were recorded, the optimal times for reporter detection were determined and the relationship of reporter expression with tumor size was calculated. Results In vitro results showed that both the cox2 and opn promoters can drive significant expression of G.LUC in bladder carcinoma cells in a targeted fashion. In vivo results demonstrated that the cox2 promoter caused expression of G.LUC at detectable levels in the urine, with local signal maxima occurring at 48 and 72 h post-transfection. G.LUC levels in the urine had a 24-h periodicity, with the periodicity partly being the result of an agent secreted by tumor cells that served to mask the luciferase signal. Conclusions Having shown tumor specificity and having been calibrated with respect to circadian expression patterns, the detection system shows great promise for future investigation of tumor presence both in the urinary bladder and other models of cancer. [ABSTRACT FROM AUTHOR]

Objective To evaluate the accuracy of real-time elastic fusion image-guided transperineal prostate biopsy with needle tracking involving a mechanical position-encoded stepper in detecting clinically significant prostate cancer for biopsy-naïve men. Methods We prospectively recruited patients with serum prostate-specific antigen levels of 4.0-20 ng/mL and suspicious of prostate cancer on multiparametric magnetic resonance imaging. They underwent targeted biopsies for cancer-suspicious lesions and 12-core systematic biopsies. Pathological findings from biopsy cores and whole-mount specimens (for those who underwent radical prostatectomy) were analyzed. Results A total of 250 patients were included, in whom targeted and systematic biopsies detected significant cancers in 55% and 25%, respectively ( P < 0.001). The targeted biopsy cores ( n = 527) showed significantly greater biopsy-proven significant cancer detection rates ( P < 0.001), cancer core length ( P < 0.0001), cancer core percentage ( P < 0.001) and Gleason scores ( P < 0.001) than did the systematic biopsies. The significant cancer detection rate for targeted lesions (those with Prostate Imaging and Reporting and Data System classification scores of 5) was 80%. Biopsy-proven significant cancer detection rates for targeted lesions ≤10 mm and >10 mm were similar for Prostate Imaging and Reporting and Data System scores of 4 ( P = 0.707) and 5 ( P = 0.386). In whole-mount specimens ( n = 30), locations for 95% of significant cancers were diagnosed preoperatively. Targeted biopsies alone diagnosed 79% of significant cancers. Conclusions Although targeted biopsies are superior to systematic biopsies in detecting significant cancers, systematic biopsies maintain an important role in the diagnosis of prostate cancer in biopsy-naïve men. [ABSTRACT FROM AUTHOR]

Objectives To evaluate the cancer detection rates for men undergoing 12-core systematic prostate biopsy with negative prebiopsy multiparametric magnetic resonance imaging (mp MRI) results. Materials and Methods Clinical data from consecutive men undergoing prostate biopsy who had undergone prebiopsy 3T mp MRI from December 2011 to August 2014 were reviewed from an institutional review board-approved prospective database. Men with negative prebiospy mp MRI results (neg MRI) before biopsy were identified for the present analysis. Clinical features, cancer detection rates and negative predictive values were summarized. Results Seventy five men with neg MRI underwent systematic 12-core biopsy during the study period. In the entire cohort, men with no previous biopsy, men with previously negative biopsy and men enrolled in active surveillance protocols, the overall cancer detection rates were 18.7, 13.8, 8.0 and 38.1%, respectively, and the detection rates for Gleason score ( GS) ≥7 cancer were 1.3, 0, 4.0 and 0%, respectively. The NPVs for all cancers were 81.3, 86.2, 92.0, and 61.9, and for GS ≥7 cancer they were 98.7, 100, 96.0 and 100%, respectively. Conclusions A negative prebiopsy mp MRI confers an overall NPV of 82% on 12-core biopsy for all cancer and 98% for GS ≥7 cancer. Based on biopsy indication, these findings assist in prebiopsy risk stratification for detection of high-risk disease and may provide guidance in the decision to pursue biopsy. [ABSTRACT FROM AUTHOR]

Purpose: To improve early diagnosis of prostate cancer to aid clinical decision-making. Diffusion-weighted magnetic resonance imaging (DW-MRI) is sensitive to water diffusion throughout tissues, which correlates with Gleason score, a histological measure of prostate cancer aggressiveness. In this study the ability of DW-MRI to detect prostate cancer onset and development was evaluated in transgenic adenocarcinoma of the mouse prostate (TRAMP) mice.Materials and Methods: T2 -weighted and DW-MRI were acquired using a 7T MR scanner, 200 mm bore diameter; 10 TRAMP and 6 C57BL/6 control mice were scanned every 4 weeks from 8 weeks of age until sacrifice at 28-30 weeks. After sacrifice, the genitourinary tract was excised and sectioned for histological analysis. Histology slides registered with DW-MR images allowed for validation of DW-MR images and the apparent diffusion coefficient (ADC) as tools for cancer detection and disease stratification. An automated early assessment tool based on ADC threshold values was developed to aid cancer detection and progression monitoring.Results: The ADC differentiated between control prostate ((1.86 ± 0.20) × 10(-3) mm(2) /s) and normal TRAMP prostate ((1.38 ± 0.10) × 10(-3) mm(2) /s) (P = 0.0001), between TRAMP prostate and well-differentiated cancer ((0.93 ± 0.18) × 10(-3) mm(2) /s) (P = 0.0006), and between well-differentiated cancer and poorly differentiated cancer ((0.63 ± 0.06) × 10(-3) mm(2) /s) (P = 0.02).Conclusion: DW-MRI is a tool for early detection of cancer, and discrimination between cancer stages in the TRAMP model. The incorporation of DW-MRI-based prostate cancer stratification and monitoring could increase the accuracy of preclinical trials using TRAMP mice. [ABSTRACT FROM AUTHOR]

Raman spectroscopy has becoming a practical tool for rapid in vivo tissue diagnosis. This paper provides an overview on the latest development of real-time in vivo Raman systems for cancer detection. Instrumentation, data handling, as well as oncology applications of Raman techniques were covered. Optic fiber probes designs for Raman spectroscopy were discussed. Spectral data pre-processing, feature extraction, and classification between normal/ benign and malignant tissues were surveyed. Applications of Raman techniques for clinical diagnosis for different types of cancers, including skin cancer, lung cancer, stomach cancer, oesophageal cancer, colorectal cancer, cervical cancer, and breast cancer, were summarized. Schematic of a real-time Raman spectrometer for skin cancer detection. Without correction, the image captured on CCD camera for a straight entrance slit has a curvature. By arranging the optic fiber array in reverse orientation, the curvature could be effectively corrected. [ABSTRACT FROM AUTHOR]

Polarization-based optical techniques have become increasingly popular in the field of biomedical diagnosis. In the current report we exploit the directional awareness of circularly and/or elliptically polarized light backscattered from turbid tissue-like scattering media. We apply circularly and elliptically polarized laser light which illuminates the samples of interest, and a standard optical polarimeter is used to observe the polarization state of light backscattered a few millimeters away from the point of incidence. We demonstrate that the Stokes vector of backscattered light depicted on a Poincaré sphere can be used to assess a turbid tissue-like scattering medium. By tracking the Stokes vector of the detected light on the Poincaré sphere, we investigate the utility of this approach for characterization of cancerous and non-cancerous tissue samples in vitro. The obtained results are discussed in the framework of a phenomenological model and the results of a polarization tracking Monte Carlo model, developed in house. [ABSTRACT FROM AUTHOR]

Mesothelioma is a form of cancer generally caused from previous exposure to asbestos. Although it was considered a rare neoplasm in the past, its incidence is increasing worldwide due to extensive use of asbestos. In the current practice of medicine, the gold standard for diagnosing mesothelioma is through a pleural biopsy with subsequent histologic examination of the tissue. The diagnostic tissue should demonstrate the invasion by the tumor and is obtained through thoracoscopy or open thoracotomy, both being highly invasive surgical operations. On the other hand, thoracocentesis, which is removal of effusion fluid from the pleural space, is a far less invasive procedure that can provide material for cytological examination. In this study, we aim at detecting and classifying malignant mesothelioma based on the nuclear chromatin distribution from digital images of mesothelial cells in effusion cytology specimens. Accordingly, a computerized method is developed to determine whether a set of nuclei belonging to a patient is benign or malignant. The quantification of chromatin distribution is performed by using the optimal transport-based linear embedding for segmented nuclei in combination with the modified Fisher discriminant analysis. Classification is then performed through a k-nearest neighborhood approach and a basic voting strategy. Our experiments on 34 different human cases result in 100% accurate predictions computed with blind cross validation. Experimental comparisons also show that the new method can significantly outperform standard numerical feature-type methods in terms of agreement with the clinical diagnosis gold standard. According to our results, we conclude that nuclear structure of mesothelial cells alone may contain enough information to separate malignant mesothelioma from benign mesothelial proliferations. © 2015 International Society for Advancement of Cytometry [ABSTRACT FROM AUTHOR]

Background Melanoma is a leading fatal illness responsible for 80% of deaths from skin cancer. It originates in the pigment-producing melanocytes in the basal layer of the epidermis. Melanocytes produce the melanin (the dark pigment), which is responsible for the color of skin. As all cancers, melanoma is caused by damage to the DNA of the cells, which causes the cell to grow out of control, leading to a tumor, which is much more dangerous if it cannot be found or detected early. Only biopsy can determine exact malformation diagnosis, although it can rise metastasizing. When a melanoma is suspected, the usual standard procedure is to perform a biopsy and to subsequently analyze the suspicious tissue under the microscope. Methods In this paper, we provide a new approach using methods known as 'imaging spectroscopy' or 'spectral imaging' for early detection of melanoma using two different supervised classifier algorithms, maximum likelihood ( ML) and spectral angle mapper ( SAM). SAM rests on the spectral 'angular distances' and the conventional classifier ML rests on the spectral distance concept. Results and conclusions The results show that the ML classifier was more efficient for pixel classification than SAM. However, SAM was more suitable for object classification. [ABSTRACT FROM AUTHOR]

ABSTRACT An ultrawideband (UWB) monopole antenna is designed for microwave breast imaging on a heterogeneous breast model. Antenna parameters are studied on the breast model for near and far proximity of the antenna from the breast skin. High current density has been observed for all positions and sizes of deep seated and superficial tumors keeping specific absorption rate (SAR) within limits on surrounding tissues and skin. Features of UWB and safe acceptable SAR make the antenna suitable for its intended application. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:49-54, 2015 [ABSTRACT FROM AUTHOR]

Aberrant DNA methylation is a common epigenetic alteration involved in colorectal cancer ( CRC). In our previous study, we performed methylated DNA immunoprecipitation-on-chip analysis combined with gene re-expression analysis by 5-aza-2′-deoxycytidine treatment, to identify methylation genes in CRC genome widely. Among these genes, 12 genes showed aberrant hypermethylation frequently in >75% of 149 CRC samples but did not in normal samples. In this study, we aim to find out any of these methylation genes to be utilized for CRC detection using plasma DNA samples. Primers for methylation-specific PCR and pyrosequencing were designed for seven of the 12 genes. Among them, PPP1R3C and EFHD1 were rarely hypermethylated in peripheral blood cells, but frequently hypermethylated in 24 CRC tissue samples and their corresponding plasma samples. In plasma samples, PPP1R3C was methylated in 81% (97/120) of CRC patients, but only in 19% (18/96) of noncancer patients ( P = 6 × 10−20, Fisher's exact test). In combined analysis with EFHD1, both genes were methylated in 53% (64/120) of CRC patients, but only in 4% (4/96) of noncancer patients ( P = 2 × 10−16), giving high specificity of 96%. At least one of the two genes was methylated in 90% (108/120) of CRC patients, and 36% (35/96) of control patients, giving high sensitivity of 90%. Compared with low sensitivity of carcinoembryonic antigen (17% at stage I, 40% at stage II) and CA19-9 (0% at stage I, 13% at stage II) for early-stage CRCs, sensitivity of aberrant methylation was significantly higher: PPP1R3C methylation at 92% (11/12) for stage I and 77% (23/30) for stage II, and methylation of at least one gene at 100% (12/12) for stage I and 87% (26/30) for stage II. PPP1R3C methylation or its combined use of EFHD1 methylation was highly positive in CRC plasma samples, and they might be useful in detection of CRC, especially for early-stage CRCs. [ABSTRACT FROM AUTHOR]

Early cancer detection is the central and most important factor for allowing successful treatment and resultant positive long-term patient outcomes. Recently, optical techniques have been applied to this purpose, although each has inherent limitations. In particular, Raman spectroscopy applied in the pathological diagnosis of cancerous tissues has received increasing attention, with the merit of being highly sensitive to the biochemical alterations in tissue compositions and applicable in vivo. Nevertheless, its application has been impeded by the high background intensity, which masks the Raman signal of biological molecules. In this work, the influence of laser excitation wavelength (785 vs. 830 nm) and optical mode (single mode vs. multimode) on the background intensity of fresh human tissues was studied. Based on the results, laser with 830 nm excitation demonstrated better background reduction than that with 785 nm excitation for the same optical mode, but the Raman signal intensity was conversely reduced, and the signal-to-noise ratio (SNR) not improved. In contrast, by comparing single-mode and multimode 785 nm excitations, it was shown that the single-mode laser with its smaller beam waist and beam propagation factor had better background reduction ability and an improvement of the SNRs. It is speculated that this decrease in background intensity comes from the effect of the optical mode on the Mie scattering from the biological tissue. High-quality spectra based on a careful selection of both laser excitation wavelength and optical mode will benefit Raman measurements in further research focusing on spectral interpretation and histopathological correlation ultimately aimed toward intraoperative applications. Copyright © 2014 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Personalized medicine is a modern healthcare approach where information on each person's unique clinical constitution is exploited to realize early disease intervention based on more informed medical decisions. The application of diagnostic tools in combination with measurement evaluation that can be performed in a reliable and automated fashion plays a key role in this context. As the progression of various cancer diseases and the effectiveness of their treatments are related to a varying number of tumor cells that circulate in blood, the determination of their extremely low numbers by liquid biopsy is a decisive prognostic marker. To detect and enumerate circulating tumor cells (CTCs) in a reliable and automated fashion, we apply methods from machine learning using a naive Bayesian classifier (NBC) based on a probabilistic generative mixture model. Cells are collected with a functionalized medical wire and are stained for fluorescence microscopy so that their color signature can be used for classification through the construction of Red-Green-Blue (RGB) color histograms. Exploiting the information on the fluorescence signature of CTCs by the NBC does not only allow going beyond previous approaches but also provides a method of unsupervised learning that is required for unlabeled training data. A quantitative comparison with a state-of-the-art support vector machine, which requires labeled data, demonstrates the competitiveness of the NBC method. © 2014 International Society for Advancement of Cytometry [ABSTRACT FROM AUTHOR]

Blue-gray ovoids (B- GOs) are critical dermoscopic structures in basal cell carcinomas ( BCCs) that pose a challenge for automatic detection. Due to variation in size and color, B- GOs can be easily mistaken for similar structures in benign lesions. Analysis of these structures could help further accomplish the goal of automatic BCC detection. This study introduces an efficient sector-based method for segmenting B- GOs. Four modifications of conventional region-growing techniques are presented: (i) employing a seed area rather than a seed point, (ii) utilizing fixed control limits determined from the seed area to eliminate re-calculations of previously-added regions, (iii) determining region growing criteria using logistic regression, and (iv) area analysis and expansion by sectors. Contact dermoscopy images of 68 confirmed BCCs having B- GOs were obtained. A total of 24 color features were analyzed for all B- GO seed areas. Logistic regression analysis determined blue chromaticity, followed by red variance, were the best features for discriminating B- GO edges from surrounding areas. Segmentation of malignant structures obtained an average Pratt's figure of merit of 0.397. The techniques presented here provide a non-recursive, sector-based, region-growing method applicable to any colored structure appearing in digital images. Further research using these techniques could lead to automatic detection of B- GOs in BCCs. [ABSTRACT FROM AUTHOR]

Spatial diffusion reflection (DR) measurements of gold nanorods (GNR) were recently suggested as a simple and highly sensitive non-invasive and non-ionizing method for real-time cancer detection. In this paper we demonstrate that wavelength dependent DR measurements enable the spectral red-shift observation of highly concentrated GNR. By conjugating targeting moieties to the GNR, large density of GNR can specifically home onto cancer cells. The inter-particle plasmon resonance pattern of the highly concentrated GNR leads to an extension and a red-shift (Δ λ) in the absorption spectrum of the concentrated GNR. Dark-field microscopy was used in order to measure the expected Δ λ in different GNR concentrations in vitro. Double-wavelength DR measurements of tissue-like phantoms and tumor bearing mice containing different GNR concentrations are presented. We show that the DR profile of the highly concentrated GNR directly correlate with the spectral extension and red-shift. This presented work suggests that wavelength dependent DR method can serve as a promising tool for real-time superficial tumor detection. (© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim) [ABSTRACT FROM AUTHOR]