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3. Carotid artery assessment in dual-source photon-counting CT: impact of low-energy virtual monoenergetic imaging on image quality, vascular contrast and diagnostic assessability

Author

Booz, Christian, Bucolo, Giuseppe M., D’Angelo, Tommaso, Mazziotti, Silvio, Lanzafame, Ludovica R. M., Yel, Ibrahim, Alizadeh, Leona S., Gruenewald, Leon D., Koch, Vitali, Martin, Simon S., Dimitrova, Mirela, Goekduman, Aynur, Vogl, Thomas J., Kaatsch, Hanns L., Overhoff, Daniel, and Waldeck, Stephan

Published
2024
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7. Requirements-Team Assignment Model that Ensures Balanced Workload with Differences in Skills in Agile Organizations

Author

Yel, İbrahim, Baysal, Mehmet Emin, Sarucan, Ahmet, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kahraman, Cengiz, editor, Cevik Onar, Sezi, editor, Cebi, Selcuk, editor, Oztaysi, Basar, editor, Tolga, A. Cagrı, editor, and Ucal Sari, Irem, editor

Published
2024
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13. Multiparametric detection and outcome prediction of pancreatic cancer involving dual-energy CT, diffusion-weighted MRI, and radiomics

Author

Koch, Vitali, Weitzer, Nils, Dos Santos, Daniel Pinto, Gruenewald, Leon D., Mahmoudi, Scherwin, Martin, Simon S., Eichler, Katrin, Bernatz, Simon, Gruber-Rouh, Tatjana, Booz, Christian, Hammerstingl, Renate M., Biciusca, Teodora, Rosbach, Nicolas, Gökduman, Aynur, D’Angelo, Tommaso, Finkelmeier, Fabian, Yel, Ibrahim, Alizadeh, Leona S., Sommer, Christof M., Cengiz, Duygu, Vogl, Thomas J., and Albrecht, Moritz H.

Published
2023
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14. An Application for Selecting and Evaluating Organization Based KPIs with Fuzzy MCDM in a Large-Scale Organization Operating in the IT Sector

Author

Yel, İbrahim, Baysal, Mehmet Emin, Sarucan, Ahmet, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kahraman, Cengiz, editor, Sari, Irem Ucal, editor, Oztaysi, Basar, editor, Cebi, Selcuk, editor, Cevik Onar, Sezi, editor, and Tolga, A. Çağrı, editor

Published
2023
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15. An Application with Fuzzy AHP for Making the Assignment Aimed at the Holistic Benefit Over the Person Evaluation as Required by the Requirements and Evaluations of Individuals

Author

Yel, İbrahim, Şahin, Hilal, Baysal, Mehmet Emin, Sarucan, Ahmet, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kahraman, Cengiz, editor, Sari, Irem Ucal, editor, Oztaysi, Basar, editor, Cebi, Selcuk, editor, Cevik Onar, Sezi, editor, and Tolga, A. Çağrı, editor

Published
2023
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17. Multiparametric Evaluation of Radiomics Features and Dual-Energy CT Iodine Maps for Discrimination and Outcome Prediction of Thymic Masses

Author

Mahmoudi, Scherwin, Gruenewald, Leon D., Eichler, Katrin, Althoff, Friederike C., Martin, Simon S., Bernatz, Simon, Booz, Christian, Yel, Ibrahim, Kinzler, Maximilian N., Ziegengeist, Nicole Suarez, Torgashov, Katerina, Mohammed, Hanin, Geyer, Tobias, Scholtz, Jan-Erik, Hammerstingl, Renate M., Weber, Christophe, Hardt, Stefan E., Sommer, Christof M., Gruber-Rouh, Tatjana, Leistner, David M., Vogl, Thomas J., and Koch, Vitali

Published
2023
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22. Structured Reporting

Author

D’Angelo, Tommaso, Vogl, Thomas J., Martin, Simon S., Yel, Ibrahim, Booz, Christian, Mazziotti, Silvio, editor, Blandino, Alfredo, editor, and Cicero, Giuseppe, editor

Published
2022
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23. Determination of Competencies with Fuzzy Multi-criteria Decision Making Methods for Determining the Development Program for Analyst Position in a Participation Bank

Author

Yel, İbrahim, Sarucan, Ahmet, Baysal, Mehmet Emin, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kahraman, Cengiz, editor, Tolga, A. Cagri, editor, Cevik Onar, Sezi, editor, Cebi, Selcuk, editor, Oztaysi, Basar, editor, and Sari, Irem Ucal, editor

Published
2022
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24. An Application of Fuzzy AHP, EDAS and WASPAS for the Selection of Process Method in Software Projects

Author

Yel, İbrahim, Sarucan, Ahmet, Baysal, Mehmet Emin, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kahraman, Cengiz, editor, Cebi, Selcuk, editor, Cevik Onar, Sezi, editor, Oztaysi, Basar, editor, Tolga, A. Cagri, editor, and Sari, Irem Ucal, editor

Published
2022
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26. Diagnostic accuracy of quantitative dual-energy CT-based volumetric bone mineral density assessment for the prediction of osteoporosis-associated fractures

Author

Gruenewald, Leon D., Koch, Vitali, Martin, Simon S., Yel, Ibrahim, Eichler, Katrin, Gruber-Rouh, Tatjana, Lenga, Lukas, Wichmann, Julian L., Alizadeh, Leona S., Albrecht, Moritz H., Mader, Christoph, Huizinga, Nicole A., D’Angelo, Tommaso, Mazziotti, Silvio, Wesarg, Stefan, Vogl, Thomas J., and Booz, Christian

Published
2022
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28. Lung Opacity and Coronary Artery Calcium Score: A Combined Tool for Risk Stratification and Outcome Prediction in COVID-19 Patients

Author

Koch, Vitali, Gruenewald, Leon D., Albrecht, Moritz H., Eichler, Katrin, Gruber-Rouh, Tatjana, Yel, Ibrahim, Alizadeh, Leona S., Mahmoudi, Scherwin, Scholtz, Jan-Erik, Martin, Simon S., Lenga, Lukas, Vogl, Thomas J., Nour-Eldin, Nour-Eldin A., Bienenfeld, Florian, Hammerstingl, Renate M., Graf, Christiana, Sommer, Christof M., Hardt, Stefan E., Mazziotti, Silvio, Ascenti, Giorgio, Versace, Giovanni Antonio, D'Angelo, Tommaso, and Booz, Christian

Published
2022
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31. Diagnostic accuracy of color-coded virtual noncalcium reconstructions derived from portal venous phase dual-energy CT in the assessment of lumbar disk herniation

Author

Koch, Vitali, Albrecht, Moritz H., Gruenewald, Leon D., Yel, Ibrahim, Eichler, Katrin, Gruber-Rouh, Tatjana, Hammerstingl, Renate M., Burck, Iris, Wichmann, Julian L., Alizadeh, Leona S., Vogl, Thomas J., Lenga, Lukas, Mader, Christoph, Martin, Simon S., Mazziotti, Silvio, D’Angelo, Tommaso, and Booz, Christian

Published
2022
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33. Therapy Response and Survival among Patients with Gynecologic Tumors Treated with Transarterial Chemoperfusion and Transarterial Chemoembolization.

Author

Vogl, Thomas J., Nica, Andreea I., Booz, Christian, Alizadeh, Leona S., Becker, Sven, Yel, Ibrahim, Biciusca, Teodora, Gökduman, Aynur, Dimitrova, Mirela, Wolfram, Christian, Gruber-Rouh, Tatjana, Bielfeldt, John, and Adwan, Hamzah

Abstract

Background and Objectives: This study aimed to evaluate the tumor response relating to and survival benefit of transarterial chemoperfusion (TACP) and transarterial chemoembolization (TACE) in the treatment of patients with unresectable gynecologic tumors who are intolerant of or have a suboptimal response to chemotherapy and radiotherapy. Materials and Methods: Between January 2000 and October 2023, 75 patients diagnosed with gynecologic tumors underwent 213 TACP and 154 TACE procedures. Of these, 33 patients were treated with TACP, 20 were treated with TACE, and 22 received a combination of both therapies. A retrospective evaluation of local tumor response according to Response Evaluation Criteria in Solid Tumors (RECIST) was conducted, and survival rates were determined using the Kaplan–Meier estimator. Results: Of the total 75 patients, 50 (67%) maintained a stable course of disease until the completion of therapy, 10 (13%) had a partial response, 2 (3%) had a complete response following thermal ablation, and 13 (17%) experienced progression. Furthermore, a 6% reduction in the sum of the longest diameters and an 8% reduction in tumor volume were observed. The median overall survival was 16.15 months, while the median progression-free survival was 13.19 months. Conclusions: TACP and TACE are potential treatment options for local tumor control in patients with unresectable gynecologic tumors who are intolerant of or show a poor response to chemotherapy and radiotherapy. However, further investigation and adjustment of treatment protocols are required to improve therapy response and survival outcomes. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Accuracy and time efficiency of a novel deep learning algorithm for Intracranial Hemorrhage detection in CT Scans.

Author

D'Angelo, Tommaso, Bucolo, Giuseppe M., Kamareddine, Tarek, Yel, Ibrahim, Koch, Vitali, Gruenewald, Leon D., Martin, Simon, Alizadeh, Leona S., Mazziotti, Silvio, Blandino, Alfredo, Vogl, Thomas J., and Booz, Christian

Abstract

Purpose: To evaluate a deep learning-based pipeline using a Dense-UNet architecture for the assessment of acute intracranial hemorrhage (ICH) on non-contrast computed tomography (NCCT) head scans after traumatic brain injury (TBI). Materials and methods: This retrospective study was conducted using a prototype algorithm that evaluated 502 NCCT head scans with ICH in context of TBI. Four board-certified radiologists evaluated in consensus the CT scans to establish the standard of reference for hemorrhage presence and type of ICH. Consequently, all CT scans were independently analyzed by the algorithm and a board-certified radiologist to assess the presence and type of ICH. Additionally, the time to diagnosis was measured for both methods. Results: A total of 405/502 patients presented ICH classified in the following types: intraparenchymal (n = 172); intraventricular (n = 26); subarachnoid (n = 163); subdural (n = 178); and epidural (n = 15). The algorithm showed high diagnostic accuracy (91.24%) for the assessment of ICH with a sensitivity of 90.37% and specificity of 94.85%. To distinguish the different ICH types, the algorithm had a sensitivity of 93.47% and a specificity of 99.79%, with an accuracy of 98.54%. To detect midline shift, the algorithm had a sensitivity of 100%. In terms of processing time, the algorithm was significantly faster compared to the radiologist's time to first diagnosis (15.37 ± 1.85 vs 277 ± 14 s, p < 0.001). Conclusion: A novel deep learning algorithm can provide high diagnostic accuracy for the identification and classification of ICH from unenhanced CT scans, combined with short processing times. This has the potential to assist and improve radiologists' ICH assessment in NCCT scans, especially in emergency scenarios, when time efficiency is needed. [ABSTRACT FROM AUTHOR]

Published
2024
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35. Standardization of Dual-Energy CT Iodine Uptake of the Abdomen and Pelvis: Defining Reference Values in a Big Data Cohort.

Author

Yel, Ibrahim, Booz, Christian, D'Angelo, Tommaso, Koch, Vitali, Gruenewald, Leon D., Eichler, Katrin, Gökduman, Aynur, Giardino, Davide, Gaeta, Michele, Mazziotti, Silvio, Herrmann, Eva, Vogl, Thomas J., Mahmoudi, Scherwin, and Lanzafame, Ludovica R. M.

Subjects
*CONTRAST media, *ABDOMINAL aorta, *COMPUTED tomography, *ABSOLUTE value, *REFERENCE values
Abstract

Background: To establish dual-energy-derived iodine density reference values in abdominopelvic organs in a large cohort of healthy subjects. Methods: 597 patients who underwent portal venous phase dual-energy CT scans of the abdomen were retrospectively enrolled. Iodine distribution maps were reconstructed, and regions of interest measurements were placed in abdominal and pelvic structures to obtain absolute iodine values. Subsequently, normalization of the abdominal aorta was conducted to obtain normalized iodine ratios. The values obtained were subsequently analyzed and differences were investigated in subgroups defined by sex, age and BMI. Results: Overall mean iodine uptake values and normalized iodine ratios ranged between 0.31 and 6.08 mg/mL and 0.06 and 1.20, respectively. Women exhibited higher absolute iodine concentration across all organs. With increasing age, normalized iodine ratios mostly tend to decrease, being most significant in the uterus, prostate, and kidneys (p < 0.015). BMI was the parameter less responsible for variations in iodine concentrations; normal weighted patients demonstrated higher values of both absolute and normalized iodine. Conclusions: Iodine concentration values and normalized iodine ratios of abdominal and pelvic organs reveal significant gender-, age-, and BMI-related differences, underscoring the necessity to integrate these variables into clinical practice. [ABSTRACT FROM AUTHOR]

Published
2024
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37. Comprehensive comparison of three different workstations for accurate planning of endovascular stent implantation in patients with thoracic aortic aneurysms

Author

Koch, Vitali, Loos, Gerald, Gruenewald, Leon D., Eichler, Katrin, Booz, Christian, D’Angelo, Tommaso, Yel, Ibrahim, Mahmoudi, Scherwin, Martin, Simon S., Harth, Marc, Albrecht, Moritz H., Zangos, Stephan, Bernatz, Simon, Thalhammer, Axel, Scholtz, Jan-Erik, Vogl, Thomas J., and Gruber-Rouh, Tatjana

Published
2022
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41. Predictive Value of Dual-Energy CT-Derived Metrics for the Use of Bone Substitutes in Distal Radius Fracture Surgery

Author

Reschke, Philipp, primary, Koch, Vitali, additional, Mahmoudi, Scherwin, additional, Booz, Christian, additional, Yel, Ibrahim, additional, Gotta, Jennifer, additional, Stahl, Adrian, additional, Reschke, Robin, additional, Scholtz, Jan-Erik, additional, Martin, Simon S., additional, Gruber-Rouh, Tatjana, additional, Eichler, Katrin, additional, Vogl, Thomas J., additional, and Gruenewald, Leon D., additional

Published
2024
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44. Project and Analyst and Software Engineer Ranking and Job Assignment Problem Solution in Software Development Projects with Fuzzy Multi Criteria Decision Making Techniques

Author

Yel, İbrahim, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Kahraman, Cengiz, editor, Cebi, Selcuk, editor, Cevik Onar, Sezi, editor, Oztaysi, Basar, editor, Tolga, A. Cagri, editor, and Sari, Irem Ucal, editor

Published
2020
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47. Dual-Energy CT Material Decomposition:The Value in the Detection of Lymph Node Metastasis from Breast Cancer

Author

Yel, Ibrahim, D’Angelo, Tommaso, Gruenewald, Leon D., Koch, Vitali, Golbach, Rejane, Mahmoudi, Scherwin, Ascenti, Giorgio, Blandino, Alfredo, Vogl, Thomas J., Booz, Christian, Bucolo, Giuseppe M., Yel, Ibrahim, D’Angelo, Tommaso, Gruenewald, Leon D., Koch, Vitali, Golbach, Rejane, Mahmoudi, Scherwin, Ascenti, Giorgio, Blandino, Alfredo, Vogl, Thomas J., Booz, Christian, and Bucolo, Giuseppe M.

Abstract

Purpose: To evaluate the diagnostic performance of a dual-energy computed tomography (DECT)-based material decomposition algorithm for iodine quantification and fat fraction analysis to detect lymph node metastases in breast cancer patients. Materials and Methods: 30 female patients (mean age, 63.12 ± 14.2 years) diagnosed with breast cancer who underwent pre-operative chest DECT were included. To establish a reference standard, the study correlated histologic repots after lymphadenectomy or confirming metastasis in previous/follow-up examinations. Iodine concentration and fat fraction were determined through region-of-interest measurements on venous DECT iodine maps. Receiver operating characteristic curve analysis was conducted to identify the optimal threshold for differentiating between metastatic and non-metastatic lymph nodes. Results: A total of 168 lymph nodes were evaluated, divided into axillary (metastatic: 46, normal: 101) and intramammary (metastatic: 10, normal: 11). DECT-based fat fraction values exhibited significant differences between metastatic (9.56 ± 6.20%) and non-metastatic lymph nodes (41.52 ± 19.97%) (p < 0.0001). Absolute iodine concentrations showed no significant differences (2.25 ± 0.97 mg/mL vs. 2.08 ± 0.97 mg/mL) (p = 0.7999). The optimal fat fraction threshold for diagnosing metastatic lymph nodes was determined to be 17.75%, offering a sensitivity of 98% and a specificity of 94%. Conclusions: DECT fat fraction analysis emerges as a promising method for identifying metastatic lymph nodes, overcoming the morpho-volumetric limitations of conventional CT regarding lymph node assessment. This innovative approach holds potential for improving pre-operative lymph node evaluation in breast cancer patients, offering enhanced diagnostic accuracy.

Published
2024

49. Optimization of window settings for coronary arteries assessment using spectral CT-derived virtual monoenergetic imaging.

Author

D'Angelo, Tommaso, Mastrodicasa, Domenico, Lanzafame, Ludovica R. M., Yel, Ibrahim, Koch, Vitali, Gruenewald, Leon D., Sharma, Simran P., Ascenti, Velio, Micari, Antonino, Blandino, Alfredo, Vogl, Thomas J., Mazziotti, Silvio, Budde, Ricardo P. J., and Booz, Christian

Abstract

Purpose: To determine the optimal window setting for virtual monoenergetic images (VMI) reconstructed from dual-layer spectral coronary computed tomography angiography (DE-CCTA) datasets. Material and methods: 50 patients (30 males; mean age 61.1 ± 12.4 years who underwent DE-CCTA from May 2021 to June 2022 for suspected coronary artery disease, were retrospectively included. Image quality assessment was performed on conventional images and VMI reconstructions at 70 and 40 keV. Objective image quality was assessed using contrast-to-noise ratio (CNR). Two independent observers manually identified the best window settings (B-W/L) for VMI 70 and VMI 40 visualization. B-W/L were then normalized with aortic attenuation using linear regression analysis to obtain the optimized W/L (O-W/L) settings. Additionally, subjective image quality was evaluated using a 5-point Likert scale, and vessel diameters were measured to examine any potential impact of different W/L settings. Results: VMI 40 demonstrated higher CNR values compared to conventional and VMI 70. B-W/L settings identified were 1180/280 HU for VMI 70 and 3290/900 HU for VMI 40. Subsequent linear regression analysis yielded O-W/L settings of 1155/270 HU for VMI 70 and 3230/880 HU for VMI 40. VMI 40 O-W/L received the highest scores for each parameter compared to conventional (all p < 0.0027). Using O-W/L settings for VMI 70 and VMI 40 did not result in significant differences in vessel measurements compared to conventional images. Conclusion: Optimization of VMI requires adjustments in W/L settings. Our results recommend W/L settings of 1155/270 HU for VMI 70 and 3230/880 HU for VMI 40. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features

Author

Bernatz, Simon, Ackermann, Jörg, Mandel, Philipp, Kaltenbach, Benjamin, Zhdanovich, Yauheniya, Harter, Patrick N., Döring, Claudia, Hammerstingl, Renate, Bodelle, Boris, Smith, Kevin, Bucher, Andreas, Albrecht, Moritz, Rosbach, Nicolas, Basten, Lajos, Yel, Ibrahim, Wenzel, Mike, Bankov, Katrin, Koch, Ina, Chun, Felix K.-H., Köllermann, Jens, Wild, Peter J., and Vogl, Thomas J.

Published
2020
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