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1. GIMAP5 deficiency reveals a mammalian ceramide-driven longevity assurance pathway

Author

Park, Ann Y., Leney-Greene, Michael, Lynberg, Matthew, Gabrielski, Justin Q., Xu, Xijin, Schwarz, Benjamin, Zheng, Lixin, Balasubramaniyam, Arasu, Ham, Hyoungjun, Chao, Brittany, Zhang, Yu, Matthews, Helen F., Cui, Jing, Yao, Yikun, Kubo, Satoshi, Chanchu, Jean Michel, Morawski, Aaron R., Cook, Sarah A., Jiang, Ping, Ravell, Juan C., Cheng, Yan H., George, Alex, Faruqi, Aiman, Pagalilauan, Alison M., Bergerson, Jenna R. E., Ganesan, Sundar, Chauvin, Samuel D., Aluri, Jahnavi, Edwards-Hicks, Joy, Bohrnsen, Eric, Tippett, Caroline, Omar, Habib, Xu, Leilei, Butcher, Geoffrey W., Pascall, John, Karakoc-Aydiner, Elif, Kiykim, Ayca, Maecker, Holden, Tezcan, İlhan, Esenboga, Saliha, Heredia, Raul Jimenez, Akata, Deniz, Tekin, Saban, Kara, Altan, Kuloglu, Zarife, Unal, Emel, Kendirli, Tanıl, Dogu, Figen, Karabiber, Esra, Atkinson, T. Prescott, Cochet, Claude, Filhol, Odile, Bosio, Catherine M., Davis, Mark M., Lifton, Richard P., Pearce, Erika L., Daumke, Oliver, Aytekin, Caner, Şahin, Gülseren Evirgen, Aksu, Aysel Ünlüsoy, Uzel, Gulbu, Koneti Rao, V., Sari, Sinan, Dalgıç, Buket, Boztug, Kaan, Cagdas, Deniz, Haskologlu, Sule, Ikinciogullari, Aydan, Schwefel, David, Vilarinho, Silvia, Baris, Safa, Ozen, Ahmet, Su, Helen C., and Lenardo, Michael J.

Published
2024
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4. Author Correction: GIMAP5 deficiency reveals a mammalian ceramide-driven longevity assurance pathway

Author

Park, Ann Y., Leney-Greene, Michael, Lynberg, Matthew, Gabrielski, Justin Q., Xu, Xijin, Schwarz, Benjamin, Zheng, Lixin, Balasubramaniyam, Arasu, Ham, Hyoungjun, Chao, Brittany, Zhang, Yu, Matthews, Helen F., Cui, Jing, Yao, Yikun, Kubo, Satoshi, Chanchu, Jean Michel, Morawski, Aaron R., Cook, Sarah A., Jiang, Ping, Ravell, Juan C., Cheng, Yan H., George, Alex, Faruqi, Aiman, Pagalilauan, Alison M., Bergerson, Jenna R. E., Ganesan, Sundar, Chauvin, Samuel D., Aluri, Jahnavi, Edwards-Hicks, Joy, Bohrnsen, Eric, Tippett, Caroline, Omar, Habib, Xu, Leilei, Butcher, Geoffrey W., Pascall, John, Karakoc-Aydiner, Elif, Kiykim, Ayca, Maecker, Holden, Tezcan, İlhan, Esenboga, Saliha, Heredia, Raul Jimenez, Akata, Deniz, Tekin, Saban, Kara, Altan, Kuloglu, Zarife, Unal, Emel, Kendirli, Tanıl, Dogu, Figen, Karabiber, Esra, Atkinson, T. Prescott, Cochet, Claude, Filhol, Odile, Bosio, Catherine M., Davis, Mark M., Lifton, Richard P., Pearce, Erika L., Daumke, Oliver, Aytekin, Caner, Şahin, Gülseren Evirgen, Aksu, Aysel Ünlüsoy, Uzel, Gulbu, Koneti Rao, V., Sari, Sinan, Dalgıç, Buket, Boztug, Kaan, Cagdas, Deniz, Haskologlu, Sule, Ikinciogullari, Aydan, Schwefel, David, Vilarinho, Silvia, Baris, Safa, Ozen, Ahmet, Su, Helen C., and Lenardo, Michael J.

Published
2024
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7. Inflammatory Liver Diseases

Author

İdilman, İlkay S., Akata, Deniz, Karçaaltıncaba, Muşturay, Kauczor, Hans-Ulrich, Series Editor, Parizel, Paul M., Series Editor, Peh, Wilfred C. G., Series Editor, Brady, Luther W., Honorary Editor, Lu, Jiade J., Series Editor, and Quaia, Emilio, editor

Published
2021
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9. International survey on residency programs in radiology: similarities and differences among 17 countries

Author

Sosna, Jacob, Pyatigorskaya, Nadya, Krestin, Gabriel, Denton, Erika, Stanislav, Kim, Morozov, Sergey, Kumamaru, Kanako Kunishima, Jankharia, Bhavin, Mildenberger, Peter, Forster, Bruce, Schouman-Clayes, Elizabeth, Bradey, Adrian, Akata, Deniz, Brkljacic, Boris, Grassi, Roberto, Plako, Andras, Papanagiotou, Haris, Maksimović, Ružica, and Lexa, Frank

Published
2021
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15. MR Imaging of Ovarian Masses

Author

Karaosmanoğlu, Ali Devrim, Karcaaltıncaba, Musturay, Özmen, Mustafa N., Akata, Deniz, Akata, Deniz, editor, and Papanikolaou, Nikolaos, editor

Published
2018
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22. Over Tümörlerinde Görüntüleme.

Author

Sarıkaya, Sevtap Arslan and Akata, Deniz

Subjects
MAGNETIC resonance imaging, CROSS-sectional imaging, ULTRASONIC imaging, OVARIAN tumors, CLASSIFICATION
Abstract

Copyright of Türk Radyoloji Seminerleri is the property of Galenos Yayinevi Tic. LTD. STI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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23. Long-term follow-up results of multiparametric prostate MRI and the prognostic value of PI-RADS: a single-center retrospective cohort study.

Author

Önder, Ömer, Ayva, Müjdat, Yaraşır, Yasin, Gürler, Volkan, Yazıcı, Mustafa Sertaç, Akdoğan, Bülent, Karaosmanoğlu, Ali Devrim, Karçaaltıncaba, Muşturay, Özmen, Mustafa Nasuh, and Akata, Deniz

Subjects
PROSTATE cancer, MAGNETIC resonance imaging of cancer, CANCER diagnosis, TERTIARY care, HISTOPATHOLOGY
Abstract

PURPOSE: We aim to examine the long-term outcomes of patients who underwent multiparametric prostate magnetic resonance imaging (mp-MRI) for suspected prostate cancer (PCa), specifically based on their initial Prostate Imaging Reporting and Data System (PI-RADS) categories and various clinical factors. Our secondary aim is to evaluate the prognostic value of the PI-RADS through the National Comprehensive Cancer Network (NCCN) risk group distribution. METHODS: This research was conducted as a single-center retrospective cohort study in a tertiary care hospital. A total of 1,359 cases having at least one histopathological examination after the initial mp-MRI and/or adequate clinical/radiological follow-up data were included in the clinically significant PCa (cs-PCa) diagnosis-free survival analysis. Initial mp-MRI dates were accepted as the start of follow-up for the time-to-event analysis. The event was defined as cs-PCa diagnosis (International Society of Urological Pathology =2). Patients who were not diagnosed with cs-PCa during follow-up were censored according to predefined literature-based criteria at the end of the maximum follow-up duration with no reasonable suspicion of PCa and no biopsy indication. The impact of various factors on survival was assessed using a log-rank test and multivariable Cox regression. Subsequently, 394 cases diagnosed with PCa during follow-up were evaluated, based on initial PI-RADS categories and NCCN risk groups. RESULTS: Three main risk factors for cs-PCa diagnosis during follow-up were an initial PI-RADS 5 category, initial PI-RADS 4 category, and high MRI-defined PSA density (mPSAD), with average hazard ratios of 29.52, 14.46, and 3.12, respectively. The PI-RADS 3 category, advanced age group, and biopsy-naïve status were identified as additional risk factors (hazard ratios: 2.03, 1.54-1.98, and 1.79, respectively). In the PI-RADS 1-2 cohort, 1, 3, and 5-year cs-PCa diagnosis-free survival rates were 99.1%, 96.5%, and 93.8%, respectively. For the PI-RADS 3 cohort, 1, 3, and 5-year cs-PCa diagnosis-free survival rates were 94.9%, 90.9%, and 89.1%, respectively. For the PI-RADS 4 cohort, 1, 3, and 5-year cs-PCa diagnosis-free survival rates were 56.6%, 55.1%, and 55.1%, respectively. These rates were found to all be 24.2% in the PI-RADS 5 cohort. Considering the 394 cases diagnosed with PCa during follow-up, PI-RADS =4 cases were more likely to harbor unfavorable PCa compared to PI-RADS =3 cases (P < 0.001). In the PI-RADS 3 subgroup analysis, a low mPSAD (<0.15 ng/mL2) was found to be a protective prognostic factor against unfavorable PCa (P = 0.005). CONCLUSION: The PI-RADS category has a significant impact on patient management and provides important diagnostic and prognostic information. Higher initial PI-RADS categories are associated with decreased follow-up losses, a shorter time to PCa diagnosis, increased biopsy rates, a higher likelihood of developing cs-PCa during follow-up, and a worse PCa prognosis. Combining mPSAD with PIRADS categories could enhance diagnostic stratification in the identification of cs-PCa. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Long-term follow-up results of multiparametric prostate MRI and the prognostic value of PI-RADS: a single-center retrospective cohort study

Author

Önder, Ömer, primary, Ayva, Müjdat, additional, Yaraşır, Yasin, additional, Gürler, Volkan, additional, Yazıcı, Mustafa Sertaç, additional, Akdoğan, Bülent, additional, Karaosmanoğlu, Ali Devrim, additional, Karçaaltıncaba, Muşturay, additional, Özmen, Mustafa Nasuh, additional, and Akata, Deniz, additional

Published
2023
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37. Nonalcoholic Fatty Liver Disease, Liver Fibrosis, and Utility of Noninvasive Scores in Patients With Acromegaly.

Author

Eroğlu, İmdat, Iremli, Burcin Gonul, Idilman, Ilkay S, Yuce, Deniz, Lay, Incilay, Akata, Deniz, and Erbas, Tomris

Subjects
FATTY liver, ACROMEGALY, BODY mass index
Abstract

Context Nonalcoholic fatty liver disease (NAFLD) is a metabolical disorder and can lead to liver fibrosis. Because it is commonly seen, several noninvasive scores (NS) have been validated to identify high-risk patients. Patients with NAFLD have been shown to have higher serum angiopoietin-like protein-8 (ANGPTL-8) levels. Objective The risk of NAFLD is known insufficiently in acromegaly. Moreover, the utility of the NS and the link between NAFLD and ANGPTL-8 in acromegaly is unknown. Methods Thirty-two patients with acromegaly (n = 15, active [AA] and n = 17, controlled acromegaly [CA]) and 19 healthy controls were included. Magnetic resonance imaging (MRI)-proton density fat fraction (PDFF) was used to evaluate hepatic steatosis, and magnetic resonance elastography to evaluate liver stiffness measurement. ANGPTL-8 levels were measured with ELISA. Results Median liver MRI-PDFF and NAFLD prevalence in AA were lower than in CA (P =.026 and P <.001, respectively). Median magnetic resonance elastography-liver stiffness measurement were similar across groups. Of the NS, visceral adiposity index, fatty liver index, hepatic steatosis index, and triglyceride-glucose index (TyG) all showed positive correlation with the liver MRI-PDFF in the control group. However, only TyG significantly correlated with liver fat in the AA and CA groups. There was no correlation between traditional NAFLD risk factors (body mass index, waist circumference, C-reactive protein, homeostasis model assessment for insulin resistance, visceral adipose tissue) and liver MRI-PDFF in the AA and CA. Patients with acromegaly with NAFLD had lower GH, IGF-1, and ANGPTL-8 levels than in those without NAFLD (P =.025, P =.011, and P =.036, respectively). Conclusion Active acromegaly may protect from NAFLD because of high GH. In patients with acromegaly, NAFLD risk cannot be explained with classical risk factors; hence, additional risk factors must be identified. TyG is the best score to evaluate NAFLD risk. Lower ANGPTL-8 in patients with acromegaly and NAFLD implies this hormone may be raised because of insulin resistance rather than being a cause for NAFLD. [ABSTRACT FROM AUTHOR]

Published
2024
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49. Ovarian Carcinoma Presenting With a Large Cervical Mass

Author

Yilmaz, Melek Tugce, primary, Gurlek, Ezgi, additional, Gultekin, Melis, additional, Kahraman, Korhan, additional, Salman, Mehmet C, additional, Usubutun, Alp, additional, Akata, Deniz, additional, Lay Ergun, Eser, additional, Arik, Zafer, additional, and Yildiz, Ferah, additional

Published
2022
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