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Journal Abstract Search
191 related items for PubMed ID: 31778964
1. Automated measurement of liver attenuation to identify moderate-to-severe hepatic steatosis from chest CT scans. Jirapatnakul A, Reeves AP, Lewis S, Chen X, Ma T, Yip R, Chin X, Liu S, Perumalswami PV, Yankelevitz DF, Crane M, Branch AD, Henschke CI. Eur J Radiol; 2020 Jan; 122():108723. PubMed ID: 31778964 [Abstract] [Full Text] [Related]
2. Utilizing fully-automated 3D organ segmentation for hepatic steatosis assessment with CT attenuation-based parameters. Yoo J, Joo I, Jeon SK, Park J, Yoon SH. Eur Radiol; 2024 Sep; 34(9):6205-6213. PubMed ID: 38393403 [Abstract] [Full Text] [Related]
4. Hepatic steatosis in participants in a program of low-dose CT screening for lung cancer. Chen X, Li K, Yip R, Perumalswami P, Branch AD, Lewis S, Del Bello D, Becker BJ, Yankelevitz DF, Henschke CI. Eur J Radiol; 2017 Sep; 94():174-179. PubMed ID: 28712697 [Abstract] [Full Text] [Related]
5. Automated hepatic steatosis assessment on dual-energy CT-derived virtual non-contrast images through fully-automated 3D organ segmentation. Jeon SK, Joo I, Park J, Yoo J. Radiol Med; 2024 Jul; 129(7):967-976. PubMed ID: 38869829 [Abstract] [Full Text] [Related]
6. Elevated prevalence of moderate-to-severe hepatic steatosis in World Trade Center General Responder Cohort in a program of CT lung screening. Chen X, Ma T, Yip R, Perumalswami PV, Branch AD, Lewis S, Crane M, Yankelevitz DF, Henschke CI. Clin Imaging; 2020 Apr; 60(2):237-243. PubMed ID: 31945662 [Abstract] [Full Text] [Related]
7. Specificity of unenhanced CT for non-invasive diagnosis of hepatic steatosis: implications for the investigation of the natural history of incidental steatosis. Pickhardt PJ, Park SH, Hahn L, Lee SG, Bae KT, Yu ES. Eur Radiol; 2012 May; 22(5):1075-82. PubMed ID: 22138733 [Abstract] [Full Text] [Related]
8. Liver Imaging Reporting and Data System: Discordance Between Computed Tomography and Gadoxetate-Enhanced Magnetic Resonance Imaging for Detection of Hepatocellular Carcinoma Major Features. Chernyak V, Flusberg M, Law A, Kobi M, Paroder V, Rozenblit AM. J Comput Assist Tomogr; 2018 May; 42(1):155-161. PubMed ID: 28806321 [Abstract] [Full Text] [Related]
9. Hepatic fat quantification in dual-layer computed tomography using a three-material decomposition algorithm. Demondion E, Ernst O, Louvet A, Robert B, Kafri G, Langzam E, Vermersch M. Eur Radiol; 2024 Jun; 34(6):3708-3718. PubMed ID: 37955671 [Abstract] [Full Text] [Related]
10. Fully automatic liver attenuation estimation combing CNN segmentation and morphological operations. Huo Y, Terry JG, Wang J, Nair S, Lasko TA, Freedman BI, Carr JJ, Landman BA. Med Phys; 2019 Aug; 46(8):3508-3519. PubMed ID: 31228267 [Abstract] [Full Text] [Related]
11. Quantification of hepatic steatosis: a comparison of computed tomography and magnetic resonance indices in candidates for living liver donation. Maruzzelli L, Parr AJ, Miraglia R, Tuzzolino F, Luca A. Acad Radiol; 2014 Apr; 21(4):507-13. PubMed ID: 24594420 [Abstract] [Full Text] [Related]
12. Validation of water-fat MRI and proton MRS in assessment of hepatic fat and the heterogeneous distribution of hepatic fat and iron in subjects with non-alcoholic fatty liver disease. Hui SCN, So HK, Chan DFY, Wong SKH, Yeung DKW, Ng EKW, Chu WCW. Eur J Radiol; 2018 Oct; 107():7-13. PubMed ID: 30292275 [Abstract] [Full Text] [Related]
13. Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV. Torgersen J, Akers S, Huo Y, Terry JG, Carr JJ, Ruutiainen AT, Skanderson M, Levin W, Lim JK, Taddei TH, So-Armah K, Bhattacharya D, Rentsch CT, Shen L, Carr R, Shinohara RT, McClain M, Freiberg M, Justice AC, Lo Re V. Pharmacoepidemiol Drug Saf; 2023 Oct; 32(10):1121-1130. PubMed ID: 37276449 [Abstract] [Full Text] [Related]
14. Technical challenges of quantitative chest MRI data analysis in a large cohort pediatric study. Nguyen AH, Perez-Rovira A, Wielopolski PA, Hernandez Tamames JA, Duijts L, de Bruijne M, Aliverti A, Pennati F, Ivanovska T, Tiddens HAWM, Ciet P. Eur Radiol; 2019 Jun; 29(6):2770-2782. PubMed ID: 30519932 [Abstract] [Full Text] [Related]
15. Dose-reduced CT with model-based iterative reconstruction in evaluations of hepatic steatosis: how low can we go? Yasaka K, Katsura M, Akahane M, Sato J, Matsuda I, Ohtomo K. Eur J Radiol; 2014 Jul; 83(7):1063-1068. PubMed ID: 24775685 [Abstract] [Full Text] [Related]
16. Hepatic steatosis (fatty liver disease) in asymptomatic adults identified by unenhanced low-dose CT. Boyce CJ, Pickhardt PJ, Kim DH, Taylor AJ, Winter TC, Bruce RJ, Lindstrom MJ, Hinshaw JL. AJR Am J Roentgenol; 2010 Mar; 194(3):623-8. PubMed ID: 20173137 [Abstract] [Full Text] [Related]
17. CT indices for the diagnosis of hepatic steatosis using non-enhanced CT images: development and validation of diagnostic cut-off values in a large cohort with pathological reference standard. Byun J, Lee SS, Sung YS, Shin Y, Yun J, Kim HS, Yu ES, Lee SG, Lee MG. Eur Radiol; 2019 Aug; 29(8):4427-4435. PubMed ID: 30569183 [Abstract] [Full Text] [Related]
18. Detection of Moderate Hepatic Steatosis on Portal Venous Phase Contrast-Enhanced CT: Evaluation Using an Automated Artificial Intelligence Tool. Pickhardt PJ, Blake GM, Kimmel Y, Weinstock E, Shaanan K, Hassid S, Abbas A, Fox MA. AJR Am J Roentgenol; 2023 Dec; 221(6):748-758. PubMed ID: 37466185 [Abstract] [Full Text] [Related]
19. Unenhanced CT for assessment of macrovesicular hepatic steatosis in living liver donors: comparison of visual grading with liver attenuation index. Lee SW, Park SH, Kim KW, Choi EK, Shin YM, Kim PN, Lee KH, Yu ES, Hwang S, Lee SG. Radiology; 2007 Aug; 244(2):479-85. PubMed ID: 17641368 [Abstract] [Full Text] [Related]