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Journal Abstract Search

136 related items for PubMed ID: 38393403

  • 1. 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
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  • 3. Liver Steatosis Categorization on Contrast-Enhanced CT Using a Fully Automated Deep Learning Volumetric Segmentation Tool: Evaluation in 1204 Healthy Adults Using Unenhanced CT as a Reference Standard.
    Pickhardt PJ, Blake GM, Graffy PM, Sandfort V, Elton DC, Perez AA, Summers RM.
    AJR Am J Roentgenol; 2021 Aug; 217(2):359-367. PubMed ID: 32936018
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  • 4. Post-contrast CT liver attenuation alone is superior to the liver-spleen difference for identifying moderate hepatic steatosis.
    Pickhardt PJ, Blake GM, Moeller A, Garrett JW, Summers RM.
    Eur Radiol; 2024 Nov; 34(11):7041-7052. PubMed ID: 38834787
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  • 6. Biopsy-proven nonsteatotic liver in adults: estimation of reference range for difference in attenuation between the liver and the spleen at nonenhanced CT.
    Park YS, Park SH, Lee SS, Kim DY, Shin YM, Lee W, Lee SG, Yu ES.
    Radiology; 2011 Mar; 258(3):760-6. PubMed ID: 21212369
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  • 7. 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
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  • 9. 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
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  • 12. Automated Whole-Liver MRI Segmentation to Assess Steatosis and Iron Quantification in Chronic Liver Disease.
    Martí-Aguado D, Jiménez-Pastor A, Alberich-Bayarri Á, Rodríguez-Ortega A, Alfaro-Cervello C, Mestre-Alagarda C, Bauza M, Gallén-Peris A, Valero-Pérez E, Ballester MP, Gimeno-Torres M, Pérez-Girbés A, Benlloch S, Pérez-Rojas J, Puglia V, Ferrández A, Aguilera V, Escudero-García D, Serra MA, Martí-Bonmatí L.
    Radiology; 2022 Feb; 302(2):345-354. PubMed ID: 34783592
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  • 13. Comparison of CT methods for determining graft steatosis in living donor liver transplantation.
    Şeker M, Erol C, Sevmiş Ş, Saka B, Durur Karakaya A.
    Abdom Radiol (NY); 2019 Jul; 44(7):2418-2429. PubMed ID: 30937504
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  • 15. Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site retrospective study.
    Modanwal G, Al-Kindi S, Walker J, Dhamdhere R, Yuan L, Ji M, Lu C, Fu P, Rajagopalan S, Madabhushi A.
    EBioMedicine; 2022 Nov; 85():104315. PubMed ID: 36309007
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  • 16. 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
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  • 17. Automated liver volumetry and hepatic steatosis quantification with magnetic resonance imaging proton density fat fraction.
    Chang YC, Yen KC, Liang PC, Ho MC, Ho CM, Hsiao CY, Hsiao CH, Lu CH, Wu CH.
    J Formos Med Assoc; 2024 Apr 19. PubMed ID: 38643056
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  • 18. Agreement between region-of-interest- and parametric map-based hepatic proton density fat fraction estimation in adults with chronic liver disease.
    Manning PM, Hamilton G, Wang K, Park C, Hooker JC, Wolfson T, Gamst A, Haufe WM, Schlein AN, Middleton MS, Sirlin CB.
    Abdom Radiol (NY); 2017 Mar 19; 42(3):833-841. PubMed ID: 27688063
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  • 19. Assessing hepatic steatosis by magnetic resonance in potential living liver donors.
    Kuru Öz D, Ellik Z, Gürsoy Çoruh A, Adıgüzel M, Gümüşsoy M, Kiremitci S, Kırımker OE, Gökcan H, Elhan AH, Balcı D, Savaş B, Erden A, İdilman R.
    Diagn Interv Radiol; 2024 Nov 06; 30(6):351-356. PubMed ID: 38737404
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