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HomeRadiologyVol. 311, No. 1 PreviousNext Reviews and CommentaryEditorialB-mode US and Deep Learning Rivals Shear-Wave Elastography in Screening for FibrosisAdarsh Ghosh Adarsh Ghosh Author AffiliationsFrom the Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH 45229.Address correspondence to the author (email: [email protected]).Adarsh Ghosh Published Online:Apr 23 2024https://doi.org/10.1148/radiol.240868See also the article by Chen and Huang et al in this issue.MoreSectionsFull textPDF ToolsAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookXLinked In References1. Lackner C, Tiniakos D. Fibrosis and alcohol-related liver disease. J Hepatol 2019;70(2):294–304. Crossref, Medline, Google Scholar2. Davison BA, Harrison SA, Cotter G, et al. Suboptimal reliability of liver biopsy evaluation has implications for randomized clinical trials. J Hepatol 2020;73(6):1322–1332. Crossref, Medline, Google Scholar3. European Association for the Study of the Liver. EASL Clinical Practice Guidelines on non-invasive tests for evaluation of liver disease severity and prognosis – 2021 update. J Hepatol 2021;75(3):659–689. Crossref, Medline, Google Scholar4. Huber A, Ebner L, Heverhagen JT, Christe A. State-of-the-art imaging of liver fibrosis and cirrhosis: a comprehensive review of current applications and future perspectives. Eur J Radiol Open 2015;2:90–100. Crossref, Medline, Google Scholar5. Anteby R, Klang E, Horesh N, et al. Deep learning for noninvasive liver fibrosis classification: a systematic review. Liver Int 2021;41(10):2269–2278. Crossref, Medline, Google Scholar6. Lee JH, Joo I, Kang TW, et al. Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network. Eur Radiol 2020;30(2):1264–1273. Crossref, Medline, Google Scholar7. Chen LD, Huang ZR, Yang H, et al. US-based sequential algorithm integrating an AI model for advanced liver fibrosis screening. Radiology 2024;311(1):e231461. Google Scholar8. Ferraioli G, Filice C, Castera L, et al. WFUMB guidelines and recommendations for clinical use of ultrasound elastography: part 3: liver. Ultrasound Med Biol 2015;41(5):1161–1179. Crossref, Medline, Google Scholar9. Pickhardt PJ, Summers RM, Garrett JW, et al. Opportunistic screening: radiology scientific expert panel. Radiology 2023;307(5):e222044. Link, Google ScholarArticle HistoryReceived: Mar 22 2024Revision requested: Apr 3 2024Revision received: Apr 5 2024Accepted: Apr 8 2024Published online: Apr 23 2024 FiguresReferencesRelatedDetailsAccompanying This ArticleUS-based Sequential Algorithm Integrating an AI Model for Advanced Liver Fibrosis ScreeningApr 23 2024RadiologyRecommended Articles Liver Stiffness in Pediatric Patients with Fatty Liver Disease: Diagnostic Accuracy and Reproducibility of Shear-Wave ElastographyRadiology2016Volume: 283Issue: 3pp. 820-827US Time-Harmonic Elastography: Detection of Liver Fibrosis in Adolescents with Extreme Obesity with Nonalcoholic Fatty Liver DiseaseRadiology2018Volume: 288Issue: 1pp. 99-106Quantitative Elastography Methods in Liver Disease: Current Evidence and Future DirectionsRadiology2018Volume: 286Issue: 3pp. 738-763Evaluation of Liver Stiffness Values Requires Consideration of Many FactorsRadiology2024Volume: 311Issue: 1NASH Diagnosis Made Better but Maybe Not Yet EasierRadiology2021Volume: 301Issue: 3pp. 635-636See More RSNA Education Exhibits Hepatic Elastography For Fibrosis And Steatosis Quantification: An Overview Of Applications, Limitations And Perspectives With Multimodality ImagingDigital Posters2021Resident Primer On US And MR Elastography For Hepatic FibrosisDigital Posters2021Sonographic Liver Elastography: An Overview And Pathologic Correlation At A Liver Transplantation Center Digital Posters2021 RSNA Case Collection Biliary Hamartomas in Cirrhotic LiverRSNA Case Collection2021LI-RADS 5RSNA Case Collection2022Acute drug-induced on chronic viral hepatitisRSNA Case Collection2020 Vol. 311, No. 1 Metrics Altmetric Score PDF download