Peer-Reviewed Publication
AJR Am J Roentgenol2022;218(5):833-845.May 1, 2022Journal Article
Multiinstitutional Evaluation of the Liver Surface Nodularity Score on CT for Staging Liver Fibrosis and Predicting Liver-Related Events in Patients With Hepatitis C.
Asser Abou Elkassem1, Brian C Allen2, Seth T Lirette3, Kelly L Cox4, Erick M Remer5, Perry J Pickhardt6, Meghan G Lubner6, Claude B Sirlin7, Timothy Dondlinger8, Michael Schmainda8, Robert B Jacobus9, Paige E Severino9, Andrew D Smith1,9
1Department of Radiology, The University of Alabama at Birmingham, JTN 452, 619 19th St S, Birmingham, AL 35249.
2Department of Radiology, Duke University Medical Center, Durham, NC.
3Department of Data Science, University of Mississippi Medical Center, Jackson, MS.
4Department of Radiology, Mayo Clinic, Jacksonville, FL.
5Department of Radiology, Cleveland Clinic Foundation, Cleveland, OH.
6Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI.
7Department of Radiology, Liver Imaging Group, University of California San Diego, San Diego, CA.
8Imaging Biometrics, Elm Grove, WI.
9AI Metrics, Birmingham, AL.
Abstract
BACKGROUND. In single-institution multireader studies, the liver surface nodularity (LSN) score accurately detects advanced liver fibrosis and cirrhosis and predicts liver decompensation in patients with chronic liver disease (CLD) from hepatitis C virus (HCV). OBJECTIVE. The purpose of this study was to assess the diagnostic performance of the LSN score alone and in combination with the (FIB-4; f…
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