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Liver Surface Nodularity Score Allows Prediction of Cirrhosis Decompensation and Death

Authors :
Reza Sirous
Amit Vasanji
Seth T. Lirette
Frederico F. Souza
Michael Griswold
Kevin A Zand
Edward Florez
Darya P. Shlapak
Andrew D. Smith
Manohar Roda
Jason A. Bryan
Source :
Radiology. 283:711-722
Publication Year :
2017
Publisher :
Radiological Society of North America (RSNA), 2017.

Abstract

Purpose To determine whether use of the liver surface nodularity (LSN) score, a quantitative biomarker derived from routine computed tomographic (CT) images, allows prediction of cirrhosis decompensation and death. Materials and Methods For this institutional review board-approved HIPAA-compliant retrospective study, adult patients with cirrhosis and Model for End-Stage Liver Disease (MELD) score within 3 months of initial liver CT imaging between January 3, 2006, and May 30, 2012, were identified from electronic medical records (n = 830). The LSN score was measured by using CT images and quantitative software. Competing risk regression was used to determine the association of the LSN score with hepatic decompensation and overall survival. A risk model combining LSN scores (

Details

ISSN :
15271315 and 00338419
Volume :
283
Database :
OpenAIRE
Journal :
Radiology
Accession number :
edsair.doi.dedup.....01f66edfc2d862fc491896fb7369fbdb
Full Text :
https://doi.org/10.1148/radiol.2016160799