Document Detail


Noninvasive classification of hepatic fibrosis based on texture parameters from double contrast-enhanced magnetic resonance images.
MedLine Citation:
PMID:  22851409     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
PURPOSE: To demonstrate a proof of concept that quantitative texture feature analysis of double contrast-enhanced magnetic resonance imaging (MRI) can classify fibrosis noninvasively, using histology as a reference standard. MATERIALS AND METHODS: A Health Insurance Portability and Accountability Act (HIPAA)-compliant Institutional Review Board (IRB)-approved retrospective study of 68 patients with diffuse liver disease was performed at a tertiary liver center. All patients underwent double contrast-enhanced MRI, with histopathology-based staging of fibrosis obtained within 12 months of imaging. The MaZda software program was used to compute 279 texture parameters for each image. A statistical regularization technique, generalized linear model (GLM)-path, was used to develop a model based on texture features for dichotomous classification of fibrosis category (F ≤2 vs. F ≥3) of the 68 patients, with histology as the reference standard. The model's performance was assessed and cross-validated. There was no additional validation performed on an independent cohort. RESULTS: Cross-validated sensitivity, specificity, and total accuracy of the texture feature model in classifying fibrosis were 91.9%, 83.9%, and 88.2%, respectively. CONCLUSION: This study shows proof of concept that accurate, noninvasive classification of liver fibrosis is possible by applying quantitative texture analysis to double contrast-enhanced MRI. Further studies are needed in independent cohorts of subjects. J. Magn. Reson. Imaging 2012;. © 2012 Wiley Periodicals, Inc.
Authors:
Gautam Bahl; Irene Cruite; Tanya Wolfson; Anthony C Gamst; Julie M Collins; Alyssa D Chavez; Fatma Barakat; Tarek Hassanein; Claude B Sirlin
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-7-31
Journal Detail:
Title:  Journal of magnetic resonance imaging : JMRI     Volume:  -     ISSN:  1522-2586     ISO Abbreviation:  J Magn Reson Imaging     Publication Date:  2012 Jul 
Date Detail:
Created Date:  2012-8-1     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9105850     Medline TA:  J Magn Reson Imaging     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Wiley Periodicals, Inc.
Affiliation:
University of California, San Diego, Department of Radiology, San Diego, California, USA.
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