Literature DB >> 24239337

Quantifying liver fibrosis through the application of texture analysis to diffusion weighted imaging.

Brian Barry1, Karen Buch, Jorge A Soto, Hernan Jara, Arie Nakhmani, Stephan W Anderson.   

Abstract

The purpose of this study was to evaluate the potential utility of texture analysis of parametric apparent diffusion coefficient (ADC) maps in quantifying hepatic fibrosis. To this end, using ex vivo murine liver tissues from a dietary model of hepatic fibrosis, an array of texture analysis techniques, including histogram-based, gray-level co-occurrence matrix-based, and gray-level run-length-based features, was used to evaluate correlations with liver fibrosis. Moderate to very strong correlation between several of the texture-based features and both subjective as well as digital image analysis-based assessments of hepatic fibrosis was demonstrated. This rigorous study of texture analysis applied to parametric ADC maps in a liver fibrosis model study demonstrates and validates the potential utility of texture-based features for the noninvasive, quantitative assessment of hepatic fibrosis.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Diffusion; Fibrosis; Liver; Mouse; Texture

Mesh:

Year:  2013        PMID: 24239337     DOI: 10.1016/j.mri.2013.04.006

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  17 in total

1.  Quantitative Assessment of Variation in CT Parameters on Texture Features: Pilot Study Using a Nonanatomic Phantom.

Authors:  K Buch; B Li; M M Qureshi; H Kuno; S W Anderson; O Sakai
Journal:  AJNR Am J Neuroradiol       Date:  2017-03-24       Impact factor: 3.825

Review 2.  Evaluation of hepatic fibrosis: a review from the society of abdominal radiology disease focus panel.

Authors:  Jeanne M Horowitz; Sudhakar K Venkatesh; Richard L Ehman; Kartik Jhaveri; Patrick Kamath; Michael A Ohliger; Anthony E Samir; Alvin C Silva; Bachir Taouli; Michael S Torbenson; Michael L Wells; Benjamin Yeh; Frank H Miller
Journal:  Abdom Radiol (NY)       Date:  2017-08

Review 3.  Diffusion-weighted imaging and texture analysis: current role for diffuse liver disease.

Authors:  Sofia Gourtsoyianni; Joao Santinha; Celso Matos; Nikolaos Papanikolaou
Journal:  Abdom Radiol (NY)       Date:  2020-10-16

4.  Hepatocellular carcinoma: CT texture analysis as a predictor of survival after surgical resection.

Authors:  Lucie Brenet Defour; Sébastien Mulé; Arthur Tenenhaus; Tullio Piardi; Daniele Sommacale; Christine Hoeffel; Gérard Thiéfin
Journal:  Eur Radiol       Date:  2018-08-29       Impact factor: 5.315

5.  Diffusion tensor imaging of the spleen in prediction and grading of esophageal varices in cirrhotic children with portal hypertension.

Authors:  Ahmed Abdel Khalek Abdel Razek; Mona Mohamed Hafez; Walaa Mahmoud; Ahmed Ramadan Ismail; Khadiga M Ali; Tarek Elsayed Barakat
Journal:  Jpn J Radiol       Date:  2021-04-29       Impact factor: 2.374

6.  Liver cirrhosis in children - the role of imaging in the diagnostic pathway.

Authors:  Jochen Herrmann; Philippe Petit; Enke Grabhorn; Alexander Lenz; Julian Jürgens; Stéphanie Franchi-Albella
Journal:  Pediatr Radiol       Date:  2022-08-30

7.  Texture analysis of preoperative CT images for prediction of postoperative hepatic insufficiency: a preliminary study.

Authors:  Amber L Simpson; Lauryn B Adams; Peter J Allen; Michael I D'Angelica; Ronald P DeMatteo; Yuman Fong; T Peter Kingham; Universe Leung; Michael I Miga; E Patricia Parada; William R Jarnagin; Richard K G Do
Journal:  J Am Coll Surg       Date:  2014-12-07       Impact factor: 6.113

8.  Texture analysis in gel electrophoresis images using an integrative kernel-based approach.

Authors:  Carlos Fernandez-Lozano; Jose A Seoane; Marcos Gestal; Tom R Gaunt; Julian Dorado; Alejandro Pazos; Colin Campbell
Journal:  Sci Rep       Date:  2016-01-13       Impact factor: 4.379

9.  Computed tomography texture analysis to facilitate therapeutic decision making in hepatocellular carcinoma.

Authors:  Meng Li; Sirui Fu; Yanjie Zhu; Zaiyi Liu; Shuting Chen; Ligong Lu; Changhong Liang
Journal:  Oncotarget       Date:  2016-03-15

10.  A novel computer-aided diagnostic system for accurate detection and grading of liver tumors.

Authors:  Ahmed Alksas; Mohamed Shehata; Gehad A Saleh; Ahmed Shaffie; Ahmed Soliman; Mohammed Ghazal; Adel Khelifi; Hadil Abu Khalifeh; Ahmed Abdel Razek; Guruprasad A Giridharan; Ayman El-Baz
Journal:  Sci Rep       Date:  2021-06-23       Impact factor: 4.379

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