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Texture Analysis of Hepatocellular Carcinoma on Magnetic Resonance Imaging: Assessment for Performance in Predicting Histopathologic Grade

Authors
 Jeong Min Choi  ;  Jeong-Sik Yu  ;  Eun-Suk Cho  ;  Joo Hee Kim  ;  Jae-Joon Chung 
Citation
 JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, Vol.44(6) : 901-910, 2020-11 
Journal Title
 JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY 
ISSN
 0363-8715 
Issue Date
2020-11
Abstract
Objective: The aim of the study was to evaluate the performance of texture analysis for discriminating the histopathological grade of hepatocellular carcinoma (HCC) on magnetic resonance imaging. Methods: Preoperative magnetic resonance imaging data from 101 patients with HCC, including T2-weighted imaging, arterial phase, and apparent diffusion coefficient mapping, were analyzed using texture analysis software (TexRAD). Differences among the histological groups were analyzed using the Mann-Whitney U test. The performance of texture features was evaluated using receiver operating characteristic analysis. Results: Entropy was the most significantly relevant texture feature for distinguishing each histological grade group of HCC (P < 0.05). In ROC analysis, entropy with spatial scale filter 3 (area under curve the receiver operating characteristic curve [AUC], 0.778), mean with coarse filter (spatial scale filter 5; AUC, 0.670), and skewness without filtration (AUC, 0.760) had the highest AUC value on T2-weighted imaging, arterial phase, and apparent diffusion coefficient maps, respectively. Conclusions: Magnetic resonance imaging texture analysis demonstrated potential for predicting the histopathological grade of HCCs.
Full Text
https://journals.lww.com/jcat/Fulltext/2020/11000/Texture_Analysis_of_Hepatocellular_Carcinoma_on.15.aspx
DOI
10.1097/RCT.0000000000001087
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Joo Hee(김주희) ORCID logo https://orcid.org/0000-0001-5383-3602
Yu, Jeong Sik(유정식) ORCID logo https://orcid.org/0000-0002-8171-5838
Chung, Jae Joon(정재준) ORCID logo https://orcid.org/0000-0002-7447-1193
Cho, Eun Suk(조은석)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/180748
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