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Evaluation of treatment response in hepatocellular carcinoma in the explanted liver with Liver Imaging Reporting and Data System version 2017

Authors
 Nieun Seo  ;  Myoung Soo Kim  ;  Mi-Suk Park  ;  Jin-Young Choi  ;  Richard K. G. Do  ;  Kyunghwa Han  ;  Myeong-Jin Kim 
Citation
 EUROPEAN RADIOLOGY, Vol.30(1) : 261-271, 2020 
Journal Title
EUROPEAN RADIOLOGY
ISSN
 0938-7994 
Issue Date
2020
Keywords
Hepatocellular carcinoma ; Liver transplantation ; Magnetic resonance imaging ; Multidetector computed tomography ; Therapeutic chemoembolization
Abstract
OBJECTIVE:

To investigate the performance of Liver Imaging Reporting and Data System (LI-RADS) v2017 treatment response algorithm for predicting hepatocellular carcinoma (HCC) viability after locoregional therapy (LRT) using the liver explant as reference.

METHODS:

One hundred fourteen patients with 206 HCCs who underwent liver transplantation (LT) after LRT for HCCs were included in this retrospective study. Two radiologists independently evaluated tumor viability using the LI-RADS and modified RECIST (mRECIST) with CT and MRI, respectively. The sensitivity and specificity of arterial phase hyperenhancement (APHE) and LR-TR viable criteria (any of three findings: APHE, washout, and enhancement pattern similar to pretreatment imaging) were compared using logistic regression. Receiver operating characteristics (ROC) analysis was used to compare the diagnostic performance between LI-RADS and mRECIST and between CT and MRI.

RESULTS:

The sensitivity and specificity for diagnosing viable tumor were not significantly different between APHE alone and LR-TR viable criteria on CT (p = 0.054 and p = 0.317) and MRI (p = 0.093 and p = 0.603). On CT, the area under the ROC curve (AUC) of LI-RADS was significantly higher than that of mRECIST (0.733 vs. 0.657, p < 0.001). On MRI, there was no significant difference in AUCs between LI-RADS and mRECIST (0.802 vs. 0.791, p = 0.500). Intra-individual comparison of CT and MRI showed comparable AUCs using LI-RADS (0.783 vs. 0.795, p = 0.776).

CONCLUSIONS:

LI-RADS v2017 treatment response algorithm showed better diagnostic performance than mRECIST on CT. With LI-RADS, CT and MRI were comparable to diagnose tumor viability of HCC after LRT.

KEY POINTS:

• Using Liver Imaging Reporting and Data System (LI-RADS) v2017 treatment response algorithm, the viability of hepatocellular carcinoma (HCC) after locoregional therapy (LRT) can be accurately diagnosed. • LI-RADS v2017 treatment response algorithm is superior to modified Response Evaluation Criteria in Solid Tumors for evaluating HCC viability using CT. • Either CT or MRI can be performed to assess tumor viability after LRT using LI-RADS v2017 treatment response algorithm.
Full Text
https://link.springer.com/article/10.1007%2Fs00330-019-06376-5
DOI
10.1007/s00330-019-06376-5
Appears in Collections:
1. College of Medicine (의과대학) > Research Institute (부설연구소) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Myoung Soo(김명수) ORCID logo https://orcid.org/0000-0002-8975-8381
Kim, Myeong Jin(김명진) ORCID logo https://orcid.org/0000-0001-7949-5402
Park, Mi-Suk(박미숙) ORCID logo https://orcid.org/0000-0001-5817-2444
Seo, Nieun(서니은) ORCID logo https://orcid.org/0000-0001-8745-6454
Choi, Jin Young(최진영) ORCID logo https://orcid.org/0000-0002-9025-6274
Han, Kyung Hwa(한경화)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/174877
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