Reproducibility of LI-RADS treatment response algorithm for hepatocellular carcinoma after locoregional therapy

被引:29
作者
Razek, A. A. K. Abdel [1 ]
El-Serougy, L. G. [1 ]
Saleh, G. A. [1 ]
Shabana, W. [2 ]
Abd El-Wahab, R. [1 ]
机构
[1] Mansoura Fac Med, Dept Diagnost Radiol, Mansoura 13551, Egypt
[2] Mansoura Fac Med, Dept Trop Med, Mansoura 13551, Egypt
关键词
MR imaging; Response; Hepatocellular carcinoma; LI-RADS treatment response; Observer variation; Chemoembolization; Therapeutic; DIAGNOSIS;
D O I
10.1016/j.diii.2020.03.008
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To determine inter-reader agreement in categorizing hepatocellular carcinoma (HCC) treated with locoregional therapy using the Liver Imaging Reporting and Data System (LI-RADS) treatment response (LR-TR) algorithm. Materials and methods: A total of 93 patients with a total of 112 HCC nodules that were treated using thermal ablation or transarterial chemoembolization were prospectively included. There were 79 men and 14 women with a mean age of 55 +/- 2.6 (SD) years (range: 48-63 years). All patients underwent magnetic resonance imaging (MRI) examination of the liver and MR images were analyzed by two independent observers. Treated HCC nodules were categorized into four groups according to LR-TR scoring system including: (i)LR-TR non-evaluable (treated, response not evaluable); (ii) LR-TR nonviable (treated, probably or definitively not viable); (iii) LR-TR equivocal (treated, equivocally viable) and (iv) LR-TR viable (treated, probably or definitively viable). The inter-observer agreement in LR-TR categorization was assessed using the kappa statistics. Results: There was excellent inter-observer agreement between the two reviewers for overall treated HCC according to LR-TR algorithm (kappa = 0.938; 95% CI: 0.89-1.00; P = 0.001) with 97.31% agreement. The LR-TR categories by both reviewers were non-viable (77/112; 69.6% and 76/112; 67.9%), viable (30/112; 26.8% and 32/112; 27.7%) and equivocal (5/112; 4.4% and 4/112; 3.6%). There was excellent inter-observer agreement for LR-TR nonviable (kappa = 0.938; 95% CI: 0.87-1.0; P = 0.001) with 97.3% agreement, LR-TR viable (kappa = 0.955; 95% CI: 0.89-1.00; P = 0.001) with 98.2% agreement and good inter-observer agreement for LR-TR equivocal (kappa = 0.700; 95% CI: 0.28-1.0; P = 0.001) with 97.3% agreement. Conclusion: LR-TR algorithm conveys high degrees of inter-observer agreement for the evaluation of treatment response of HCC after thermal ablation and transarterial chemoembolization. (C) 2020 Societe francaise de radiologie. Published by Elsevier Masson SAS. All rights reserved.
引用
收藏
页码:547 / 553
页数:7
相关论文
共 22 条
[1]   Interobserver Agreement of Magnetic Resonance Imaging of Liver Imaging Reporting and Data System Version 2018 [J].
Abdel Razek, Ahmed Abdel Khalek ;
El-Serougy, Lamiaa Galal ;
Saleh, Gehad Ahmad ;
Abd el-wahab, Rihame ;
Shabana, Walaa .
JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2020, 44 (01) :118-123
[2]   Diagnosis of hepatocellular carcinoma: An update on international guidelines [J].
Cassinotto, C. ;
Aube, C. ;
Dohan, A. .
DIAGNOSTIC AND INTERVENTIONAL IMAGING, 2017, 98 (05) :379-391
[3]   The LI-RADS Version 2018 MRI Treatment Response Algorithm: Evaluation of Ablated Hepatocellular Carcinoma [J].
Chaudhry, Mohammad ;
McGinty, Katrina A. ;
Mervak, Benjamin ;
Lerebours, Reginald ;
Li, Cai ;
Shropshire, Erin ;
Ronald, James ;
Commander, Leah ;
Hertel, Johann ;
Luo, Sheng ;
Bashir, Mustafa R. ;
Burke, Lauren M. B. .
RADIOLOGY, 2020, 294 (02) :320-326
[4]   Liver Imaging Reporting and Data System (LI-RADS) Version 2018: Imaging of Hepatocellular Carcinoma in At-Risk Patients [J].
Chernyak, Victoria ;
Fowler, Kathryn J. ;
Kamaya, Aya ;
Kielar, Ania Z. ;
Elsayes, Khaled M. ;
Bashir, Mustafa R. ;
Kono, Yuko ;
Do, Richard K. ;
Mitchell, Donald G. ;
Singal, Amit G. ;
Tang, An ;
Sirlin, Claude B. .
RADIOLOGY, 2018, 289 (03) :816-830
[5]   LI-RADS Version 2018 Treatment Response Algorithm: The Evidence Is Accumulating [J].
Do, Richard K. ;
Mendiratta-Lala, Mishal .
RADIOLOGY, 2020, 294 (02) :327-328
[6]   White paper of the Society of Abdominal Radiology hepatocellular carcinoma diagnosis disease-focused panel on LI-RADS v2018 for CT and MRI [J].
Elsayes, Khaled M. ;
Kielar, Ania Z. ;
Elmohr, Mohab M. ;
Chernyak, Victoria ;
Masch, William R. ;
Furlan, Alessandro ;
Marks, Robert M. ;
Cruite, Irene ;
Fowler, Kathryn J. ;
Tang, An ;
Bashir, Mustafa R. ;
Hecht, Elizabeth M. ;
Kamaya, Aya ;
Jambhekar, Kedar ;
Kamath, Amita ;
Arora, Sandeep ;
Bijan, Bijan ;
Ash, Ryan ;
Kassam, Zahra ;
Chaudhry, Humaira ;
McGahan, John P. ;
Yacoub, Joseph H. ;
McInnes, Matthew ;
Fung, Alice W. ;
Shanbhogue, Krishna ;
Lee, James ;
Deshmukh, Sandeep ;
Horvat, Natally ;
Mitchell, Donald G. ;
Do, Richard K. G. ;
Surabhi, Venkateswar R. ;
Szklaruk, Janio ;
Sirlin, Claude B. .
ABDOMINAL RADIOLOGY, 2018, 43 (10) :2625-2642
[7]   Transarterial chemoembolization (TACE) in the management of hepatocellular carcinoma: Results of a French national survey on current practices [J].
Fohlen, A. ;
Tasu, J. P. ;
Kobeiter, H. ;
Bartoli, J. M. ;
Pelage, J. P. ;
Guiu, B. .
DIAGNOSTIC AND INTERVENTIONAL IMAGING, 2018, 99 (09) :527-535
[8]  
Gervais DA, 2019, RADIOLOGY, V292, P235, DOI 10.1148/radiol.2019190768
[9]   Evaluation of HCC response to locoregional therapy: Validation of MRI-based response criteria versus explant pathology [J].
Gordic, Sonja ;
Corcuera-Solano, Idoia ;
Stueck, Ashley ;
Besa, Cecilia ;
Argiriadi, Pamela ;
Guniganti, Preethi ;
King, Michael ;
Kihira, Shingo ;
Babb, James ;
Thung, Swan ;
Taouli, Bachir .
JOURNAL OF HEPATOLOGY, 2017, 67 (06) :1213-1221
[10]   MRI assessment of hepatocellular carcinoma after locoregional therapy [J].
Hussein, Rasha S. ;
Tantawy, Wahid ;
Abbas, Yasser A. .
INSIGHTS INTO IMAGING, 2019, 10 (01)