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Incorporation of Ancillary MRI Features Into the LI-RADS Treatment Response Algorithm: Impact on Diagnostic Performance After Locoregional Treatment of Hepatocellular Carcinoma

Authors
 Yeun-Yoon Kim  ;  Myeong-Jin Kim  ;  Ja Kyung Yoon  ;  Jaeseung Shin  ;  Yun Ho Roh 
Citation
 AMERICAN JOURNAL OF ROENTGENOLOGY, Vol.218(3) : 484-493, 2022-03 
Journal Title
AMERICAN JOURNAL OF ROENTGENOLOGY
ISSN
 0361-803X 
Issue Date
2022-03
MeSH
Algorithms ; Carcinoma, Hepatocellular / diagnostic imaging* ; Carcinoma, Hepatocellular / therapy* ; Female ; Humans ; Image Interpretation, Computer-Assisted / methods* ; Liver / diagnostic imaging ; Liver Neoplasms / diagnostic imaging* ; Liver Neoplasms / therapy* ; Magnetic Resonance Imaging / methods* ; Male ; Middle Aged ; Radiology Information Systems* ; Retrospective Studies ; Sensitivity and Specificity ; Treatment Outcome
Keywords
MRI ; hepatocellular carcinoma ; locoregional treatment ; necrosis ; sensitivity ; specificity
Abstract
BACKGROUND. The LI-RADS treatment response algorithm may lack sufficient sensitivity for viable tumor after locoregional treatment (LRT) for hepatocellular carcinoma (HCC). OBJECTIVE. The purpose of our study was to evaluate the impact of incorporation of ancillary MRI features on the diagnostic performance of the LI-RADS treatment response algorithm after LRT for HCC. METHODS. This retrospective study included 141 patients (114 men, 27 women; median age, 56 years) who underwent gadoxetic acid-enhanced MRI after LRT for HCC between October 2005 and January 2020 and subsequent liver surgery. Two readers assessed lesions for LI-RADS features of viability for ancillary MRI features (transitional phase [TP] hypointensity, hepatobiliary phase [HBP] hypointensity, DWI hyperintensity or low ADC, and mild-to-moderate T2 hyperintensity). Interobserver agreement was assessed before reaching consensus. Significant ancillary features were identified using random forest analysis. The impact of incorporation of significant ancillary features on diagnostic performance for incomplete pathologic necrosis (IPN; pathologically viable tumor > 0 mm) was assessed using McNemar tests. RESULTS. Complete pathologic necrosis (CPN) was observed in 88 of 181 (48.6%) lesions. Interreader agreement was almost perfect for LI-RADS features of viability (κ = 0.92-0.97) and was substantial to almost perfect for ancillary features (κ = 0.73-0.94). Random forest analysis identified TP hypointensity (present in 8.0%, 25.0%, and 75.3% of lesions with CPN, viable tumor < 10 mm, and viable tumor ≥ 10 mm, respectively) and HBP hypointensity (9.2%, 25.0%, and 74.0%, respectively) as significant ancillary features. For detecting IPN, LR-TR (treatment response) Viable or LR-TR Equivocal had higher sensitivity than LR-TR Viable (71.0% vs 57.0%, respectively; p = .001) but had lower specificity (86.4% vs 94.3%, p = .02). However, LR-TR Viable or LR-TR Equivocal and TP hypointensity showed higher sensitivity than LR-TR Viable (64.5% vs 57.0%, p = .02) without a significantly different specificity (90.9% vs 94.3%, p = .25). LR-TR Viable or LR-TR Equivocal and HBP hypointensity also showed higher sensitivity than LR-TR Viable (65.6% vs 57.0%, p = .01) without a significantly different specificity (90.8% vs 94.3%, p = .25). CONCLUSION. TP hypointensity and HBP hypointensity increase the sensitivity of LI-RADS treatment response algorithm for viable tumor without lowering specificity. CLINICAL IMPACT. The two identified ancillary features may improve tumor viability assessment and planning of additional therapies after LRT for HCC.
Full Text
https://www.ajronline.org/doi/10.2214/AJR.21.26677
DOI
10.2214/AJR.21.26677
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Myeong Jin(김명진) ORCID logo https://orcid.org/0000-0001-7949-5402
Kim, Yeun-Yoon(김연윤) ORCID logo https://orcid.org/0000-0003-2018-5332
Roh, Yun Ho(노윤호)
Shin, Jaeseung(신재승) ORCID logo https://orcid.org/0000-0002-6755-4732
Yoon, Ja Kyung(윤자경) ORCID logo https://orcid.org/0000-0002-3783-977X
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/188796
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