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Prediction of PD-L1 expression in unresectable hepatocellular carcinoma with gadoxetic acid-enhanced MRI

Authors
 Jun Gu Kang  ;  Kyunghwa Han  ;  Taek Chung  ;  Hyungjin Rhee 
Citation
 EUROPEAN JOURNAL OF RADIOLOGY, Vol.181(1) : 111772, 2024-12 
Journal Title
EUROPEAN JOURNAL OF RADIOLOGY
ISSN
 0720-048X 
Issue Date
2024-12
Keywords
Biomarker ; Gadoxetic acid ; Hepatocellular carcinoma ; Immune checkpoint inhibitors ; Magnetic Resonance Imaging
Abstract
Objectives: To develop a model to predict programmed death-ligand 1 (PD-L1) expression in unresectable hepatocellular carcinoma (HCC) based on gadoxetic acid-enhanced magnetic resonance imaging (MRI) findings and clinical characteristics. Materials and methods: We enrolled patients with unresectable HCC who underwent gadoxetic acid-enhanced MRI between January 2021 and May 2023. Immunohistochemical staining of PD-L1 was performed on a biopsy specimen. Patients with a history of any prior treatment for HCC or those lacking an MRI scan within 30 days of the biopsy date were excluded. Using the clinical and MRI findings, we developed a PD-L1 prediction score using logistic regression. Results: This study included 49 patients with HCC (median age, 64 years; interquartile range, 57–73 years; 44 men). Among these, 15 (31 %) were positive for PD-L1 expression. The PD-L1 prediction score was defined as the sum of arterial phase hypoenhancement (score 1), necrosis (score 1), and AFP >4000 ng/mL (score 2). The AUC value of the PD-L1 prediction score was 0.838 (95 % confidence interval [CI], 0.715–0.962). When the PD-L1 prediction score was ≥3, the sensitivity, specificity, and positive predictive value of PD-L1 positivity were 67 %, 91 %, and 77 %, respectively. Conclusion: We developed a PD-L1 prediction score for unresectable HCC with high specificity that could potentially contribute to the identification of effective candidates for immune checkpoint inhibitors.
Full Text
https://www.sciencedirect.com/science/article/pii/S0720048X24004881
DOI
10.1016/j.ejrad.2024.111772
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Rhee, Hyungjin(이형진) ORCID logo https://orcid.org/0000-0001-7759-4458
Chung, Taek(정택) ORCID logo https://orcid.org/0000-0001-7567-0680
Han, Kyung Hwa(한경화)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/201155
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