An MRI‐Based Prognostic Stratification System for Medical Decision‐Making of Multinodular Hepatocellular Carcinoma Patients Beyond the Milan Criteria

• Published in: Journal of magnetic resonance imaging Vol. 58; no. 6; pp. 1918 - 1929
• Main Authors: Wu, Fei, Ni, Xiaoyan, Sun, Haitao, Zhou, Changwu, Huang, Peng, Xiao, Yuyao, Yang, Li, Yang, Chun, Zeng, Mengsu
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.12.2023; Wiley Subscription Services, Inc
• Subjects: Aspartate aminotransferase; Cirrhosis; Confidence intervals; Correlation coefficient; Correlation coefficients; Criteria; Decision making; Field strength; Hepatectomy; Hepatocellular carcinoma; Liver; Liver cancer; Liver cirrhosis; Magnetic resonance imaging; Medical imaging; Medical prognosis; Milan criteria; multinodular; Nomograms; prognosis; Rank tests; Regression analysis; Risk groups; Statistical analysis; Statistical tests; Survival; Tumors; Milan criteria; multinodular; prognosis; hepatocellular carcinoma
• ISSN: 1053-1807; 1522-2586; 1522-2586
• DOI: 10.1002/jmri.28724

Background The suitability of hepatectomy among patients with multinodular hepatocellular carcinoma (MHCC) beyond the Milan criteria remains controversial. There is a need for a reliable risk stratification tool among these patients for the selection of ideal candidates of curative resection. Purpose To determine the clinicoradiological prognostic factors for patients with MHCC beyond the Milan criteria to further develop a stratification system. Study Type Retrospective. Subjects 176 patients with pathologically confirmed MHCC beyond the Milan criteria. Field Strength/Sequence The 1.5 T scanner, including T1‐, T2‐, diffusion‐weighted imaging, in/out‐phase imaging, and dynamic contrast‐enhanced imaging. Assessment Conventional MRI features and preoperative laboratory data including aspartate aminotransferase (AST) and α‐fetoprotein (AFP) were collected and analyzed. Two nomograms incorporating clinicoradiological variables were independently constructed to predict recurrence‐free survival (RFS) and overall survival (OS) with Cox regression analyses and verified with 5‐fold cross validation. Based on the nomograms, two prognostic stratification systems for RFS and OS were further developed. Statistical Tests The Cohen's kappa/intraclass correlation coefficient, C‐index, calibration curve, Kaplan–Meier curve, log‐rank test. A P value <0.05 was considered statistically significant. Results AST > 40 U/L, increased tumor burden score, radiological liver cirrhosis and nonsmooth tumor margin were independent predictors for poor RFS, while AST > 40 U/L, AFP > 400 ng/mL and radiological liver cirrhosis were independent predictors for poor OS. The two nomograms demonstrated good discrimination performance with C‐index of 0.653 (95% confidence interval [CI], 0.602–0.794) and 0.685 (95% CI, 0.623–0.747) for RFS and OS, respectively. The 5‐fold cross validation further validated the discrimination capability of the nomograms. Based on the nomogram models, MHCC patients beyond the Milan criteria were stratified into low−/medium−/high‐risk groups with significantly different RFS and OS. Data Conclusion The proposed MRI‐based prognostic stratification system facilitates the refinement and further subclassification of patients with MHCC beyond the Milan criteria. Evidence Level 4. Technical Efficacy 2.