A gadoxetic acid-enhanced MRI-based model using LI-RADS v2018 features for preoperatively predicting Ki-67 expression in hepatocellular carcinoma

Authors：Liang, Yingying; Xu, Fan; Mou, Qiuju; Wang, Zihua; Xiao, Chuyin; Zhou, Tingwen; Zhang, Nianru; Yang, Jing^*; Wu, Hongzhen^*

Source：BMC MEDICAL IMAGING, 2024, 24(1): 27.

DOI：10.1186/s12880-024-01204-9

• Hepatocellular carcinoma
• Magnetic resonance imaging
• Ki-67
• Diagnosis

Purpose To construct a gadoxetic acid-enhanced MRI (EOB-MRI) -based multivariable model to predict Ki-67 expression levels in hepatocellular carcinoma (HCC) using LI-RADS v2018 imaging features. Methods A total of 121 patients with HCC who underwent EOB-MRI were enrolled in this study. The patients were divided into three groups according to Ki-67 cut-offs: Ki-67 >= 20% (n = 86) vs. Ki-67 < 20% (n = 35); Ki-67 >= 30% (n = 73) vs. Ki-67 < 30% (n = 48); Ki-67 >= 50% (n = 45) vs. Ki-67 < 50% (n = 76). MRI features were analyzed to be associated with high Ki-67 expression using logistic regression to construct multivariable models. The performance characteristic of the models for the prediction of high Ki-67 expression was assessed using receiver operating characteristic curves. Results The presence of mosaic architecture (p = 0.045), the presence of infiltrative appearance (p = 0.039), and the absence of targetoid hepatobiliary phase (HBP, p = 0.035) were independent differential factors for the prediction of high Ki-67 status (>= 50% vs. < 50%) in HCC patients, while no features could predict high Ki-67 status with thresholds of 20% (>= 20% vs. < 20%) and 30% (>= 30% vs. < 30%) (p > 0.05). Four models were constructed including model A (mosaic architecture and infiltrated appearance), model B (mosaic architecture and targetoid HBP), model C (infiltrated appearance and targetoid HBP), and model D (mosaic architecture, infiltrated appearance and targetoid HBP). The model D yielded better diagnostic performance than the model C (0.776 vs. 0.669, p = 0.002), but a comparable AUC than model A (0.776 vs. 0.781, p = 0.855) and model B (0.776 vs. 0.746, p = 0.076). Conclusions Mosaic architecture, infiltrated appearance and targetoid HBP were sensitive imaging features for predicting Ki-67 index >= 50% and EOB-MRI model based on LI-RADS v2018 features may be an effective imaging approach for the risk stratification of patients with HCC before surgery.

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