Prediction of Macrotrabecular-Massive Hepatocellular Carcinoma and Associated Prognosis Using Contrast-enhanced US and Clinical Features.
IF 5.6
Q1 ONCOLOGY
Jiapeng Wu, Sisi Liu, Yiqiong Zhang, WenZhen Ding, Qinxian Zhao, Yuling Wang, Fan Xiao, Xiaoling Yu, Xiaoyan Xie, Shuhong Liu, Jingmin Zhao, Jintang Liao, Jie Yu, Ping Liang
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引用次数: 0
Abstract
Purpose To develop a combined contrast-enhanced US (CEUS) clinical model for the prediction of macrotrabecular-massive hepatocellular carcinoma (MTM HCC) and evaluate its diagnostic and prognostic values. Materials and Methods This secondary analysis of a prospective multicenter study (ClinicalTrials.gov: NCT04682886) included participants from three independent cohorts who underwent CEUS and surgical resection for HCC between January 2017 and December 2022. Two radiologists independently reviewed CEUS data, and the interreader agreement was evaluated. Logistic regression was performed using the training cohort to determine the predictors associated with MTM HCC, while the validation cohort was used to evaluate the diagnostic and prognostic values of the predictors. Results A total of 387 participants (mean age, 55.09 years ± 10.33 [SD]; 342 male) were included. Four clinical and CEUS features were associated with MTM HCC: early washout (before 60 seconds) (odds ratio [OR]: 8.82 [95% CI: 4.22, 18.64], P < .001), hypoenhancing component (OR: 4.03 [95% CI: 1.78, 9.49], P < .001), tumor size (OR: 1.28 [95% CI: 1.04, 1.59], P = .02), and serum α-fetoprotein level greater than 100 ng/mL (OR: 3.01 [95% CI: 1.41, 6.63], P = .004). The combined predictive model yielded an area under the receiver operating characteristic curve of 0.89 (95% CI: 0.85, 0.93) in the training cohort and 0.81 (95% CI: 0.73, 0.89) in the validation cohort. The model also achieved a negative predictive value of 94.2% (147 of 156) in the training cohort and 88.0% (66 of 75) in the validation cohort, with high prognostic accuracy for overall survival (hazard ratio: 2.26 [95% CI: 1.07, 4.79], P = .03). Conclusion The combined CEUS-clinical predictive model could be used to characterize the MTM HCC subtype and determine prognosis. Keywords: Molecular Imaging-Angiogenesis, Ultrasound-Contrast, Liver, Macrotrabecular-Massive Hepatocellular Carcinoma, Contrast-enhanced US Clinical trial registration no. NCT04682886 Supplemental material is available for this article. © RSNA, 2025.
利用增强超声造影和临床特征预测大梁-块状肝细胞癌及相关预后。
目的建立一种预测大小梁-块状肝细胞癌(MTM HCC)的联合造影增强超声(CEUS)临床模型,并评价其诊断和预后价值。这项前瞻性多中心研究(ClinicalTrials.gov: NCT04682886)的二级分析纳入了来自三个独立队列的参与者,这些参与者在2017年1月至2022年12月期间接受了超声造影和手术切除的HCC。两名放射科医生独立审查了超声造影数据,并评估了解读者的一致性。使用训练队列进行逻辑回归以确定与MTM型HCC相关的预测因素,而验证队列用于评估预测因素的诊断和预后价值。结果共纳入387例患者,平均年龄55.09岁±10.33岁[SD];包括342名男性)。四项临床和超声造影特征与MTM型HCC相关:早期洗脱(60秒前)(优势比[OR]: 8.82 [95% CI: 4.22, 18.64], P < 0.001),低增强成分(OR: 4.03 [95% CI: 1.78, 9.49], P < 0.001),肿瘤大小(OR: 1.28 [95% CI: 1.04, 1.59], P = 0.02),血清α-胎蛋白水平大于100 ng/mL (OR: 3.01 [95% CI: 1.41, 6.63], P = 0.004)。联合预测模型在训练组的受试者工作特征曲线下面积为0.89 (95% CI: 0.85, 0.93),在验证组的受试者工作特征曲线下面积为0.81 (95% CI: 0.73, 0.89)。该模型在训练组和验证组的负预测值分别为94.2%(156人中的147人)和88.0%(75人中的66人),对总生存的预测准确率较高(风险比:2.26 [95% CI: 1.07, 4.79], P = 0.03)。结论超声造影联合临床预测模型可用于鉴别MTM型HCC亚型,判断预后。关键词:分子成像-血管生成,超声造影剂,肝脏,大梁-块状肝细胞癌,对比增强美国临床试验注册号本文有补充材料。©rsna, 2025。
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