Intravoxel Incoherent Motion Improves the Accuracy of Preoperative Prediction of Vessels Encapsulating Tumor Clusters in Hepatocellular Carcinoma.

IF 4.2 3区 医学 Q2 ONCOLOGY
Journal of Hepatocellular Carcinoma Pub Date : 2025-06-11 eCollection Date: 2025-01-01 DOI:10.2147/JHC.S519223
Min Li, Ge Zhang, Jing Li, Yufan Ren, Xuan Jin, Qiying Ke, Congyue Guo, Jiaqi Lv, Haojun Lu, Yongzhou Xu, Wen Liang, Xianyue Quan, Xinming Li
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Abstract

Purpose: Hepatocellular carcinoma (HCC) with vessels encapsulating tumor clusters (VETC) pattern presents a higher risk of recurrence and metastasis, and the unique vascular structure of the VETC pattern may affect the perfusion and diffusion, and the effect that can be captured by intravoxel incoherent motion (IVIM). Therefore, this study used preoperative IVIM to predict VETC pattern in HCC and performed preoperative noninvasive recurrence risk stratification.

Patients and methods: Patients with suspicious HCC were included prospectively. Two radiologists independently evaluated radiologic features and measured apparent diffusion coefficient (ADC), true diffusion coefficient (D), pseudo-diffusion coefficient (D*), and pseudo-diffusion fraction (f). Logistic regression analyses were used to identify the predictors associated with the VETC pattern. Receiver operating characteristic (ROC) curve analyses were conducted to assess the predictive performance. Recurrence-free survival was evaluated using the Kaplan-Meier analysis and the Log rank test.

Results: The consecutive cohort included 116 patients (mean age, 55 years ± 11, 94 men). Twenty-nine of the 116 HCC (25.0%) were VETC HCC. The f value (odds ratio [OR], 0.791; p < 0.001), serum α-fetoprotein level (>400 ng/mL) (OR, 2.962; p = 0.042), and intratumor necrosis (OR, 6.022; p = 0.015) were independent predictors of the VETC pattern. These characteristics were used to construct the combined model with area under the ROC curve of 0.854. Additionally, adding the f value to the conventional imaging-clinical model substantially improved its predictive performance (p < 0.001). Moreover, patients with the combined model classified as VETC HCC also had a higher risk of early recurrence than those with non-VETC HCC (p < 0.001).

Conclusion: IVIM enhances the accuracy of preoperative prediction of the VETC pattern and provides preoperative noninvasive risk stratification for HCC recurrence.

体素内非相干运动提高肝细胞癌血管包膜肿瘤簇术前预测的准确性。
目的:VETC (vascular encapsulation tumor clusters,血管包裹肿瘤簇)模式的肝细胞癌(HCC)具有较高的复发和转移风险,VETC模式独特的血管结构可能会影响其灌注和扩散,这种影响可以通过体素内不相干运动(IVIM)来捕捉。因此,本研究采用术前IVIM预测HCC的VETC类型,并进行术前无创复发风险分层。患者和方法:前瞻性纳入可疑HCC患者。两名放射科医生独立评估放射学特征并测量表观扩散系数(ADC)、真扩散系数(D)、伪扩散系数(D*)和伪扩散分数(f)。采用Logistic回归分析确定与VETC模式相关的预测因素。采用受试者工作特征(ROC)曲线分析评估预测效果。使用Kaplan-Meier分析和Log rank检验评估无复发生存期。结果:连续队列纳入116例患者(平均年龄55岁±11,94例男性)。116例HCC中29例(25.0%)为VETC HCC。f值(优势比[OR], 0.791;p < 0.001),血清α-胎蛋白水平(bb0 400 ng/mL) (OR, 2.962;p = 0.042),肿瘤内坏死(OR, 6.022;p = 0.015)是VETC模式的独立预测因子。利用这些特征构建ROC曲线下面积为0.854的组合模型。此外,将f值添加到传统的成像-临床模型中,大大提高了其预测性能(p < 0.001)。此外,VETC HCC联合模型患者早期复发的风险也高于非VETC HCC (p < 0.001)。结论:IVIM提高了术前VETC类型预测的准确性,为HCC复发提供了术前无创风险分层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.50
自引率
2.40%
发文量
108
审稿时长
16 weeks
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