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在肝细胞癌中使用高b值的非高斯扩散加权成像来进行VETC的术前预测:试点研究

Chenhui Li¹, Yan Wen¹, Jinhuan Xie¹

¹Department of Radiology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

Frontiers in oncology

|June 12, 2023

概括

扩散曲解成像 (DKI) 和连续时间随机步行 (CTRW) 参数有效预测肝细胞癌 (HCC) 患者的瘤集群 (VETC) 封装血管. 这些先进的模型在识别VETC方面表现优于传统ADC,有助于HCC转移的预测.

科学领域:

放射学和成像学放射学和成像学
在瘤学瘤学.
医学物理医学物理

背景情况:

封装瘤集群的血管 (VETC) 是肝细胞癌 (HCC) 转移的一个重要因素.
准确的手术前识别VETC对于治疗计划和预后至关重要.

研究的目的:

评估来自单指数和高级非高斯模型的扩散参数在预测HCC中VETC方面的有效性.
为了比较扩散曲解成像 (DKI),拉伸指数 (SEM),分数计算 (FROC) 和连续时间随机步行 (CTRW) 模型的诊断性能与传统的显微扩散系数 (ADC).

主要方法:

预期招募86名HCC患者 (40名VETC阳性,46名VETC阴性).
使用6个b值 (0-3000秒/mm2) 获取扩散权重图像.
从DKI,SEM,FROC,CTRW模型和ADC计算扩散参数;VETC阳性和阴性组之间的统计比较;用于预测模型开发的后勤回归;用于绩效评估的ROC分析.

主要成果:

DKI_K和CTRW_α参数显示了VETC阳性和VETC阴性HCC组之间的显著差异 (P=0.002和0.004分别).
在DKI_K和CTRW_α的组合模型中,与单个参数 (AUC=0.678和0.672) 相比,VETC预测的ROC曲线下的面积 (AUC=0.747) 更高.

结论:

与传统的ADC相比,DKI_K和CTRW_α在HCC中预测VETC方面表现优越.
这些先进的扩散模型有望改善手术前对HCC转移风险的评估.

关键词:

扩散权重图像扩散权重图像扩散权重图像肝细胞癌是肝细胞癌.磁共振成像技术的使用非高斯模型的模型.预测预测预测预测这些血管封装了瘤集群.

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