基于多个序列MRI最佳VOI的放射性诺米克图,用于预测肝脏内胆管癌中的微血管入侵
Xijuan Ma1, Xianling Qian2,3,4, Qing Wang5
1Department of Radiology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, No. 199 Jiefang South Road, Quanshan District, Xuzhou, 221009, Jiangsu, People's Republic of China.
La Radiologia medica
|September 7, 2023
概括
这项研究开发了一种使用多序MRI的放射学名图,用于预测肝脏内胆管癌 (ICC) 中的微血管入侵 (MVI). 纳米图,结合瘤大小和管道扩张,显示高准确性为手术前MVI预测.
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
- 医疗成像医学成像
背景情况:
- 微血管侵袭 (MVI) 是肝内胆管癌 (ICC) 的关键预后因素.
- 准确的MVI手术前预测对于选择适合ICC患者的治疗策略至关重要.
研究的目的:
- 在ICC中开发和验证用于预测MVI的放射学名录.
- 为了确定MVI预测的最佳MRI序列和感兴趣的体积 (VOI).
主要方法:
- 160个ICC病变接受了多序MRI,数据分为训练和验证队列.
- 从4个VOI的6个MRI序列中提取了放射学特征,使用LASSO算法进行特征选择.
- 使用独立的临床预测因素和最佳放射学特征构建了一个名图.
主要成果:
- 瘤大小和肝管内扩张被确定为独立的MVI预测因子.
- 最优的放射学模型使用了三个MRI序列 (T1WI-D,T1WI,DWI) 与10mm周围瘤VOI (VOI10mm).
- 在训练 (AUC=0.995) 和验证 (AUC=0.867) 队列中,名图显示了高预测性能.
结论:
- 在VOI10mm的临床因素和多序MRI放射学集成的nomogram是一个有前途的工具,用于在ICC中进行手术前的MVI预测.
- 这种方法可以帮助为ICC患者进行个性化治疗计划.
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