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在宫癌中预测参数入侵的Intravoxel不连贯运动扩散加权成像和动态对比增强MRI

Xin-Xiang Li¹, Bing Liu², Ying Cui¹

¹Nurturing Center of Jiangsu Province for State Laboratory of AI Imaging & Interventional Radiology, Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210009, China.

Abdominal radiology (New York)

|May 16, 2024

概括

内素不连贯运动扩散加权成像 (IVIM-DWI) 和动态对比增强MRI (DCE-MRI) 可以预测宫癌的参数入侵 (PMI). 综合参数在识别PMI时显示出高准确度.

科学领域:

瘤成像学成像学
放射学放射学是一门学科.
医学物理医学物理

背景情况:

宫入侵 (PMI) 是宫癌的关键预后因素.
准确的PMI手术前评估对于治疗规划至关重要.
先进的MRI技术为非侵入性评估宫癌传播提供了潜在的潜力.

研究的目的:

评估intravoxel不连贯运动扩散权重成像 (IVIM-DWI) 和动态对比增强磁共振成像 (DCE-MRI) 对宫癌患者的参数入侵 (PMI) 的预测性能.
确定关键的MRI参数,可以独立预测PMI.
评估用于PMI检测的综合MRI参数模型的诊断效果.

主要方法:

对83名宫癌患者 (32名PMI阳性,51名PMI阴性) 的预治疗IVIM-DWI和DCE-MRI扫描进行了回顾性分析.
获取IVIM-DWI参数 (ADC,D,D*,f) 和DCE-MRI参数 (Ktrans,Kep,Ve) 的数据.
后勤回归和ROC曲线分析以确定PMI的独立预测因子和预测性表现.

主要成果:

多变量分析确定了IVIM-DWI的D,D*,f和DCE-MRI的Ktrans,Kep作为PMI的独立预测因素.
综合MRI参数模型显示出优异的预测性能.
组合模型的AUC为0.906,PMI检测的灵敏度为84.4%,特异性为86.3%.

结论:

IVIM-DWI和DCE-MRI参数是宫癌中参数入侵的重要独立预测因素.
综合MRI参数模型显示了高精度和有利的性能来识别PMI.
这些先进的MRI技术可以帮助对怀疑PMI的宫癌患者进行非侵入性评估和管理.

关键词:

宫癌是发生在宫癌的原因之一.扩散加权成像技术的使用.动态对比增强增强的动态对比.内素不连贯的运动.参数入侵是指参数入侵.

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