基于intravoxel不连贯运动和扩散曲解成像的放射学模型,用于预测软组织肉瘤的组织病理学等级和Ki-67表达水平
Yi-Feng Zhu1, Yu-Shi Li1, Yu Zhang2
1Department of Radiology, The Second Hospital, Dalian Medical University, Dalian, PR China.
Acta radiologica (Stockholm, Sweden : 1987)
|June 14, 2023
概括
这项研究表明,使用intravoxel不连贯运动 (IVIM) 和扩散曲解成像 (DKI) MRI的放射学模型可以准确预测软组织肉瘤 (STS) 等级和Ki-67水平. 这些先进的成像技术为STS评估提供了有希望的非侵入性工具.
科学领域:
- 放射学和成像科学 放射学和成像科学
- 瘤学和癌症研究研究
- 医学物理和生物医学工程
背景情况:
- 准确的组织病理学分类和Ki-67表达水平评估对于管理软组织肉瘤 (STSs) 至关重要.
- 目前的方法通常需要侵入性程序,突出了对非侵入性预测工具的需求.
研究的目的:
- 评估使用intravoxel不连贯运动 (IVIM) 和扩散曲解成像 (DKI) MRI参数的放射学模型的可行性.
- 在STS中预测基因病理学等级和Ki-67表达水平的非侵入性方法.
主要方法:
- 一组42名患有STS的患者接受了IVIM和DKIMRI.
- 放射学特征从显微扩散系数 (ADC),D,D*,f和平均度 (MK) 参数图中提取.
- 支持矢量机 (SVM) 模型被训练并验证以预测等级和Ki-67水平,使用AUC和F1-score评估性能.
主要成果:
- D-SVM模型在预测基因病理学等级方面表现强,在验证队列中达到0.88的AUC.
- MK-SVM模型在预测Ki-67表达水平方面表现最好,在验证队列中AUC为0.83.
- 报告了特定的敏感性,特异性和F1分数,用于低级和高级的等级和Ki-67表达.
结论:
- 开发的放射学分类器,集成IVIM和DKI参数,显示出预测STS病理等级的巨大潜力.
- 该模型还有效预测STS中的Ki-67表达水平,提供了有价值的非侵入性评估工具.
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