在脑瘤诊断中实现多参数MRI放射学特征的成像和计算可重复性:幻影和临床验证
E-Nae Cheong1, Ji Eun Park2, Seo Young Park3
1Department of Medical Science and Asan Medical Institute of Convergence Science and Technology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
European radiology
|September 4, 2023
概括
确定了高度可复制的MRI放射学特征,特别是在T2加权成像中. 这些可重现的特征提高了诊断性能,使其能够从主要中枢神经系统淋巴瘤中区分质母细胞瘤.
科学领域:
- 医疗成像医学成像
- 无线电学 (Radiomics) 是一种放射学.
- 神经瘤学神经瘤学
背景情况:
- 图像生物标志物标准化倡议提高了MRI放射学的计算可重现性.
- 建立可重现的MRI序列和特征对于临床应用至关重要.
- 多参数MRI放射学具有用于脑瘤诊断的潜力.
研究的目的:
- 通过测试复试,多扫描仪和计算比较,识别可重现的多参数MRI放射学特征.
- 评估可复制放射性特征在脑瘤诊断中的临床价值.
- 为了比较T1加权成像 (T1WI),T2加权成像 (T2WI) 和扩散加权成像 (DWI) 放射学特征的可重复性.
主要方法:
- 从使用标准化幻影的3个3-T MRI扫描仪获得T1WI,T2WI和DWI.
- 使用两个计算算法提取了放射学特征.
- 选择可复制特征 (一致性相关系数>0.9) 和训练随机森林分类器用于临床验证,以区分质母细胞瘤与PCNSLs.
主要成果:
- 与DWI (6) 和T1WI (2) 相比,T2WI产生了更多可复制的放射性特征 (41).
- 来自T2WI的放射学特征显示出比DWI (38-48%) 或T1WI (2-92%) 更高的重复性 (65-94%).
- 使用可复制特征的分类模型在验证中表现出高于非可复制特征 (AUC 0.869) 的性能 (AUC 0.957).
结论:
- 在多个会议,扫描仪和算法中确定了高度可重现的放射性特征.
- 可复制的放射性特征,特别是T2WI的特征,提高了脑瘤分化的诊断性能.
- 这些发现支持可再生放射学在神经瘤学中的临床应用.
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