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来自3D-MPRAGE成像的放射学特征可以区分时加和时叶

Fangzhao Yin^1,2, Xiaoming Yan¹, Runshi Gao¹

¹Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.

Epileptic disorders : international epilepsy journal with videotape

|June 23, 2023

概括

3D-MPRAGE MRI的放射学分析可以区分时间加 (TPE) 和时间叶 (TLE). 一个逻辑回归模型在区分这些类型方面取得了很高的准确性.

科学领域:

神经学神经学
放射学放射学是一门学科.
医疗成像医学成像

背景情况:

时间叶 (TLE) 和时间叶 (TPE) 是不同的综合征.
准确的区分对于适当的治疗和手术规划至关重要.

研究的目的:

调查3D-MPRAGEMRI中放射学特征的实用性,以区分TPE与TLE.
为此诊断任务开发和评估机器学习模型.

主要方法:

从82名患者 (47名TLE,35名TPE) 的3D-MPRAGE核磁共振成像数据的回顾性分析.
从33个感兴趣的地区提取3531个放射性特征.
使用四种特征选择方法和十种机器学习算法开发了40个差异化模型.

主要成果:

性能最好的模型将后勤回归与浮雕特征选择方法相结合.
该模型实现了0.779的ROC曲线下的面积,准确率为87.5%,灵敏度为80.0%,特异性为92.9%.

结论:

3D-MPRAGE MRI的放射学分析是区分TPE和TLE的可行方法.
后勤回归分类器在这个差异化任务中表现出卓越的性能.

关键词:

这就是MPRAGE.核磁共振 - 阴性机器学习是机器学习.无线电学 (radiomics) 是一种无线电学.时间加上的.

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Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...