使用多模型MRI放射学和临床变量预测急性缺血性中风的长期结果
Lai Wei1,2, Xianpan Pan3, Wei Deng3
1Department of Medical Imaging, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Frontiers in medicine
|March 18, 2024
概括
这项研究开发了一种使用放射学和临床特征的预测模型,以识别急性缺血性中风 (AIS) 患者,这些患者面临着不良结果的高风险. 结合这些特征显著提高了预测准确度,帮助个性化康复策略.
科学领域:
- 医疗成像医学成像
- 放射学 放射学是一门学科.
- 神经学 神经学
背景情况:
- 急性缺血性中风 (AIS) 构成了重大挑战,预测患者的结果对于有效管理至关重要.
- 目前的预测方法可能无法完全捕捉中风病理生理学和预后的复杂性.
研究的目的:
- 开发和验证一种新型预测模型,用于识别具有不良结果高风险的AIS患者.
- 整合多模式放射学特征与多临床数据,以提高预测准确度.
主要方法:
- 分析了461名AIS患者的队列,分为培训和验证组.
- 从扩散加权成像 (DWI) 和明显扩散系数 (ADC) 图像中提取了放射学特征.
- 预测模型是使用放射学特征,多临床数据和两者的组合构建的.
主要成果:
- 放射学和多临床模型的组合实现了0.86的AUC,用于预测验证组中的糟糕结果.
- 个别放射学模型显示AUC范围从0.727 (DWI) 到0.825 (DWI+ADC).
- 多临床模型的AUC达到0.808.
结论:
- 来自DWI和ADC的放射学特征是预测AIS中糟糕结果的有价值的生物标志物.
- 结合放射学和多临床特征,显著提高了预测性能.
- 开发的模型可以为AIS患者指导个性化康复策略.
关键词:
急性缺血性中风 (AIS) 是一种严重的疾病.看似的扩散系数 (ADC)扩散权重成像 (DWI) 的使用.机器学习 (ML) 是指机器学习.预后 预后 预后无线电学 (radiomics) 是一种无线电学.更多相关视频
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
8.2K
10:25Brain Infarct Segmentation and Registration on MRI or CT for Lesion-symptom Mapping
Published on: September 25, 2019
48.0K
相关概念视频
01:24Magnetic 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...
01:21Imaging Studies for Cardiovascular System IV: CMRI
Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...