多模式可解释的人工智能识别了患有非缺血性心肌病的患者,这些患者有致命腹腔心律不整的风险
Maarten Z H Kolk1,2, Samuel Ruipérez-Campillo3,4, Cornelis P Allaart5
1Department of Clinical and Experimental Cardiology, Heart Center, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, Amsterdam, 1105 AZ, The Netherlands.
Scientific reports
|June 27, 2024
概括
结合心脏MRI和心电图数据的新型深度学习模型准确地预测非缺血性心肌病患者的腹腔失常. 这种方法改善了心力衰竭患者突然心脏死亡预防的风险分层.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 医疗成像医学成像
背景情况:
- 在非缺血性心肌病中,可植入式心脏转换器-除器 (ICD) 对预防心脏突然死亡的初级预防的作用受到争议.
- 准确预测恶性心室节律失常对于指导ICD治疗至关重要.
研究的目的:
- 开发和验证用于预测心室心律失常的多式深度学习模型.
- 整合心脏磁共振成像 (LGE-MRI),心电图 (ECG) 和临床数据,以提高风险预测.
主要方法:
- 追溯分析了289名非缺血性心肌病患者的队列,这些患者接受了ICD植入.
- 一个残余变量自编码器从LGE-MRI和ECG中提取了特征.
- 一个机器学习模型 (DEEP RISK) 将这些特征与临床数据相结合,以预测心室节律失常.
主要成果:
- 多模式DEEP RISK模型实现了AUROC为0.84的预测恶性心室节律失常.
- 在验证队列中,灵敏度为0.98,特异性为0.73.
- 使用单个数据模式的模型与多式联络方法相比,显示出较低的预测性能.
结论:
- 综合LGE-MRI,心电图和临床数据的多式深度学习为心室失常提供了高预后准确性.
- 这种方法可以帮助在非缺血性心力衰竭患者中对心脏突然死亡的风险分层.
- 深度风险模型为指导ICD植入决策提供了一个有希望的工具.
相关概念视频
01:28Mechanism of Cardiac Arrhythmias
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Arrhythmias are irregular heart rhythms occurring when the heart's electrical impulses become abnormal. These disturbances can lead to various symptoms, depending on their severity and the underlying cause. Some common factors contributing to arrhythmias include hypoxia, ischemia, electrolyte imbalances, excessive catecholamine exposure, drug toxicity, and muscle overstretching. Arrhythmias can be classified into two main types based on the rate and site of origin of abnormal heart rhythms.
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01:28Disturbances in Heart Rhythm
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Arrhythmia or dysrhythmia refers to an abnormal heart rhythm caused by a defect in the heart's conduction system. It can cause the heart to beat irregularly, too quickly, or too slowly, leading to symptoms like chest pain, shortness of breath, and fainting. Factors such as stress, caffeine, alcohol, nicotine, cocaine, certain drugs, congenital defects, diseases, and electrolyte abnormalities can trigger arrhythmias.
Arrhythmias are categorized by their speed, rhythm, and origin. A slow...
Arrhythmias are categorized by their speed, rhythm, and origin. A slow...
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