心包脂肪放射组学：在常规心脏CT上早期预测心衰的新途径

MedAI Digest (ZH)
MedAI Digest (ZH)
心包脂肪放射组学：在常规心脏CT上早期预测心衰的新途径
Loading
/

一项包含超过7万人的多中心研究表明，通过放射组学分析常规心脏CT中的心包脂肪组织，可以识别早期心肌重塑信号，为无症状患者进行心衰风险分层，其诊断效能达到0.85以上。

Original paper: Early Prediction of Heart Failure From Routine Cardiac CT Using Radiomic Phenotyping of Epicardial Fat. — Journal of the American College of Cardiology. 10.1016/j.jacc.2026.02.5116

📄 阅读文章

Leave a Reply

Your email address will not be published. Required fields are marked *

CAPTCHA


Trending now

Quantitative pathology and APOE genotype reveal dementia risk and progression in Lewy body disease.
APOE Genotype and Protein Pathology Shape Dementia Risk in Lewy Body Disease
Transfer-learning guided design of high-performance conjugated polymers for low-voltage electrochemical transistors.
Machine Learning Accelerates Discovery of Ultra-Low-Voltage Polymers
AI-guided multi-omics analysis identifies NPC1-modulated susceptibility to SARS-CoV-2 infection under PM2.5 exposure.
Air Pollution and COVID-19: How NPC1 Mediates SARS-CoV-2 Infection Risk
Personalized artificial intelligence based left ventricular ejection fraction and systolic dysfunction assessment.
ECG-Based AI Models Enable Cost-Effective Cardiac Function Assessment