A Multidimensional Plaque Rupture Risk Early Warning System

A risk warning, multi-dimensional technology, applied in cardiac catheterization, applications, echo tomography, etc., can solve the problem of lack of early warning models and monitoring methods
CN110223781BActive Publication Date: 2021-06-04THE FIRST HOSPITAL OF CHINA MEDICIAL UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
THE FIRST HOSPITAL OF CHINA MEDICIAL UNIV
Publication Date
2021-06-04

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Abstract

A multi-dimensional plaque rupture risk early warning system provided by the present invention integrates the obtained CCTA vulnerable plaque automatic identification method with deep learning-based CT real-time hemodynamic analysis technology to create a more efficient, sensitive and accurate The non-invasive plaque rupture risk early warning model provides a comprehensive and reliable basis and key technical means for the intelligent non-invasive accurate detection and early warning of coronary plaque rupture.
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Description

Technical field

[0001] The present invention relates to a multi-dimensional plaque breakage risk warning system. Background technique

[0002] Coronary heart disease is a serious hazard of human health, a large number of studies have shown that it is the main factor in which bloodstock formation is caused by acute cardiovascular events (ACS). Although the understanding of the atherosclerosis plaque is constantly improving, it is difficult to accurately diagnose due to the characteristics of vulnerable plaques with symptomatic occult, rupture burst.

[0003] In recent years, coronary artery production (CAG) has been used as a gold standard for assessing coronary heart disease. However, it only provides information on the lumen, and cannot determine the case of coronary blood wall and the inside of the plaque in detail. Intravascularultrasound (IVUS) and Optical Oherence Tomography, Octs are used as intra-angiogenic imaging detection techniques, and their superiority is more and mo...

Claims

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