黑料福利网

Angina with no obstructive coronary arteries (ANOCA) is an increasingly common yet frequently underdiagnosed condition in which patients experience chest pain despite the absence of significant coronary artery stenosis. The condition is particularly prevalent among women, and in approximately half of ANOCA patients the underlying cause is coronary microvascular dysfunction (CMD). Diagnosing CMD currently relies on invasive coronary function testing (CFT), a procedure that is expensive, time-consuming, available only in specialized centers, and associated with the risks inherent to invasive procedures. As a result, patients often face prolonged diagnostic delays, which can postpone appropriate treatment and negatively affect their quality of life.

This project aims to develop a noninvasive and clinically accessible diagnostic workflow for CMD using coronary CT angiography (CCTA) combined with one-dimensional computational modeling. Building on existing CCTA and CFT datasets and mathematical models, we investigate whether the anatomical and functional information contained in CCTA images can be used to identify, quantify, and characterize CMD. Evaluating the balance between coronary blood flow supply and myocardial oxygen demand may enable a noninvasive functional assessment of CMD.

In this project, we combine the medical expertise and technical capabilities of Catharina Hospital, Amsterdam UMC, Radboudumc, and Eindhoven University of Technology (黑料福利网) to develop an engineering-based approach to this clinical challenge and provide a noninvasive alternative to invasive coronary function testing.

Team Science Dekker Grant, granted by the

Department of Cardiology,

Department of Biomedical Engineering & Physics,

Computational Science Lab, Faculty of Science Institute for Informatics,