Key result
New public dataset provides 231 coronary angiography images with SYNTAX scores for machine learning research.
Why the study?
Coronary angiography suffers from operator bias, inter-observer variability, and poor reproducibility, but developing AI-based automated angiogram interpretation requires datasets of X-ray angiography images with clinical information.
Observational (n=231)
No
The creation of a publicly available dataset of X-ray coronary angiograms with corresponding SYNTAX scores provides a valuable resource for developing machine learning algorithms for automated coronary artery disease diagnosis.
Provides open-access data for ML-based SYNTAX scoring; leaves open prospective validation before clinical use.
Coronary Heart Disease (CHD) is becoming a leading cause of death worldwide. To assess coronary artery narrowing or stenosis, doctors use coronary angiography, which is considered the gold-standard method. Interventional cardiologists rely on angiography to decide on the best course of treatment for CHD, such as revascularization with bypass surgery, coronary stents, or medication. However, angiography has some issues, including operator bias, inter-observer variability, and poor reproducibility. The automated interpretation of coronary angiography is yet to be developed, and these tasks can only be performed by highly specialized physicians. Developing automated angiogram interpretation and coronary artery stenosis estimation using Artificial Intelligence (AI) approaches requires a large dataset of X-ray angiography images that include clinical information. We have collected 231 X-ray images of heart vessels, along with the necessary angiographic variables, including the SYNTAX score, to support the advancement of research on CHD-related machine learning and data mining algorithms. We hope that this dataset will ultimately contribute to advances in clinical diagnosis of CHD.
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Mahmoudi et al. (2025) conducted an observational in Coronary Heart Disease (n=231). X-ray coronary angiogram images and SYNTAX score dataset was evaluated. A dataset of 231 X-ray coronary angiography images with corresponding SYNTAX scores was compiled and made publicly available to support machine learning research in coronary heart disease diagnosis.
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