"The risk estimate that you get from doing the machine learning version of the model is more accurate than the risk estimate you're going to get if you rely on CAD-RADS," Dr. Johnson said. "Both methods perform better than just using the Framingham risk estimate. This shows the value of looking at the coronary arteries to better estimate people's risk."
If machine learning can improve vessel scoring, it would enhance the contribution of noninvasive imaging to cardiovascular risk assessment. Additionally, the ML-derived vessel scores could be combined with non-imaging risk factors such as age, gender, hypertension and smoking to develop more comprehensive risk models. This would benefit both physicians and patients.
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"Once you use a tool like this to help see that someone's at risk, then you can get the person on statins or get their glucose under control, get them off smoking, get their hypertension controlled, because those are the big, modifiable risk factors," he said.
Dr. Johnson is currently working on a paper that takes results from this study and folds them into the bigger picture with non-imaging risk factors.
"If you add people's ages and particulars like smoking, diabetes and hypertension, that should increase the overall power of the method and improve the overall results," he said.
"Scoring of Coronary Artery Disease Characteristics on Coronary CT Angiograms by Using Machine Learning." Collaborating with Dr. Johnson were Hilary E. Johnson, B.A., Yang Zhao, Ph.D., David A. Dowe, M.D., and Lawrence H. Staib, Ph.D.
Radiology is edited by David A. Bluemke, M.D., Ph.D., University of Wisconsin School of Medicine and Public Health, Madison, Wis., and owned and published by the Radiological Society of North America, Inc. (https://pubs.rsna.org/journal/radiology)
RSNA is an association of over 53,400 radiologists, radiation oncologists, medical physicists and related scientists promoting excellence in patient care and health care delivery through education, research and technologic innovation. The Society is based in Oak Brook, Ill.
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