07 Jan 22. Featured Paper
Machine learning with 18F-sodium fluoride PET and quantitative plaque analysis on CT angiography for the future risk of myocardial infarction.
Jacek Kwiecinski, Evangelos Tzolos, Mohammed N. Meah, Sebastien Cadet, Philip D. Adamson, Kajetan Grodecki, Nikhil V. Joshi, Alastair J. Moss, Michelle C. Williams, Edwin J.R. van Beek, Daniel S. Berman, David E. Newby, Damini Dey, Marc R. Dweck and Piotr J. Slomka
We combined both of these novel imaging approaches to develop an optimal machine-learning model for the future risk of myocardial infarction in patients with stable coronary disease.
Results: Among 293 study participants (65 ± 9 y; 84% male), 22 subjects experienced a myocardial infarction over the 53 (40–59) months of follow-up.
On univariable receiver-operator-curve analysis, only 18F-NaF coronary uptake emerged as a predictor of myocardial infarction (c-statistic 0.76, 95% CI 0.68–0.83).
When incorporated into machine-learning models, clinical characteristics showed limited predictive performance (c-statistic 0.64, 95% CI 0.53–0.76) and were outperformed by a quantitative plaque analysis-based machine-learning model (c-statistic 0.72, 95% CI 0.60–0.84).
After inclusion of all available data (clinical, quantitative plaque and 18F-NaF PET), we achieved a substantial improvement (P = 0.008 versus 18F-NaF PET alone) in the model performance (c-statistic 0.85, 95% CI 0.79–0.91).
Conclusion: Both 18F-NaF uptake and quantitative plaque analysis measures are additive and strong predictors of outcome in patients with established coronary artery disease.
Optimal risk stratification can be achieved by combining clinical data with these approaches in a machine-learning model.
This research was originally published in JNM. Kwiecinski J, et al., Machine Learning with 18F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial Infarction. J Nucl Med. 2022;63;158-165. © SNMMI.
Social media tags and titles
Featured paper: Machine learning with 18F-sodium fluoride PET and quantitative plaque analysis on CT angiography for the future risk of myocardial infarction.