Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging.
Williams MC, Bednarski BP, Pieszko K, Miller RJH, Kwiecinski J, Shanbhag A, Liang JX, Huang C, Sharir T, Dorbala S, Di Carli MF, Einstein AJ, Sinusas AJ, Miller EJ, Bateman TM, Fish MB, Ruddy TD, Acampa W, Hauser MT, Kaufmann PA, Dey D, Berman DS, Slomka PJ.
Williams MC, et al. Among authors: acampa w.
Eur J Nucl Med Mol Imaging. 2023 Jul;50(9):2656-2668. doi: 10.1007/s00259-023-06218-z. Epub 2023 Apr 17.
Eur J Nucl Med Mol Imaging. 2023.
PMID: 37067586
Free PMC article.
PURPOSE: Patients with known coronary artery disease (CAD) comprise a heterogenous population with varied clinical and imaging characteristics. ...METHODS: From 37,298 patients in the REFINE SPECT registry, we identified 9221 patients with known coronary …
PURPOSE: Patients with known coronary artery disease (CAD) comprise a heterogenous population with varied clinical and …