Emcy Louw, Robert J Mash
Registrars' experience with research in family medicine training programmes in South Africa
South African family practice : official journal of the South African Academy of Family Practice/Primary Care
lowdose computed tomography scans traditionally used attenuation correction hybrid myocardial perfusion imaging mpi also contain additional anatomic pathologic information utilized clinical assessment seek uncover full potential scans utilizing holistic artificial intelligence aidriven image framework image assessment patients spectct mpi 4 refine spect registry sites studied multistructure model segmented 33 structures quantified 15 radiomics features ct attenuation correction ctac scans coronary artery calcium epicardial adipose tissue scores obtained separate deeplearning models normal standard quantitative mpi features derived clinical software extreme gradient boosting derived allcause mortality risk scores spect ct stress test clinical features utilizing 10fold crossvalidation regimen separate training testing data performance models prediction allcause mortality evaluated using area receiveroperating characteristic curves aucs 10480 patients 5745 548 male median age 65 interquartile range iqr 5773 years median followup 29 years 1640 651 62 patients died auc mortality prediction model combining ctac mpi clinical data 080 95 confidence interval 074087 higher ai ctac model 078 071085 ai hybrid model 079 072086 incorporating ctac mpi data p0001 patients normal perfusion comprehensive model 076 065086 significantly better performance ai ctac 072 061083 ai hybrid 073 062084 models p0001 allctac significantly enhances ai risk stratification mpi spectct beyond primary role attenuation correction comprehensive multimodality approach significantly improve mortality prediction compared mpi information alone patients undergoing cardiac spectct