Machine Learning Algorithms to Distinguish Myocardial Perfusion SPECT Polar Maps.

ABSTRACT: Myocardial perfusion imaging (MPI) plays an important role in patients with suspected and documented coronary artery disease (CAD). Machine Learning (ML) algorithms have been developed for many medical applications with excellent performance. This study used ML algorithms to discern normal and abnormal gated Single Photon Emission Computed Tomography (SPECT) images. We analyzed one thousand and seven polar maps from a database of patients referred to a university hospital for clinically indicated MPI between January 2016 and December 2018. These studies were reported and evaluated by two different expert readers. The image features were extracted from a specific type of polar map segmentation based on horizontal and vertical slices. A senior expert reading was the comparator (gold standard

SUBMITTER: de Souza Filho EM 

PROVIDER: S-EPMC8660123 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature