SPECT/CT algorithm predicts heart failure hospitalizations

This study represents the first evidence, to our knowledge, demonstrating that integrating SPECT MPI into an AI-based risk assessment algorithm significantly improves the prediction of hospitalizations due to [heart failure],” the group wrote. The research was published March 28 in the Journal of Nuclear Medicine.Heart failure is a major cause of morbidity and mortality in the United States and worldwide, with prevalence projected to increase by almost 50% from 2012 to 2030, the authors wrote. They noted that identifying patients who are at risk for heart failure exacerbation can open opportunities for prevention strategies.AI has been previously used to predict potentially fatal events in patients with cardiovascular artery disease undergoing SPECT MPI, yet an AI model has yet to be developed that can predict heart failure exacerbations, they added.To that end, the researchers culled data from a registry of patients who underwent dedicated nuclear cardiology SPECT imaging using cadmium zinc telluride solid-state detector systems (Discovery NM 530c or Discovery NM/CT 570c, GE HealthCare) at two sites: Yale University and the University of Calgary.The heart failure risk prediction model was developed using the Yale University cohort (n = 4,766) and was trained to make decisions based on standard clinical risk factors, SPECT imaging parameters, such as left ventricular ejection fraction (LVEF) measurements, and coronary artery calcium scores from CT scans. In this cohort, hea...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Molecular Imaging Artificial Intelligence Source Type: news