AI-Derived Splenic Response in Cardiac PET Predicts Mortality: A Multi-Site Study.

ABSTRACT:

Background

Inadequate pharmacologic stress may limit the diagnostic and prognostic accuracy of myocardial perfusion imaging (MPI). The splenic ratio (SR), a measure of stress adequacy, has emerged as a potential imaging biomarker.

Objectives

To evaluate the prognostic value of artificial intelligence (AI)-derived SR in a large multicenter ⁸² Rb-PET cohort undergoing regadenoson stress testing.

Methods

We retrospectively analyzed 10,913 patients from three sites in the REFINE PET registry with clinically indicated MPI and linked clinical outcomes. SR was calculated using fully automated algorithms as the ratio of splenic uptake at stress versus rest. Patients were stratified by SR into high (≥90th percentile) and low (<90th percentile) groups. The primary ou

SUBMITTER: Dharmavaram NL 

PROVIDER: S-EPMC12262751 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature