Combined prognostic value of AI-derived CT-FFR and high-risk plaque characteristics in patients with newly diagnosed chronic coronary syndrome: a prospective cohort study.

ABSTRACT:

Background

While coronary computed tomography angiography (CTA) is widely used for diagnosing chronic coronary syndrome (CCS), its potential for assessing physiological function and plaque vulnerability-through AI-derived fractional flow reserve (CT-FFR) and high-risk plaque characteristics (HRPC)-is not fully leveraged in clinical practice. The combined prognostic value of these non-invasive tools in newly diagnosed CCS patients remains underexplored.

Objective

To evaluate the individual and combined prognostic value of AI-based CT-FFR and HRPC in predicting major adverse cardiovascular events (MACE) in patients with newly diagnosed CCS.

Methods

In this observational cohort study, 222 inpatients newly diagnosed with CCS who were admitted for non-acute chest pain and

SUBMITTER: Zhang R 

PROVIDER: S-EPMC12708924 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature