Nov 06 2024 10 mins
In this episode of the "Innovations in Cardiology" series, host Dr Dipti Itchhaporia (Hoag Heart and Vascular Institute, Newport Beach, CA, US) is joined by Dr Alexander Van Rosendael (Leiden University Medical Center, Leiden, NL) to discuss the findings from the CONFIRM2 trial. Conducted from up to 50 international clinical CCTA sites with 35,000 patients, CONFIRM2 aims to improve comprehensive quantification of coronary computed tomography angiography findings using an artificial intelligence algorithm that will enable an accurate quantification of coronary artery disease, including total coronary plaque volume and low attenuation plaque volume.
Findings showed that AI-guided quantative computational tomography quantification of coronary CTA lumen diameter stenosis and the noncalcified plaque volume were most predictive of MACE and added discriminative accuracy to the Diamond and Forrester predictive model. These atherosclerotic profiles as assessed by AI-QCT could guide the tailoring of anti atherosclerotic therapies or coronary interventional procedures to reduce the instance of cardiac events.
If you have any questions or suggestions for topics to cover on the Radcliffe Podcast, please email [email protected].
Findings showed that AI-guided quantative computational tomography quantification of coronary CTA lumen diameter stenosis and the noncalcified plaque volume were most predictive of MACE and added discriminative accuracy to the Diamond and Forrester predictive model. These atherosclerotic profiles as assessed by AI-QCT could guide the tailoring of anti atherosclerotic therapies or coronary interventional procedures to reduce the instance of cardiac events.
If you have any questions or suggestions for topics to cover on the Radcliffe Podcast, please email [email protected].