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Contenuto fornito da The Radcliffe Cardiology Podcast. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da The Radcliffe Cardiology Podcast o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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AI in Quantitative CT Assessments: CONFIRM2 with Dr Alexander Van Rosendael

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Manage episode 448770111 series 2990303
Contenuto fornito da The Radcliffe Cardiology Podcast. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da The Radcliffe Cardiology Podcast o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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 managingeditor@ecrjournal.com.
  continue reading

45 episodi

Artwork
iconCondividi
 
Manage episode 448770111 series 2990303
Contenuto fornito da The Radcliffe Cardiology Podcast. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da The Radcliffe Cardiology Podcast o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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 managingeditor@ecrjournal.com.
  continue reading

45 episodi

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