Coronary CT Angiography in the Cath Lab: Leveraging Artificial Intelligence to Plan and Guide Percutaneous Coronary Intervention

Author:

Ohashi Hirofumi1,Bouisset Frédéric2ORCID,Buytaert Dimitri3ORCID,Seki Ruiko3ORCID,Sonck Jeroen3ORCID,Sakai Koshiro4,Belmonte Marta5ORCID,Kitslaar Pieter6ORCID,Updegrove Adam7,Amano Tetsuya8ORCID,Andreini Daniele9ORCID,De Bruyne Bernard10,Collet CarlosORCID

Affiliation:

1. Cardiovascular Center OLV, Aalst, Belgium; Department of Cardiology, Aichi Medical University, Aichi, Japan

2. Cardiovascular Center OLV, Aalst, Belgium; Department of Cardiology, Toulouse University Hospital, Toulouse, France

3. Cardiovascular Center OLV, Aalst, Belgium

4. Cardiovascular Center OLV, Aalst, Belgium; Department of Cardiology, Showa University Hospital, Tokyo, Japan

5. Cardiovascular Center OLV, Aalst, Belgium; Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy

6. Medis Medical Imaging Systems, Leiden, the Netherlands

7. HeartFlow Inc., Redwood City, CA, US

8. Department of Cardiology, Aichi Medical University, Aichi, Japan

9. Division of Cardiology and Cardiac Imaging, IRCCS Ospedale Galeazzi – Sant’Ambrogio, Milan, Italy; Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy

10. Cardiovascular Center OLV, Aalst, Belgium; Department of Cardiology, University Hospital of Lausanne, Lausanne, Switzerland

Abstract

The role of coronary CT angiography for the diagnosis and risk stratification of coronary artery disease is well established. However, its potential beyond the diagnostic phase remains to be determined. The current review focuses on the insights that coronary CT angiography can provide when planning and performing percutaneous coronary interventions. We describe a novel approach incorporating anatomical and functional pre-procedural planning enhanced by artificial intelligence, computational physiology and online 3D CT guidance for percutaneous coronary interventions. This strategy allows the individualisation of patient selection, optimisation of the revascularisation strategy and effective use of resources.

Publisher

Radcliffe Media Media Ltd

Subject

Cardiology and Cardiovascular Medicine

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