Coronary CT Angiography in the Cath Lab: Leveraging Artificial Intelligence to Plan and Guide Percutaneous Coronary Intervention
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...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Radcliffe Medical Media
2023-11-01
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| Series: | Interventional Cardiology: Reviews, Research, Resources |
| Online Access: | https://www.icrjournal.com/articleindex/icr.2023.12 |
| _version_ | 1797199974082019328 |
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| author | Hirofumi Ohashi Frédéric Bouisset Dimitri Buytaert Ruiko Seki Jeroen Sonck Koshiro Sakai Marta Belmonte Pieter Kitslaar Adam Updegrove Tetsuya Amano Daniele Andreini Bernard De Bruyne Carlos Collet |
| author_facet | Hirofumi Ohashi Frédéric Bouisset Dimitri Buytaert Ruiko Seki Jeroen Sonck Koshiro Sakai Marta Belmonte Pieter Kitslaar Adam Updegrove Tetsuya Amano Daniele Andreini Bernard De Bruyne Carlos Collet |
| author_sort | Hirofumi Ohashi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-07T17:38:49Z |
| format | Article |
| id | doaj.art-3c5b8a3a155047929d8195c71d5738fa |
| institution | Directory Open Access Journal |
| issn | 1756-1477 1756-1485 |
| language | English |
| last_indexed | 2024-04-24T07:24:16Z |
| publishDate | 2023-11-01 |
| publisher | Radcliffe Medical Media |
| record_format | Article |
| series | Interventional Cardiology: Reviews, Research, Resources |
| spelling | doaj.art-3c5b8a3a155047929d8195c71d5738fa2024-04-20T16:03:44ZengRadcliffe Medical MediaInterventional Cardiology: Reviews, Research, Resources1756-14771756-14852023-11-011810.15420/icr.2023.12Coronary CT Angiography in the Cath Lab: Leveraging Artificial Intelligence to Plan and Guide Percutaneous Coronary InterventionHirofumi Ohashi0Frédéric Bouisset1Dimitri Buytaert2Ruiko Seki3Jeroen Sonck4Koshiro Sakai5Marta Belmonte6Pieter Kitslaar7Adam Updegrove8Tetsuya Amano9Daniele Andreini10Bernard De Bruyne11Carlos ColletCardiovascular Center OLV, Aalst, Belgium; Department of Cardiology, Aichi Medical University, Aichi, JapanCardiovascular Center OLV, Aalst, Belgium; Department of Cardiology, Toulouse University Hospital, Toulouse, FranceCardiovascular Center OLV, Aalst, BelgiumCardiovascular Center OLV, Aalst, BelgiumCardiovascular Center OLV, Aalst, BelgiumCardiovascular Center OLV, Aalst, Belgium; Department of Cardiology, Showa University Hospital, Tokyo, JapanCardiovascular Center OLV, Aalst, Belgium; Department of Advanced Biomedical Sciences, University Federico II, Naples, ItalyMedis Medical Imaging Systems, Leiden, the NetherlandsHeartFlow Inc., Redwood City, CA, USDepartment of Cardiology, Aichi Medical University, Aichi, JapanDivision of Cardiology and Cardiac Imaging, IRCCS Ospedale Galeazzi – Sant’Ambrogio, Milan, Italy; Department of Biomedical and Clinical Sciences, University of Milan, Milan, ItalyCardiovascular Center OLV, Aalst, Belgium; Department of Cardiology, University Hospital of Lausanne, Lausanne, SwitzerlandThe 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.https://www.icrjournal.com/articleindex/icr.2023.12 |
| spellingShingle | Hirofumi Ohashi Frédéric Bouisset Dimitri Buytaert Ruiko Seki Jeroen Sonck Koshiro Sakai Marta Belmonte Pieter Kitslaar Adam Updegrove Tetsuya Amano Daniele Andreini Bernard De Bruyne Carlos Collet Coronary CT Angiography in the Cath Lab: Leveraging Artificial Intelligence to Plan and Guide Percutaneous Coronary Intervention Interventional Cardiology: Reviews, Research, Resources |
| title | Coronary CT Angiography in the Cath Lab: Leveraging Artificial Intelligence to Plan and Guide Percutaneous Coronary Intervention |
| title_full | Coronary CT Angiography in the Cath Lab: Leveraging Artificial Intelligence to Plan and Guide Percutaneous Coronary Intervention |
| title_fullStr | Coronary CT Angiography in the Cath Lab: Leveraging Artificial Intelligence to Plan and Guide Percutaneous Coronary Intervention |
| title_full_unstemmed | Coronary CT Angiography in the Cath Lab: Leveraging Artificial Intelligence to Plan and Guide Percutaneous Coronary Intervention |
| title_short | Coronary CT Angiography in the Cath Lab: Leveraging Artificial Intelligence to Plan and Guide Percutaneous Coronary Intervention |
| title_sort | coronary ct angiography in the cath lab leveraging artificial intelligence to plan and guide percutaneous coronary intervention |
| url | https://www.icrjournal.com/articleindex/icr.2023.12 |
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