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REVIEW article

Front. Cardiovasc. Med.
Sec. Cardiovascular Imaging
Volume 11 - 2024 | doi: 10.3389/fcvm.2024.1468888
This article is part of the Research Topic Glimpse to the Past – the Evolution of the Role of Imaging in Cardio Therapeutics View all 4 articles

Coronary angiography: State-of-the-art review Glimpse into the past, current and future -the evolution of angiography in Cardio Therapeutics

Provisionally accepted
Aishwarya Prakash Naik Gurav Aishwarya Prakash Naik Gurav 1Pruthvi C Revaiah Pruthvi C Revaiah 1Tsung-Ying Tsai Tsung-Ying Tsai 1Kotaro Miyashita Kotaro Miyashita 1Akihiro Tobe Akihiro Tobe 1Asahi Oshima Asahi Oshima 1Emelyne Sevestre Emelyne Sevestre 1Scot Garg Scot Garg 2Jean-Paul Aben Jean-Paul Aben 3Johan H C Reiber Johan H C Reiber 4Marie Angele Morel Marie Angele Morel 1Cheol Whan Lee Cheol Whan Lee 5Bon-Kwon Koo Bon-Kwon Koo 6Simone Biscaglia Simone Biscaglia 7Carlos Collet Carlos Collet 8Christos Bourantas Christos Bourantas 9Javier Escaned Javier Escaned 10Yoshinobu Onuma Yoshinobu Onuma 1*Patrick W Serruys Patrick W Serruys 1
  • 1 CORRIB Research Centre for Advanced Imaging and Core Laboratory, University of Galway, Ireland, Galway, Ireland
  • 2 Royal Blackburn Hospital, Blackburn, United Kingdom
  • 3 Pie Medical Imaging BV, Maastricht, the Netherlands, Maastricht, Netherlands
  • 4 Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands; Medis Medical Imaging Systems BV, Leiden, The Netherlands, Leiden, Netherlands
  • 5 Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea, Seoul, Republic of Korea
  • 6 Seoul National University Hospital, Seoul, Republic of Korea, Seoul, Republic of Korea
  • 7 Cardiology Unit, Azienda Ospedaliero Universitaria di Ferrara, Ferrara, Ferrara, Italy
  • 8 Cardiovascular Center, OLV Aalst, Aaslt, Belgium
  • 9 Department of Cardiology, Barts Heart Center, Barts Health NHS Trust, London, United Kingdom, London, United Kingdom
  • 10 Hospital Clínico San Carlos IDISSC, Complutense University of Madrid and CIBER-CV, Madrid, Spain, Madrid, Spain

The final, formatted version of the article will be published soon.

    Traditionally coronary angiography was restricted to visual estimation of contrast-filled lumen in coronary obstructive diseases. Over the decades considerable development has been made in quantitatively analyzing coronary angiography, significantly improving its accuracy and reproducibility. Significant advances have been made to improve its accuracy and reproducibility. Notably, the integration of artificial intelligence (AI) and machine learning into quantitative coronary angiography (QCA) holds promise for further enhancing diagnostic accuracy and predictive capabilities. Additionally, noninvasive fractional flow reserve (FFR) indices, including CT-FFR, have emerged as valuable tools, offering precise physiological assessment of coronary artery disease without the need for invasive procedures. These innovations allow for a more comprehensive evaluation of disease severity and aid in guiding revascularization decisions. This review traces the development of QCA technologies over the years, highlighting key milestones and current advancements.It also explores prospects that could revolutionize the field, such as AI integration and improved imaging techniques. By addressing both historical context and future directions, the article underscores the ongoing evolution of QCA and its critical role in the accurate assessment and management of coronary artery diseases. Through continuous innovation, QCA is poised to remain at the forefront of cardiovascular diagnostics, offering clinicians invaluable tools for improving patient care.

    Keywords: Coronary Angiography, Angiography Based Fractional Flow Reserve, Computed tomography coronary angiography, Percutaneous Coronary Intervention, pullback pressure gradient, Wall Shear Stress (WSS)

    Received: 22 Jul 2024; Accepted: 14 Oct 2024.

    Copyright: © 2024 Gurav, C Revaiah, Tsai, Miyashita, Tobe, Oshima, Sevestre, Garg, Aben, Reiber, Morel, Lee, Koo, Biscaglia, Collet, Bourantas, Escaned, Onuma and Serruys. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Yoshinobu Onuma, CORRIB Research Centre for Advanced Imaging and Core Laboratory, University of Galway, Ireland, Galway, Ireland

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.