DOI QR코드

DOI QR Code

2024 Consensus Statement on Coronary Stenosis and Plaque Evaluation in CT Angiography From the Asian Society of Cardiovascular Imaging-Practical Tutorial (ASCI-PT)

  • Cherry Kim (Department of Radiology, Korea University Ansan Hospital) ;
  • Chul Hwan Park (Department of Radiology and Research Institute of Radiological Science, Gangnam Severance Hospital, Yonsei University College of Medicine) ;
  • Bae Young Lee (Department of Radiology, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea) ;
  • Chan Ho Park (Department of Radiology, Soonchunhyang University Cheonan Hospital) ;
  • Eun-Ju Kang (Department of Radiology, College of Medicine, Dong-A University) ;
  • Hyun Jung Koo (Department of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine) ;
  • Kakuya Kitagawa (Department of Radiology, Mie University Graduate School of Medicine) ;
  • Min Jae Cha (Department of Radiology, Chung-Ang University Hospital) ;
  • Rungroj Krittayaphong (Division of Cardiology, Department of Medicine, Siriraj Hospital, Mahidol University) ;
  • Sang Il Choi (Department of Radiology, Seoul University Bundang Hospital) ;
  • Hwan Seok Yong (Department of Radiology, Korea University Guro Hospital) ;
  • Sung Min Ko (Department of Radiology, Yonsei University Wonju College of Medicine, Wonju Severance Christian Hospital) ;
  • Sung Mok Kim (Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine) ;
  • Sung Ho Hwang (Department of Radiology, Korea University Anam Hospital) ;
  • Nguyen Ngoc Trang (Center of Radiology, Bachmai University Hospital) ;
  • Whal Lee (Department of Radiology, Seoul National University Hospital) ;
  • Young Jin Kim (Department of Radiology and Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine) ;
  • Jongmin Lee (Department of Radiology, Kyungpook National University Hospital) ;
  • Dong Hyun Yang (Department of Radiology and Research Institute of Radiology, Cardiac Imaging Center, Asan Medical Center, University of Ulsan College of Medicine)
  • Received : 2024.01.30
  • Accepted : 2024.01.31
  • Published : 2024.04.01

Abstract

The Asian Society of Cardiovascular Imaging-Practical Tutorial (ASCI-PT) is an instructional initiative of the ASCI School designed to enhance educational standards. In 2021, the ASCI-PT was convened with the goal of formulating a consensus statement on the assessment of coronary stenosis and coronary plaque using coronary CT angiography (CCTA). Nineteen experts from four countries conducted thorough reviews of current guidelines and deliberated on eight key issues to refine the process and improve the clarity of reporting CCTA findings. The experts engaged in both online and on-site sessions to establish a unified agreement. This document presents a summary of the ASCI-PT 2021 deliberations and offers a comprehensive consensus statement on the evaluation of coronary stenosis and coronary plaque in CCTA.

Keywords

Acknowledgement

ASCI-PT 2021 was supported by Dongkook Pharmaceutical Co., Ltd. and TeraRecon, Inc. financially. We thank them for their support and funds. We appreciate the Medical Illustration & Design (MID) team, a member of Medical Research Support Services of Yonsei University College of Medicine, for their excellent support with medical illustration.

References

  1. Kim YJ, Yong HS, Kim SM, Kim JA, Yang DH, Hong YJ. Korean guidelines for the appropriate use of cardiac CT. Korean J Radiol 2015;16:251-285 
  2. Kim JY, Hong YJ, Han K, Lee S, Kim YJ, Choi BW, et al. Evaluation of the ostium in anomalous origin of the right coronary artery with an interarterial course using dynamic cardiac CT and implications of ostial findings. Korean J Radiol 2022;23:172-179 
  3. Gulati M, Levy PD, Mukherjee D, Amsterdam E, Bhatt DL, Birtcher KK, et al. 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR guideline for the evaluation and diagnosis of chest pain: a report of the American College of Cardiology/American Heart Association Joint Committee on clinical practice guidelines. J Cardiovasc Comput Tomogr 2022;16:54-122 
  4. Yang DH. Application of artificial intelligence to cardiovascular computed tomography. Korean J Radiol 2021;22:1597-1608 
  5. Beck KS, Kim JA, Choe YH, Hian SK, Hoe J, Hong YJ, et al. 2017 multimodality appropriate use criteria for noninvasive cardiac imaging: expert consensus of the Asian Society of Cardiovascular Imaging. Korean J Radiol 2017;18:871-880 
  6. Leipsic J, Abbara S, Achenbach S, Cury R, Earls JP, Mancini GJ, et al. SCCT guidelines for the interpretation and reporting of coronary CT angiography: a report of the Society of Cardiovascular Computed Tomography guidelines committee. J Cardiovasc Comput Tomogr 2014;8:342-358 
  7. Narula J, Chandrashekhar Y, Ahmadi A, Abbara S, Berman DS, Blankstein R, et al. SCCT 2021 expert consensus document on coronary computed tomographic angiography: a report of the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr 2021;15:192-217 
  8. Cury RC, Abbara S, Achenbach S, Agatston A, Berman DS, Budoff MJ, et al. Coronary artery disease - reporting and data system (CAD-RADS): an expert consensus document of SCCT, ACR and NASCI: endorsed by the ACC. JACC Cardiovasc Imaging 2016;9:1099-1113 
  9. Cury RC, Abbara S, Achenbach S, Agatston A, Berman DS, Budoff MJ, et al. CAD-RADSTM coronary artery disease - reporting and data system. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology. J Cardiovasc Comput Tomogr 2016;10:269-281 
  10. Cury RC, Leipsic J, Abbara S, Achenbach S, Berman D, Bittencourt M, et al. CAD-RADSTM 2.0 - 2022 coronary artery disease-reporting and data system: an expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR), and the North America Society of Cardiovascular Imaging (NASCI). JACC Cardiovasc Imaging 2022;15:1974-2001 
  11. Park CH, Kim C, Lee BY, Park CH, Kang EJ, Koo HJ, et al. Semi-quantitative scoring of late gadolinium enhancement of the left ventricle in patients with ischemic cardiomyopathy: consensus statement from the Asian Society of Cardiovascular Imaging-Practical Tutorial (ASCI-PT) 2020. Cardiovascr Imaging Asia 2021;5:26-36 
  12. Kim C, Park CH, Kim DY, Cha J, Lee BY, Park CH, et al. Semi-quantitative scoring of late gadolinium enhancement of the left ventricle in patients with ischemic cardiomyopathy: improving interobserver reliability and agreement using consensus guidance from the Asian Society of Cardiovascular Imaging-Practical Tutorial (ASCI-PT) 2020. Korean J Radiol 2022;23:298-307 
  13. Raff GL, Abidov A, Achenbach S, Berman DS, Boxt LM, Budoff MJ, et al. SCCT guidelines for the interpretation and reporting of coronary computed tomographic angiography. J Cardiovasc Comput Tomogr 2009;3:122-136 
  14. Weigold WG, Abbara S, Achenbach S, Arbab-Zadeh A, Berman D, Carr JJ, et al. Standardized medical terminology for cardiac computed tomography: a report of the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr 2011;5:136-144 
  15. Puchner SB, Liu T, Mayrhofer T, Truong QA, Lee H, Fleg JL, et al. High-risk plaque detected on coronary CT angiography predicts acute coronary syndromes independent of significant stenosis in acute chest pain: results from the ROMICAT-II trial. J Am Coll Cardiol 2014;64:684-692 
  16. Braunwald E. Progress in the noninvasive detection of high-risk coronary plaques. J Am Coll Cardiol 2015;66:347-349 
  17. Lee SE, Sung JM, Andreini D, Al-Mallah MH, Budoff MJ, Cademartiri F, et al. Differences in progression to obstructive lesions per high-risk plaque features and plaque volumes with CCTA. JACC Cardiovasc Imaging 2020;13:1409-1417 
  18. Motoyama S, Ito H, Sarai M, Kondo T, Kawai H, Nagahara Y, et al. Plaque characterization by coronary computed tomography angiography and the likelihood of acute coronary events in mid-term follow-up. J Am Coll Cardiol 2015;66:337-346 
  19. Kolossvary M, Szilveszter B, Merkely B, Maurovich-Horvat P. Plaque imaging with CT-a comprehensive review on coronary CT angiography based risk assessment. Cardiovasc Diagn Ther 2017;7:489-506 
  20. Bom MJ, van der Heijden DJ, Kedhi E, van der Heyden J, Meuwissen M, Knaapen P, et al. Early detection and treatment of the vulnerable coronary plaque: can we prevent acute coronary syndromes? Circ Cardiovasc Imaging 2017;10:e005973 
  21. Shaw LJ, Blankstein R, Bax JJ, Ferencik M, Bittencourt MS, Min JK, et al. Society of Cardiovascular Computed Tomography/North American Society of Cardiovascular Imaging - expert consensus document on coronary CT imaging of atherosclerotic plaque. J Cardiovasc Comput Tomogr 2021;15:93-109 
  22. Min JK, Shaw LJ, Devereux RB, Okin PM, Weinsaft JW, Russo DJ, et al. Prognostic value of multidetector coronary computed tomographic angiography for prediction of all-cause mortality. J Am Coll Cardiol 2007;50:1161-1170 
  23. Plank F, Burghard P, Friedrich G, Dichtl W, Mayr A, Klauser A, et al. Quantitative coronary CT angiography: absolute lumen sizing rather than %stenosis predicts hemodynamically relevant stenosis. Eur Radiol 2016;26:3781-3789 
  24. Koo BK, Yang HM, Doh JH, Choe H, Lee SY, Yoon CH, et al. Optimal intravascular ultrasound criteria and their accuracy for defining the functional significance of intermediate coronary stenoses of different locations. JACC Cardiovasc Interv 2011;4:803-811 
  25. Kang SJ, Ahn JM, Song H, Kim WJ, Lee JY, Park DW, et al. Usefulness of minimal luminal coronary area determined by intravascular ultrasound to predict functional significance in stable and unstable angina pectoris. Am J Cardiol 2012;109:947-953 
  26. Kristensen TS, Engstrom T, Kelbaek H, von der Recke P, Nielsen MB, Kofoed KF. Correlation between coronary computed tomographic angiography and fractional flow reserve. Int J Cardiol 2010;144:200-205 
  27. Boogers MJ, Schuijf JD, Kitslaar PH, van Werkhoven JM, de Graaf FR, Boersma E, et al. Automated quantification of stenosis severity on 64-slice CT: a comparison with quantitative coronary angiography. JACC Cardiovasc Imaging 2010;3:699-709 
  28. Motoyama S, Kondo T, Sarai M, Sugiura A, Harigaya H, Sato T, et al. Multislice computed tomographic characteristics of coronary lesions in acute coronary syndromes. J Am Coll Cardiol 2007;50:319-326 
  29. Hadamitzky M, Achenbach S, Al-Mallah M, Berman D, Budoff M, Cademartiri F, et al. Optimized prognostic score for coronary computed tomographic angiography: results from the CONFIRM registry (coronary CT angiography evaluation for clinical outcomes: an international multicenter registry). J Am Coll Cardiol 2013;62:468-476