Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Review Article
  • Published:

Optical coherence tomography in coronary atherosclerosis assessment and intervention

An Author Correction to this article was published on 18 December 2023

This article has been updated

Abstract

Since optical coherence tomography (OCT) was first performed in humans two decades ago, this imaging modality has been widely adopted in research on coronary atherosclerosis and adopted clinically for the optimization of percutaneous coronary intervention. In the past 10 years, substantial advances have been made in the understanding of in vivo vascular biology using OCT. Identification by OCT of culprit plaque pathology could potentially lead to a major shift in the management of patients with acute coronary syndromes. Detection by OCT of healed coronary plaque has been important in our understanding of the mechanisms involved in plaque destabilization and healing with the rapid progression of atherosclerosis. Accurate detection by OCT of sequelae from percutaneous coronary interventions that might be missed by angiography could improve clinical outcomes. In addition, OCT has become an essential diagnostic modality for myocardial infarction with non-obstructive coronary arteries. Insight into neoatherosclerosis from OCT could improve our understanding of the mechanisms of very late stent thrombosis. The appropriate use of OCT depends on accurate interpretation and understanding of the clinical significance of OCT findings. In this Review, we summarize the state of the art in cardiac OCT and facilitate the uniform use of this modality in coronary atherosclerosis. Contributions have been made by clinicians and investigators worldwide with extensive experience in OCT, with the aim that this document will serve as a standard reference for future research and clinical application.

Key points

  • The appropriate use of optical coherence tomography (OCT) depends on the accurate interpretation and understanding of the clinical importance of OCT findings.

  • In vivo diagnosis of plaque erosion with OCT could lead to a major shift in the management of patients with acute coronary syndromes.

  • Detection by OCT of healed coronary plaque is important for understanding the mechanism of plaque destabilization and healing with rapid progression of atherosclerosis.

  • Accurate detection by OCT of findings after percutaneous coronary intervention that could be missed by angiography has the potential to improve clinical outcomes.

  • OCT has become an essential diagnostic modality for patients with myocardial infarction and non-obstructive coronary arteries.

  • Insights from OCT into neoatherosclerosis could improve our understanding of the mechanisms of very late stent thrombosis.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Artefacts on optical coherence tomography.
Fig. 2: Optical coherence tomography images of normal vessel and atherosclerotic plaques.
Fig. 3: Qualitative findings from optical coherence tomography.
Fig. 4: Possible treatment algorithm for patients with ACS based on the assessment of microstructures by OCT.
Fig. 5: Optical coherence tomography images of culprit lesions in patients with acute coronary syndromes.
Fig. 6: Optical coherence tomography findings after percutaneous coronary intervention.
Fig. 7: Optical coherence tomography images of vascular response to stenting.

Similar content being viewed by others

Change history

References

  1. Huang, D. et al. Optical coherence tomography. Science 254, 1178–1181 (1991).

    CAS  PubMed  PubMed Central  Google Scholar 

  2. Jang, I. K. et al. Visualization of coronary atherosclerotic plaques in patients using optical coherence tomography: comparison with intravascular ultrasound. J. Am. Coll. Cardiol. 39, 604–609 (2002).

    PubMed  Google Scholar 

  3. Yabushita, H. et al. Characterization of human atherosclerosis by optical coherence tomography. Circulation 106, 1640–1645 (2002).

    PubMed  Google Scholar 

  4. Tearney, G. J. et al. Consensus standards for acquisition, measurement, and reporting of intravascular optical coherence tomography studies: a report from the International Working Group for Intravascular Optical Coherence Tomography Standardization and Validation. J. Am. Coll. Cardiol. 59, 1058–1072 (2012).

    PubMed  Google Scholar 

  5. van der Sijde, J. N. et al. Safety of optical coherence tomography in daily practice: a comparison with intravascular ultrasound. Eur. Heart J. Cardiovasc. Imaging 18, 467–474 (2017).

    PubMed  Google Scholar 

  6. Terada, N. et al. Ventricular fibrillation during optical coherence tomography/optical frequency domain imaging — a large single-center experience. Circ. J. 84, 178–185 (2020).

    CAS  PubMed  Google Scholar 

  7. Kubo, T. et al. Optical frequency domain imaging vs. intravascular ultrasound in percutaneous coronary intervention (OPINION trial): one-year angiographic and clinical results. Eur. Heart J. 38, 3139–3147 (2017).

    PubMed  PubMed Central  Google Scholar 

  8. Ali, Z. A. et al. Optical coherence tomography compared with intravascular ultrasound and with angiography to guide coronary stent implantation (ILUMIEN III: OPTIMIZE PCI): a randomised controlled trial. Lancet 388, 2618–2628 (2016).

    PubMed  Google Scholar 

  9. Meneveau, N. et al. Optical coherence tomography to optimize results of percutaneous coronary intervention in patients with non-st-elevation acute coronary syndrome: results of the multicenter, randomized DOCTORS Study (Does Optical Coherence Tomography Optimize Results of Stenting). Circulation 134, 906–917 (2016).

    PubMed  Google Scholar 

  10. Kubo, T. et al. OCT compared with IVUS in a coronary lesion assessment: the OPUS-CLASS study. JACC Cardiovasc. Imaging 6, 1095–1104 (2013).

    PubMed  Google Scholar 

  11. Gerbaud, E. et al. Multi-laboratory inter-institute reproducibility study of IVOCT and IVUS assessments using published consensus document definitions. Eur. Heart J. Cardiovasc. Imaging 17, 756–764 (2016).

    PubMed  Google Scholar 

  12. Terashima, M. et al. Accuracy and reproducibility of stent-strut thickness determined by optical coherence tomography. J. Invasive Cardiol. 21, 602–605 (2009).

    PubMed  Google Scholar 

  13. Kini, A. S. et al. Fibrous cap thickness by optical coherence tomography in vivo. J. Am. Coll. Cardiol. 69, 644–657 (2017).

    PubMed  Google Scholar 

  14. Radu, M. D. et al. Variability in the measurement of minimum fibrous cap thickness and reproducibility of fibroatheroma classification by optical coherence tomography using manual versus semi-automatic assessment. EuroIntervention 12, e987–e997 (2016).

    PubMed  Google Scholar 

  15. Galon, M. Z. et al. Differences determined by optical coherence tomography volumetric analysis in non-culprit lesion morphology and inflammation in ST-segment elevation myocardial infarction and stable angina pectoris patients. Catheter. Cardiovasc. Interv. 85, E108–E115 (2015).

    PubMed  Google Scholar 

  16. Tuzcu, E. M. et al. High prevalence of coronary atherosclerosis in asymptomatic teenagers and young adults: evidence from intravascular ultrasound. Circulation 103, 2705–2710 (2001).

    CAS  PubMed  Google Scholar 

  17. Kume, T. et al. Assessment of the coronary calcification by optical coherence tomography. EuroIntervention 6, 768–772 (2011).

    PubMed  Google Scholar 

  18. Saita, T. et al. Histopathological validation of optical frequency domain imaging to quantify various types of coronary calcifications. Eur. Heart J. Cardiovasc. Imaging 18, 342–349 (2017).

    PubMed  Google Scholar 

  19. Ong, D. S. et al. Coronary calcification and plaque vulnerability: an optical coherence tomographic study. Circ. Cardiovasc. Imaging 9, e003929 (2016).

    PubMed  Google Scholar 

  20. Fujino, A. et al. A new optical coherence tomography-based calcium scoring system to predict stent underexpansion. EuroIntervention 13, e2182–e2189 (2018).

    PubMed  Google Scholar 

  21. Raber, L. et al. Clinical use of intracoronary imaging. Part 1: guidance and optimization of coronary interventions. An expert consensus document of the European Association of Percutaneous Cardiovascular Interventions. Eur. Heart J. 39, 3281–3300 (2018).

    PubMed  Google Scholar 

  22. Kawasaki, M. et al. Diagnostic accuracy of optical coherence tomography and integrated backscatter intravascular ultrasound images for tissue characterization of human coronary plaques. J. Am. Coll. Cardiol. 48, 81–88 (2006).

    PubMed  Google Scholar 

  23. Kato, K. et al. Nonculprit plaques in patients with acute coronary syndromes have more vulnerable features compared with those with non-acute coronary syndromes: a 3-vessel optical coherence tomography study. Circ. Cardiovasc. Imaging 5, 433–440 (2012).

    PubMed  Google Scholar 

  24. Vergallo, R. et al. Prevalence and predictors of multiple coronary plaque ruptures: in vivo 3-vessel optical coherence tomography imaging study. Arterioscler. Thromb. Vasc. Biol. 36, 2229–2238 (2016).

    CAS  PubMed  Google Scholar 

  25. Virmani, R., Burke, A. P., Farb, A. & Kolodgie, F. D. Pathology of the vulnerable plaque. J. Am. Coll. Cardiol. 47, C13–C18 (2006).

    CAS  PubMed  Google Scholar 

  26. Yonetsu, T. et al. In vivo critical fibrous cap thickness for rupture-prone coronary plaques assessed by optical coherence tomography. Eur. Heart J. 32, 1251–1259 (2011).

    PubMed  Google Scholar 

  27. Tearney, G. J. et al. Quantification of macrophage content in atherosclerotic plaques by optical coherence tomography. Circulation 107, 113–119 (2003).

    PubMed  Google Scholar 

  28. Raber, L. et al. Changes in coronary plaque composition in patients with acute myocardial infarction treated with high-intensity statin therapy (IBIS-4): a serial optical coherence tomography study. JACC Cardiovasc. Imaging 12, 1518–1528 (2018).

    PubMed  Google Scholar 

  29. Komukai, K. et al. Effect of atorvastatin therapy on fibrous cap thickness in coronary atherosclerotic plaque as assessed by optical coherence tomography: the EASY-FIT study. J. Am. Coll. Cardiol. 64, 2207–2217 (2014).

    CAS  PubMed  Google Scholar 

  30. Kolodgie, F. D. et al. Intraplaque hemorrhage and progression of coronary atheroma. N. Engl. J. Med. 349, 2316–2325 (2003).

    CAS  PubMed  Google Scholar 

  31. Kume, T. et al. Detection of plaque neovascularization by optical coherence tomography: ex vivo feasibility study and in vivo observation in patients with angina pectoris. J. Invasive Cardiol. 28, 17–22 (2016).

    PubMed  Google Scholar 

  32. Nishimiya, K. et al. In vivo visualization of adventitial vasa vasorum of the human coronary artery on optical frequency domain imaging. Valid. Study Circ. J. 78, 2516–2518 (2014).

    PubMed  Google Scholar 

  33. Aoki, T. et al. Evaluation of coronary adventitial vasa vasorum using 3D optical coherence tomography — animal and human studies. Atherosclerosis 239, 203–208 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  34. Abela, G. S. & Aziz, K. Cholesterol crystals rupture biological membranes and human plaques during acute cardiovascular events — a novel insight into plaque rupture by scanning electron microscopy. Scanning 28, 1–10 (2006).

    CAS  PubMed  Google Scholar 

  35. Crea, F. & Liuzzo, G. Pathogenesis of acute coronary syndromes. J. Am. Coll. Cardiol. 61, 1–11 (2013).

    CAS  PubMed  Google Scholar 

  36. Katayama, Y. et al. Feasibility and clinical significance of in vivo cholesterol crystal detection using optical coherence tomography. Arterioscler. Thromb. Vasc. Biol. 40, 220–229 (2020).

    CAS  PubMed  Google Scholar 

  37. Jinnouchi, H. et al. Detection of cholesterol crystals by optical coherence tomography. EuroIntervention 16, 395–403 (2020).

    PubMed  Google Scholar 

  38. Kang, S. J. et al. OCT findings in patients with recanalization of organized thrombi in coronary arteries. JACC Cardiovasc. Imaging 5, 725–732 (2012).

    PubMed  Google Scholar 

  39. Souteyrand, G. et al. Diagnosis and management of spontaneously recanalized coronary thrombus guided by optical coherence tomography — lessons from the French “Lotus Root” Registry. Circ. J. 82, 783–790 (2018).

    PubMed  Google Scholar 

  40. Prati, F. et al. Expert review document. Part 2: methodology, terminology and clinical applications of optical coherence tomography for the assessment of interventional procedures. Eur. Heart J. 33, 2513–2520 (2012).

    PubMed  PubMed Central  Google Scholar 

  41. Kajander, O. A. et al. Feasibility and repeatability of optical coherence tomography measurements of pre-stent thrombus burden in patients with STEMI treated with primary PCI. Eur. Heart J. Cardiovasc. Imaging 16, 96–107 (2015).

    PubMed  Google Scholar 

  42. Burke, A. P. et al. Healed plaque ruptures and sudden coronary death: evidence that subclinical rupture has a role in plaque progression. Circulation 103, 934–940 (2001).

    CAS  PubMed  Google Scholar 

  43. Mann, J. & Davies, M. J. Mechanisms of progression in native coronary artery disease: role of healed plaque disruption. Heart 82, 265–268 (1999).

    CAS  PubMed  PubMed Central  Google Scholar 

  44. Otsuka, F., Joner, M., Prati, F., Virmani, R. & Narula, J. Clinical classification of plaque morphology in coronary disease. Nat. Rev. Cardiol. 11, 379–389 (2014).

    PubMed  Google Scholar 

  45. Vergallo, R. & Crea, F. Atherosclerotic plaque healing. N. Engl. J. Med. 383, 846–857 (2020).

    CAS  PubMed  Google Scholar 

  46. Shimokado, A. et al. In vivo optical coherence tomography imaging and histopathology of healed coronary plaques. Atherosclerosis 275, 35–42 (2018).

    CAS  PubMed  Google Scholar 

  47. Hoshino, M. et al. Optical coherence tomographic features of unstable coronary lesions corresponding to histopathological intraplaque hemorrhage evaluated by directional coronary atherectomy specimens. JACC Cardiovasc. Interv. 11, 1414–1415 (2018).

    PubMed  Google Scholar 

  48. Antuna, P. et al. Diagnosis of intraplaque hemorrhage by high-definition intravascular ultrasound and optical coherence tomography. JACC Cardiovasc. Interv. 13, 1960–1962 (2020).

    PubMed  Google Scholar 

  49. Pollack, A., Nazif, T., Mancini, D. & Weisz, G. Detection and imaging of cardiac allograft vasculopathy. JACC Cardiovasc. Imaging 6, 613–623 (2013).

    PubMed  Google Scholar 

  50. Cassar, A. et al. Coronary atherosclerosis with vulnerable plaque and complicated lesions in transplant recipients: new insight into cardiac allograft vasculopathy by optical coherence tomography. Eur. Heart J. 34, 2610–2617 (2013).

    PubMed  PubMed Central  Google Scholar 

  51. Dong, L. et al. Optical coherence tomographic evaluation of transplant coronary artery vasculopathy with correlation to cellular rejection. Circ. Cardiovasc. Interv. 7, 199–206 (2014).

    PubMed  Google Scholar 

  52. Shan, P. et al. Comparison between cardiac allograft vasculopathy and native coronary atherosclerosis by optical coherence tomography. Am. J. Cardiol. 117, 1361–1368 (2016).

    PubMed  Google Scholar 

  53. Ichibori, Y. et al. Optical coherence tomography and intravascular ultrasound evaluation of cardiac allograft vasculopathy with and without intimal neovascularization. Eur. Heart J. Cardiovasc. Imaging 17, 51–58 (2016).

    PubMed  Google Scholar 

  54. Clemmensen, T. S. et al. Layered fibrotic plaques are the predominant component in cardiac allograft vasculopathy: systematic findings and risk stratification by OCT. JACC Cardiovasc. Imaging 10, 773–784 (2017).

    PubMed  Google Scholar 

  55. Clemmensen, T. S. et al. Detection of early changes in the coronary artery microstructure after heart transplantation: a prospective optical coherence tomography study. J. Heart Lung Transpl. 37, 486–495 (2018).

    Google Scholar 

  56. Gerbaud, E. et al. Plaque burden can be assessed using intravascular optical coherence tomography and a dedicated automated processing algorithm: a comparison study with intravascular ultrasound. Eur. Heart J. Cardiovasc. Imaging 21, 640–652 (2019).

    PubMed Central  Google Scholar 

  57. Ramasamy, A. et al. Efficacy and reproducibility of attenuation-compensated optical coherence tomography for assessing external elastic membrane border and plaque composition in native and stented segments- an in vivo and histology-based study. Circ. J. 84, 91–100 (2019).

    PubMed  Google Scholar 

  58. Virmani, R., Kolodgie, F. D., Burke, A. P., Farb, A. & Schwartz, S. M. Lessons from sudden coronary death: a comprehensive morphological classification scheme for atherosclerotic lesions. Arterioscler. Thromb. Vasc. Biol. 20, 1262–1275 (2000).

    CAS  PubMed  Google Scholar 

  59. Partida, R. A., Libby, P., Crea, F. & Jang, I. K. Plaque erosion: a new in vivo diagnosis and a potential major shift in the management of patients with acute coronary syndromes. Eur. Heart J. 39, 2070–2076 (2018).

    PubMed  PubMed Central  Google Scholar 

  60. Arbustini, E. et al. Plaque erosion is a major substrate for coronary thrombosis in acute myocardial infarction. Heart 82, 269–272 (1999).

    CAS  PubMed  PubMed Central  Google Scholar 

  61. Higuma, T. et al. A combined optical coherence tomography and intravascular ultrasound study on plaque rupture, plaque erosion, and calcified nodule in patients with st-segment elevation myocardial infarction: incidence, morphologic characteristics, and outcomes after percutaneous coronary intervention. JACC Cardiovasc. Interv. 8, 1166–1176 (2015).

    PubMed  Google Scholar 

  62. Jia, H. et al. In vivo diagnosis of plaque erosion and calcified nodule in patients with acute coronary syndrome by intravascular optical coherence tomography. J. Am. Coll. Cardiol. 62, 1748–1758 (2013).

    PubMed  Google Scholar 

  63. Prati, F. et al. OCT-based diagnosis and management of STEMI associated with intact fibrous cap. JACC Cardiovasc. Imaging 6, 283–287 (2013).

    PubMed  Google Scholar 

  64. Jia, H. et al. Effective anti-thrombotic therapy without stenting: intravascular optical coherence tomography-based management in plaque erosion (the EROSION study). Eur. Heart J. 38, 792–800 (2017).

    CAS  PubMed  Google Scholar 

  65. Xing, L. et al. EROSION study (Effective Anti-Thrombotic Therapy Without Stenting: Intravascular Optical Coherence Tomography-Based Management in Plaque Erosion): a 1-year follow-up report. Circ. Cardiovasc. Interv. 10, e005860 (2017).

    PubMed  Google Scholar 

  66. Luping, H. et al. Predictors of non-stenting strategy for acute coronary syndrome caused by plaque erosion: 4-year outcomes of the EROSION study. EuroIntervention 17, 497–505 (2020).

    Google Scholar 

  67. Combaret, N. et al. Management of ST-elevation myocardial infarction in young patients by limiting implantation of durable intracoronary devices and guided by optical frequency domain imaging: “proof of concept” study. EuroIntervention 13, 397–406 (2017).

    PubMed  Google Scholar 

  68. Torii, S. et al. Eruptive calcified nodules as a potential mechanism of acute coronary thrombosis and sudden death. J. Am. Coll. Cardiol. 77, 1599–1611 (2021).

    PubMed  Google Scholar 

  69. Kobayashi, N. et al. Features and outcomes of patients with calcified nodules at culprit lesions of acute coronary syndrome: an optical coherence tomography study. Cardiology 139, 90–100 (2018).

    PubMed  Google Scholar 

  70. Sugiyama, T. et al. Calcified plaques in patients with acute coronary syndromes. JACC Cardiovasc. Interv. 12, 531–540 (2019).

    PubMed  Google Scholar 

  71. Saw, J. et al. Canadian spontaneous coronary artery dissection cohort study: in-hospital and 30-day outcomes. Eur. Heart J. 40, 1188–1197 (2019).

    PubMed  PubMed Central  Google Scholar 

  72. Saw, J. Coronary angiogram classification of spontaneous coronary artery dissection. Catheter. Cardiovasc. Interv. 84, 1115–1122 (2014).

    PubMed  Google Scholar 

  73. Tamis-Holland, J. E. et al. Contemporary diagnosis and management of patients with myocardial infarction in the absence of obstructive coronary artery disease: a scientific statement from the American Heart Association. Circulation 139, e891–e908 (2019).

    PubMed  Google Scholar 

  74. Gerbaud, E. et al. OCT and CMR for the diagnosis of patients presenting with MINOCA and Suspected epicardial causes. JACC Cardiovasc. Imaging 13, 2619–2631 (2020).

    PubMed  Google Scholar 

  75. Reynolds, H. R. et al. Coronary optical coherence tomography and cardiac magnetic resonance imaging to determine underlying causes of myocardial infarction with nonobstructive coronary arteries in women. Circulation 143, 624–640 (2021).

    PubMed  Google Scholar 

  76. Xing, L. et al. Clinical significance of lipid-rich plaque detected by optical coherence tomography: a 4-year follow-up study. J. Am. Coll. Cardiol. 69, 2502–2513 (2017).

    PubMed  Google Scholar 

  77. Jang, I. K. Pursuit for the detection of vulnerable plaque. Eur. Heart J. 41, 392–393 (2020).

    PubMed  Google Scholar 

  78. Prati, F. et al. Relationship between coronary plaque morphology of the left anterior descending artery and 12 months clinical outcome: the CLIMA study. Eur. Heart J. 41, 383–391 (2019).

    Google Scholar 

  79. Kubo, T. et al. Optical coherence tomography detection of vulnerable plaques at high risk of developing acute coronary syndrome. Eur. Heart J. Cardiovasc. Imaging https://doi.org/10.1093/ehjci/jeab028 (2021).

    Article  PubMed  Google Scholar 

  80. Ross, R. The pathogenesis of atherosclerosis — an update. N. Engl. J. Med. 314, 488–500 (1986).

    CAS  PubMed  Google Scholar 

  81. Jang, I. K. Plaque progression slow linear or rapid stepwise? Circ. Cardiovasc. Imaging 314, 488–500 (2017).

    Google Scholar 

  82. Uemura, S. et al. Thin-cap fibroatheroma and microchannel findings in optical coherence tomography correlate with subsequent progression of coronary atheromatous plaques. Eur. Heart J. 33, 78–85 (2012).

    PubMed  Google Scholar 

  83. Yamamoto, M. H. et al. Serial 3-vessel optical coherence tomography and intravascular ultrasound analysis of changing morphologies associated with lesion progression in patients with stable angina pectoris. Circ. Cardiovasc. Imaging 10, e006347 (2017).

    PubMed  Google Scholar 

  84. Araki, M. et al. Predictors of rapid plaque progression: an optical coherence tomography study. JACC Cardiovasc. Imaging 14, 1628–1638 (2021).

    PubMed  Google Scholar 

  85. Nicholls, S. J. et al. Effect of evolocumab on progression of coronary disease in statin-treated patients: the GLAGOV randomized clinical trial. JAMA 316, 2373–2384 (2016).

    CAS  PubMed  Google Scholar 

  86. Hattori, K. et al. Impact of statin therapy on plaque characteristics as assessed by serial OCT, grayscale and integrated backscatter-IVUS. JACC Cardiovasc. Imaging 5, 169–177 (2012).

    PubMed  Google Scholar 

  87. Yano, H., Horinaka, S. & Ishimitsu, T. Effect of evolocumab therapy on coronary fibrous cap thickness assessed by optical coherence tomography in patients with acute coronary syndrome. J. Cardiol. 75, 289–295 (2019).

    PubMed  Google Scholar 

  88. Nicholls, S. J. et al. Assessing the impact of PCSK9 inhibition on coronary plaque phenotype with optical coherence tomography: rationale and design of the randomized, placebo-controlled HUYGENS study. Cardiovasc. Diagn. Ther. 11, 120–129 (2021).

    PubMed  PubMed Central  Google Scholar 

  89. Wijns, W. et al. Optical coherence tomography imaging during percutaneous coronary intervention impacts physician decision-making: ILUMIEN I study. Eur. Heart J. 36, 3346–3355 (2015).

    PubMed  PubMed Central  Google Scholar 

  90. Kubo, T. et al. Superficial calcium fracture after PCI as assessed by OCT. JACC Cardiovasc. Imaging 8, 1228–1229 (2015).

    PubMed  Google Scholar 

  91. Imola, F. et al. Association between proximal stent edge positioning on atherosclerotic plaques containing lipid pools and postprocedural myocardial infarction (from the CLI-POOL Study). Am. J. Cardiol. 111, 526–531 (2013).

    PubMed  Google Scholar 

  92. Ino, Y. et al. Optical coherence tomography predictors for edge restenosis after everolimus-eluting stent implantation. Circ. Cardiovasc. Interv. 9, e004231 (2016).

    CAS  PubMed  Google Scholar 

  93. Belguidoum, S. et al. Relationship between stent expansion and fractional flow reserve after percutaneous coronary intervention: a post hoc analysis of the DOCTORS trial. EuroIntervention 17, e132–e139 (2021).

    PubMed  PubMed Central  Google Scholar 

  94. Prati, F. et al. Clinical impact of OCT findings during PCI: the CLI-OPCI II study. JACC Cardiovasc. Imaging 8, 1297–1305 (2015).

    PubMed  Google Scholar 

  95. Soeda, T. et al. Incidence and clinical significance of poststent optical coherence tomography findings: one-year follow-up study from a multicenter registry. Circulation 132, 1020–1029 (2015).

    PubMed  Google Scholar 

  96. Antonsen, L. et al. Optical coherence tomography guided percutaneous coronary intervention with Nobori stent implantation in patients with non-st-segment-elevation myocardial infarction (OCTACS) trial: difference in strut coverage and dynamic malapposition patterns at 6 months. Circ. Cardiovasc. Interv. 8, e002446 (2015).

    PubMed  Google Scholar 

  97. Adriaenssens, T. et al. Optical coherence tomography findings in patients with coronary stent thrombosis: a report of the PRESTIGE Consortium (Prevention of Late Stent Thrombosis by an Interdisciplinary Global European Effort). Circulation 136, 1007–1021 (2017).

    PubMed  PubMed Central  Google Scholar 

  98. Souteyrand, G. et al. Mechanisms of stent thrombosis analysed by optical coherence tomography: insights from the national PESTO French registry. Eur. Heart J. 37, 1208–1216 (2016).

    PubMed  Google Scholar 

  99. Prati, F. et al. Clinical impact of suboptimal stenting and residual intrastent plaque/thrombus protrusion in patients with acute coronary syndrome: the CLI-OPCI ACS substudy (Centro per la Lotta Contro L’Infarto-Optimization of Percutaneous Coronary Intervention in Acute Coronary Syndrome). Circ. Cardiovasc. Interv. 9, e003726 (2016).

    CAS  PubMed  Google Scholar 

  100. Kawamori, H. et al. Natural consequence of post-intervention stent malapposition, thrombus, tissue prolapse, and dissection assessed by optical coherence tomography at mid-term follow-up. Eur. Heart J. Cardiovasc. Imaging 14, 865–875 (2013).

    PubMed  PubMed Central  Google Scholar 

  101. Radu, M. D. et al. Natural history of optical coherence tomography-detected non-flow-limiting edge dissections following drug-eluting stent implantation. EuroIntervention 9, 1085–1094 (2014).

    PubMed  Google Scholar 

  102. Prati, F. et al. Angiography alone versus angiography plus optical coherence tomography to guide decision-making during percutaneous coronary intervention: the Centro per la Lotta contro l’Infarto-Optimisation of Percutaneous Coronary Intervention (CLI-OPCI) study. EuroIntervention 8, 823–829 (2012).

    PubMed  Google Scholar 

  103. Sheth, T. N. et al. Optical coherence tomography-guided percutaneous coronary intervention in st-segment-elevation myocardial infarction: a prospective propensity-matched cohort of the thrombectomy versus percutaneous coronary intervention alone trial. Circ. Cardiovasc. Interv. 9, e003414 (2016).

    PubMed  Google Scholar 

  104. Iannaccone, M. et al. Impact of an optical coherence tomography guided approach in acute coronary syndromes: a propensity matched analysis from the international FORMIDABLE-CARDIOGROUP IV and USZ registry. Catheter. Cardiovasc. Interv. 90, E46–E52 (2017).

    PubMed  Google Scholar 

  105. Lee, S. Y. et al. early strut coverage in patients receiving drug-eluting stents and its implications for dual antiplatelet therapy: a randomized trial. JACC Cardiovasc. Imaging 11, 1810–1819 (2018).

    PubMed  Google Scholar 

  106. Jones, D. A. et al. Angiography alone versus angiography plus optical coherence tomography to guide percutaneous coronary intervention: outcomes from the Pan-London PCI Cohort. JACC Cardiovasc. Interv. 11, 1313–1321 (2018).

    PubMed  Google Scholar 

  107. Ali, Z. A. et al. Outcomes of optical coherence tomography compared with intravascular ultrasound and with angiography to guide coronary stent implantation: one-year results from the ILUMIEN III: OPTIMIZE PCI trial. EuroIntervention 16, 1085–1091 (2021).

    PubMed  PubMed Central  Google Scholar 

  108. Ali, Z. et al. Optical coherence tomography-guided coronary stent implantation compared to angiography: a multicentre randomised trial in PCI - design and rationale of ILUMIEN IV: OPTIMAL PCI. EuroIntervention 16, 1092–1099 (2021).

    PubMed  PubMed Central  Google Scholar 

  109. Kubo, T. et al. Comparison between optical coherence tomography guidance and angiography guidance in percutaneous coronary intervention (COCOA): study protocol for a randomized controlled trial. J. Cardiol. 72, 170–175 (2018).

    PubMed  Google Scholar 

  110. Holm, N. R. et al. Rational and design of the European randomized Optical Coherence Tomography Optimized Bifurcation Event Reduction Trial (OCTOBER). Am. Heart J. 205, 97–109 (2018).

    PubMed  Google Scholar 

  111. Buccheri, S. et al. Clinical outcomes following intravascular imaging-guided versus coronary angiography-guided percutaneous coronary intervention with stent implantation: a systematic review and bayesian network meta-analysis of 31 studies and 17,882 patients. JACC Cardiovasc. Interv. 10, 2488–2498 (2017).

    PubMed  Google Scholar 

  112. Bezerra, H. G. et al. Optical coherence tomography versus intravascular ultrasound to evaluate coronary artery disease and percutaneous coronary intervention. JACC Cardiovasc. Interv. 6, 228–236 (2013).

    PubMed  Google Scholar 

  113. Okamura, T. et al. First-in-man evaluation of intravascular optical frequency domain imaging (OFDI) of Terumo: a comparison with intravascular ultrasound and quantitative coronary angiography. EuroIntervention 6, 1037–1045 (2011).

    PubMed  Google Scholar 

  114. Neumann, F. J. et al. 2018 ESC/EACTS Guidelines on myocardial revascularization. Eur. Heart J. 40, 87–165 (2019).

    PubMed  Google Scholar 

  115. Fihn, S. D. et al. 2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS guideline for the diagnosis and management of patients with stable ischemic heart disease: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines, and the American College of Physicians, American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons. J. Am. Coll. Cardiol. 60, e44–e164 (2012).

    PubMed  Google Scholar 

  116. Patel, M. R. et al. ACC/AATS/AHA/ASE/ASNC/SCAI/SCCT/STS 2017 appropriate use criteria for coronary revascularization in patients with stable ischemic heart disease: a report of the American College of Cardiology Appropriate Use Criteria Task Force, American Association for Thoracic Surgery, American Heart Association, American Society of Echocardiography, American Society of Nuclear Cardiology, Society for Cardiovascular Angiography and Interventions, Society of Cardiovascular Computed Tomography, and Society of Thoracic Surgeons. J. Am. Coll. Cardiol. 69, 2212–2241 (2017).

    PubMed  Google Scholar 

  117. Burzotta, F. et al. Fractional flow reserve or optical coherence tomography to guide management of angiographically intermediate coronary stenosis: a single-center trial. JACC Cardiovasc. Interv. 13, 49–58 (2020).

    PubMed  Google Scholar 

  118. Kennedy, M. W. et al. Combined optical coherence tomography morphologic and fractional flow reserve hemodynamic assessment of non- culprit lesions to better predict adverse event outcomes in diabetes mellitus patients: COMBINE (OCT-FFR) prospective study. Rationale and design. Cardiovasc. Diabetol. 15, 144 (2016).

    PubMed  PubMed Central  Google Scholar 

  119. Burzotta, F. et al. Correlation between frequency-domain optical coherence tomography and fractional flow reserve in angiographically-intermediate coronary lesions. Int. J. Cardiol. 253, 55–60 (2018).

    PubMed  Google Scholar 

  120. Usui, E. et al. Efficacy of optical coherence tomography-derived morphometric assessment in predicting the physiological significance of coronary stenosis: head-to-head comparison with intravascular ultrasound. EuroIntervention 13, e2210–e2218 (2018).

    PubMed  Google Scholar 

  121. Ramasamy, A. et al. Optical coherence tomography enables more accurate detection of functionally significant intermediate non-left main coronary artery stenoses than intravascular ultrasound: a meta-analysis of 6919 patients and 7537 lesions. Int. J. Cardiol. 301, 226–234 (2020).

    PubMed  Google Scholar 

  122. Huang, J. et al. Diagnostic performance of intracoronary optical coherence tomography-based versus angiography-based fractional flow reserve for the evaluation of coronary lesions. EuroIntervention 16, 568–576 (2020).

    PubMed  Google Scholar 

  123. Ding, D. et al. Optical Flow ratio for assessing stenting result and physiological significance of residual disease. EuroIntervention 17, e989–e998 (2021).

    PubMed  PubMed Central  Google Scholar 

  124. Onuma, Y. et al. A randomized trial evaluating online 3-dimensional optical frequency domain imaging-guided percutaneous coronary intervention in bifurcation lesions. Circ. Cardiovasc. Interv. 13, e009183 (2020).

    PubMed  PubMed Central  Google Scholar 

  125. Amabile, N. et al. Optical coherence tomography to guide percutaneous coronary intervention of the left main coronary artery: the LEMON study. EuroIntervention 17, e124–e131 (2021).

    PubMed  PubMed Central  Google Scholar 

  126. Onuma, Y. et al. Joint consensus on the use of OCT in coronary bifurcation lesions by the European and Japanese bifurcation clubs. EuroIntervention 14, e1568–e1577 (2019).

    PubMed  Google Scholar 

  127. Templin, C. et al. Coronary optical frequency domain imaging (OFDI) for in vivo evaluation of stent healing: comparison with light and electron microscopy. Eur. Heart J. 31, 1792–1801 (2010).

    PubMed  PubMed Central  Google Scholar 

  128. Jinnouchi, H. et al. Healthy strut coverage after coronary stent implantation: an ex vivo human autopsy study. Circ. Cardiovasc. Interv. 13, e008869 (2020).

    CAS  PubMed  Google Scholar 

  129. Radu, M. D. et al. Coronary evaginations are associated with positive vessel remodelling and are nearly absent following implantation of newer-generation drug-eluting stents: an optical coherence tomography and intravascular ultrasound study. Eur. Heart J. 35, 795–807 (2014).

    CAS  PubMed  Google Scholar 

  130. Yamamoto, E. et al. Dynamic neointimal pattern after drug-eluting stent implantation defined by optical coherence tomography. Coron. Artery Dis. 28, 557–563 (2017).

    PubMed  Google Scholar 

  131. Lutter, C. et al. Histopathological differential diagnosis of optical coherence tomographic image interpretation after stenting. JACC Cardiovasc. Interv. 9, 2511–2523 (2016).

    PubMed  Google Scholar 

  132. Xhepa, E. et al. Clinical outcomes by optical characteristics of neointima and treatment modality in patients with coronary in-stent restenosis. EuroIntervention 17, e388–e395 (2020).

    Google Scholar 

  133. Madhavan, M. V. et al. Stent-related adverse events >1 year after percutaneous coronary intervention. J. Am. Coll. Cardiol. 75, 590–604 (2020).

    CAS  PubMed  Google Scholar 

  134. Takano, M. et al. Appearance of lipid-laden intima and neovascularization after implantation of bare-metal stents extended late-phase observation by intracoronary optical coherence tomography. J. Am. Coll. Cardiol. 55, 26–32 (2009).

    PubMed  Google Scholar 

  135. Nakazawa, G. et al. The pathology of neoatherosclerosis in human coronary implants bare-metal and drug-eluting stents. J. Am. Coll. Cardiol. 57, 1314–1322 (2011).

    CAS  PubMed  PubMed Central  Google Scholar 

  136. Taniwaki, M. et al. Mechanisms of very late drug-eluting stent thrombosis assessed by optical coherence tomography. Circulation 133, 650–660 (2016).

    CAS  PubMed  Google Scholar 

  137. Koskinas, K. C. et al. Current use of intracoronary imaging in interventional practice — results of a European Association of Percutaneous Cardiovascular Interventions (EAPCI) and Japanese Association of Cardiovascular Interventions and Therapeutics (CVIT) Clinical Practice Survey. EuroIntervention 14, e475–e484 (2018).

    PubMed  Google Scholar 

  138. Zhou, J. et al. Intravascular ultrasound versus angiography-guided drug-eluting stent implantation: a health economic analysis. Circ. Cardiovasc. Qual. Outcomes 14, e006789 (2021).

    PubMed  Google Scholar 

  139. Alberti, A. et al. Understanding the economic impact of intravascular ultrasound (IVUS). Eur. J. Health Econ. 17, 185–193 (2016).

    PubMed  Google Scholar 

  140. Min, H. S. et al. Detection of optical coherence tomography-defined thin-cap fibroatheroma in the coronary artery using deep learning. EuroIntervention 16, 404–412 (2019).

    Google Scholar 

  141. Chu, M. et al. Artificial intelligence and optical coherence tomography for the automatic characterisation of human atherosclerotic plaques. EuroIntervention 17, 41–50 (2021).

    PubMed  PubMed Central  Google Scholar 

  142. Shibutani, H. et al. Automated classification of coronary atherosclerotic plaque in optical frequency domain imaging based on deep learning. Atherosclerosis 328, 100–105 (2021).

    CAS  PubMed  Google Scholar 

  143. Yin, J. et al. Integrated intravascular optical coherence tomography ultrasound imaging system. J. Biomed. Opt. 15, 010512 (2010).

    PubMed  PubMed Central  Google Scholar 

  144. Fard, A. M. et al. Optical coherence tomography — near infrared spectroscopy system and catheter for intravascular imaging. Opt. Express 21, 30849–30858 (2013).

    PubMed  PubMed Central  Google Scholar 

  145. Yoo, H. et al. Intra-arterial catheter for simultaneous microstructural and molecular imaging in vivo. Nat. Med. 17, 1680–1684 (2011).

    CAS  PubMed  PubMed Central  Google Scholar 

  146. Park, J. et al. A dual-modality optical coherence tomography and fluorescence lifetime imaging microscopy system for simultaneous morphological and biochemical tissue characterization. Biomed. Opt. Express 1, 186–200 (2010).

    PubMed  PubMed Central  Google Scholar 

  147. Liu, L. et al. Imaging the subcellular structure of human coronary atherosclerosis using micro-optical coherence tomography. Nat. Med. 17, 1010–1014 (2011).

    CAS  PubMed  PubMed Central  Google Scholar 

  148. de Boer, J. F., Hitzenberger, C. K. & Yasuno, Y. Polarization sensitive optical coherence tomography-a review [Invited]. Biomed. Opt. Express 8, 1838–1873 (2017).

    PubMed  PubMed Central  Google Scholar 

  149. Tearney, G. J. et al. In vivo endoscopic optical biopsy with optical coherence tomography. Science 276, 2037–2039 (1997).

    CAS  PubMed  Google Scholar 

  150. Yun, S., Tearney, G., de Boer, J., Iftimia, N. & Bouma, B. High-speed optical frequency-domain imaging. Opt. Express 11, 2953–2963 (2003).

    CAS  PubMed  Google Scholar 

  151. Kim, J. S. et al. Neointimal patterns obtained by optical coherence tomography correlate with specific histological components and neointimal proliferation in a swine model of restenosis. Eur. Heart J. Cardiovasc. Imaging 15, 292–298 (2014).

    PubMed  Google Scholar 

  152. Gonzalo, N. et al. Optical coherence tomography patterns of stent restenosis. Am. Heart J. 158, 284–293 (2009).

    PubMed  Google Scholar 

Download references

Acknowledgements

I.-K.J.’s research is supported by Mrs Gillian Gray through the Allan Gray Fellowship Fund in Cardiology.

Author information

Authors and Affiliations

Authors

Contributions

M.A. and I.-K.J. discussed the content of the article and wrote the manuscript. All the authors reviewed and/or edited the manuscript before submission.

Corresponding author

Correspondence to Ik-Kyung Jang.

Ethics declarations

Competing interests

H.L.D. is a consultant to Baim Clinical Research Institute, Boston Scientific, Cardiovascular Research Foundation and Medtronic, and has research grants from Boston Scientific and Medtronic. S.U. received educational grants from Abbott Vascular Japan. J.-S.K. received proctoring fees from Abbott Vascular. C.D.M. received research grants (to the institution) from AMGEN, Behring, Boston Scientific, Chiesi, Daiichi-Sankyo, Edwards, Medtronic, and Shockwave Volcano-Philips and speaker fees from Abbott and Shockwave. T.W.J. received consultancy and speaker fees from Abbott Vascular & Terumo. G.G. received consultant fees from Abbott Vascular and Infraredx and research grants from Abbott Vascular, Amgen and Infraredx. M.J. received personal fees from Abbott, AstraZeneca, Biotronik, Boston Scientific, Edwards, OrbusNeich, Recor, and Shockwave and grants from Amgen, Boston Scientific, Cardiac Dimensions, Edwards and Infraredx. N.R.H. received speaker fees from Terumo, research grants and speaker fees from Abbott and Reva Medical, and research grants from B. Braun, Biosensors, Boston Scientific and Medis Medical Imaging. W.W. received institutional research grants and honoraria from MicroPort (steering Committee TARGET AC trial); is co-founder of Argonauts, an innovation facilitator; and is medical adviser to Rede Optimus Research and Corrib Core Laboratory, NUI Galway. T.Adriaenssens received educational grants from Abbott Vascular. H.N. received speaker honoraria and research grants from Abbott Vascular. N.A. received proctoring and consulting fees from Abbott Vascular and Boston Scientific, consulting fees from Shockwave Medical, and institutional research grants from Abbott Vascular. G.S. received consulting fees from Abbott Medical, Boston Scientific, Medtronic, Shockwave and Terumo. E.G. is a consultant for Abbott Vascular and Terumo. N.G. received speaker and consultant fees from Abbott and speaker fees from Boston Scientific. G.J.T. receives sponsored research funding from AstraZeneca, Canon, CN USA Biotech Holdings, and VivoLight and catheter materials from Terumo. G.J.T. has a financial/fiduciary interest in SpectraWave, a company developing an OCT–NIRS intracoronary imaging system and catheter; this financial/fiduciary interest was reviewed and is managed by the Massachusetts General Hospital and Mass General Brigham HealthCare in accordance with their conflict-of-interest policies. G.J.T. (Canon, Spectrawave and Terumo) has the right to receive royalties from licensing arrangements. B.B. has OCT patents assigned to Massachusetts General Hospital and licensed to Terumo. A.D.A. received research grants from Amgen and Philips Healthcare. G.S.M. received honoraria from Abiomed, Boston Scientific, Medtronic and Philips/Volcano, and has equity in SpectraWave. G.W.S. received speaker honoraria from Cook, Infraredx and Terumo; is a consultant to Ablative Solutions, Abiomed, Ancora, Cardiomech, CorFlow, Elucid Bio, Gore, HeartFlow, MAIA Pharmaceuticals, Miracor, Neovasc, Occlutech, Reva, Robocath, Shockwave, TherOx, Valfix, Vascular Dynamics, Vectorious and V-Wave; and has equity/options from Ancora, Applied Therapeutics, Aria, Biostar family of funds, Cagent, Cardiac Success, MedFocus family of funds, Orchestra Biomed, SpectraWave and Valfix. L.R. received grants to the institution from Abbott, Biotronik, Boston Scientific, Heartflow, Sanofi, and Regeneron and speaker/consultation fees from Abbott, Amgen, AstraZeneca, Canon, Occlutec, Sanofi and Vifor. T.S. received research grants from Abbott Medical Japan. B.P.Y. received research grants and speaker honorarium from Abbott Vascular. L.K.M. received departmental grants from Abbott. H.R. received donations for research from Abbott Vascular, BioTelemetry and Siemens. P.L. is an unpaid consultant to, or involved in clinical trials for Amgen, AstraZeneca, Baim Institute, Beren Therapeutics, Esperion Therapeutics, Genentech, Kancera, Kowa Pharmaceuticals, Medimmune, Merck, Norvo Nordisk, Novartis, Pfizer, Sanofi-Regeneron. P.L. is a member of scientific advisory board for Amgen, Caristo, Cartesian, Corvidia Therapeutics, CSL Behring, DalCor Pharmaceuticals, Dewpoint, Kowa Pharmaceuticals, Medimmune, Novartis, Olatec Therapeutics, PlaqueTec and XBiotech. P.L.’s laboratory has received research funding in the past 2 years from Novartis. P.L. is on the Board of Directors of XBiotech. P.L. has a financial interest in Xbiotech, a company developing therapeutic human antibodies. P.L.’s interests were reviewed and are managed by Brigham and Women’s Hospital and Partners HealthCare in accordance with their conflict-of-interest policies. G.W. is a member of the medical advisory board for Filterlex, Intratech, Microbot and Trisol, and received equity from Filterlex, Intratech and Microbot and consulting fees from Cuspa, Filterlex, Intratech, Magenta and Microbot. T.G. received speaker’s honoraria and research support from Abbot Vascular. K.T. received research grants from Medtronic, and is proctor for Abbott and Medtronic. T.Y. received an endowment from Abbott Vascular Japan, Boston Scientific Japan, Japan Lifeline, Takeyama KK and WIN International. Y.M. received an honorarium and consulting fee from Abbott. R.Vergallo received speaker fees from Abbott. E.A. received grants from the Ministry of Health to the National IRCCS Cardiology Network (RCR-2019-23669116-001 and RCR-2020-23670065) and from FRRB grant CP_14/2018, INTESTRAT-CAD, Lombardia Region, Italy. H.M.G.-G. received institutional grant support from Abbott, Biotronik, Boston Scientific, CorFlow, Medtronic, Neovasc, Philips and Shockwave. Z.A. received institutional grants from Abbott Vascular and Cardiovascular Systems to Columbia University and Cardiovascular Research Foundation; honoraria from Amgen, AstraZeneca and Boston Scientific; and equity from Shockwave. A.V.F. and R.Virmani received institutional research support from NIH (HL141425), Leducq Foundation Grant; 480 Biomedical, 4C Medical, 4Tech, Abbott, Accumedical, Amgen, Biosensors, Boston Scientific, Cardiac Implants, Celonova, Claret Medical, Concept Medical, Cook, CSI, DuNing, Edwards Lifesciences, Emboline, Endotronix, Envision Scientific, Lutonix/Bard, Gateway, Lifetech, Limflo, MedAlliance, Medtronic, Mercator, Merill, Microport Medical, Microvention, MitraAlign, Mitra Assist, NAMSA, Nanova, Neovasc, NIPRO, Novogate, Occulotech, OrbusNeich Medical, Phenox, Profusa, Protembis, Qool, Recor, Senseonics, Shockwave, Sinomed, Spectranetics, Surmodics, Symic, Vesper, W.L. Gore and Xeltis. A.V.F. received honoraria from Abbott Vascular, Biosensors, Boston Scientific, Celonova, Cook Medical, CSI, Lutonix Bard, Sinomed and Terumo; and is a consultant to Amgen, Abbott Vascular, Boston Scientific, Celonova, Cook Medical, Lutonix Bard and Sinomed. R.Virmani received honoraria from Abbott Vascular, Biosensors, Boston Scientific, Celonova, Cook Medical, Cordis, CSI, Lutonix Bard, Medtronic, OrbusNeich Medical, CeloNova, SINO Medical Technology, ReCore, Spectranetics, Terumo, and W. L. Gore and is a consultant for Abbott Vascular, Boston Scientific, Celonova, Cook Medical, Cordis, CSI, Edwards Lifesciences, Lutonix Bard, Medtronic, OrbusNeich Medical, ReCore, Sinomededical Technology, Spectranetics, Surmodics, Terumo, W. L. Gore and Xeltis. T.K. received personal fees from Abbott Japan. K.H. received remuneration for lectures from Terumo, Abbott Vascular and Boston Scientific Japan. T.Akasaka received research grants from Abbott Vascular Japan, Nipro, and Terumo and is a medical adviser for Terumo. A.L. received consultant fees from Volcano and Philips. E.R. is a member of the medical advisory board for Zed Medical and a clinical adviser for Kaminari Medical. B.Y. received research grants from the National Key R&D Program of China (2016YFC1301103) and the National Natural Science Foundation of China (81827806). F.C. received personal fees from Amgen, AstraZeneca, BMS and Servier, and other fees from GlyCardial Diagnostics. J.F. has financial interests in Optovue, receives royalties from intellectual property owned by MIT and licensed to Optovue and receives research support from the NIH and Topcon. I.-K.J. received educational grants from Abbott Vascular and consulting fees from Mitobridge and Svelte. The other authors declare no competing interests.

Peer review

Peer review information

Nature Reviews Cardiology thanks Antonio Colombo, Patrick Serruys and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

A full list of authors and their affiliations appears at the end of the paper.

Supplementary information

Glossary

Axial resolution

The minimum distance between two objects that can be resolved along the axial dimension.

Near-infrared

Light with wavelengths extending from 0.78 µm to 2.50 µm.

Cross-sectional images

The traditional mode for optical coherence tomography (OCT) images that displays a cross-section of the vessel with a circular shape.

Penetration depth

The depth within a tissue or object at which an OCT image signal has been attenuated (via scattering or absorption) to a level indistinguishable from the background noise.

L-mode

The longitudinal mode represents an OCT image along the longitudinal dimension at a particular rotational angle.

Co-registration

The process of registering two or more images so that they can be viewed and analysed together.

Backscattered light

The reflection of light back in the direction from which it came; usually a diffuse reflection due to scattering as opposed to specular reflection as from a mirror.

Leading edge

The first edge in an object that is encountered along a vector that is pointing away from the catheter; by contrast, the trailing edge is the last edge that is encountered.

Z-offset

Slight variations in optical path length within the catheter, which can be adjusted using the catheter diameter within an image as a reference.

Refractive index

A property of a material that governs the speed of light through that material.

Centroid

The arithmetic mean position of all the points in the figure; also known as the centre of mass.

Adluminal

Near or towards the lumen.

Pullback rate

The speed at which an OCT catheter is pulled back during imaging.

Frame rate

The number of images captured per second.

Attenuation

Loss of light due to scattering and/or absorption by flushing media, blood or tissue that results in a weaker OCT signal.

Speckle

The grainy pattern that appears in OCT images because of the interference of waves with random phase.

Abluminal

Away from the lumen.

Computational fluid dynamics

A branch of fluid mechanics that uses numerical analysis and data structures to analyse and solve problems that involve fluid flows.

Contour

The boundary of a certain object, such as the lumen, stent or plaque component.

Deep learning

A class of machine learning algorithm that uses multiple layers to progressively extract higher-level features from the raw input.

Fluorescence

The emission of light by a substance that has absorbed light or other electromagnetic radiation.

Polarization

A property of light described by the magnitude, orientation and precession of its electric field.

Birefringence

A phenomenon exhibited by a material in which light travelling through the material is divided into two beams of different polarizations.

Depolarization

When the incident beam is fully linearly or circularly polarized, the scattered light can become partially polarized or even totally unpolarized.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Araki, M., Park, SJ., Dauerman, H.L. et al. Optical coherence tomography in coronary atherosclerosis assessment and intervention. Nat Rev Cardiol 19, 684–703 (2022). https://doi.org/10.1038/s41569-022-00687-9

Download citation

  • Accepted:

  • Published:

  • Issue date:

  • DOI: https://doi.org/10.1038/s41569-022-00687-9

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing