Relationship of Plaque Features at Coronary CT to Coronary Hemodynamics and Cardiovascular Events

Seokhun Yang1, Masahiro Hoshino1, Bon-Kwon Koo1

  • 1From the Department of Internal Medicine and Cardiovascular Center, Seoul National University Hospital, 101 Daehang-ro, Chongno-gu, Seoul, 110-744, Korea (S.Y., B.K.K., D.H.); Division of Cardiovascular Medicine, Tsuchiura Kyodo General Hospital, Ibaraki, Japan (M.H., T. Kakuta); Institute on Aging, Seoul National University, Seoul, Korea (B.K.K.); Department of Interventional Cardiology, Tokyo Medical and Dental University, Tokyo, Japan (T.Y.); Department of Cardiology, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, China (J.Z., J.W.); Department of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea (E.S.S.); Division of Cardiology, Ulsan Hospital, Ulsan, Korea (E.S.S.); Department of Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea (J.H.D.); Department of Medicine, Keimyung University Dongsan Medical Center, Daegu, Korea (C.W.N.); Department of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China (S.C.); Department of Cardiology, Tokyo Medical University, Tokyo, Japan (N.T.); Department of Cardiology, Gifu Heart Center, Gifu, Japan (H.M.); Wakayama Medical University, Wakayama, Japan (T. Kubo); Division of Cardiology, Severance Cardiovascular Hospital, Yonsei-Cedars-Sinai Integrative Cardiovascular Imaging Research Center, Yonsei University College of Medicine, Seoul, Korea (H.J.C.); and Icahn School of Medicine at Mount Sinai, New York, NY (J.N.).

Radiology
|August 16, 2022
PubMed

Insights

High-risk plaque features on coronary CT angiography predict major adverse cardiovascular events, independent of coronary flow and pressure. This finding improves risk stratification for patients with coronary artery disease.

Area of Science:

  • Cardiovascular Imaging
  • Interventional Cardiology
  • Radiology

Background:

  • Coronary CT angiography (CCTA) provides plaque assessment with prognostic value.
  • Coronary flow indexes also offer prognostic insights.
  • Integrating plaque burden and characteristics with flow data may enhance cardiovascular risk prediction.

Purpose of the Study:

  • To investigate the association between CCTA-derived plaque burden and characteristics with coronary pressure and flow parameters.
  • To determine the additive prognostic value of high-risk plaque (HRP) features for major adverse cardiovascular events (MACE).

Main Methods:

  • Retrospective analysis of 406 lesions from 335 patients with coronary artery disease who underwent CCTA and physiologic assessments (FFR, Pd/Pa, CFR, IMR).
  • Defined high disease burden (plaque burden ≥70%, minimum lumen area <4 mm²) and adverse plaque (low-attenuation plaque, positive remodeling) based on four HRP attributes.
  • Investigated lesion-specific relationships with hemodynamic parameters and MACE using generalized estimating equations and marginal Cox models.

Main Results:

  • High disease burden and adverse plaque were significantly associated with FFR, resting Pd/Pa, CFR, hyperemic flow, and IMR.
  • Both high disease burden (HR, 4.0) and adverse plaque (HR, 2.7) were independently associated with increased MACE risk over a median 2.9-year follow-up.
  • In subsets with normal flow or pressure, HRP attributes predicted higher MACE rates (HR range, 2.6–6.3).

Conclusions:

  • CCTA-derived high-risk plaque features and plaque burden are associated with cardiovascular events.
  • These plaque characteristics provide prognostic information independent of coronary hemodynamic parameters.
  • CCTA plaque assessment offers valuable additive prognostic information for patients with coronary artery disease.

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