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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.).
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.
Abstract:
Background Plaque assessments with coronary CT angiography (CCTA) and coronary flow indexes have prognostic implications. Purpose To investigate the association and additive prognostic value of plaque burden and characteristics at CCTA with coronary pressure and flow. Materials and Methods Data of patients with coronary artery disease who underwent CCTA within 90 days before physiologic assessments at tertiary cardiovascular centers between January 2011 and December 2018 were retrospectively analyzed, which included fractional flow reserve (FFR), resting distal coronary artery pressure (Pd)-to-aortic pressure (Pa) ratio (hereafter, Pd/Pa), coronary flow reserve (CFR), hyperemic flow (1/hyperemic mean transit time [Tmn]), resting flow (1/resting Tmn), and index of microcirculatory resistance (IMR). Four high-risk plaque (HRP) attributes at CCTA defined high disease burden (plaque burden, ≥70%; minimum lumen area, <4 mm2) and adverse plaque (low-attenuation plaque, positive remodeling). Their lesion-specific relationships with coronary hemodynamic parameters and major adverse cardiovascular events (MACE) were investigated using a generalized estimating equation and marginal Cox model. Results Among 406 lesions from 335 patients (mean age, 67 years ± 10 [SD]; 259 men), high disease burden is predicted by FFR (odds ratio [OR], 0.55; P < .001), resting Pd/Pa (OR, 0.47; P < .001), CFR (OR, 0.85; P = .004), and hyperemic flow (OR, 0.91; P = .03), and adverse plaque by FFR (OR, 0.67; P < .001), resting Pd/Pa (OR, 0.69; P = .001), hyperemic flow (OR, 0.76; P = .006), resting flow (OR, 0.54; P = .001), and IMR (OR, 1.27; P = .008). High disease burden (hazard ratio [HR], 4.0; P = .004) and adverse plaque (HR, 2.7; P = .02) were associated with a higher risk of MACE (n = 27) over median 2.9-year follow-up. In six lesion subsets with normal flow or pressure, at least three HRP attributes predicted a higher MACE rate (HR range, 2.6-6.3). Conclusion High-risk plaque features and plaque burden at coronary CT angiography were associated with cardiovascular events independent of coronary hemodynamic parameters. Clinical trial registration no. NCT04037163 © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Leipsic and Tzimas in this issue.
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