Interaction of AI-Enabled Quantitative Coronary Plaque Volumes on Coronary CT Angiography, FFR CT , and Clinical Outcomes: A Retrospective Analysis of the ADVANCE Registry

Author:

Dundas James12ORCID,Leipsic Jonathon2ORCID,Fairbairn Timothy3,Ng Nicholas4ORCID,Sussman Vida2,Guez Ilana2,Rosenblatt Rachael2,Hurwitz Koweek Lynne M.5,Douglas Pamela S.5ORCID,Rabbat Mark6ORCID,Pontone Gianluca7ORCID,Chinnaiyan Kavitha8,de Bruyne Bernard9ORCID,Bax Jeroen J.10ORCID,Amano Tetsuya11ORCID,Nieman Koen12ORCID,Rogers Campbell4ORCID,Kitabata Hironori13ORCID,Sand Niels P.R.14ORCID,Kawasaki Tomohiro15,Mullen Sarah4ORCID,Huey Whitney4,Matsuo Hitoshi16ORCID,Patel Manesh R.5ORCID,Norgaard Bjarne L.17ORCID,Ahmadi Amir18,Tzimas Georgios219ORCID

Affiliation:

1. Department of Cardiology, North Tees and Hartlepool NHS Foundation Trust, Stockton-on-Tees, United Kingdom (J.D.).

2. Department of Radiology, University of British Columbia, Vancouver, Canada (J.D., J.L., V.S., I.G., R.R., G.T.).

3. Liverpool Heart and Chest Hospital, United Kingdom (T.F.).

4. HeartFlow Inc, Mountain View, CA (N.N., C.R., S.M., W.H.).

5. Duke Clinical Research Institute, Duke University, Durham, NC (L.M.H.K., P.S.D., M.R.P.).

6. Loyola University Medical Center, Maywood, IL (M.R.).

7. Centro Cardiologico Monzino, Milan, Italy (G.P.).

8. Beaumont Hospital, Royal Oak, MI (K.C.).

9. Cardiovascular Centre Aalst OLV Clinic, Belgium (B.d.B.).

10. Leiden University Medical Centre, the Netherlands (J.J.B.).

11. Aichi Medical University, Nagakute, Japan (T.A.).

12. Stanford University Medical Centre, CA (K.N.).

13. Wakayama Medical University, Japan (H.K.).

14. Hospital of South West Jutland, Denmark (N.P.R.S.).

15. Shin-Koga Hospital, Fukuoka, Japan (T.K.).

16. Gifu Heart Center, Japan (H.M.).

17. Aarhus University Hospital, Denmark (B.L.N.).

18. Mount Sinai Heart, New York City (A.A.).

19. Division of Cardiology, Lausanne University Hospital and University of Lausanne, Switzerland (G.T.).

Abstract

BACKGROUND: Luminal stenosis, computed tomography–derived fractional-flow reserve (FFR CT ), and high-risk plaque features on coronary computed tomography angiography are all known to be associated with adverse clinical outcomes. The interactions between these variables, patient outcomes, and quantitative plaque volumes have not been previously described. METHODS: Patients with coronary computed tomography angiography (n=4430) and one-year outcome data from the international ADVANCE (Assessing Diagnostic Value of Noninvasive FFR CT in Coronary Care) registry underwent artificial intelligence–enabled quantitative coronary plaque analysis. Optimal cutoffs for coronary total plaque volume and each plaque subtype were derived using receiver-operator characteristic curve analysis. The resulting plaque volumes were adjusted for age, sex, hypertension, smoking status, type 2 diabetes, hyperlipidemia, luminal stenosis, distal FFR CT , and translesional delta-FFR CT . Median plaque volumes and optimal cutoffs for these adjusted variables were compared with major adverse cardiac events, late revascularization, a composite of the two, and cardiovascular death and myocardial infarction. RESULTS: At one year, 55 patients (1.2%) had experienced major adverse cardiac events, and 123 (2.8%) had undergone late revascularization (>90 days). Following adjustment for age, sex, risk factors, stenosis, and FFR CT , total plaque volume above the receiver-operator characteristic curve–derived optimal cutoff (total plaque volume >564 mm 3 ) was associated with the major adverse cardiac event/late revascularization composite (adjusted hazard ratio, 1.515 [95% CI, 1.093–2.099]; P =0.0126), and both components. Total percent atheroma volume greater than the optimal cutoff was associated with both major adverse cardiac event/late revascularization (total percent atheroma volume >24.4%; hazard ratio, 2.046 [95% CI, 1.474–2.839]; P <0.0001) and cardiovascular death/myocardial infarction (total percent atheroma volume >37.17%, hazard ratio, 4.53 [95% CI, 1.943–10.576]; P =0.0005). Calcified, noncalcified, and low-attenuation percentage atheroma volumes above the optimal cutoff were associated with all adverse outcomes, although this relationship was not maintained for cardiovascular death/myocardial infarction in analyses stratified by median plaque volumes. CONCLUSIONS: Analysis of the ADVANCE registry using artificial intelligence–enabled quantitative plaque analysis shows that total plaque volume is associated with one-year adverse clinical events, with incremental predictive value over luminal stenosis or abnormal physiology by FFR CT . REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02499679.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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