Improved diagnostic accuracy of vessel-specific myocardial ischemia by coronary computed tomography angiography (CCTA).

Coronary computed tomography angiography Fractional flow reserve Ischemia Percent atheroma volume Plaque analysis Vessel

Journal

Journal of cardiovascular computed tomography
ISSN: 1876-861X
Titre abrégé: J Cardiovasc Comput Tomogr
Pays: United States
ID NLM: 101308347

Informations de publication

Date de publication:
09 Oct 2024
Historique:
received: 05 06 2024
revised: 12 09 2024
accepted: 30 09 2024
medline: 11 10 2024
pubmed: 11 10 2024
entrez: 10 10 2024
Statut: aheadofprint

Résumé

Discrepancies between stenosis severity assessed at coronary computed tomography angiography (CCTA) and ischemia might depend on vessel type. Coronary plaque features are associated with ischemia. Thus, we evaluated the vessel-specific correlation of CCTA-derived diameter stenosis (DS) and invasive fractional flow reserve (FFR) and explored whether integrating morphological plaque features stratified by vessel might increase the predictive yield in identifying vessel-specific ischemia. Observational cohort study including patients undergoing CCTA for suspected coronary artery disease, with at least one vessel with DS ​≥ ​50 ​% at CCTA, undergoing invasive coronary angiography and FFR. Plaque analysis was performed using validated semi-automated software. Coronary vessels were stratified in left anterior descending (LAD), left circumflex (LCX), and right coronary artery (RCA). Per vessel independent predictors of ischemia among CCTA-derived anatomical and morphologic plaque features were tested at univariable and multivariable logistic regression analysis. The best cut-off to predict ischemia was determined by Youden's index. Ischemia was defined by FFR≤0.80. The study population consisted of 192 patients, of whom 224 vessels (61 ​% LAD, 19 ​% LCX, 20 ​% RCA) had lesions with DS ​≥ ​50 ​% interrogated by FFR. Despite similar DS, the rate of FFR≤0.80 was higher in the LAD compared to LCX and RCA (67.2 ​% vs 43.2 ​% and 44.2 ​%, respectively, p ​= ​0.018). A significant correlation between DS and FFR was observed only in LAD (p ​= ​0.003). At multivariable analysis stratified by vessel, the vessel-specific independent predictors of positive FFR were percent atheroma volume (threshold>17 ​%) for LAD, non-calcified plaque volume (threshold >130 ​mm Integrating DS and vessel-specific morphological plaque features significantly increased the predictive yield for vessel-specific ischemia compared to DS alone, potentially improving patients' referral to the catheterization laboratory.

Sections du résumé

BACKGROUND BACKGROUND
Discrepancies between stenosis severity assessed at coronary computed tomography angiography (CCTA) and ischemia might depend on vessel type. Coronary plaque features are associated with ischemia. Thus, we evaluated the vessel-specific correlation of CCTA-derived diameter stenosis (DS) and invasive fractional flow reserve (FFR) and explored whether integrating morphological plaque features stratified by vessel might increase the predictive yield in identifying vessel-specific ischemia.
METHODS METHODS
Observational cohort study including patients undergoing CCTA for suspected coronary artery disease, with at least one vessel with DS ​≥ ​50 ​% at CCTA, undergoing invasive coronary angiography and FFR. Plaque analysis was performed using validated semi-automated software. Coronary vessels were stratified in left anterior descending (LAD), left circumflex (LCX), and right coronary artery (RCA). Per vessel independent predictors of ischemia among CCTA-derived anatomical and morphologic plaque features were tested at univariable and multivariable logistic regression analysis. The best cut-off to predict ischemia was determined by Youden's index. Ischemia was defined by FFR≤0.80.
RESULTS RESULTS
The study population consisted of 192 patients, of whom 224 vessels (61 ​% LAD, 19 ​% LCX, 20 ​% RCA) had lesions with DS ​≥ ​50 ​% interrogated by FFR. Despite similar DS, the rate of FFR≤0.80 was higher in the LAD compared to LCX and RCA (67.2 ​% vs 43.2 ​% and 44.2 ​%, respectively, p ​= ​0.018). A significant correlation between DS and FFR was observed only in LAD (p ​= ​0.003). At multivariable analysis stratified by vessel, the vessel-specific independent predictors of positive FFR were percent atheroma volume (threshold>17 ​%) for LAD, non-calcified plaque volume (threshold >130 ​mm
CONCLUSIONS CONCLUSIONS
Integrating DS and vessel-specific morphological plaque features significantly increased the predictive yield for vessel-specific ischemia compared to DS alone, potentially improving patients' referral to the catheterization laboratory.

Identifiants

pubmed: 39389894
pii: S1934-5925(24)00449-0
doi: 10.1016/j.jcct.2024.09.015
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no competing interests.

Auteurs

Marta Belmonte (M)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium; Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Pasquale Paolisso (P)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium; IRCCS Galeazzi Sant'Ambrogio Hospital, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.

Emanuele Gallinoro (E)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium; IRCCS Galeazzi Sant'Ambrogio Hospital, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.

Dario Tino Bertolone (DT)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium; Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Attilio Leone (A)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium; Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Giuseppe Esposito (G)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium; Interventional Cardiology Unit, De Gasperis Cardio Center, Niguarda Hospital, Milan, Italy.

Serena Caglioni (S)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium; Cardiology Unit, Azienda Ospedaliero Universitaria Di Ferrara, Cona, Ferrara, Italy.

Michele Mattia Viscusi (MM)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium; Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy.

Konstantinos Bermpeis (K)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium.

Tatyana Storozhenko (T)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium.

Eric Wyffels (E)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium.

Joseph Bartunek (J)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium.

Jeroen Sonck (J)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium.

Carlos Collet (C)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium.

Daniele Andreini (D)

IRCCS Galeazzi Sant'Ambrogio Hospital, Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.

Marc Vanderheyden (M)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium.

Martin Penicka (M)

Cardiovascular Center Aalst, OLV-Clinic, Aalst, Belgium. Electronic address: martin.penicka@olvz-aalst.be.

Emanuele Barbato (E)

Department of Clinical and Molecular Medicine, Sapienza University of Rome, Roma, Italy. Electronic address: emanuele.barbato@uniroma1.it.

Classifications MeSH