» Articles » PMID: 21930103

Rationale and Design of the DeFACTO (Determination of Fractional Flow Reserve by Anatomic Computed Tomographic AngiOgraphy) Study

Overview
Publisher Elsevier
Date 2011 Sep 21
PMID 21930103
Citations 38
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Coronary computed tomographic angiography (CTA) allows for noninvasive identification of anatomic coronary artery disease (CAD) severity but does not discriminate whether a stenosis causes ischemia. Computational fluid dynamic techniques applied to CTA images now permit noninvasive computation of fractional flow reserve (FFR), a measure of lesion-specific ischemia, but the diagnostic performance of computed FFR (FFR(CT)) as compared with measured FFR at the time of invasive coronary angiography remains unexplored.

Objective: We determined the diagnostic accuracy of noninvasive FFR(CT) for the detection and exclusion of ischemia-causing stenoses.

Methods: DeFACTO (NCT01233518) is a prospective, international, multicenter study of 238 patients designed to evaluate the diagnostic performance of FFR(CT) for the detection of hemodynamically significant coronary artery stenoses identified by CTA, compared with invasive FFR as a reference standard. FFR values ≤ 0.80 will be considered hemodynamically significant. Patients enrolled in the DeFACTO study will undergo CTA, invasive coronary angiography, and 3-vessel FFR in the left anterior descending artery, left circumflex artery, and right coronary artery distributions. FFR(CT) will be computed with acquired CTA images, without modification to CTA image acquisition protocols and without additional image acquisition. Blinded core laboratory interpretation will be performed for CTA, invasive coronary angiography, FFR, and FFR(CT).

Results: The primary endpoint of the DeFACTO study is the per-patient diagnostic accuracy of FFR(CT) for noninvasive assessment of the hemodynamic significance of CAD, compared with FFR during invasive coronary angiography as a reference standard. The secondary endpoints include additional per-patient as well as per-vessel diagnostic performance characteristics, including sensitivity, specificity, positive predictive value, and negative predictive value.

Conclusion: The DeFACTO study will determine whether the addition of FFR(CT) to conventional CTA improves the diagnosis of hemodynamically significant CAD.

Citing Articles

Uncertainty Quantification and Sensitivity Analysis for Non-invasive Model-Based Instantaneous Wave-Free Ratio Prediction.

Dalmaso C, Fossan F, Braten A, Muller L Int J Numer Method Biomed Eng. 2025; 41(1):e3898.

PMID: 39777995 PMC: 11706247. DOI: 10.1002/cnm.3898.


Application of physics-based flow models in cardiovascular medicine: Current practices and challenges.

Vardhan M, Randles A Biophys Rev (Melville). 2024; 2(1):011302.

PMID: 38505399 PMC: 10903374. DOI: 10.1063/5.0040315.


Intra-coronary physiology in contemporary percutaneous coronary intervention and anginal therapy with a focus on microvascular disease.

Alisiddiq Z, Sharma H, Cotton J, Fan L Front Cardiovasc Med. 2023; 10:1255643.

PMID: 38094115 PMC: 10716220. DOI: 10.3389/fcvm.2023.1255643.


Predictive value of coronary artery computed tomography-derived fractional flow reserve for cardiovascular events in patients with coronary artery disease.

Han H, Liu M, Yu Y, Chen Y, Xu Y Herz. 2023; 49(4):296-301.

PMID: 37923966 DOI: 10.1007/s00059-023-05220-3.


A novel physics-based model for fast computation of blood flow in coronary arteries.

Hu X, Liu X, Wang H, Xu L, Wu P, Zhang W Biomed Eng Online. 2023; 22(1):56.

PMID: 37303051 PMC: 10258997. DOI: 10.1186/s12938-023-01121-y.