Correlation Between 3D-QCA Based FFR and Quantitative Lumen Assessment by IVUS for Left Main Coronary Artery Stenoses
Overview
Authors
Affiliations
Objectives: We aimed to evaluate the feasibility of using three dimensional-quantitative coronary angiography (3D-QCA) based fractional flow reserve (FFR) (vessel fractional flow reserve [vFFR], CAAS8.1, Pie Medical Imaging) and to correlate vFFR values with intravascular ultrasound (IVUS) for the evaluation of intermediate left main coronary artery (LMCA) stenosis.
Background: 3D-QCA derived FFR indices have been recently developed for less invasive functional lesion assessment. However, LMCA lesions were vastly under-represented in first validation studies.
Methods: This observational single-center cohort study enrolled consecutive patients with stable angina, unstable angina, or non-ST-segment elevation myocardial infarction and nonostial, intermediate grade LMCA stenoses who underwent IVUS evaluation. vFFR was computed based on two angiograms with optimal LMCA stenosis projection and correlated with IVUS-derived minimal lumen area (MLA).
Results: A total of 256 patients with intermediate grade LMCA stenosis evaluated with IVUS were screened for eligibility; 147 patients met the clinical inclusion criteria and had a complete IVUS LMCA footage available, of them, 63 patients (63 lesions) underwent 3D-QCA and vFFR analyses. The main reason for screening failure was insufficient quality of the angiogram (51 patients,60.7%). Mean age was 65 ± 11 years, 75% were male. Overall, mean MLA within LMCA was 8.77 ± 3.17 mm , while mean vFFR was 0.87 ± 0.09. A correlation was observed between vFFR and LMCA MLA (r = .792, p = .001). The diagnostic accuracy of vFFR ≤0.8 in identifying lesions with MLA < 6.0 mm (sensitivity 98%, specificity 71.4%, area under the curve (AUC) 0.95, 95% confidence interval (CI) 0.89-1.00, p = .001) was good.
Conclusions: In patients with good quality angiographic visualization of LMCA and available complete LMCA IVUS footage, 3D-QCA based vFFR assessment of LMCA disease correlates well to LMCA MLA as assessed by IVUS.
Kotoku N, Ninomiya K, Ding D, OLeary N, Tobe A, Miyashita K Int J Cardiovasc Imaging. 2023; 40(1):195-206.
PMID: 37870715 PMC: 10774209. DOI: 10.1007/s10554-023-02974-z.
Starczynski M, Dudek S, Barus P, Niedzieska E, Wawrzenczyk M, Ochijewicz D Diagnostics (Basel). 2023; 13(12).
PMID: 37371012 PMC: 10297310. DOI: 10.3390/diagnostics13122117.
Dobric M, Furtula M, Tesic M, Timcic S, Borzanovic D, Lazarevic N Front Cardiovasc Med. 2023; 10:1181803.
PMID: 37346287 PMC: 10279845. DOI: 10.3389/fcvm.2023.1181803.
Angiography-Based Fractional Flow Reserve: State of the Art.
Scoccia A, Tomaniak M, Neleman T, Groenland F, Ziedses des Plantes A, Daemen J Curr Cardiol Rep. 2022; 24(6):667-678.
PMID: 35435570 PMC: 9188492. DOI: 10.1007/s11886-022-01687-4.
Virtual (Computed) Fractional Flow Reserve: Future Role in Acute Coronary Syndromes.
Haley H, Ghobrial M, Morris P, Gosling R, Williams G, Mills M Front Cardiovasc Med. 2021; 8:735008.
PMID: 34746253 PMC: 8569111. DOI: 10.3389/fcvm.2021.735008.