Diagnostic performance of fully automatic coronary CT angiography-based quantitative flow ratio

G Li, T Weng, P Sun, Z Li, D Ding, S Guan… - Journal of …, 2024 - Elsevier
Background Murray-law based quantitative flow ratio, namely μFR, was recently validated to
compute fractional flow reserve (FFR) from coronary angiographic images in the cath lab …

Accuracy of coronary computed tomography angiography-derived quantitative flow ratio for onsite assessment of coronary lesions.

T Weng, D Ding, G Li, S Guan, W Han… - … : Journal of Europcr in …, 2024 - europepmc.org
Background Coronary computed tomography angiography (CCTA)-derived Murray law-
based quantitative flow ratio (CT-μFR) is a novel non-invasive method for fast computation of …

Coronary CT angiography–derived fractional flow reserve: machine learning algorithm versus computational fluid dynamics modeling

C Tesche, CN De Cecco, S Baumann, M Renker… - Radiology, 2018 - pubs.rsna.org
Purpose To compare two technical approaches for determination of coronary computed
tomography (CT) angiography–derived fractional flow reserve (FFR)—FFR derived from …

Diagnostic performance of a novel method for fractional flow reserve computed from noninvasive computed tomography angiography (NOVEL-FLOW Study)

JH Chung, KE Lee, CW Nam, JH Doh, HI Kim… - The American journal of …, 2017 - Elsevier
Coronary computed tomography angiography (CCTA)-derived fractional flow reserve from
computed tomography (CT-FFR) may provide better diagnostic performance over CCTA …

Fractional flow reserve computed from noninvasive CT angiography data: diagnostic performance of an on-site clinician-operated computational fluid dynamics …

A Coenen, MM Lubbers, A Kurata, A Kono, A Dedic… - Radiology, 2015 - pubs.rsna.org
Purpose To validate an on-site algorithm for computation of fractional flow reserve (FFR)
from coronary computed tomographic (CT) angiography data against invasively measured …

Coronary CT angiography-derived fractional flow reserve correlated with invasive fractional flow reserve measurements–initial experience with a novel physician …

S Baumann, R Wang, UJ Schoepf, DH Steinberg… - European …, 2015 - Springer
Objectives The present study aimed to determine the feasibility of a novel fractional flow
reserve (FFR) algorithm based on coronary CT angiography (cCTA) that permits point-of …

Additional value of machine-learning computed tomographic angiography-based fractional flow reserve compared to standard computed tomographic angiography

D Lossnitzer, L Chandra, M Rutsch, T Becher… - Journal of Clinical …, 2020 - mdpi.com
Background: Machine-learning-based computed-tomography-derived fractional flow reserve
(CT-FFRML) obtains a hemodynamic index in coronary arteries. We examined whether it …

Diagnostic accuracy of coronary computed tomography angiography-derived fractional flow reserve

W Jiang, Y Pan, Y Hu, X Leng, J Jiang, L Feng… - BioMedical Engineering …, 2021 - Springer
Background Fractional flow reserve (FFR) is a widely used gold standard to evaluate
ischemia-causing lesions. A new method of non-invasive approach, termed as AccuFFRct …

[HTML][HTML] Diagnostic performance of computational fluid dynamics (CFD)-based fractional flow reserve (FFR) derived from coronary computed tomographic …

J Jiang, C Du, Y Hu, H Yuan, J Wang… - … Imaging in Medicine …, 2023 - ncbi.nlm.nih.gov
Background Fractional flow reserve (FFR) is the gatekeeper for lesion-specific
revascularization decision-making in patients with stable coronary artery disease (CAD) …

Influence of coronary stenosis location on diagnostic performance of machine learning-based fractional flow reserve from CT angiography

M Renker, S Baumann, CW Hamm, C Tesche… - Journal of …, 2021 - Elsevier
Background Compared with invasive fractional flow reserve (FFR), coronary CT
angiography (cCTA) is limited in detecting hemodynamically relevant lesions. cCTA-based …