Impact of machine learning–based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with …
HY Qiao, CX Tang, UJ Schoepf, C Tesche… - European …, 2020 - Springer
Objectives This study investigated the impact of machine learning (ML)–based fractional
flow reserve derived from computed tomography (FFR CT) compared to invasive coronary …
flow reserve derived from computed tomography (FFR CT) compared to invasive coronary …
A 2-year investigation of the impact of the computed tomography–derived fractional flow reserve calculated using a deep learning algorithm on routine decision …
Objective This study aims to investigate the safety and feasibility of using a deep learning
algorithm to calculate computed tomography angiography–based fractional flow reserve (DL …
algorithm to calculate computed tomography angiography–based fractional flow reserve (DL …
Coronary computed tomographic angiography-derived fractional flow reserve for therapeutic decision making
C Tesche, R Vliegenthart, TM Duguay… - The American Journal of …, 2017 - Elsevier
This study investigated the performance of coronary computed tomography angiography
(cCTA) with cCTA-derived fractional flow reserve (CT-FFR) compared with invasive coronary …
(cCTA) with cCTA-derived fractional flow reserve (CT-FFR) compared with invasive coronary …
Impact of machine-learning CT-derived fractional flow reserve for the diagnosis and management of coronary artery disease in the randomized CRESCENT trials
FMA Nous, RPJ Budde, MM Lubbers, Y Yamasaki… - European …, 2020 - Springer
Objective To determine the potential impact of on-site CT-derived fractional flow reserve (CT-
FFR) on the diagnostic efficiency and effectiveness of coronary CT angiography (CCTA) in …
FFR) on the diagnostic efficiency and effectiveness of coronary CT angiography (CCTA) in …
One-year outcomes of CCTA alone versus machine learning–based FFRCT for coronary artery disease: a single-center, prospective study
HY Qiao, CX Tang, UJ Schoepf, RR Bayer 2nd… - European …, 2022 - Springer
Objectives To explore downstream management and outcomes of machine learning (ML)–
based CT derived fractional flow reserve (FFRCT) strategy compared with an anatomical …
based CT derived fractional flow reserve (FFRCT) strategy compared with an anatomical …
Machine learning and deep neural networks applications in coronary flow assessment: the case of computed tomography fractional flow reserve
C Tesche, HN Gray - Journal of Thoracic Imaging, 2020 - journals.lww.com
Coronary computed tomography angiography (cCTA) is a reliable and clinically proven
method for the evaluation of coronary artery disease. cCTA data sets can be used to derive …
method for the evaluation of coronary artery disease. cCTA data sets can be used to derive …
On-site computed tomography–derived fractional flow reserve to guide management of patients with stable coronary artery disease: the TARGET randomized trial
J Yang, D Shan, X Wang, X Sun, M Shao, K Wang… - Circulation, 2023 - Am Heart Assoc
Background: Computed tomography–derived fractional flow reserve (CT-FFR) using on-site
machine learning enables identification of both the presence of coronary artery disease and …
machine learning enables identification of both the presence of coronary artery disease and …
Real-world clinical utility and impact on clinical decision-making of coronary computed tomography angiography-derived fractional flow reserve: lessons from the …
TA Fairbairn, K Nieman, T Akasaka… - European heart …, 2018 - academic.oup.com
Aims Non-invasive assessment of stable chest pain patients is a critical determinant of
resource utilization and clinical outcomes. Increasingly coronary computed tomography …
resource utilization and clinical outcomes. Increasingly coronary computed tomography …
Computed tomography-derived fractional flow reserve (FFRCT) has no additional clinical impact over the anatomical Coronary Artery Disease-Reporting and Data …
MCK Hamilton, PFP Charters, S Lyen, IB Harries… - Clinical Radiology, 2022 - Elsevier
AIM To evaluate the impact of computed tomography-derived fractional flow reserve (FFR
CT) compared to the anatomical Coronary Artery Disease-Reporting and Data System (CAD …
CT) compared to the anatomical Coronary Artery Disease-Reporting and Data System (CAD …
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 …
tomography (CT) angiography–derived fractional flow reserve (FFR)—FFR derived from …