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 …

Diagnostic accuracy of a machine-learning approach to coronary computed tomographic angiography–based fractional flow reserve: result from the MACHINE …

A Coenen, YH Kim, M Kruk, C Tesche… - Circulation …, 2018 - Am Heart Assoc
Background: Coronary computed tomographic angiography (CTA) is a reliable modality to
detect coronary artery disease. However, CTA generally overestimates stenosis severity …

[HTML][HTML] Machine Learning–Based CT Angiography–Derived Fractional Flow Reserve for Diagnosis of Functionally Significant Coronary Artery Disease

Z An, J Tian, X Zhao, M Zhang, L Zhang, X Yang… - Cardiovascular …, 2023 - jacc.org
Coronary artery disease (CAD) is a common clinical cardiovascular disease. Fractional flow
reserve (FFR) is the criterion standard for assessing coronary hemodynamics. 1 Based on …

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 …

Comparison of computational fluid dynamics and machine learning–based fractional flow reserve in coronary artery disease

A Yeri, RV Shah - Circulation: Cardiovascular Imaging, 2018 - Am Heart Assoc
Circ Cardiovasc Imaging. 2018; 11: e007950. DOI: 10.1161/CIRCIMAGING. 118.007950
June 2018 2 data for the ML model, a large CCTA image database was constructed using …

Gender differences in the diagnostic performance of machine learning coronary CT angiography-derived fractional flow reserve-results from the MACHINE registry

S Baumann, M Renker, UJ Schoepf… - European journal of …, 2019 - Elsevier
Purpose This study investigated the impact of gender differences on the diagnostic
performance of machine-learning based coronary CT angiography (cCTA)-derived fractional …

[HTML][HTML] Influence of Coronary Artery Calcium Score on Computed Tomography–Derived Fractional Flow Reserve: A Meta-Analysis

D Han, A Lin, H Gransar, D Dey, DS Berman - Cardiovascular Imaging, 2021 - jacc.org
Noninvasive fractional flow reserve derived from computed tomography angiography (CT-
FFR) calculates the ratio of flow across a stenosis to theoretical flow in the absence of …

Impact of coronary calcium score and lesion characteristics on the diagnostic performance of machine-learning-based computed tomography-derived fractional flow …

HJ Koo, JW Kang, SJ Kang, J Kweon… - European Heart …, 2021 - academic.oup.com
Aims To evaluate the impact of coronary artery calcium (CAC) score, minimal lumen area
(MLA), and length of coronary artery stenosis on the diagnostic performance of the machine …

Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFRML): Impact of iterative and filtered back projection reconstruction …

D Mastrodicasa, MH Albrecht, UJ Schoepf… - Journal of …, 2019 - Elsevier
Background The influence of computed tomography (CT) reconstruction algorithms on the
performance of machine-learning-based CT-derived fractional flow reserve (CT-FFR ML) …

Interoperator reliability of an on-site machine learning-based prototype to estimate CT angiography-derived fractional flow reserve

Y Han, AI Ahmed, C Schwemmer, M Cocker… - Open …, 2022 - openheart.bmj.com
Background Advances in CT and machine learning have enabled on-site non-invasive
assessment of fractional flow reserve (FFRCT). Purpose To assess the interoperator and …