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 …

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 …

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 …

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 …

[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 …

[HTML][HTML] Diagnostic coronary angiography is getting old!

A Colombo, VF Panoulas - JACC: Cardiovascular Imaging, 2015 - jacc.org
Even though coronary computed tomography angiography (CTA) has demonstrated an
excellent ability to exclude coronary artery disease (CAD), with negative predictive values …

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 …

On-site computed tomography-derived fractional flow reserve using a machine-learning algorithm―clinical effectiveness in a retrospective multicenter cohort―

A Kurata, N Fukuyama, K Hirai, N Kawaguchi… - Circulation …, 2019 - jstage.jst.go.jp
Background: This study evaluated the diagnostic capability of on-site coronary computed
tomography-derived computational fractional flow reserve (CT-FFR) determinations for …

[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 …