Coronary Computed Tomography Angiography From Clinical Uses to Emerging Technologies: JACC State-of-the-Art Review

KM Abdelrahman, MY Chen, AK Dey, R Virmani… - Journal of the American …, 2020 - jacc.org
Abstract Evaluation of coronary artery disease (CAD) using coronary computed tomography
angiography (CCTA) has seen a paradigm shift in the last decade. Evidence increasingly …

Precision medicine in human heart modeling: perspectives, challenges, and opportunities

M Peirlinck, FS Costabal, J Yao, JM Guccione… - … and modeling in …, 2021 - Springer
Precision medicine is a new frontier in healthcare that uses scientific methods to customize
medical treatment to the individual genes, anatomy, physiology, and lifestyle of each person …

Comparison of coronary computed tomography angiography, fractional flow reserve, and perfusion imaging for ischemia diagnosis

RS Driessen, I Danad, WJ Stuijfzand… - Journal of the American …, 2019 - jacc.org
Background: Fractional flow reserve (FFR) computation from coronary computed
tomography angiography (CTA) datasets (FFRCT) has emerged as a promising noninvasive …

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 …

SimVascular: an open source pipeline for cardiovascular simulation

A Updegrove, NM Wilson, J Merkow, H Lan… - Annals of biomedical …, 2017 - Springer
Patient-specific cardiovascular simulation has become a paradigm in cardiovascular
research and is emerging as a powerful tool in basic, translational and clinical research. In …

Applications of artificial intelligence in cardiovascular imaging

M Sermesant, H Delingette, H Cochet, P Jaïs… - Nature Reviews …, 2021 - nature.com
Research into artificial intelligence (AI) has made tremendous progress over the past
decade. In particular, the AI-powered analysis of images and signals has reached human …

Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the …

BL Nørgaard, J Leipsic, S Gaur, S Seneviratne… - Journal of the American …, 2014 - jacc.org
Objectives: The goal of this study was to determine the diagnostic performance of
noninvasive fractional flow reserve (FFR) derived from standard acquired coronary …

Clinical outcomes of fractional flow reserve by computed tomographic angiography-guided diagnostic strategies vs. usual care in patients with suspected coronary …

PS Douglas, G Pontone, MA Hlatky… - European heart …, 2015 - academic.oup.com
Aims In symptomatic patients with suspected coronary artery disease (CAD), computed
tomographic angiography (CTA) improves patient selection for invasive coronary …

1-Year Outcomes of FFRCT-Guided Care in Patients With Suspected Coronary Disease: The PLATFORM Study

PS Douglas, B De Bruyne, G Pontone, MR Patel… - Journal of the American …, 2016 - jacc.org
Background: Coronary computed tomographic angiography (CTA) plus estimation of
fractional flow reserve using CTA (FFRCT) safely and effectively guides initial care over 90 …

A machine-learning approach for computation of fractional flow reserve from coronary computed tomography

L Itu, S Rapaka, T Passerini… - Journal of applied …, 2016 - journals.physiology.org
Fractional flow reserve (FFR) is a functional index quantifying the severity of coronary artery
lesions and is clinically obtained using an invasive, catheter-based measurement. Recently …