[HTML][HTML] First in-human quantitative plaque characterization with ultra-high resolution coronary photon-counting CT angiography

V Mergen, M Eberhard, R Manka, A Euler… - Frontiers in …, 2022 - frontiersin.org
Purpose To assess the effect of ultra-high-resolution coronary CT angiography (CCTA) with
photon-counting detector (PCD) CT on quantitative coronary plaque characterization …

Coronary computed tomography angiography–derived fractional flow reserve: an expert consensus document of Chinese Society of Radiology

LJ Zhang, C Tang, P Xu, B Guo, F Zhou… - Journal of Thoracic …, 2022 - journals.lww.com
Invasive fractional flow reserve (FFR) measured by a pressure wire is a reference standard
for evaluating functional stenosis in coronary artery disease. Coronary computed …

[HTML][HTML] Machine learning and deep neural networks applications in computed tomography for coronary artery disease and myocardial perfusion

CB Monti, M Codari, M van Assen… - Journal of thoracic …, 2020 - journals.lww.com
During the latest years, artificial intelligence, and especially machine learning (ML), have
experienced a growth in popularity due to their versatility and potential in solving complex …

Prognostic value of CT myocardial perfusion imaging and CT-derived fractional flow reserve for major adverse cardiac events in patients with coronary artery disease

M Van Assen, CN De Cecco, M Eid… - Journal of …, 2019 - Elsevier
Structured Abstract Objectives The purpose of this study was to analyze the prognostic value
of dynamic CT perfusion imaging (CTP) and CT derived fractional flow reserve (CT-FFR) for …

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 …

Functional CAD-RADS using FFRCT on therapeutic management and prognosis in patients with coronary artery disease

CX Tang, HY Qiao, XL Zhang, M Di Jiang… - European …, 2022 - Springer
Objectives To propose a novel functional Coronary Artery Disease–Reporting and Data
System (CAD-RADS) category system integrated with coronary CT angiography (CCTA) …

Coronary CT fractional flow reserve before transcatheter aortic valve replacement: clinical outcomes

GJ Aquino, AF Abadia, UJ Schoepf, T Emrich… - Radiology, 2022 - pubs.rsna.org
Background The role of CT angiography–derived fractional flow reserve (CT-FFR) in pre–
transcatheter aortic valve replacement (TAVR) assessment is uncertain. Purpose To …

Feasibility and prognostic role of machine learning-based FFRCT in patients with stent implantation

CX Tang, BJ Guo, JU Schoepf, RR Bayer, CY Liu… - European …, 2021 - Springer
Objectives To investigate the feasibility and prognostic implications of coronary CT
angiography (CCTA) derived fractional flow reserve (FFR CT) in patients who have …

Prognostic implication of CT-FFR based functional SYNTAX score in patients with de novo three-vessel disease

HY Qiao, JH Li, UJ Schoepf… - European Heart …, 2021 - academic.oup.com
Aims This study was aimed at investigating whether a machine learning (ML)-based
coronary computed tomographic angiography (CCTA) derived fractional flow reserve (CT …

Ischemia and outcome prediction by cardiac CT based machine learning

V Brandt, T Emrich, UJ Schoepf, DM Dargis… - … International Journal of …, 2020 - Springer
Cardiac CT using non-enhanced coronary artery calcium scoring (CACS) and coronary CT
angiography (cCTA) has been proven to provide excellent evaluation of coronary artery …