Literature DB >> 30376481

Current Evidence in Cardiothoracic Imaging: Computed Tomography-derived Fractional Flow Reserve in Stable Chest Pain.

Fides R Schwartz1, Lynne M Koweek1, Bjarne L Nørgaard2.   

Abstract

High-accuracy diagnostic imaging is needed to diagnose and manage coronary artery disease as well as to allow risk stratification for future events. Advancements in multidetector computed tomography and image postprocessing allow for routine computed tomography coronary angiography to provide anatomic luminal assessment similar to invasive coronary angiography, and, similarly, computational fractional flow reserve derived from computed tomography facilitates determination of hemodynamically relevant stenosis comparable to invasive fractional flow reserve. In this review article, we describe the diagnostic performance and the potential impact of fractional flow reserve derived from computed tomography in clinical practice.

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Year:  2019        PMID: 30376481     DOI: 10.1097/RTI.0000000000000369

Source DB:  PubMed          Journal:  J Thorac Imaging        ISSN: 0883-5993            Impact factor:   3.000


  4 in total

1.  Value of Machine Learning-based Coronary CT Fractional Flow Reserve Applied to Triple-Rule-Out CT Angiography in Acute Chest Pain.

Authors:  Simon S Martin; Domenico Mastrodicasa; Marly van Assen; Carlo N De Cecco; Richard R Bayer; Christian Tesche; Akos Varga-Szemes; Andreas M Fischer; Brian E Jacobs; Pooyan Sahbaee; L Parkwood Griffith; Andrew J Matuskowitz; Thomas J Vogl; U Joseph Schoepf
Journal:  Radiol Cardiothorac Imaging       Date:  2020-06-25

2.  Greasing the Skids: Deep Learning for Fully Automated Quantification of Epicardial Fat.

Authors:  U Joseph Schoepf; Andres F Abadia
Journal:  Radiol Artif Intell       Date:  2019-11-27

3.  Additional Value of Machine-Learning Computed Tomographic Angiography-Based Fractional Flow Reserve Compared to Standard Computed Tomographic Angiography.

Authors:  Dirk Lossnitzer; Leonard Chandra; Marlon Rutsch; Tobias Becher; Daniel Overhoff; Sonja Janssen; Christel Weiss; Martin Borggrefe; Ibrahim Akin; Stefan Pfleger; Stefan Baumann
Journal:  J Clin Med       Date:  2020-03-03       Impact factor: 4.241

4.  First in-human quantitative plaque characterization with ultra-high resolution coronary photon-counting CT angiography.

Authors:  Victor Mergen; Matthias Eberhard; Robert Manka; André Euler; Hatem Alkadhi
Journal:  Front Cardiovasc Med       Date:  2022-09-06
  4 in total

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