Literature DB >> 32063007

CT-Derived Fractional Flow Reserve (FFRCT): From Gatekeeping to Roadmapping.

Alex L Huang1, Paul L Maggiore1, Richard A Brown1, Mansi Turaga1, Anna B Reid1, Jacob Merkur1, Philipp Blanke1, Jonathon A Leipsic1.   

Abstract

Coronary computed tomography angiography (CCTA) has emerged as the preferred modality in the diagnosis of coronary artery disease, but it is limited by modest specificity. By applying principles of computational fluid dynamics, flow fraction reserve, a measure of lesion-specific ischemia that is used to guide revascularization, can be noninvasively derived from CCTA, the so-called computed tomography-derived flow fractional reserve (FFRCT). The accuracy of FFRCT in discriminating ischemia has been extensively validated, and it has been shown to improve the specificity of CCTA. Compared to other stress myocardial perfusion imaging, FFRCT has superior or comparable accuracy. Clinical studies have provided strong evidence that FFRCT has significant prognostic implications and informs clinical decisions for revascularization, serving as a gatekeeper to invasive coronary angiography. In addition, FFRCT-based tools can be used to simulate the physiological consequences of different revascularization strategies, thus providing the roadmap to achieve complete revascularization. Although challenges remain, ongoing research and randomized controlled trials are expected to address current limitations and better define its role in clinical practice.

Entities:  

Keywords:  CAD; CCTA; CT; FFRCT; atherosclerosis; cardiac

Mesh:

Year:  2020        PMID: 32063007     DOI: 10.1177/0846537119893752

Source DB:  PubMed          Journal:  Can Assoc Radiol J        ISSN: 0846-5371            Impact factor:   2.248


  5 in total

1.  Effect of 320-row CT reconstruction technology on fractional flow reserve derived from coronary CT angiography based on machine learning: single- versus multiple-cardiac periodic images.

Authors:  Ke Shi; Feng-Feng Yang; Nuo Si; Chen-Tao Zhu; Na Li; Xiao-Lin Dong; Yan Guo; Tong Zhang
Journal:  Quant Imaging Med Surg       Date:  2022-06

Review 2.  Fractional Flow Reserve: Patient Selection and Perspectives.

Authors:  Joyce Peper; Leonie M Becker; Jan-Peter van Kuijk; Tim Leiner; Martin J Swaans
Journal:  Vasc Health Risk Manag       Date:  2021-12-14

Review 3.  Multimodality Imaging in Ischemic Chronic Cardiomyopathy.

Authors:  Giuseppe Muscogiuri; Marco Guglielmo; Alessandra Serra; Marco Gatti; Valentina Volpato; Uwe Joseph Schoepf; Luca Saba; Riccardo Cau; Riccardo Faletti; Liam J McGill; Carlo Nicola De Cecco; Gianluca Pontone; Serena Dell'Aversana; Sandro Sironi
Journal:  J Imaging       Date:  2022-02-01

Review 4.  Application of AI in cardiovascular multimodality imaging.

Authors:  Giuseppe Muscogiuri; Valentina Volpato; Riccardo Cau; Mattia Chiesa; Luca Saba; Marco Guglielmo; Alberto Senatieri; Gregorio Chierchia; Gianluca Pontone; Serena Dell'Aversana; U Joseph Schoepf; Mason G Andrews; Paolo Basile; Andrea Igoren Guaricci; Paolo Marra; Denisa Muraru; Luigi P Badano; Sandro Sironi
Journal:  Heliyon       Date:  2022-10-05

5.  Machine-learning-derived radiomics signature of pericoronary tissue in coronary CT angiography associates with functional ischemia.

Authors:  Yan Feng; Zhihan Xu; Lin Zhang; Yaping Zhang; Hao Xu; Xiaozhong Zhuang; Hao Zhang; Xueqian Xie
Journal:  Front Physiol       Date:  2022-09-26       Impact factor: 4.755

  5 in total

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