Literature DB >> 31422146

Prediction of Coronary Revascularization in Stable Angina: Comparison of FFRCT With CMR Stress Perfusion Imaging.

Niels Peter Rønnow Sand1, Louise Nissen2, Simon Winther3, Steffen E Petersen4, Jelmer Westra5, Evald H Christiansen5, Pia Larsen6, Niels R Holm5, Christin Isaksen7, Grazina Urbonaviciene8, Lone Deibjerg9, Majed Husain9, Kristian K Thomsen9, Allan Rohold9, Hans Erik Bøtker5, Morten Bøttcher2.   

Abstract

OBJECTIVES: This study was designed to compare head-to-head fractional flow reserve (FFR) derived from coronary computed tomography angiography (CTA) (FFRCT) and cardiac magnetic resonance (CMR) stress perfusion imaging for prediction of standard-of-care-guided coronary revascularization in patients with stable chest pain and obstructive coronary artery disease by coronary CTA.
BACKGROUND: FFRCT is a novel modality for noninvasive functional testing. The clinical utility of FFRCT compared to CMR stress perfusion imaging in symptomatic patients with coronary artery disease is unknown.
METHODS: Prospective study of patients (n = 110) with stable angina pectoris and 1 or more coronary stenosis ≥50% by coronary CTA. All patients underwent invasive coronary angiography. Revascularization was FFR-guided in stenoses ranging from 30% to 90%. FFRCT ≤0.80 in 1 or more coronary artery or a reversible perfusion defect (≥2 segments) by CMR categorized patients with ischemia. FFRCT and CMR were analyzed by core laboratories blinded for patient management.
RESULTS: A total of 38 patients (35%) underwent revascularization. Per-patient diagnostic performance for identifying standard-of-care-guided revascularization, (95% confidence interval) yielded a sensitivity of 97% (86% to 100%) for FFRCT versus 47% (31% to 64%) for CMR, p < 0.001; corresponding specificity was 42% (30% to 54%) versus 88% (78% to 94%), p < 0.001; negative predictive value of 97% (91% to 100%) versus 76% (67% to 85%), p < 0.05; positive predictive value of 47% (36% to 58%) versus 67% (49% to 84%), p < 0.05; and accuracy of 61% (51% to 70%) versus 74% (64% to 82%), p > 0.05, respectively.
CONCLUSIONS: In patients with stable chest pain referred to invasive coronary angiography based on coronary CTA, FFRCT and CMR yielded similar overall diagnostic accuracy. Sensitivity for prediction of revascularization was highest for FFRCT, whereas specificity was highest for CMR.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cardiac magnetic resonance stress perfusion imaging; coronary computed tomography angiography–derived fractional flow reserve; revascularization; stable angina

Year:  2019        PMID: 31422146     DOI: 10.1016/j.jcmg.2019.06.028

Source DB:  PubMed          Journal:  JACC Cardiovasc Imaging        ISSN: 1876-7591


  4 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.  SCCT 2021 Expert Consensus Document on Coronary Computed Tomographic Angiography: A Report of the Society of Cardiovascular Computed Tomography.

Authors:  Jagat Narula; Y Chandrashekhar; Amir Ahmadi; Suhny Abbara; Daniel S Berman; Ron Blankstein; Jonathon Leipsic; David Newby; Edward D Nicol; Koen Nieman; Leslee Shaw; Todd C Villines; Michelle Williams; Harvey S Hecht
Journal:  J Cardiovasc Comput Tomogr       Date:  2020-11-20

3.  Using Machine Learning to Predict the Requirement for Revascularization in Patients with Chest Pain in the Emergency Department.

Authors:  ZhiChang Zheng; Ruifeng Guo; Nian Wang; Bo Jiang; Chun Peng Ma; Hui Ai; Xiao Wang; ShaoPing Nie
Journal:  J Healthc Eng       Date:  2022-04-14       Impact factor: 3.822

4.  Coronary flow impairment in asymptomatic patients with early stage type-2 diabetes: Detection by FFRCT.

Authors:  Monija Mrgan; Bjarne Linde Nørgaard; Damini Dey; Jørgen Gram; Michael Hecht Olsen; Jeppe Gram; Niels Peter Rønnow Sand
Journal:  Diab Vasc Dis Res       Date:  2020 Sep-Oct       Impact factor: 3.291

  4 in total

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