Literature DB >> 32353492

Diagnostic performance of angiography-based quantitative flow ratio for the identification of myocardial ischemia as assessed by 13N-ammonia myocardial perfusion imaging positron emission tomography.

Mario Strähl1, Matthias Schindler1, Lukas S Keller1, Erik Holy1, Philipp Jakob1, Patrick T Siegrist1, Christian Templin1, Willibald Maier1, Ronny R Buechel2, Philipp A Kaufmann2, Cathérine Gebhard2, Barbara E Stähli3.   

Abstract

BACKGROUND: Quantitative flow ratio (QFR) is a novel, adenosine-free method for functional lesion interrogation based on 3-dimensional quantitative coronary angiography and computational algorithms. We sought to investigate the diagnostic performance of QFR versus myocardial perfusion imaging positron emission tomography (MPI-PET), which yields the highest accuracy for detection of myocardial ischemia.
METHODS: Diagnostic performance of QFR versus MPI-PET was assessed in consecutive patients undergoing both clinically indicated coronary angiography and 13N-ammonia MPI-PET within a six-month period.
RESULTS: Out of 176 patients (439 coronary arteries), 19.3% were women. Percent area stenosis was 45 [32-58] %. Myocardial ischemia on 13N-ammonia MPI-PET was detected in 106 (24.1%) vessel territories and hemodynamic significance defined as contrast-flow vessel QFR ≤ 0.80 was observed in 83 (18.9%) vessels. Diagnostic accuracy, sensitivity, and specificity of contrast-flow vessel QFR for the prediction of myocardial ischemia on 13N-ammonia MPI-PET were 92.5 (95% CI 89.6-94.7) %, 73.6 (95% CI 64.1-81.7) %, and 98.5 (95% CI 96.5-99.5) %, respectively. The AUCs for contrast-flow vessel QFR, percent diameter stenosis, and percent area stenosis were 0.85 (95% CI 0.81-0.88, p < 0.001), 0.76 (95% CI 0.71-0.79, p < 0.001) and 0.75 (95% CI 0.70-0.79, p < 0.001), respectively.
CONCLUSIONS: QFR, a novel diagnostic tool for functional coronary lesion assessment, provides good diagnostic agreement with MPI-PET and superior diagnostic accuracy for the detection of myocardial ischemia as compared to anatomic indices. Future studies will have to determine the non-inferiority of QFR to fractional flow reserve with respect to clinical outcomes.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Coronary artery disease; Myocardial perfusion imaging; Percutaneous coronary intervention; Positron emission tomography; Quantitative flow ratio

Mesh:

Substances:

Year:  2020        PMID: 32353492     DOI: 10.1016/j.ijcard.2020.04.069

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  2 in total

1.  Impact of diabetes on coronary physiology evaluated by quantitative flow ratio in patients who underwent percutaneous coronary intervention.

Authors:  Zhen Ye; Qin Chen; Jiaxin Zhong; Long Chen; Lihua Chen; Mingfang Ye; Yuanming Yan; Lianglong Chen; Yukun Luo
Journal:  J Diabetes Investig       Date:  2022-03-29       Impact factor: 3.681

2.  Study of Vertebral Artery Dissection by Ultrasound Superb Microvascular Imaging Based on Deep Neural Network Model.

Authors:  Yanjuan Wang; Huajie Jiao; Huihui Peng; Jinfang Liu; Liyuan Ma; Jianjun Wang
Journal:  J Healthc Eng       Date:  2022-02-26       Impact factor: 2.682

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.