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3
Diagnostic Performance of QFR for the Evaluation of Intermediate Coronary Artery Stenosis Confirmed by Fractional Flow Reserve.定量血流分数(QFR)对经血流储备分数(FFR)证实的中度冠状动脉狭窄的诊断效能
Braz J Cardiovasc Surg. 2019 Mar-Apr;34(2):165-172. doi: 10.21470/1678-9741-2018-0234.
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Accuracy of Fractional Flow Reserve Derived From Coronary Angiography.基于冠状动脉造影的血流储备分数的准确性。
Circulation. 2019 Jan 22;139(4):477-484. doi: 10.1161/CIRCULATIONAHA.118.037350.
5
Cost utility of fractional flow reserve-guided percutaneous coronary intervention in multivessel coronary artery disease in Brazil.巴西多支冠状动脉疾病中血流储备分数指导的经皮冠状动脉介入治疗的成本效用。
Int J Qual Health Care. 2019 Nov 30;31(9):676-681. doi: 10.1093/intqhc/mzy240.
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Clinical Outcomes and Cost-Effectiveness Analysis of FFR Compared with Angiography in Multivessel Disease Patient.多支血管病变患者中血流储备分数(FFR)与血管造影比较的临床结局和成本效益分析。
Arq Bras Cardiol. 2019 Jan;112(1):40-47. doi: 10.5935/abc.20180262. Epub 2018 Dec 17.
7
Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve.比较一维和三维模型估算血流储备分数。
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Diagnostic performance of angiography-derived fractional flow reserve: a systematic review and Bayesian meta-analysis.血管造影衍生的血流储备分数的诊断性能:系统评价和贝叶斯荟萃分析。
Eur Heart J. 2018 Sep 14;39(35):3314-3321. doi: 10.1093/eurheartj/ehy445.
9
Quantitative flow ratio derived from diagnostic coronary angiography in assessment of patients with intermediate coronary stenosis: a wire-free fractional flow reserve study.基于诊断性冠状动脉造影的定量血流比评估中度冠状动脉狭窄患者:无导丝血流储备分数研究。
Clin Res Cardiol. 2018 Sep;107(9):858-867. doi: 10.1007/s00392-018-1258-7. Epub 2018 Aug 20.
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Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR.基于机器学习从冠状动脉计算机断层扫描血管造影术得出的计算分数血流储备(FFR)对经有创FFR验证的心肌缺血评估的诊断性能。
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二维冠状动脉造影图像计算血流储备分数的有效性和诊断性能。

Validity and Diagnostic Performance of Computing Fractional Flow Reserve From 2-Dimensional Coronary Angiography Images.

机构信息

Department of Cardiology, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran.

Department of Internal Medicine, Faculty of Medicine, Rafsanjan University of Medical Sciences, Rafsanjan, Iran.

出版信息

Tex Heart Inst J. 2023 Jan 1;50(1). doi: 10.14503/THIJ-20-7410.

DOI:10.14503/THIJ-20-7410
PMID:36720243
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9969768/
Abstract

BACKGROUND

Measurement of fractional flow reserve (FFR) is the gold standard for determining the physiologic significance of coronary artery stenosis, but newer software programs can calculate the FFR from 2-dimensional angiography images.

METHODS

A retrospective analysis was conducted using the records of patients with intermediate coronary stenoses who had undergone adenosine FFR (aFFR). To calculate the computed FFR, a software program used simulated coronary blood flow using computational geometry constructed using at least 2 patient-specific angiographic images. Two cardiologists reviewed the angiograms and determined the computational FFR independently. Intraobserver variability was measured using κ analysis and the intraclass correlation coefficient. The correlation coefficient and Bland-Altman plots were used to assess the agreement between the calculated FFR and the aFFR.

RESULTS

A total of 146 patients were included, with 95 men and 51 women, with a mean (SD) age of 61.1 (9.5) y. The mean (SD) aFFR was 0.847 (0.072), and 41 patients (27.0%) had an aFFR of 0.80 or less. There was a strong intraobserver correlation between the computational FFRs (r = 0.808; P < .001; κ = 0.806; P < .001). There was also a strong correlation between aFFR and computational FFR (r = 0.820; P < .001) and good agreement on the Bland-Altman plot. The computational FFR had a high sensitivity (95.1%) and specificity (90.1%) for detecting an aFFR of 0.80 or less.

CONCLUSION

A novel software program provides a feasible method of calculating FFR from coronary angiography images without resorting to pharmacologically induced hyperemia.

摘要

背景

分数血流储备(FFR)的测量是确定冠状动脉狭窄生理意义的金标准,但较新的软件程序可以从二维血管造影图像计算 FFR。

方法

回顾性分析了接受腺苷 FFR(aFFR)检查的中度冠状动脉狭窄患者的记录。为了计算计算 FFR,使用一种软件程序,使用基于至少 2 个患者特定血管造影图像构建的计算几何来模拟冠状动脉血流。两位心脏病专家独立审查血管造影并确定计算 FFR。使用 κ 分析和组内相关系数测量观察者内变异性。使用相关系数和 Bland-Altman 图评估计算 FFR 与 aFFR 的一致性。

结果

共纳入 146 例患者,其中男性 95 例,女性 51 例,平均(SD)年龄 61.1(9.5)岁。平均(SD)aFFR 为 0.847(0.072),41 例(27.0%)患者的 aFFR 为 0.80 或更低。计算 FFR 之间观察者内相关性较强(r = 0.808;P <.001;κ = 0.806;P <.001)。aFFR 和计算 FFR 之间也存在较强的相关性(r = 0.820;P <.001),Bland-Altman 图上的一致性较好。计算 FFR 检测 aFFR 为 0.80 或更低的灵敏度(95.1%)和特异性(90.1%)较高。

结论

一种新的软件程序提供了一种从冠状动脉造影图像计算 FFR 的可行方法,而无需进行药物诱导的充血。