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从冠状动脉造影中分析得出的分流量比在非侵入性评估冠状动脉狭窄中的准确性。

Accuracy of analytically determined fractional flow reserve derived from coronary angiography for non-invasive assessment of coronary artery stenosis.

机构信息

Institute for Information Technologies, University of Kragujevac, Kragujevac, Serbia.

Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia.

出版信息

Technol Health Care. 2024;32(6):4613-4626. doi: 10.3233/THC-240803.

Abstract

BACKGROUND

Fractional flow reserve (FFR) determined invasively has been globally accepted as the gold standard for determining the functional significance of coronary artery stenoses. However, despite its great importance, the invasive method has certain disadvantages, including the risk of vascular injuries, the need for vasodilation, and significant medical costs. That is why great attention was paid to the development of non-invasive methods that would enable reliable diagnosis without exposing patients to the risk of unwanted consequences.

OBJECTIVE

This paper aimed to create and verify an alternative, less resource- and time-demanding, non-invasive solution.

METHODS

The determination of FFR is based on the application of the fundamental laws of fluid dynamics. All energy losses in the coronary artery with stenosis were identified and analyzed in detail. A three-dimensional model of a coronary artery was generated using the corresponding angiographic images. Finally, the pressure due to stenosis was calculated and the FFR was determined.

RESULTS

The results obtained using the proposed analytical method were compared with available experimental data for 40 patients who experienced the invasive coronary angiography. The coefficient of determination, mean difference and standard deviation values are determined to be 0.726, -0.017 and 0.056, respectively. These values were slightly higher for FFR values above 0.80.

CONCLUSION

The FFR calculated by the proposed analytical method has a relatively good correlation with clinical data, which leads to the conclusion that it can provide a reliable assessment of the functional significance of coronary stenosis.

摘要

背景

有创测定的分比流量储备(FFR)已被全球公认为确定冠状动脉狭窄功能意义的金标准。然而,尽管这种方法非常重要,但它也存在一定的缺点,包括血管损伤的风险、需要血管扩张以及高昂的医疗费用。这就是为什么人们非常关注开发非侵入性方法的原因,这种方法可以在不使患者面临不必要后果风险的情况下进行可靠的诊断。

目的

本文旨在创建和验证一种替代的、资源和时间需求较少的非侵入性解决方案。

方法

FFR 的测定基于流体动力学基本定律的应用。详细识别和分析了狭窄冠状动脉中的所有能量损失。使用相应的血管造影图像生成了冠状动脉的三维模型。最后,计算了由于狭窄引起的压力并确定了 FFR。

结果

使用所提出的分析方法获得的结果与 40 名接受有创冠状动脉造影的患者的可用实验数据进行了比较。确定了决定系数、平均差异和标准偏差值分别为 0.726、-0.017 和 0.056,对于大于 0.80 的 FFR 值,这些值略高。

结论

所提出的分析方法计算的 FFR 与临床数据具有相对较好的相关性,这得出结论,它可以提供对冠状动脉狭窄功能意义的可靠评估。

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本文引用的文献

1
Biomarkers and their combination in a prediction of decompensation after an index hospitalization for acute heart failure.
J Family Med Prim Care. 2023 Jun;12(6):1158-1164. doi: 10.4103/jfmpc.jfmpc_1456_22. Epub 2023 Jun 30.
5
Diagnostic Performance of Fractional Flow Reserve From CT Coronary Angiography With Analytical Method.
Front Cardiovasc Med. 2021 Oct 20;8:739633. doi: 10.3389/fcvm.2021.739633. eCollection 2021.
6
An improved reduced-order model for pressure drop across arterial stenoses.
PLoS One. 2021 Oct 1;16(10):e0258047. doi: 10.1371/journal.pone.0258047. eCollection 2021.
8
Computed tomography coronary angiography - past, present and future.
Singapore Med J. 2020 Mar;61(3):109-115. doi: 10.11622/smedj.2020028.
9
Burden of Coronary Artery Disease and Peripheral Artery Disease: A Literature Review.
Cardiovasc Ther. 2019 Nov 26;2019:8295054. doi: 10.1155/2019/8295054. eCollection 2019.
10
Non-invasive imaging of the coronary arteries.
Eur Heart J. 2019 Aug 1;40(29):2444-2454. doi: 10.1093/eurheartj/ehy670.

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