Diagnostic accuracy of optical flow ratio: an individual patient-data meta-analysis

Hu, Fukang; Ding, Daixin; Westra, Jelmer; Li, Yingguang; Yu, Wenyan; Wang, Zhiqing; Kubo, Takashi; Chico, Juan Luis Gutiérrez; Chen, Yundai; Wijns, William; Tu, Shengxian

doi:10.4244/eij-d-22-01098

Cited by 6 publications

(2 citation statements)

References 26 publications

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“…The whole process can be completed in a few minutes, and the results can be displayed in real time, thus saving time and resources, and improving work efficiency. (4) Clinically effective [ 18 , 19 , 20 ]: OFR technology has been validated in multiple clinical trials for its consistency and correlation with the wire method, as well as its guidance for PCI treatment selection and outcome evaluation, thus providing effective clinical reference for clinicians. There are, however, several disadvantages of OFR technology: (1) OCT Image Quality Reliance: The effectiveness of OFR is closely tied to the clarity and accuracy of OCT images.…”

Section: Computational Coronary Physiology Technologiesmentioning

confidence: 99%

An Overview of Computational Coronary Physiology Technologies Based on Medical Imaging and Artificial Intelligence

Li,

Chen,

Wang

et al. 2024

Rev. Cardiovasc. Med.

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This article reviews four new technologies for assessment of coronary hemodynamics based on medical imaging and artificial intelligence, including quantitative flow ratio (QFR), optical flow ratio (OFR), computational fractional flow reserve (CT-FFR) and artificial intelligence (AI)-based instantaneous wave-free ratio (iFR). These technologies use medical imaging such as coronary angiography, computed tomography angiography (CTA), and optical coherence tomography (OCT), to reconstruct three-dimensional vascular models through artificial intelligence algorithms, simulate and calculate hemodynamic parameters in the coronary arteries, and achieve non-invasive and rapid assessment of the functional significance of coronary stenosis. This article details the working principles, advantages such as non-invasiveness, efficiency, accuracy, limitations such as image dependency, and assumption restrictions, of each technology. It also compares and analyzes the image dependency, calculation accuracy, calculation speed, and operation simplicity, of the four technologies. The results show that these technologies are highly consistent with the traditional invasive wire method, and shows distinct advantages in terms of accuracy, reliability, convenience and cost-effectiveness, but there are also factors that affect accuracy. The results of this review demonstrates that AI-based iFR technology is currently one of the most promising technologies. The main challenges and directions for future development are also discussed. These technologies bring new ideas for the non-invasive assessment of coronary artery disease, and are expected to promote the technological progress in this field.

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Section: Computational Coronary Physiology Technologiesmentioning

confidence: 99%

An Overview of Computational Coronary Physiology Technologies Based on Medical Imaging and Artificial Intelligence

Li,

Chen,

Wang

et al. 2024

Rev. Cardiovasc. Med.

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“…However, traditional methods for assessing PCI results, such as coronary angiography and intravascular imaging, are primarily used to evaluate vascular structure and stent implantation status, but their ability to assess the physiological function of coronary is limited (5)(6)(7). With the emergence of functional tools based on angiography and endovascular imaging in recent years, this ability to assess the physiological function has been enhanced (8,9).…”

Section: Introductionmentioning

confidence: 99%

Prognostic value of optical flow ratio for cardiovascular outcomes in patients after percutaneous coronary stent implantation

Hu,

Qiu,

Xie

et al. 2023

Front. Cardiovasc. Med.

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BackgroundThe relationship between the optical flow ratio (OFR) and clinical outcomes in patients with coronary artery disease (CAD) after percutaneous coronary stent implantation (PCI) remains unknown.ObjectiveTo examine the correlation between post-PCI OFR and clinical outcomes in patients with CAD following PCI.MethodsPatients who underwent optical coherence tomography (OCT) guided PCI at Guangdong Provincial People's Hospital were retrospectively and continuously enrolled. Clinical data, post-PCI OCT characteristics, and OFR measurements were collected and analyzed to identify predictors of target vessel failure (TVF) after PCI.ResultsAmong 354 enrolled patients, 26 suffered TVF during a median follow-up of 484 (IQR: 400–774) days. Post-PCI OFR was significantly lower in the TVF group than in the non-TVF group (0.89 vs. 0.93; P = 0.001). In multivariable Cox regression analysis, post-PCI OFR (HR per 0.1 increase: 0.60; 95% CI: 0.41–0.89; P = 0.011), large stent edge dissection (HR: 3.85; 95% CI: 1.51–9.84; P = 0.005) and thin-cap fibroatheroma (TCFA) (HR: 2.95; 95% CI: 1.19–7.35; P = 0.020) in the non-stented segment were independently associated with TVF. In addition, the inclusion of post-PCI OFR to baseline characteristics and post-PCI OCT findings improved the predictive power of the model to distinguish subsequent TVF after PCI (0.838 vs. 0.796; P = 0.028).ConclusionThe post-PCI OFR serves as an independent determinant of risk for TVF in individuals with CAD after PCI. The inclusion of post-PCI OFR assessments, alongside baseline characteristics and post-PCI OCT findings, substantially enhances the capacity to differentiate the subsequent manifestation of TVF in CAD patients following PCI.

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Diagnostic Performance of Intracoronary Optical Coherence Tomography-Modulated Quantitative Flow Ratio for Assessing Coronary Stenosis

Ding

et al. 2023

Journal of the Society for Cardiovascular Angiography & Int

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Diagnostic accuracy of optical flow ratio: an individual patient-data meta-analysis

Cited by 6 publications

References 26 publications

An Overview of Computational Coronary Physiology Technologies Based on Medical Imaging and Artificial Intelligence

An Overview of Computational Coronary Physiology Technologies Based on Medical Imaging and Artificial Intelligence

Prognostic value of optical flow ratio for cardiovascular outcomes in patients after percutaneous coronary stent implantation

Diagnostic Performance of Intracoronary Optical Coherence Tomography-Modulated Quantitative Flow Ratio for Assessing Coronary Stenosis

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