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Performance of a Novel Computational Hyperemic Resistance Index Derived from Cardiac CT in Coronary Chronic Syndromes
Yahia Bellouche1,2, Clement Benic1,2, Sinda Hannachi1
1Cardiology Department, Brest University Hospital, 29200 Brest, France.
Insights
A new computational Hyperemic Stenosis Resistance (cHSR) index, derived from CCTA, offers a non-invasive way to assess coronary artery disease severity. This novel index demonstrated superior diagnostic accuracy compared to other methods.
Area of Science:
- Cardiology
- Medical Imaging
- Computational Fluid Dynamics
Background:
- Coronary artery disease (CAD) is a leading cause of mortality globally.
- Current functional assessments for CAD have limitations.
- There is a need for accurate, non-invasive methods to evaluate stenosis severity.
Purpose of the Study:
- Introduce and validate a novel non-invasive computational Hyperemic Stenosis Resistance (cHSR) index.
- Compare the diagnostic performance of cHSR with FFR-computational fluid dynamics (FFRCFD) and quantitative flow ratio (QFR).
- Assess the utility of cHSR in patients with suspected chronic coronary syndrome (CCS).
Main Methods:
- Retrospective analysis of 64 patients with suspected CCS undergoing CCTA and invasive coronary angiography.
- Development of cHSR using patient-specific computational simulations based on CCTA data.
- Comparison of diagnostic accuracy of cHSR, FFRCFD, and QFR in predicting revascularization.
Main Results:
- FFRCFD showed strong correlation with invasive FFR (r = 0.87).
- cHSR achieved the highest diagnostic accuracy (96.2%) at a cut-off of 0.75 mmHg/cm·s-1.
- cHSR outperformed FFRCFD and QFR in diagnostic performance.
Conclusions:
- The computational Hyperemic Stenosis Resistance (cHSR) index is a promising non-invasive tool for functional assessment of CAD.
- cHSR demonstrates superior diagnostic performance compared to existing imaging-based indices.
- Further multicenter studies are needed to confirm clinical applicability and prognostic value in CCS management.
Abstract:
Background/Objectives: Coronary artery disease (CAD) remains the leading global cause of mortality, underscoring the need for functional assessments that extend beyond anatomical evaluation. The Hyperemic Stenosis Resistance (HSR) index combines invasive pressure and flow parameters to assess stenosis severity but faces limitations due to methodological and standardization challenges. This study aimed to introduce and validate a novel non-invasive computational equivalent of HSR (cHSR), derived from coronary computed tomography angiography (CCTA), and to compare its diagnostic performance with fractional flow reserve derived from computational fluid dynamics (FFRCFD) and quantitative flow ratio (QFR). Methods: A retrospective analysis was conducted on 64 patients (106 coronary lesions) with suspected chronic coronary syndrome (CCS) who underwent both CCTA and invasive coronary angiography (ICA). Computational simulations incorporated patient-specific boundary conditions based on CCTA-derived left ventricular and aortic flow data. Diagnostic accuracy for predicting revascularization was compared among cHSR, FFRCFD, and QFR. Results: FFRCFD showed a strong correlation with invasive FFR (r = 0.87, p < 0.0001). The cHSR index achieved the highest diagnostic accuracy (96.2%) at an optimal cut-off of 0.75 mmHg/cm·s-1, outperforming both FFRCFD and QFR. No significant correlation was found between cHSR and shear stress parameters, including the Oscillatory Shear Index (OSI) and Time-Averaged Wall Shear Stress (TAWSS), indicating complex hemodynamic interactions beyond simple flow-pressure relationships. Conclusions: The computational hyperemic stenosis resistance (cHSR) index represents a promising non-invasive tool for the functional assessment of CAD, demonstrating superior diagnostic performance compared with existing imaging-based indices. Prospective multicenter studies with larger populations are warranted to confirm its clinical applicability and prognostic value in chronic coronary syndrome management.
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