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.

PubMed

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.

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