Myocardial Perfusion and Coronary Physiology Assessment of Microvascular Dysfunction in Patients Undergoing

M M Dobrolinska1, P Gąsior1, A Błach1,2

  • 1Department of Cardiology and Structural Heart Diseases, Medical University of Silesia in Katowice, 40-635 Katowice, Poland.

Insights

This study evaluates coronary artery disease (CAD) assessment in severe aortic stenosis (AS) patients undergoing TAVI. It compares invasive indices like FFR with CZT-SPECT to define significant stenosis, aiding treatment decisions.

Area of Science:

  • Cardiology
  • Interventional Cardiology
  • Cardiac Imaging

Background:

  • Coronary artery disease (CAD) affects 30-68% of severe aortic stenosis (AS) patients.
  • Invasive assessment of CAD severity (e.g., fractional flow reserve - FFR) in AS is debated due to hemodynamic influences.
  • Transcatheter aortic valve implantation (TAVI) is a common treatment for severe AS.

Purpose of the Study:

  • To assess acute and long-term changes in FFR, index of microvascular resistance (IMR), and coronary flow reserve (CFR) post-TAVI.
  • To compare the diagnostic accuracy of these intracoronary indices against myocardial perfusion measured by CZT-SPECT.
  • To establish cut-off values for FFR, IMR, and CFR that indicate significant coronary stenosis in the LAD artery.

Main Methods:

  • Enrollment of 40 TAVI-eligible patients with intermediate (30-70%) left anterior descending (LAD) stenosis.
  • Measurement of FFR, CFR, and IMR before and after TAVI (acute and 6-month follow-up).
  • Simultaneous myocardial blood flow assessment using CZT-SPECT, correlated with intracoronary measurements.

Main Results:

  • The study aims to quantify hemodynamic and microvascular changes after TAVI.
  • It seeks to validate intracoronary indices against CZT-SPECT myocardial perfusion.
  • Establishing reliable cut-off values for diagnosing significant stenosis is a key outcome.

Conclusions:

  • This research will clarify the utility of invasive CAD assessment in AS patients undergoing TAVI.
  • Findings will help optimize diagnostic strategies for coronary stenosis in this population.
  • The study aims to improve treatment decisions by providing accurate stenosis severity indicators.

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