Patient-tailored risk assessment of obstructive coronary artery disease using Rubidium-82 PET-based myocardial flow

S S Koenders1,2, J A van Dalen3, P L Jager4

  • 1Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000 GK, Zwolle, The Netherlands. skoenders93@gmail.com.

Insights

This study estimates obstructive coronary artery disease (oCAD) probability using Rubidium-82 (Rb-82) PET myocardial flow reserve (MFR). Combining visual assessment and MFR improves individual risk prediction for better treatment strategies.

Area of Science:

  • Cardiology
  • Nuclear Medicine
  • Radiology

Background:

  • Obstructive coronary artery disease (oCAD) diagnosis often relies on invasive procedures.
  • Non-invasive assessment using Rubidium-82 (Rb-82) Positron Emission Tomography (PET) offers an alternative.
  • Myocardial flow reserve (MFR) is a key metric derived from Rb-82 PET, reflecting coronary microvascular function.

Purpose of the Study:

  • To estimate the probability of obstructive coronary artery disease (oCAD) in individual patients.
  • To assess the role of myocardial flow reserve (MFR) measured by Rb-82 PET in conjunction with visual scan interpretation.
  • To determine how MFR influences oCAD probability across different visual scan classifications (normal, small defect, large defect).

Main Methods:

  • A cohort of 1519 consecutive patients without prior CAD history undergoing Rb-82 PET/CT was analyzed.
  • PET images were visually assessed and categorized as normal, small defect (5-10%), or large defect (>10%).
  • The probability of oCAD was calculated as a function of MFR for each category, with invasive coronary angiography serving as the primary endpoint.

Main Results:

  • In patients with visually normal scans, oCAD probability increased from 1% to 10% as MFR decreased from 2.1 to 1.3.
  • For scans with small defects, oCAD probability rose from 13% to 40% with decreasing MFR (2.1 to 0.7).
  • Scans with large defects showed a steeper increase in oCAD probability, from 45% to over 70% as MFR decreased from 2.1 to 0.7.

Conclusions:

  • Visual PET interpretation alone can distinguish patients with >10% oCAD risk.
  • However, MFR significantly impacts individual oCAD risk assessment.
  • Combining visual interpretation with MFR provides a more accurate individual risk stratification, potentially guiding treatment decisions.
Abstract