Renaud, J.M., Poitrasson-Rivière, A., Moody, J.B. et al. Improved diagnostic accuracy for coronary artery disease detection with quantitative 3D 82Rb PET myocardial perfusion imaging. Eur J Nucl Med Mol Imaging 51, 147–158 (2023).
Description:
To ensure maximum diagnostic accuracy for myocardial perfusion imaging (MPI) using rubidium-82 (82Rb) with contemporary 3D PET/CT technology, it’s essential to establish robust normal databases.
This study examined 1571 patients with 82Rb PET/CT MPI on a 3D scanner, with stress static images reconstructed with and without time-of-flight (TOF) modeling. Additionally, eighty low pre-test probability patients were used to create sex-stratified and sex-independent normal databases. By applying these databases to patient reconstructions, the total perfusion deficit (TPD), a metric for defect extent and severity, was quantified. Applying these 3D databases significantly improved the accuracy of total perfusion deficit (TPD) measurements.
Clinical Relevance:
The study shows that 3D normal databases can increase diagnostic accuracy to 80.1%, outperforming traditional 2D methods. Moreover, the minimal differences between male and female normal distributions simplify clinical application by allowing for sex-independent databases.
Partners in Research:
INVIA Medical Imaging Solutions and the University of Michigan collaborated on this research.
