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Myocardial perfusion quantification with Rb-82 PET: good interobserver agreement of Carimas software on global, regional, and segmental levels
- Source :
- Annals of nuclear medicine, vol. 36, no. 6, pp. 507-514
- Publication Year :
- 2021
-
Abstract
- Purpose To estimate the interobserver agreement of the Carimas software package (SP) on global, regional, and segmental levels for the most widely used myocardial perfusion PET tracer—Rb-82. Materials and methods Rest and stress Rb-82 PET scans of 48 patients with suspected or known coronary artery disease (CAD) were analyzed in four centers using the Carimas SP. We considered values to agree if they simultaneously had an intraclass correlation coefficient (ICC) > 0.75 and a difference Results The median values on the segmental level were 1.08 mL/min/g for rest myocardial blood flow (MBF), 2.24 mL/min/g for stress MBF, and 2.17 for myocardial flow reserve (MFR). For the rest MBF and MFR, all the values at all the levels fulfilled were in excellent agreement. For stress MBF, at the global and regional levels, all the 24 comparisons showed excellent agreement. Only 1 out of 102 segmental comparisons (seg. 14) was over the adequate agreement limit—23.5% of the median value (ICC = 0.95). Conclusion Interobserver agreement for Rb-82 PET myocardial perfusion quantification analyzed with Carimas is good at any LV segmentation level—global, regional, and segmental. It is good for all the estimates—rest MBF, stress MBF, and MFR.
- Subjects :
- Observer Variation
Perfusion
Coronary Artery Disease/diagnostic imaging
Coronary Circulation/physiology
Humans
Myocardial Perfusion Imaging
Positron-Emission Tomography
Reproducibility of Results
Rubidium Radioisotopes
Software
Absolute quantification
Agreement
Carimas
Imaging software
Myocardial blood flow
Myocardial perfusion quantification
PET standardization
Quantitative imaging
Reproducibility
Rubidium-82
Standards in nuclear cardiology
Coronary Circulation
Radiology, Nuclear Medicine and imaging
General Medicine
Coronary Artery Disease
Subjects
Details
- ISSN :
- 18646433
- Volume :
- 36
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- Annals of nuclear medicine
- Accession number :
- edsair.doi.dedup.....ecb7c3adf8c389ca345470b0096acfec