Abstract
Background
11C-PIB PET is a promising non-invasive diagnostic tool for cardiac amyloidosis. Semiautomatic analysis of PET data is now available but it is not known how accurate these methods are for amyloid imaging. The aim of this study was to evaluate the feasibility of one semiautomatic software tool for analysis and visualization of 11C-PIB left ventricular retention index (RI) in cardiac amyloidosis.
Methods and results
Patients with systemic amyloidosis and cardiac involvement (n = 10) and healthy controls (n = 5) were investigated with dynamic 11C-PIB PET. Two observers analyzed the PET studies with semiautomatic software to calculate the left ventricular RI of 11C-PIB and to create parametric images. The mean RI at 15-25 min from the semiautomatic analysis was compared with RI based on manual analysis and showed comparable values (0.056 vs 0.054 min−1 for amyloidosis patients and 0.024 vs 0.025 min−1 in healthy controls; P = .78) and the correlation was excellent (r = 0.98). Inter-reader reproducibility also was excellent (intraclass correlation coefficient, ICC > 0.98). Parametric polarmaps and histograms made visual separation of amyloidosis patients and healthy controls fast and simple.
Conclusion
Accurate semiautomatic analysis of cardiac 11C-PIB RI in amyloidosis patients is feasible. Parametric polarmaps and histograms make visual interpretation fast and simple.
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Abbreviations
- MRI:
-
Magnetic resonance imaging
- PET:
-
Positron emission tomography
- PIB:
-
Pittburg compound B
- AL:
-
Immunoglobulin light-chain amyloidosis
- ATTR:
-
Transthyretin-realated amyloidosis
- ROI:
-
Region of interest
- VOI:
-
Volume of interest
- FUR:
-
Factional uptake rate
- RI:
-
Retention index
- CT:
-
Computed tomography
- MBq:
-
Megabequerel
- ICC:
-
Intraclass correlation coefficient
- SD:
-
Standard deviation
- SUV:
-
Standardized uptake value
- TBR:
-
Target to background ratio
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Acknowledgments
We wish to express our thanks to the staff at the PET Centre at Uppsala University Hospital for their assistance with the scans and to Prof Juhani Knuuti and Dr Chunlei Han at Turku PET Centre for kind assistance with Carimas software.
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The authors have indicated that they have no financial conflict of interest.
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Kero, T., Lindsjö, L., Sörensen, J. et al. Accurate analysis and visualization of cardiac 11C-PIB uptake in amyloidosis with semiautomatic software. J. Nucl. Cardiol. 23, 741–750 (2016). https://doi.org/10.1007/s12350-015-0149-9
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DOI: https://doi.org/10.1007/s12350-015-0149-9