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Quantitative SPECT/CT imaging of lead-212: a phantom study
Monika Kvassheim1,2, Mona-Elisabeth R Revheim3,4, Caroline Stokke5,6
1Department of Physics and Computational Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway. mokvas@ous-hf.no.
EJNMMI Physics
|August 4, 2022
Summary
Quantitative SPECT/CT imaging of lead-212 (212Pb) is feasible for targeted therapy. Optimized imaging protocols and high reconstruction iterations ensure accurate dosimetry for personalized patient treatment.
Area of Science:
- Nuclear Medicine
- Radiopharmaceutical Therapy
- Medical Imaging
Background:
- Lead-212 (212Pb) is a promising radionuclide for targeted therapy, decaying to bismuth-212 (212Bi), an alpha-particle emitter.
- The short half-life of 212Bi necessitates strategies to extend its therapeutic utility.
- Quantitative SPECT/CT imaging of 212Pb is crucial for dosimetry and clinical trial preparation.
Purpose of the Study:
- To assess the feasibility of quantitative SPECT/CT imaging for 212Pb.
- To optimize acquisition and reconstruction parameters for accurate 212Pb quantitation.
- To explore individualized patient dosimetric estimation using 212Pb SPECT/CT.
Main Methods:
- Investigated various acquisition parameters, including energy windows (239 keV, 79 keV) and collimators (High Energy).
- Evaluated iterative reconstruction parameters (iterations x subsets) for visual quality and quantitative uncertainty.
- Determined calibration factors using phantoms, assessing stability above 1 MBq activity.
Main Results:
- All studied imaging protocols were suitable for quantitative 212Pb imaging with minor differences.
- Fractional uncertainty in activity quantitation was 16-21% in 2.6 ml spheres for most protocols.
- Image quality improved with filters and higher iterative reconstruction updates.
Conclusions:
- Quantitative SPECT/CT imaging of 212Pb is feasible for targeted therapy applications.
- High numbers of reconstruction iterations are recommended to minimize uncertainties.
- Optimized protocols enable accurate dosimetry for personalized treatment planning.
