Uncertainty analysis of single-time-point organ dosimetry compared with the multi-time-point method in radioimmunotherapy

BACKGROUND: A position paper released by the European Association of Nuclear Medicine emphasised the need for multidisciplinary engagement to establish dosimetry-based personalised treatment in Radionuclide therapy (RNT). The uncertainty analysis results often ignored in routine clinical practice should be incorporated into the dose calculations to improve the efficacy and accuracy of treatment. In this study, patients with haematological malignancies undergoing radioimmunotherapy were evaluated. Our study aimed to calculate the uncertainties associated with each parameter of the single time point (STP) dosimetry chain and compare the with multiple time points (MTP) in the bone marrow and liver results. METHODS: Y-besilesomab(2.43 ± 0.53GBq). A dosimetry analysis was performed on bone marrow (BM) and liver with MTP and STP. We investigated the uncertainty in population mean effective half-life, volume, recovery coefficient, counts, measured activity, fitting parameters, time-integrated-activity, S-factors, and absorbed dose (AD) for a group of patients. RESULTS: = 1) was noted for the liver. CONCLUSION: The absorbed dose uncertainty in STP was significantly higher compared to the MTP. Incorporating the uncertainty analysis for STP dosimetry parameters in routine clinical practice is strongly recommended. The accuracy in the acquisition time, population-based half-life and fitting function for time activity curve is vital for minimising uncertainty in STP dosimetry, which is less time-consuming and easier to implement in clinical practice than MTP.

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Journal
EJNMMI Physics
Published
2026-05-02
DOI
https://doi.org/10.1186/s40658-026-00883-3
Primary Topic
Radiopharmaceutical Chemistry and Applications
Type
article
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article

Uncertainty analysis of single-time-point organ dosimetry compared with the multi-time-point method in radioimmunotherapy

Jonathan Gear, Kim Orchard, Amit Nautiyal, Gemma Lewis et al.
EJNMMI Physics
Radiopharmaceutical Chemistry and Applications
article

Uncertainty analysis of single-time-point organ dosimetry compared with the multi-time-point method in radioimmunotherapy

Jonathan Gear, Kim Orchard, Amit Nautiyal, Gemma Lewis, Sofia Michopoulou, Matthew J Guy
article en

Abstract

BACKGROUND: A position paper released by the European Association of Nuclear Medicine emphasised the need for multidisciplinary engagement to establish dosimetry-based personalised treatment in Radionuclide therapy (RNT). The uncertainty analysis results often ignored in routine clinical practice should be incorporated into the dose calculations to improve the efficacy and accuracy of treatment. In this study, patients with haematological malignancies undergoing radioimmunotherapy were evaluated. Our study aimed to calculate the uncertainties associated with each parameter of the single time point (STP) dosimetry chain and compare the with multiple time points (MTP) in the bone marrow and liver results. METHODS: Y-besilesomab(2.43 ± 0.53GBq). A dosimetry analysis was performed on bone marrow (BM) and liver with MTP and STP. We investigated the uncertainty in population mean effective half-life, volume, recovery coefficient, counts, measured activity, fitting parameters, time-integrated-activity, S-factors, and absorbed dose (AD) for a group of patients. RESULTS: = 1) was noted for the liver. CONCLUSION: The absorbed dose uncertainty in STP was significantly higher compared to the MTP. Incorporating the uncertainty analysis for STP dosimetry parameters in routine clinical practice is strongly recommended. The accuracy in the acquisition time, population-based half-life and fitting function for time activity curve is vital for minimising uncertainty in STP dosimetry, which is less time-consuming and easier to implement in clinical practice than MTP.

EJNMMI Physics
Royal Marsden NHS Foundation Trust (GB), Institute of Cancer Research (GB), Southampton General Hospital (GB), University Hospital Southampton NHS Foundation Trust (GB), University of Bristol (GB), University of Southampton (GB)
Good health and well-being
Openalex Percentile: Top 9%
Radiopharmaceutical Chemistry and Applications
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