Objectives: Absorbed dose to red marrow (D) can be calculated using blood dosimetry. However, this method is laborious and invasive. Therefore, image-based dosimetry is the method of choice. Nonetheless, the commercial software is expensive. The goal of this work was to develop a simplified excel spreadsheet for image-based radioiodine red marrow dosimetry.

Methods: The serial whole-body images (acquired at 2, 6, 24, 48, and 72 hours) of 29 patients from the routine pretherapeutic dosimetry protocol were retrospectively reanalyzed. The commercial OLINDA/EXM image-based dosimetry software was used to calculate the whole-body time-integrated activity coefficient (TIAC) and D [in terms of absorbed dose coefficient (d)]. For the simplified excel spreadsheet, the wholebody count was obtained from the vendor-supplied software. Then, the TIAC was computed by a fitting time-activity curve using an Excel function. S factor was taken from other publications and scaled according to the patient-specific mass. A comparison of the TIAC and d from both methods was done using a non-inferiority test using a paired t-test or the Wilcoxon signed-rank test.

Results: The TIAC showed no significant difference between both methods (p=0.243). The calculated D from a simplified Excel spreadsheet was assumed to be statistically non-inferior to the commercial OLINDA/EXM image-based dosimetry software with the non-inferiority margin of 0.02 (p<0.05).

Conclusion: The dose assessment from a simplified Excel spreadsheet is feasible and relatively low cost compared to the commercial OLINDA/EXM image-based dosimetry software.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583750PMC
http://dx.doi.org/10.4274/mirt.galenos.2020.71473DOI Listing

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