ArticleEJNMMI physics2020
Investigation of post-therapeutic image-based thyroid dosimetry using quantitative SPECT/CT, iodine biokinetics, and the MIRD's voxel S values in Graves' disease.
Article in EJNMMI physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 13 citations in OpenAlex.
- A machine learning-based model for a dose point kernel calculation.EJNMMI physics · 2023Article
- A Machine Learning based model for a Dose Point Kernel calculation.Research square · 2023Article
- Novel approach to semi-quantification of tracer accumulation in dopamine transporter scan.Journal of applied clinical medical physics · 2022Article
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4 authors at 2 institutions in 1 country.
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Abstract
backgroundBefore radioiodine therapy for Graves' disease, the estimated thyroid-absorbed dose is calculated based on various clinical parameters. However, the actual accumulation of iodine in the thyroid during radioiodine therapy is not determined. We validated the feasibility of post-therapeutic image-based thyroid dosimetry through quantitative single-photon emission computed tomography (SPECT) imaging and thyroid biokinetics and expanding the Medical Internal Radiation Dose Committee's (MIRD) voxel dosimetry guidelines.
methodsForty-three patients with Graves' disease who underwent radioiodine therapy were chosen as subjects for this retrospective analysis. We acquired patients' SPECT images 24 h after oral administration. SPECT images were quantified using system volume sensitivity to calculate time-integrated activity coefficients on a voxel basis. Absorbed dose was obtained by convolving MIRD guideline voxel S values with time-integrated activity coefficients. To determine accuracy, we compared the results obtained using the post-therapeutic image-based absorbed-dose method (D̅
resultsUsing image-based dosimetry as post-therapeutic dosimetry, we visualized the local accumulation and absorbed dose distribution of iodine in the thyroid. Furthermore, we determined a strong correlation (Pearson's correlation coefficient = 0.89) between both dosimetries, using the regression equation: D̅
conclusionPost-therapeutic image-based doses absorbed in the thyroid resembled those of pre-therapeutic EANM method-based absorbed doses. Additionally, the post-therapeutic image-based method had the advantage of visualizing thyroid iodine distribution, thus determining local dose distributions at the time of treatment. From these points, we propose that post-therapeutic image-based dosimetry could provide an alternative to standard pre-therapeutic dosimetry to evaluate dose response.
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