ArticleEJNMMI physics2021
Standardizing SPECT/CT dosimetry following radioembolization with yttrium-90 microspheres.
Article in EJNMMI physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- AAPM Medical Physics Practice Guideline 14.a: Yttrium-90 microsphere radioembolization.Journal of applied clinical medical physics · 2024Guideline
- A comparison of methods for in vivo activity and absorbed dose quantification with PET/CT following yttrium-90 radioembolization.Medical physics · 2024Trial
- MRI radiomics andBMC cancer · 2026Article
- Toward the standardization of radiopharmaceutical therapies: a technical note evaluating a clinical dosimetry workflow for single-time-pointEJNMMI physics · 2025Article
- Quantitative evaluation ofMedical physics · 2024Article
- Measure ofEJNMMI reports · 2024Article
- Translating contrast enhanced computed tomography images to liver radioembolization dose distribution for more comprehensively indicating patients.Physics in medicine and biology · 2024Article
- Voxel-S-Value based 3D treatment planning methods for Y-90 microspheres radioembolization based on Tc-99m-macroaggregated albumin SPECT/CT.Scientific reports · 2023Article
- Pre- and post-treatment image-based dosimetry inPhysics in medicine and biology · 2021Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundMultiple post-treatment dosimetry methods are currently under investigation for Yttrium-90 ([Formula: see text]) radioembolization. Within each methodology, a variety of dosimetric inputs exists that affect the final dose estimates. Understanding their effects is essential to facilitating proper dose analysis and crucial in the eventual standardization of radioembolization dosimetry. The purpose of this study is to investigate the dose differences due to different self-calibrations and mass density assignments in the non-compartmental and local deposition methods. A practical mean correction method was introduced that permits dosimetry in images where the quality is compromised by patient motion and partial volume effects.
methodsTwenty-one patients underwent [Formula: see text] radioembolization and were imaged with SPECT/CT. Five different self-calibrations (FOV, Body, OAR, Liverlung, and Liver) were implemented and dosimetrically compared. The non-compartmental and local deposition method were used to perform dosimetry based on either nominal- or CT calibration-based mass densities. A mean correction method was derived assuming homogeneous densities. Cumulative dose volume histograms, linear regressions, boxplots, and Bland Altman plots were utilized for analysis.
resultsUp to 270% weighted dose difference was found between self-calibrations with mean dose differences up to 50 Gy in the liver and 23 Gy in the lungs. Between the local deposition and non-compartmental methods, the liver and lung had dose differences within 0.71 Gy and 20 Gy, respectively. The local deposition method's nominal and CT calibration-based mass density implementations dosimetric metrics were within 1.4% in the liver and 24% in the lungs. The mean lung doses calculated with the CT method were shown to be inflated. The mean correction method demonstrated that the corrected mean doses were greater by up to [Formula: see text] Gy in the liver and lower by up to [Formula: see text] Gy in the lungs.
conclusionsThe OAR calibration may be utilized as a potentially more accurate and precise self-calibration. The non-compartmental method was found more comparable to the local deposition method in organs that were more homogeneous in mass densities. Due to the potential for inflated lung mean doses, the non-compartmental and local deposition method implemented with nominal mass densities is recommended for more consistent dosimetric results. If patient motion and partial volume effects are present in the liver, our practical correction method will calculate more representative doses in images suboptimal for dosimetry.
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