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dc.creatorMoran, V. (Verónica)-
dc.creatorPrieto, E. (Elena)-
dc.creatorSancho, L. (Lidia)-
dc.creatorRodriguez-Fraile, M. (Macarena)-
dc.creatorSoria, L. (Leticia)-
dc.creatorZubiria, A. (Arantxa)-
dc.creatorMarti-Climent, J.M. (Josep María)-
dc.date.accessioned2023-05-23T09:59:20Z-
dc.date.available2023-05-23T09:59:20Z-
dc.date.issued2020-
dc.identifier.citationMoran, V. (Verónica); Prieto, E. (Elena); Sancho, L. (Lidia); et al. "Impact of the dosimetry approach on the resulting 90Y radioembolization planned absorbed doses based on 99mTc-MAA SPEC T-CT: is there agreement between dosimetry methods?". EJNMMI Physics. 7 (72), 2020,es
dc.identifier.issn2197-7364-
dc.identifier.urihttps://hdl.handle.net/10171/66342-
dc.description.abstractBackground: Prior radioembolization, a simulation using 99mTc-macroaggregated albumin as 90Y-microspheres surrogate is performed. Gamma scintigraphy images (planar, SPECT, or SPECT-CT) are acquired to evaluate intrahepatic 90Y-microspheres distribution and detect possible extrahepatic and lung shunting. These images may be used for pre-treatment dosimetry evaluation to calculate the 90Y activity that would get an optimal tumor response while sparing healthy tissues. Several dosimetry methods are available, but there is still no consensus on the best methodology to calculate absorbed doses. The goal of this study was to retrospectively evaluate the impact of using different dosimetry approaches on the resulting 90Y-radioembolization pre-treatment absorbed dose evaluation based on 99mTc-MAA images. Methods: Absorbed doses within volumes of interest resulting from partition model (PM) and 3D voxel dosimetry methods (3D-VDM) (dose-point kernel convolution and local deposition method) were evaluated. Additionally, a new “Multi-tumor Partition Model” (MTPM) was developed. The differences among dosimetry approaches were evaluated in terms of mean absorbed dose and dose volume histograms within the volumes of interest. Results: Differences in mean absorbed dose among dosimetry methods are higher in tumor volumes than in non-tumoral ones. The differences between MTPM and both 3D-VDM were substantially lower than those observed between PM and any 3D-VDM. A poor correlation and concordance were found between PM and the other studied dosimetry approaches. DVH obtained from either 3D-VDM are pretty similar in both healthy liver and individual tumors. Although no relevant global differences, in terms of absorbed dose in Gy, between both 3D-VDM were found, important voxel-by-voxel differences have been observed. Conclusions: Significant differences among the studied dosimetry approaches for 90Y-radioembolization treatments exist. Differences do not yield a substantial impact in treatment planning for healthy tissue but they do for tumoral liver. An individual segmentation and evaluation of the tumors is essential. In patients with multiple tumors, the application of PM is not optimal and the 3D-VDM or the new MTPM are suggested instead. If a 3D-VDM method is not available, MTPM is the best option. Furthermore, both 3D-VDM approaches may be indistinctly used.es_ES
dc.description.sponsorshipNot applicable.es_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subject90Y-Microsphereses_ES
dc.subject99mTc-MAAes_ES
dc.subjectRadioembolizationes_ES
dc.subjectPredictive dosimetryes_ES
dc.subjectPartition modeles_ES
dc.subjectMulti-tumor partition modeles_ES
dc.subject3D voxel dosimetryes_ES
dc.subjectLocal deposition methodes_ES
dc.subjectDose point kerneles_ES
dc.titleImpact of the dosimetry approach on the resulting 90Y radioembolization planned absorbed doses based on 99mTc-MAA SPEC T-CT: is there agreement between dosimetry methods?es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.noteThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.es_ES
dc.editorial.noteSpringer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.es_ES
dc.identifier.doi10.1186/s40658-020-00343-6-
dadun.citation.number72es_ES
dadun.citation.publicationNameEJNMMI Physicses_ES
dadun.citation.volume7es_ES

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