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S-values for radium-223 and absorbed doses estimates for 223RACL2 using three computational phantoms.

Publication ,  Journal Article
Silva, CCO; da Silva, AX; Braz, D; Lima, LFC; Segars, WP; de Sá, LV
Published in: Appl Radiat Isot
November 2022

Radium-223 dichloride (223RaCl2), approved by FDA (Food and Drug Administration) in 2013 and in Brazil by ANVISA (Agência Nacional de Vigilância Sanitária) in 2016, offers a new therapeutic option for bone metastases from castration-resistant prostate cancer (CRPC). The advantages of radionuclide therapy for bone metastases include the simultaneous treatment of multiple lesions at the same time. The activity prescription is based on the patient's body weight, disregarding the absorbed dose limit of 2 Gy in the organ at risk: bone marrow. This study focuses on Internal Dosimetry for 223RaCl2 therapy aiming to apply biokinetic models described in the literature to estimate absorbed doses in the organs of interests, especially for the bone marrow. For this purpose, the present paper compares and validates the GATE Monte Carlo simulation with the Radioactive Decay Module (RDM) and calculates a set of S-values for Radium-223 radionuclide using male and female XCAT computational models. Moreover, a comparison of S-values for Radium-223 for three male computational models with different anatomies is also evaluated, Male (standard), Pat1 (lower body weight) and Pat2 (highest body weight). A comprehensive set of S-values was calculated for the Male model, 30 source-regions and 47 target-regions, and for Female model, 30 source-regions and 42 target-regions for Radium-223 and its decay scheme: Radon-219, Polonium-215, Lead-211, Bismuth- 211, Polonium-211 and Thallium-207. The new set of S-values will facilitate absorbed dose calculations for Radium-223 therapy. In addition, Absorbed Dose Evaluation for 223RaCl2 therapy was estimated for three different biodistributions described in the literature within three male computational models. For all biodistributions, the Pat2 phantom has a greatest absorbed dose within the red marrow, when compared with Male and Pat1.

Duke Scholars

Published In

Appl Radiat Isot

DOI

EISSN

1872-9800

Publication Date

November 2022

Volume

189

Start / End Page

110387

Location

England

Related Subject Headings

  • Thallium
  • Radon
  • Radium
  • Radioisotopes
  • Polonium
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Monte Carlo Method
  • Male
  • Humans
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Silva, C. C. O., da Silva, A. X., Braz, D., Lima, L. F. C., Segars, W. P., & de Sá, L. V. (2022). S-values for radium-223 and absorbed doses estimates for 223RACL2 using three computational phantoms. Appl Radiat Isot, 189, 110387. https://doi.org/10.1016/j.apradiso.2022.110387
Silva, Catherine C. O., Ademir X. da Silva, Delson Braz, Luis F. C. Lima, W. P. Segars, and Lidia V. de Sá. “S-values for radium-223 and absorbed doses estimates for 223RACL2 using three computational phantoms.Appl Radiat Isot 189 (November 2022): 110387. https://doi.org/10.1016/j.apradiso.2022.110387.
Silva CCO, da Silva AX, Braz D, Lima LFC, Segars WP, de Sá LV. S-values for radium-223 and absorbed doses estimates for 223RACL2 using three computational phantoms. Appl Radiat Isot. 2022 Nov;189:110387.
Silva, Catherine C. O., et al. “S-values for radium-223 and absorbed doses estimates for 223RACL2 using three computational phantoms.Appl Radiat Isot, vol. 189, Nov. 2022, p. 110387. Pubmed, doi:10.1016/j.apradiso.2022.110387.
Silva CCO, da Silva AX, Braz D, Lima LFC, Segars WP, de Sá LV. S-values for radium-223 and absorbed doses estimates for 223RACL2 using three computational phantoms. Appl Radiat Isot. 2022 Nov;189:110387.
Journal cover image

Published In

Appl Radiat Isot

DOI

EISSN

1872-9800

Publication Date

November 2022

Volume

189

Start / End Page

110387

Location

England

Related Subject Headings

  • Thallium
  • Radon
  • Radium
  • Radioisotopes
  • Polonium
  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Monte Carlo Method
  • Male
  • Humans