A personalized Monte Carlo study of tumor and critical organ doses for trans-arterial radioembolization patients.

Monte Carlo absorbed dose personalized dosimetry trans-arterial radioembolization

Journal

Physics in medicine and biology
ISSN: 1361-6560
Titre abrégé: Phys Med Biol
Pays: England
ID NLM: 0401220

Informations de publication

Date de publication:
25 09 2023
Historique:
received: 10 02 2023
accepted: 07 09 2023
medline: 26 9 2023
pubmed: 8 9 2023
entrez: 7 9 2023
Statut: epublish

Résumé

Trans-arterial radioembolization (TARE) is an intra-arterial treatment method for liver malignancies. In this procedure, the therapeutic tumor dose is significant for predicting the treatment effectiveness while the dose absorbed in an organ at risk provides an understanding of its tolerance to radiation. This study proposes a Monte Carlo (MC) approach for determining absorbed organ doses for patients undergoing TARE treatment. The technique is based on the use of a voxel-based partial body model generated for each patient from his/her anatomical image data to represent the critical body structures more realistically. These structures are first segmented from image slices to create an image block which is then incorporated into a radiation transport package (MCNP6.2) to perform MC simulations. When used along with the parameters specific to a patient's treatment, such as lung-shunt factor, tumor-to-normal liver ratio, fractional uptakes, and administered activity, this approach allowed more accurate simulation of radiation interactions and hence provided absorbed doses specific to a TARE patient. The MC method also calculated the absorbed doses in organs or tissues that were close to target tissues for which the Medical Internal Radiation Dose Committee (MIRD) formalism makes no predictions. MIRD calculations were found to overestimate the absorbed doses by as much as 11% in lungs, 5% in liver, and 20% in tumor volumes. This raises concerns about the treatment's efficacy when estimating the correct activity to be administered to a patient. When each patient simulation was repeated with a

Identifiants

pubmed: 37678259
doi: 10.1088/1361-6560/acf7a7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2023 Institute of Physics and Engineering in Medicine.

Auteurs

Ahmet Bozkurt (A)

Division of Computational Science and Engineering, Informatics Institute, Istanbul Technical University, 34467 Istanbul, Turkey.

Gul Demir Toker (GD)

Department of Nuclear Medicine, Faculty of Medicine, Akdeniz University, Antalya, Turkey.

Metin Erkilic (M)

Department of Nuclear Medicine, Faculty of Medicine, Akdeniz University, Antalya, Turkey.

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Classifications MeSH