A microscopic model of the dose distribution in hepatocellular carcinoma after selective internal radiation therapy.

Dosimetry evaluation Hepatocellular carcinoma Microscopic model Selective internal radiation therapy

Journal

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
ISSN: 1724-191X
Titre abrégé: Phys Med
Pays: Italy
ID NLM: 9302888

Informations de publication

Date de publication:
01 Jun 2024
Historique:
received: 12 10 2023
revised: 03 04 2024
accepted: 21 05 2024
medline: 3 6 2024
pubmed: 3 6 2024
entrez: 2 6 2024
Statut: aheadofprint

Résumé

The dosimetry evaluation for the selective internal radiation therapy is currently performed assuming a uniform activity distribution, which is in contrast with literature findings. A 2D microscopic model of the perfused liver was developed to evaluate the effect of two different Two subjects diagnosed with liver cancer were included in this study. For each subject, abdominal CT scans acquired prior to the SIRT and post-treatment In homogenous simulations, the dose delivery is uniform in the whole liver while in the tumor-clustered simulations a heterogeneous distribution of the delivered dose is visible with higher values in the tumor regions. In addition, in the tumor-clustered simulation, the delivered dose is higher in the viable tumor than in the necrotic tumor, for all patients. In the tumor-clustered case, the dose delivered in the non-tumoral tissue (NTT) was considerably lower than in the perfused liver. The model proposed here represents a proof-of-concept for personalized dosimetry assessment based on preoperative CT images.

Identifiants

pubmed: 38824827
pii: S1120-1797(24)00179-0
doi: 10.1016/j.ejmp.2024.103384
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103384

Informations de copyright

Copyright © 2024 Associazione Italiana di Fisica Medica e Sanitaria. Published by Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Elena Cutrì (E)

Univ Rennes, CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, F-35000, Rennes, France; Université de technologie de Compiègne, CNRS, Biomechanics and Bioengineering, 60203 Compiègne Cedex, France; Inria, Saclay Ile-de-France, Palaiseau, 91120, France. Electronic address: elena.cutri@utc.fr.

Ewan Morel-Corlu (E)

Univ Rennes, CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, F-35000, Rennes, France.

Yan Rolland (Y)

Univ Rennes, CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, F-35000, Rennes, France.

Hervé Saint-Jalmes (H)

Univ Rennes, CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, F-35000, Rennes, France.

Pierre-Antoine Eliat (PA)

INRAE, INSERM, Univ Rennes, Nutrition Metabolisms and Cancer, NuMeCan, St Gilles, Rennes, France; CNRS, INSERM, Biosit UAR 3480 US_S 018, PRISM, Univ Rennes, Rennes, France.

Etienne Garin (E)

INRAE, INSERM, Univ Rennes, Nutrition Metabolisms and Cancer, NuMeCan, St Gilles, Rennes, France; Department of Nuclear Medicine, Centre Eugène Marquis, Rennes, France.

Johanne Bezy-Wendling (J)

Univ Rennes, CLCC Eugène Marquis, Inserm, LTSI - UMR 1099, F-35000, Rennes, France.

Classifications MeSH