Modeling hypoxia-induced radiation resistance and the impact of radiation sources.

Cancer Hadron therapy Hypoxia Microvasculature Radiotherapy

Journal

Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250

Informations de publication

Date de publication:
20 Mar 2024
Historique:
received: 12 01 2024
revised: 29 02 2024
accepted: 17 03 2024
medline: 24 3 2024
pubmed: 24 3 2024
entrez: 23 3 2024
Statut: aheadofprint

Résumé

Hypoxia contributes significantly to resistance in radiotherapy. Our research rigorously examines the influence of microvascular morphology on radiotherapy outcome, specifically focusing on how microvasculature shapes hypoxia within the microenvironment and affects resistance to a standard treatment regimen (30×2Gy

Identifiants

pubmed: 38520919
pii: S0010-4825(24)00418-9
doi: 10.1016/j.compbiomed.2024.108334
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

108334

Informations de copyright

Copyright © 2024 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest None declared.

Auteurs

Luca Possenti (L)

Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, Milan, 20133, Italy. Electronic address: luca.possenti@istitutotumori.mi.it.

Piermario Vitullo (P)

MOX, Department of Mathematics, Politecnico di Milano, P.zza Da Vinci 32, Milan, 20133, Italy.

Alessandro Cicchetti (A)

Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, Milan, 20133, Italy.

Paolo Zunino (P)

MOX, Department of Mathematics, Politecnico di Milano, P.zza Da Vinci 32, Milan, 20133, Italy.

Tiziana Rancati (T)

Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, Milan, 20133, Italy.

Classifications MeSH