Impact of radiobiological models on the calculation of the therapeutic parameters of Grid therapy for breast cancer.


Journal

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
ISSN: 1872-9800
Titre abrégé: Appl Radiat Isot
Pays: England
ID NLM: 9306253

Informations de publication

Date de publication:
Aug 2021
Historique:
received: 24 11 2020
revised: 02 04 2021
accepted: 07 05 2021
pubmed: 4 6 2021
medline: 12 1 2022
entrez: 3 6 2021
Statut: ppublish

Résumé

Therapeutic advantages of Grid therapy have been demonstrated in several theoretical studies using the standard linear-quadratic (LQ) model. However, the suitability of the LQ model when describing cell killing at highly modulated radiation fields has been questioned. In this study, we have applied an extended LQ model to recalculate therapeutic parameters of Grid therapy. This study shows that incorporating the bystander effects in the radiobiological models would significantly change the theoretical predictions and conclusion of Grid therapy, especially at high dose gradient fields.

Identifiants

pubmed: 34082185
pii: S0969-8043(21)00181-0
doi: 10.1016/j.apradiso.2021.109776
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109776

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Farshid Mahmoudi (F)

Department of Medical Physics, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. Electronic address: farshidmahmoudi71@yahoo.com.

Nahid Chegeni (N)

Department of Medical Physics, Faculty of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran. Electronic address: chegenin@gmail.com.

Ali Bagheri (A)

Interventional Radiotherapy Ward, Department of Radiation Oncology, Jundishapur University of Medical Sciences, Ahvaz, Iran.

Jafar Fatahi Asl (J)

Department of Radiology Technology, School of Allied Medical Sciences, Jundishapur University of Medical Sciences, Ahvaz, Iran.

Mohammad Taghi Batiar (MT)

Department of Nuclear Engineering, Faculty of Nuclear Sciences, Shahid Beheshti University, Tehran, Iran.

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Classifications MeSH