Monte Carlo-based software for 3D personalized dose calculations in image-guided radiotherapy.

Breast CBCT, Cone Beam Computed Tomography Head-and-neck IGRT IGRT, Image Guided Radiotherapy MC, Monte Carlo Monte Carlo dose calculation Personalized dose Prostate

Journal

Physics and imaging in radiation oncology
ISSN: 2405-6316
Titre abrégé: Phys Imaging Radiat Oncol
Pays: Netherlands
ID NLM: 101704276

Informations de publication

Date de publication:
Jan 2022
Historique:
received: 13 10 2021
revised: 28 01 2022
accepted: 11 02 2022
entrez: 4 3 2022
pubmed: 5 3 2022
medline: 5 3 2022
Statut: epublish

Résumé

Image-guided radiotherapy (IGRT) involves frequent in-room imaging sessions contributing to additional patient irradiation. The present work provided patient-specific dosimetric data related to different imaging protocols and anatomical sites. We developed a Monte Carlo based software able to calculate 3D personalized dose distributions for five imaging devices delivering kV-CBCT (Elekta and Varian linacs), MV-CT (Tomotherapy machines) and 2D-kV stereoscopic images from BrainLab and Accuray. Our study reported the dose distributions calculated for pelvis, head and neck and breast cases based on dose volume histograms for several organs at risk. 2D-kV imaging provided the minimum dose with less than 1 mGy per image pair. For a single kV-CBCT and MV-CT, median dose to organs were respectively around 30 mGy and 15 mGy for the pelvis, around 7 mGy and 10 mGy for the head and neck and around 5 mGy and 15 mGy for the breast. While MV-CT dose varied sparsely with tissues, dose from kV imaging was around 1.7 times higher in bones than in soft tissue. Daily kV-CBCT along 40 sessions of prostate radiotherapy delivered up to 3.5 Gy to the femoral heads. The dose level for head and neck and breast appeared to be lower than 0.4 Gy for every organ in case of a daily imaging session. This study showed the dosimetric impact of IGRT procedures. Acquisition parameters should therefore be chosen wisely depending on the clinical purposes and tailored to morphology. Indeed, imaging dose could be reduced up to a factor 10 with optimized protocols.

Sections du résumé

BACKGROUND AND PURPOSE OBJECTIVE
Image-guided radiotherapy (IGRT) involves frequent in-room imaging sessions contributing to additional patient irradiation. The present work provided patient-specific dosimetric data related to different imaging protocols and anatomical sites.
MATERIAL AND METHODS METHODS
We developed a Monte Carlo based software able to calculate 3D personalized dose distributions for five imaging devices delivering kV-CBCT (Elekta and Varian linacs), MV-CT (Tomotherapy machines) and 2D-kV stereoscopic images from BrainLab and Accuray. Our study reported the dose distributions calculated for pelvis, head and neck and breast cases based on dose volume histograms for several organs at risk.
RESULTS RESULTS
2D-kV imaging provided the minimum dose with less than 1 mGy per image pair. For a single kV-CBCT and MV-CT, median dose to organs were respectively around 30 mGy and 15 mGy for the pelvis, around 7 mGy and 10 mGy for the head and neck and around 5 mGy and 15 mGy for the breast. While MV-CT dose varied sparsely with tissues, dose from kV imaging was around 1.7 times higher in bones than in soft tissue. Daily kV-CBCT along 40 sessions of prostate radiotherapy delivered up to 3.5 Gy to the femoral heads. The dose level for head and neck and breast appeared to be lower than 0.4 Gy for every organ in case of a daily imaging session.
CONCLUSIONS CONCLUSIONS
This study showed the dosimetric impact of IGRT procedures. Acquisition parameters should therefore be chosen wisely depending on the clinical purposes and tailored to morphology. Indeed, imaging dose could be reduced up to a factor 10 with optimized protocols.

Identifiants

pubmed: 35243041
doi: 10.1016/j.phro.2022.02.004
pii: S2405-6316(22)00010-0
pmc: PMC8885460
doi:

Types de publication

Journal Article

Langues

eng

Pagination

108-114

Informations de copyright

© 2022 The Authors.

Déclaration de conflit d'intérêts

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.

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Auteurs

Coralie Le Deroff (C)

Centre Eugène Marquis (Unicancer), Rennes, France.

Lucie Berger (L)

Centre Jean Perrin (Unicancer), Clermont Ferrand, France.

Julien Bellec (J)

Centre Eugène Marquis (Unicancer), Rennes, France.

Guillaume Boissonnat (G)

Université Paris-Saclay, CEA, List, F-91120 Palaiseau, France.

Héléna Chesneau (H)

Centre Eugène Marquis (Unicancer), Rennes, France.

Sophie Chiavassa (S)

Institut de Cancérologie de l'Ouest (Unicancer), Saint-Herblain, France.

Julie Desrousseaux (J)

Assistance Publique - Hôpitaux de Marseille, Marseille, France.

Stéphanie Gempp (S)

Assistance Publique - Hôpitaux de Marseille, Marseille, France.

Olivier Henry (O)

Centre Eugène Marquis (Unicancer), Rennes, France.

Jimmy Jarril (J)

Centre Jean Perrin (Unicancer), Clermont Ferrand, France.

Delphine Lazaro (D)

Université Paris-Saclay, CEA, List, F-91120 Palaiseau, France.

Ronan Lefeuvre (R)

Centre Eugène Marquis (Unicancer), Rennes, France.

Vincent Passal (V)

Institut de Cancérologie de l'Ouest (Unicancer), Saint-Herblain, France.

Fanny Solinhac (F)

Assistance Publique - Hôpitaux de Marseille, Marseille, France.

Caroline Lafond (C)

Centre Eugène Marquis (Unicancer), Rennes, France.
Université de Rennes, Inserm, LTSI - UMR 1099, Rennes, France.

Gregory Delpon (G)

Institut de Cancérologie de l'Ouest (Unicancer), Saint-Herblain, France.

Classifications MeSH