An online adaptive plan library approach for intensity modulated proton therapy for head and neck cancer.

Humans Proton Therapy / adverse effects Radiotherapy Planning, Computer-Assisted / methods Radiotherapy Dosage Deglutition Disorders Radiotherapy, Intensity-Modulated / adverse effects Head and Neck Neoplasms / radiotherapy Xerostomia Organs at Risk
Daily adaptive radiotherapy Head and neck cancer Intensity modulated proton therapy Inter-fraction motion Plan library Proton therapy

Journal

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
ISSN: 1879-0887
Titre abrégé: Radiother Oncol
Pays: Ireland
ID NLM: 8407192

Informations de publication

Date de publication:
11 2022
Historique:
received: 03 03 2022
revised: 25 08 2022
accepted: 13 09 2022
pubmed: 24 9 2022
medline: 2 12 2022
entrez: 23 9 2022
Statut: ppublish

Résumé

In intensity modulated proton therapy (IMPT), the impact of setup errors and anatomical changes is commonly mitigated by robust optimization with population-based setup robustness (SR) settings and offline replanning. In this study we propose and evaluate an alternative approach based on daily plan selection from patient-specific pre-treatment established plan libraries (PLs). Clinical implementation of the PL strategy would be rather straightforward compared to daily online re-planning. For 15 head-and-neck cancer patients, the planning CT was used to generate a PL with 5 plans, robustly optimized for increasing SR: 0, 1, 2, 3, 5 mm, and 3% range robustness. Repeat CTs (rCTs) and realistic setup and range uncertainty distributions were used for simulation of treatment courses for the PL approach, treatments with fixed SR (fSR Compared to using fSR The proposed PL approach resulted in overall reduced NTCPs compared to fSR

Sections du résumé

BACKGROUND AND PURPOSE
In intensity modulated proton therapy (IMPT), the impact of setup errors and anatomical changes is commonly mitigated by robust optimization with population-based setup robustness (SR) settings and offline replanning. In this study we propose and evaluate an alternative approach based on daily plan selection from patient-specific pre-treatment established plan libraries (PLs). Clinical implementation of the PL strategy would be rather straightforward compared to daily online re-planning.
MATERIALS AND METHODS
For 15 head-and-neck cancer patients, the planning CT was used to generate a PL with 5 plans, robustly optimized for increasing SR: 0, 1, 2, 3, 5 mm, and 3% range robustness. Repeat CTs (rCTs) and realistic setup and range uncertainty distributions were used for simulation of treatment courses for the PL approach, treatments with fixed SR (fSR
RESULTS
Compared to using fSR
CONCLUSION
The proposed PL approach resulted in overall reduced NTCPs compared to fSR

Identifiants

DOI: 10.1016/j.radonc.2022.09.011 PMID: 36150418
pubmed: 36150418
pii: S0167-8140(22)04278-5
doi: 10.1016/j.radonc.2022.09.011
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

68-75

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.

Auteurs

Michelle Oud (M)

Erasmus MC Cancer Institute, Department of Radiation Oncology, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands. Electronic address: m.oud@erasmusmc.nl.

Sebastiaan Breedveld (S)

Erasmus MC Cancer Institute, Department of Radiation Oncology, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.

Marta Giżyńska (M)

Holland Proton Therapy Center, Department of Medical Physics & Informatics, Delft, The Netherlands.

Michiel Kroesen (M)

Erasmus MC Cancer Institute, Department of Radiation Oncology, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands; Holland Proton Therapy Center, Department of Radiation Oncology, Delft, The Netherlands.

Stefan Hutschemaekers (S)

Holland Proton Therapy Center, Department of Radiation Oncology, Delft, The Netherlands.

Steven Habraken (S)

Erasmus MC Cancer Institute, Department of Radiation Oncology, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands; Holland Proton Therapy Center, Department of Medical Physics & Informatics, Delft, The Netherlands.

Steven Petit (S)

Erasmus MC Cancer Institute, Department of Radiation Oncology, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.

Zoltán Perkó (Z)

Delft University of Technology, Faculty of Applied Sciences, Department of Radiation Science and Technology, The Netherlands.

Ben Heijmen (B)

Erasmus MC Cancer Institute, Department of Radiation Oncology, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands.

Mischa Hoogeman (M)

Erasmus MC Cancer Institute, Department of Radiation Oncology, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands; Holland Proton Therapy Center, Department of Medical Physics & Informatics, Delft, The Netherlands.

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › An online adaptive plan library approach for...
questionsmedicales.fr › Thérapeutique › Radiothérapie › Radiothérapie par ions lourds › Protonthérapie › An online adaptive plan library approach for...
questionsmedicales.fr › Sciences de l'information › Informatique › Informatique médicale › Applications de l'informatique médicale › Prise de décision assistée par ordinateur › Thérapie assistée par ordinateur › Radiothérapie assistée par ordinateur › Planification de radiothérapie assistée par ordinateur › An online adaptive plan library approach for...
questionsmedicales.fr › Thérapeutique › Radiothérapie › Dosimétrie en radiothérapie › An online adaptive plan library approach for...
questionsmedicales.fr › Maladies oto-rhino-laryngologiques › Maladies du pharynx › Troubles de la déglutition › An online adaptive plan library approach for...
questionsmedicales.fr › Sciences de l'information › Informatique › Informatique médicale › Applications de l'informatique médicale › Prise de décision assistée par ordinateur › Thérapie assistée par ordinateur › Radiothérapie assistée par ordinateur › Radiothérapie conformationnelle › Radiothérapie conformationnelle avec modulation d'intensité › An online adaptive plan library approach for...
questionsmedicales.fr › Tumeurs › Tumeurs par siège › Tumeurs de la tête et du cou › An online adaptive plan library approach for...
questionsmedicales.fr › Maladies du système stomatognathique › Maladies de la bouche › Maladies de la glande salivaire › Xérostomie › An online adaptive plan library approach for...
questionsmedicales.fr › Régions du corps › Organes à risque › An online adaptive plan library approach for...