Evaluation of the clinical value of automatic online dose restoration for adaptive proton therapy of head and neck cancer.

Head and neck cancer Intensity-modulated proton therapy Inter-fraction variation Online-adaptive proton therapy Robust treatment planning

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:
05 2022
Historique:
received: 28 06 2021
revised: 21 03 2022
accepted: 21 03 2022
pubmed: 30 3 2022
medline: 20 5 2022
entrez: 29 3 2022
Statut: ppublish

Résumé

Intensity modulated proton therapy (IMPT) is highly sensitive to anatomical variations which can cause inadequate target coverage during treatment. This study compares not-adapted (NA) robust plans to two adaptive IMPT methods - a fully-offline adaptive (FOA) and a simplified automatic online adaptive strategy (dose restoration (DR)) to determine the benefit of DR, in head and neck cancer (HNC). Robustly optimized clinical IMPT doses in planning-CTs (pCTs) were available for a cohort of 10 HNC patients. During robust re-optimization, DR used isodose contours, generated from the clinical dose on pCTs, and patient specific objectives to reproduce the clinical dose in every repeated-CT(rCT). For each rCT(n = 50), NA, DR and FOA plans were robustly evaluated. An improvement in DVH-metrics and robustness was seen for DR and FOA plans compared to NA plans. For NA plans, 74%(37/50) of rCTs did not fulfill the CTV coverage criteria (D98%>95%Dprescription). DR improved target coverage, target homogeneity and variability on critical risk organs such as the spinal cord. After DR, 52%(26/50) of rCTs met all clinical goals. Because of large anatomical changes and/or inaccurate patient repositioning, 48%(24/50) of rCTs still needed full offline adaptation to ensure an optimal treatment since dose restoration was not able to re-establish the initial plan quality. Robust optimization together with fully-automatized DR avoided offline adaptation in 52% of the cases. Implementation of dose restoration in clinical routine could ensure treatment plan optimality while saving valuable human and material resources to radiotherapy departments.

Identifiants

pubmed: 35346754
pii: S0167-8140(22)00149-9
doi: 10.1016/j.radonc.2022.03.011
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

190-197

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Auteurs

Elena Borderías-Villarroel (E)

Molecular Imaging, Radiotherapy and Oncology (MIRO), UCLouvain, Brussels, Brussels, Belgium. Electronic address: elena.borderias@uclouvain.be.

Vicki Taasti (V)

Department of Radiation Oncology (MAASTRO), GROW - School for Oncology, Maastricht University Medical Centre+, Netherlands. Electronic address: vicki.taasti@maastro.nl.

Wouter Van Elmpt (W)

Department of Radiation Oncology (MAASTRO), GROW - School for Oncology, Maastricht University Medical Centre+, Netherlands. Electronic address: wouter.vanelmpt@maastro.nl.

S Teruel-Rivas (S)

Molecular Imaging, Radiotherapy and Oncology (MIRO), UCLouvain, Brussels, Brussels, Belgium.

X Geets (X)

Molecular Imaging, Radiotherapy and Oncology (MIRO), UCLouvain, Brussels, Brussels, Belgium; Department of Radiation Oncology, Cliniques Universitaires Saint-Luc, Brussels, Belgium. Electronic address: xavier.geets@uclouvain.be.

E Sterpin (E)

Molecular Imaging, Radiotherapy and Oncology (MIRO), UCLouvain, Brussels, Brussels, Belgium; Department of Oncology, Laboratory of Experimental Radiotherapy, KULeuven, Belgium. Electronic address: edmond.sterpin@uclouvain.be.

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