Radiotherapy & Oncology

Journal: Radiotherapy & Oncology

Abbreviation

Radiother Oncol

Publisher

Elsevier

ISSN

0167-8140
1879-0887

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Publications 1 - 10 of 52

EP-1931: Suitability of dynamic trajectory mixed beam radiotherapy for head and neck and brain treatments
Mueller, Stephan; Manser, Peter; Volker, W.; et al. (2018)
Radiotherapy & Oncology
Respiratory motion prediction filters for real time tumor tracking during radiation treatment
Jöhl, Alexander; Schmid Daners, Marianne; Ehrbar, Stefanie; et al. (2015)
Radiotherapy & Oncology
Clinical necessity of multi-image based (4DMIB) optimization for targets affected by respiratory motion and treated with scanned particle therapy – A comprehensive review
Knopf, Antje-Christin; Czerska, Katarzyna; Fracchiolla, Francesco; et al. (2022)
Radiotherapy & Oncology
4D multi-image-based (4DMIB) optimization is a form of robust optimization where different uncertainty scenarios, due to anatomy variations, are considered via multiple image sets (e.g., 4DCT). In this review, we focused on providing an overview of different 4DMIB optimization implementations, introduced various frameworks to evaluate the robustness of scanned particle therapy affected by breathing motion and summarized the existing evidence on the necessity of using 4DMIB optimization clinically. Expected potential benefits of 4DMIB optimization include more robust and/or interplay-effect-resistant doses for the target volume and organs-at-risk for indications affected by anatomical variations (e.g., breathing, peristalsis, etc.). Although considerable literature is available on the research and technical aspects of 4DMIB, clinical studies are rare and often contain methodological limitations, such as, limited patient number, motion amplitude, motion and delivery time structure considerations, number of repeat CTs, etc. Therefore, the data are not conclusive. In addition, multiple studies have found that robust 3D optimized plans result in dose distributions within the set clinical tolerances and, therefore, are suitable for a treatment of moving targets with scanned particle therapy. We, therefore, consider the clinical necessity of 4DMIB optimization, when treating moving targets with scanned particle therapy, as still to be demonstrated.
Which ‘dose rate’ definition describes the FLASH sparing effect for scanned proton beams? A meta-analysis of skin murine data
Colizzi , Isabella; Poulsen , Per Rugaard; Sørensen , Brita; et al. (2025)
Radiotherapy & Oncology
We compiled preclinical proton PBS skin toxicity data to assess how various dose rate definitions (field, average, and dose average) explain the FLASH sparing effect. Only average dose rate (ADR), accounting for ‘effective irradiation time,’ reliably describes it. We identified high-dose and ADR regions where the effect was consistently observed.
Intrafraction motion during proton therapy delivered with spot scanning: What can we gain from 'repainting'?
Schwarz, Marco; Lomax, Anthony J.; von Siebenthal, Martin; et al. (2006)
Radiotherapy & Oncology
Imaging dose assessment for IGRT in particle beam therapy
Steiner, Elisabeth; Stock, Markus; Kostresevic, Boris; et al. (2013)
Radiotherapy & Oncology
Respiratory motion-management in stereotactic body radiation therapy for lung cancer - A dosimetric comparison in an anthropomorphic lung phantom (LuCa)
Ehrbar, Stefanie; Perrin, Rosalind; Peroni, Marta; et al. (2016)
Radiotherapy & Oncology
Anatomic changes in head and neck intensity-modulated proton therapy: Comparison between robust optimization and online adaptation
Lalonde, Arthur; Bobić, Mislav; Winey, Brian; et al. (2021)
Radiotherapy & Oncology
Background/purpose Setup variations and anatomical changes can severely affect the quality of head and neck intensity-modulated proton therapy (IMPT) treatments. The impact of these changes can be alleviated by increasing the plan’s robustness a priori, or by adapting the plan online. This work compares these approaches in the context of head and neck IMPT. Materials/methods A representative cohort of 10 head and neck squamous cell carcinoma (HNSCC) patients with daily cone-beam computed tomography (CBCT) was evaluated. For each patient, three IMPT plans were created: 1- a classical robust optimization (cRO) plan optimized on the planning CT, 2- an anatomical robust optimization (aRO) plan additionally including the two first daily CBCTs and 3- a plan optimized without robustness constraints, but online-adapted (OA) daily, using a constrained spot intensity re-optimization technique only. Results The cumulative dose following OA fulfilled the clinical objective of both the high-risk and low-risk clinical target volumes (CTV) coverage in all 10 patients, compared to 8 for aRO and 4 for cRO. aRO did not significantly increase the dose to most organs at risk compared to cRO, although the integral dose was higher. OA significantly reduced the integral dose to healthy tissues compared to both robust methods, while providing equivalent or superior target coverage. Conclusion Using a simple spot intensity re-optimization, daily OA can achieve superior target coverage and lower dose to organs at risk than robust optimization methods.
Swiss Monte Carlo plan: blocks and wedges
Figini, S.P.; Fix, M.K.; Manser, P.; et al. (2003)
Radiotherapy & Oncology
Pencil beam scanning proton therapy for the treatment of craniopharyngioma complicated with radiation-induced cerebral vasculopathies: A dosimetric and linear energy transfer (LET) evaluation
Bolsi, Alessandra; Placidi, Lorenzo; Pica, Alessia; et al. (2020)
Radiotherapy & Oncology

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