Literature DB >> 29074078

The impact of treatment accuracy on proton therapy patient selection for oropharyngeal cancer patients.

Tine Arts1, Sebastiaan Breedveld2, Martin A de Jong3, Eleftheria Astreinidou3, Lisa Tans2, Fatma Keskin-Cambay2, Augustinus D G Krol3, Steven van de Water2, Rik G Bijman2, Mischa S Hoogeman2.   

Abstract

BACKGROUND AND
PURPOSE: The impact of treatment accuracy on NTCP-based patient selection for proton therapy is currently unknown. This study investigates this impact for oropharyngeal cancer patients.
MATERIALS AND METHODS: Data of 78 patients was used to automatically generate treatment plans for a simultaneously integrated boost prescribing 70 GyRBE/54.25 GyRBE in 35 fractions. IMRT treatment plans were generated with three different margins; intensity modulated proton therapy (IMPT) plans for five different setup and range robustness settings. Four NTCP models were evaluated. Patients were selected for proton therapy if NTCP reduction was ≥10% or ≥5% for grade II or III complications, respectively.
RESULTS: The degree of robustness had little impact on patient selection for tube feeding dependence, while the margin had. For other complications the impact of the robustness setting was noticeably higher. For high-precision IMRT (3 mm margin) and high-precision IMPT (3 mm setup/3% range error), most patients were selected for proton therapy based on problems swallowing solid food (51.3%) followed by tube feeding dependence (37.2%), decreased parotid flow (29.5%), and patient-rated xerostomia (7.7%).
CONCLUSIONS: Treatment accuracy has a significant impact on the number of patients selected for proton therapy. Therefore, it cannot be ignored in estimating the number of patients for proton therapy.
Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Head and neck cancer; IMPT; IMRT; Oropharyngeal cancer; Proton therapy; Robust optimization

Mesh:

Year:  2017        PMID: 29074078     DOI: 10.1016/j.radonc.2017.09.028

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  4 in total

1.  Synthetic CT-aided multiorgan segmentation for CBCT-guided adaptive pancreatic radiotherapy.

Authors:  Xianjin Dai; Yang Lei; Jacob Wynne; James Janopaul-Naylor; Tonghe Wang; Justin Roper; Walter J Curran; Tian Liu; Pretesh Patel; Xiaofeng Yang
Journal:  Med Phys       Date:  2021-10-13       Impact factor: 4.071

Review 2.  Assessing Novel Drugs and Radiation Technology in the Chemoradiation of Oropharyngeal Cancer.

Authors:  Agostino Cristaudo; Mitchell Hickman; Charles Fong; Paul Sanghera; Andrew Hartley
Journal:  Medicines (Basel)       Date:  2018-06-27

3.  Fast, Automated, Knowledge-Based Treatment Planning for Selecting Patients for Proton Therapy Based on Normal Tissue Complication Probabilities.

Authors:  Roni Hytönen; Marije R Vergeer; Reynald Vanderstraeten; Timo K Koponen; Christel Smith; Wilko F A R Verbakel
Journal:  Adv Radiat Oncol       Date:  2022-01-28

Review 4.  The Multidisciplinary Team (MDT) Approach and Quality of Care.

Authors:  Miren Taberna; Francisco Gil Moncayo; Enric Jané-Salas; Maite Antonio; Lorena Arribas; Esther Vilajosana; Elisabet Peralvez Torres; Ricard Mesía
Journal:  Front Oncol       Date:  2020-03-20       Impact factor: 6.244

  4 in total

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