Literature DB >> 32768508

First experience with model-based selection of head and neck cancer patients for proton therapy.

Makbule Tambas1, Roel J H M Steenbakkers2, Hans P van der Laan2, Atje M Wolters2, Roel G J Kierkels3, Dan Scandurra2, Erik W Korevaar2, Edwin Oldehinkel2, Tineke W H van Zon-Meijer2, Stefan Both2, Johanna G M van den Hoek2, Johannes A Langendijk2.   

Abstract

PURPOSE: In the Netherlands, head and neck cancer (HNC) patients qualify for intensity modulated proton therapy (IMPT) based on model-based selection (MBS). The aim of this study was to evaluate the first experience in MBS of HNC patients.
METHODS: Patients who were subjected to MBS (Jan 2018-Sep 2019) were evaluated. A VMAT plan was created for all patients with optimal sparing of organ at risks (OARs) in normal tissue complication probability (NTCP) models for a number of toxicities. An IMPT plan was created only for those with NTCP difference (ΔNTCP) between VMAT and best-case scenario for proton (assuming 0 Gy dose for all OARs in IMPT plan) that exceeded any ΔNTCP-thresholds defined in Dutch National Indication Protocol. These patients qualified for a robust IMPT-plan creation with similar target doses and subsequent plan comparison.
RESULTS: Of 227 patients, 141 (62%) qualified for plan comparison, of which 80 (35%) were eventually selected for proton therapy. Most patients were selected based on the ΔNTCP for dysphagia-related toxicities. The selection rate was higher among patients with advanced disease, pharyngeal tumors, and/or baseline complaints. A significant reduction in all OAR doses and NTCP values was obtained with IMPT compared with VMAT in both selected and non-selected patients, but more pronounced in patients selected for protons.
CONCLUSION: Model-based selection of patients with HNC for proton therapy is clinically feasible. Approximately one third of HNC patients qualify for protons and these patients have the highest probability to benefit from protons in terms of toxicity prevention.
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Head and neck cancer; Model-based selection; Patient selection; Proton therapy

Mesh:

Year:  2020        PMID: 32768508     DOI: 10.1016/j.radonc.2020.07.056

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


  14 in total

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Authors:  Xi Cao; Peilin Liu; Xian-Shu Gao; Shiyu Shang; Jiayu Liu; Zishen Wang; Mengmeng Su; Xuanfeng Ding
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Review 2.  Proton Therapy in the Management of Luminal Gastrointestinal Cancers: Esophagus, Stomach, and Anorectum.

Authors:  Jana M Kobeissi; Charles B Simone; Lara Hilal; Abraham J Wu; Haibo Lin; Christopher H Crane; Carla Hajj
Journal:  Cancers (Basel)       Date:  2022-06-10       Impact factor: 6.575

3.  Influence of Beam Angle on Normal Tissue Complication Probability of Knowledge-Based Head and Neck Cancer Proton Planning.

Authors:  Roni Hytönen; Reynald Vanderstraeten; Max Dahele; Wilko F A R Verbakel
Journal:  Cancers (Basel)       Date:  2022-06-09       Impact factor: 6.575

4.  A Patient Selection Approach Based on NTCP Models and DVH Parameters for Definitive Proton Therapy in Locally Advanced Sinonasal Cancer Patients.

Authors:  Alfredo Mirandola; Stefania Russo; Maria Bonora; Barbara Vischioni; Anna Maria Camarda; Rossana Ingargiola; Silvia Molinelli; Sara Ronchi; Eleonora Rossi; Alessandro Vai; Nicola Alessandro Iacovelli; Juliette Thariat; Mario Ciocca; Ester Orlandi
Journal:  Cancers (Basel)       Date:  2022-05-28       Impact factor: 6.575

5.  Sensible Introduction of MR-Guided Radiotherapy: A Warm Plea for the RCT.

Authors:  Helena M Verkooijen; Lauren E Henke
Journal:  Front Oncol       Date:  2021-03-19       Impact factor: 6.244

6.  A two-stage genome-wide association study of radiation-induced acute toxicity in head and neck cancer.

Authors:  Behrooz Ziad Alizadeh; Johannes Albertus Langendijk; Elnaz Naderi; Anne Petra Gerarda Crijns; Roel Johannes Henricus Marinus Steenbakkers; Johanna Geertruida Maria van den Hoek; Hendrika Marike Boezen
Journal:  J Transl Med       Date:  2021-11-27       Impact factor: 5.531

7.  A Decision Support Tool to Optimize Selection of Head and Neck Cancer Patients for Proton Therapy.

Authors:  Makbule Tambas; Hans Paul van der Laan; Arjen van der Schaaf; Roel J H M Steenbakkers; Johannes Albertus Langendijk
Journal:  Cancers (Basel)       Date:  2022-01-28       Impact factor: 6.639

8.  Proton Radiation Therapy for Nasopharyngeal Cancer Patients: Dosimetric and NTCP Evaluation Supporting Clinical Decision.

Authors:  Alessandro Vai; Silvia Molinelli; Eleonora Rossi; Nicola Alessandro Iacovelli; Giuseppe Magro; Anna Cavallo; Emanuele Pignoli; Tiziana Rancati; Alfredo Mirandola; Stefania Russo; Rossana Ingargiola; Barbara Vischioni; Maria Bonora; Sara Ronchi; Mario Ciocca; Ester Orlandi
Journal:  Cancers (Basel)       Date:  2022-02-22       Impact factor: 6.639

9.  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

10.  NTCP Modeling of Late Effects for Head and Neck Cancer: A Systematic Review.

Authors:  Sonja Stieb; Anna Lee; Lisanne V van Dijk; Steven Frank; Clifton David Fuller; Pierre Blanchard
Journal:  Int J Part Ther       Date:  2021-06-25
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