Literature DB >> 26684410

The Quest for Evidence for Proton Therapy: Model-Based Approach and Precision Medicine.

Joachim Widder1, Arjen van der Schaaf2, Philippe Lambin3, Corrie A M Marijnen4, Jean-Philippe Pignol5, Coen R Rasch6, Ben J Slotman7, Marcel Verheij8, Johannes A Langendijk2.   

Abstract

PURPOSE: Reducing dose to normal tissues is the advantage of protons versus photons. We aimed to describe a method for translating this reduction into a clinically relevant benefit. METHODS AND MATERIALS: Dutch scientific and health care governance bodies have recently issued landmark reports regarding generation of relevant evidence for new technologies in health care including proton therapy. An approach based on normal tissue complication probability (NTCP) models has been adopted to select patients who are most likely to experience fewer (serious) adverse events achievable by state-of-the-art proton treatment.
RESULTS: By analogy with biologically targeted therapies, the technology needs to be tested in enriched cohorts of patients exhibiting the decisive predictive marker: difference in normal tissue dosimetric signatures between proton and photon treatment plans. Expected clinical benefit is then estimated by virtue of multifactorial NTCP models. In this sense, high-tech radiation therapy falls under precision medicine. As a consequence, randomizing nonenriched populations between photons and protons is predictably inefficient and likely to produce confusing results.
CONCLUSIONS: Validating NTCP models in appropriately composed cohorts treated with protons should be the primary research agenda leading to urgently needed evidence for proton therapy.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26684410     DOI: 10.1016/j.ijrobp.2015.10.004

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  33 in total

1.  Developing Predictive or Prognostic Biomarkers for Charged Particle Radiotherapy.

Authors:  Michael D Story; Jing Wang
Journal:  Int J Part Ther       Date:  2018

Review 2.  Proton beam therapy: perspectives on the National Health Service England clinical service and research programme.

Authors:  Neil G Burnet; Ranald I Mackay; Ed Smith; Amy L Chadwick; Gillian A Whitfield; David J Thomson; Matthew Lowe; Norman F Kirkby; Adrian M Crellin; Karen J Kirkby
Journal:  Br J Radiol       Date:  2020-01-14       Impact factor: 3.039

3.  Predicting Patient-specific Dosimetric Benefits of Proton Therapy for Skull-base Tumors Using a Geometric Knowledge-based Method.

Authors:  David C Hall; Alexei V Trofimov; Brian A Winey; Norbert J Liebsch; Harald Paganetti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-02-14       Impact factor: 7.038

4.  Toward a model-based patient selection strategy for proton therapy: External validation of photon-derived normal tissue complication probability models in a head and neck proton therapy cohort.

Authors:  Pierre Blanchard; Andrew J Wong; G Brandon Gunn; Adam S Garden; Abdallah S R Mohamed; David I Rosenthal; Joseph Crutison; Richard Wu; Xiaodong Zhang; X Ronald Zhu; Radhe Mohan; Mayankkumar V Amin; C David Fuller; Steven J Frank
Journal:  Radiother Oncol       Date:  2016-09-15       Impact factor: 6.280

5.  Assessment of the confidence interval in the multivariable normal tissue complication probability model for predicting radiation-induced liver disease in primary liver cancer.

Authors:  Anussara Prayongrat; Natchalee Srimaneekarn; Sira Sriswasdi; Yoichi M Ito; Norio Katoh; Masaya Tamura; Yasuhiro Dekura; Chie Toramatsu; Chonlakiet Khorprasert; Napapat Amornwichet; Petch Alisanant; Yuichi Hirata; Anthony Hayter; Hiroki Shirato; Shinichi Shimizu; Keiji Kobashi
Journal:  J Radiat Res       Date:  2021-05-12       Impact factor: 2.724

6.  Predictive Modeling of Survival and Toxicity in Patients With Hepatocellular Carcinoma After Radiotherapy.

Authors:  Ibrahim Chamseddine; Yejin Kim; Brian De; Issam El Naqa; Dan G Duda; John Wolfgang; Jennifer Pursley; Harald Paganetti; Jennifer Wo; Theodore Hong; Eugene J Koay; Clemens Grassberger
Journal:  JCO Clin Cancer Inform       Date:  2022-02

7.  Intensity-modulated proton beam therapy (IMPT) versus intensity-modulated photon therapy (IMRT) for patients with oropharynx cancer - A case matched analysis.

Authors:  Pierre Blanchard; Adam S Garden; G Brandon Gunn; David I Rosenthal; William H Morrison; Mike Hernandez; Joseph Crutison; Jack J Lee; Rong Ye; C David Fuller; Abdallah S R Mohamed; Kate A Hutcheson; Emma B Holliday; Nikhil G Thaker; Erich M Sturgis; Merrill S Kies; X Ronald Zhu; Radhe Mohan; Steven J Frank
Journal:  Radiother Oncol       Date:  2016-06-21       Impact factor: 6.280

8.  Perspectives on the model-based approach to proton therapy trials: A retrospective study of a lung cancer randomized trial.

Authors:  Aimee L McNamara; David C Hall; Nadya Shusharina; Amy Liu; Xiong Wei; Ali Ajdari; Radhe Mohan; Zhongxing Liao; Harald Paganetti
Journal:  Radiother Oncol       Date:  2020-03-27       Impact factor: 6.280

9.  A 20-Year Analysis of Clinical Trials Involving Proton Beam Therapy.

Authors:  Bismarck C L Odei; Dustin Boothe; Sameer R Keole; Carlos E Vargas; Robert L Foote; Steven E Schild; Jonathan B Ashman
Journal:  Int J Part Ther       Date:  2017-03-14

Review 10.  Who Will Benefit from Charged-Particle Therapy?

Authors:  Kyung Su Kim; Hong-Gyun Wu
Journal:  Cancer Res Treat       Date:  2021-06-21       Impact factor: 4.679

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