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R-IDEAL: A Framework for Systematic Clinical Evaluation of Technical Innovations in Radiation Oncology

The pace of innovation in radiation oncology is high and the window of opportunity for evaluation narrow. Financial incentives, industry pressure, and patients’ demand for high-tech treatments have led to widespread implementation of innovations before, or even without, robust evidence of improved o...

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Autores principales: Verkooijen, Helena M., Kerkmeijer, Linda G. W., Fuller, Clifton D., Huddart, Robbert, Faivre-Finn, Corinne, Verheij, Marcel, Mook, Stella, Sahgal, Arjun, Hall, Emma, Schultz, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5378068/
https://www.ncbi.nlm.nih.gov/pubmed/28421162
http://dx.doi.org/10.3389/fonc.2017.00059
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author Verkooijen, Helena M.
Kerkmeijer, Linda G. W.
Fuller, Clifton D.
Huddart, Robbert
Faivre-Finn, Corinne
Verheij, Marcel
Mook, Stella
Sahgal, Arjun
Hall, Emma
Schultz, Chris
author_facet Verkooijen, Helena M.
Kerkmeijer, Linda G. W.
Fuller, Clifton D.
Huddart, Robbert
Faivre-Finn, Corinne
Verheij, Marcel
Mook, Stella
Sahgal, Arjun
Hall, Emma
Schultz, Chris
author_sort Verkooijen, Helena M.
collection PubMed
description The pace of innovation in radiation oncology is high and the window of opportunity for evaluation narrow. Financial incentives, industry pressure, and patients’ demand for high-tech treatments have led to widespread implementation of innovations before, or even without, robust evidence of improved outcomes has been generated. The standard phase I–IV framework for drug evaluation is not the most efficient and desirable framework for assessment of technological innovations. In order to provide a standard assessment methodology for clinical evaluation of innovations in radiotherapy, we adapted the surgical IDEAL framework to fit the radiation oncology setting. Like surgery, clinical evaluation of innovations in radiation oncology is complicated by continuous technical development, team and operator dependence, and differences in quality control. Contrary to surgery, radiotherapy innovations may be used in various ways, e.g., at different tumor sites and with different aims, such as radiation volume reduction and dose escalation. Also, the effect of radiation treatment can be modeled, allowing better prediction of potential benefits and improved patient selection. Key distinctive features of R-IDEAL include the important role of predicate and modeling studies (Stage 0), randomization at an early stage in the development of the technology, and long-term follow-up for late toxicity. We implemented R-IDEAL for clinical evaluation of a recent innovation in radiation oncology, the MRI-guided linear accelerator (MR-Linac). MR-Linac combines a radiotherapy linear accelerator with a 1.5-T MRI, aiming for improved targeting, dose escalation, and margin reduction, and is expected to increase the use of hypofractionation, improve tumor control, leading to higher cure rates and less toxicity. An international consortium, with participants from seven large cancer institutes from Europe and North America, has adopted the R-IDEAL framework to work toward coordinated, evidence-based introduction of the MR-Linac. R-IDEAL holds the promise for timely, evidence-based introduction of radiotherapy innovations with proven superior effectiveness, while preventing unnecessary exposure of patients to potentially harmful interventions.
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spelling pubmed-53780682017-04-18 R-IDEAL: A Framework for Systematic Clinical Evaluation of Technical Innovations in Radiation Oncology Verkooijen, Helena M. Kerkmeijer, Linda G. W. Fuller, Clifton D. Huddart, Robbert Faivre-Finn, Corinne Verheij, Marcel Mook, Stella Sahgal, Arjun Hall, Emma Schultz, Chris Front Oncol Oncology The pace of innovation in radiation oncology is high and the window of opportunity for evaluation narrow. Financial incentives, industry pressure, and patients’ demand for high-tech treatments have led to widespread implementation of innovations before, or even without, robust evidence of improved outcomes has been generated. The standard phase I–IV framework for drug evaluation is not the most efficient and desirable framework for assessment of technological innovations. In order to provide a standard assessment methodology for clinical evaluation of innovations in radiotherapy, we adapted the surgical IDEAL framework to fit the radiation oncology setting. Like surgery, clinical evaluation of innovations in radiation oncology is complicated by continuous technical development, team and operator dependence, and differences in quality control. Contrary to surgery, radiotherapy innovations may be used in various ways, e.g., at different tumor sites and with different aims, such as radiation volume reduction and dose escalation. Also, the effect of radiation treatment can be modeled, allowing better prediction of potential benefits and improved patient selection. Key distinctive features of R-IDEAL include the important role of predicate and modeling studies (Stage 0), randomization at an early stage in the development of the technology, and long-term follow-up for late toxicity. We implemented R-IDEAL for clinical evaluation of a recent innovation in radiation oncology, the MRI-guided linear accelerator (MR-Linac). MR-Linac combines a radiotherapy linear accelerator with a 1.5-T MRI, aiming for improved targeting, dose escalation, and margin reduction, and is expected to increase the use of hypofractionation, improve tumor control, leading to higher cure rates and less toxicity. An international consortium, with participants from seven large cancer institutes from Europe and North America, has adopted the R-IDEAL framework to work toward coordinated, evidence-based introduction of the MR-Linac. R-IDEAL holds the promise for timely, evidence-based introduction of radiotherapy innovations with proven superior effectiveness, while preventing unnecessary exposure of patients to potentially harmful interventions. Frontiers Media S.A. 2017-04-03 /pmc/articles/PMC5378068/ /pubmed/28421162 http://dx.doi.org/10.3389/fonc.2017.00059 Text en Copyright © 2017 Verkooijen, Kerkmeijer, Fuller, Huddart, Faivre-Finn, Verheij, Mook, Sahgal, Hall and Schultz. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Verkooijen, Helena M.
Kerkmeijer, Linda G. W.
Fuller, Clifton D.
Huddart, Robbert
Faivre-Finn, Corinne
Verheij, Marcel
Mook, Stella
Sahgal, Arjun
Hall, Emma
Schultz, Chris
R-IDEAL: A Framework for Systematic Clinical Evaluation of Technical Innovations in Radiation Oncology
title R-IDEAL: A Framework for Systematic Clinical Evaluation of Technical Innovations in Radiation Oncology
title_full R-IDEAL: A Framework for Systematic Clinical Evaluation of Technical Innovations in Radiation Oncology
title_fullStr R-IDEAL: A Framework for Systematic Clinical Evaluation of Technical Innovations in Radiation Oncology
title_full_unstemmed R-IDEAL: A Framework for Systematic Clinical Evaluation of Technical Innovations in Radiation Oncology
title_short R-IDEAL: A Framework for Systematic Clinical Evaluation of Technical Innovations in Radiation Oncology
title_sort r-ideal: a framework for systematic clinical evaluation of technical innovations in radiation oncology
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5378068/
https://www.ncbi.nlm.nih.gov/pubmed/28421162
http://dx.doi.org/10.3389/fonc.2017.00059
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