TY - JOUR
T1 - Present developments in reaching an international consensus for a model-based approach to particle beam therapy
AU - Prayongrat, Anussara
AU - Umegaki, Kikuo
AU - Van Der Schaaf, Arjen
AU - Koong, Albert C.
AU - Lin, Steven H.
AU - Whitaker, Thomas
AU - McNutt, Todd
AU - Matsufuji, Naruhiro
AU - Graves, Edward
AU - Mizuta, Masahiko
AU - Ogawa, Kazuhiko
AU - Date, Hiroyuki
AU - Moriwaki, Kensuke
AU - Ito, Yoichi M.
AU - Kobashi, Keiji
AU - Dekura, Yasuhiro
AU - Shimizu, Shinichi
AU - Shirato, Hiroki
N1 - Publisher Copyright:
© The Author(s) 2018. Published by Oxford University Press on behalf of The Japan Radiation Research Society and Japanese Society for Radiation Oncology.
PY - 2018/3/1
Y1 - 2018/3/1
N2 - Particle beam therapy (PBT), including proton and carbon ion therapy, is an emerging innovative treatment for cancer patients. Due to the high cost of and limited access to treatment, meticulous selection of patients who would benefit most from PBT, when compared with standard X-ray therapy (XRT), is necessary. Due to the cost and labor involved in randomized controlled trials, the model-based approach (MBA) is used as an alternative means of establishing scientific evidence in medicine, and it can be improved continuously. Good databases and reasonable models are crucial for the reliability of this approach. The tumor control probability and normal tissue complication probability models are good illustrations of the advantages of PBT, but pre-existing NTCP models have been derived from historical patient treatments from the XRT era. This highlights the necessity of prospectively analyzing specific treatment-related toxicities in order to develop PBT-compatible models. An international consensus has been reached at the Global Institution for Collaborative Research and Education (GI-CoRE) joint symposium, concluding that a systematically developed model is required for model accuracy and performance. Six important steps that need to be observed in these considerations include patient selection, treatment planning, beam delivery, dose verification, response assessment, and data analysis. Advanced technologies in radiotherapy and computer science can be integrated to improve the efficacy of a treatment. Model validation and appropriately defined thresholds in a cost-effectiveness centered manner, together with quality assurance in the treatment planning, have to be achieved prior to clinical implementation.
AB - Particle beam therapy (PBT), including proton and carbon ion therapy, is an emerging innovative treatment for cancer patients. Due to the high cost of and limited access to treatment, meticulous selection of patients who would benefit most from PBT, when compared with standard X-ray therapy (XRT), is necessary. Due to the cost and labor involved in randomized controlled trials, the model-based approach (MBA) is used as an alternative means of establishing scientific evidence in medicine, and it can be improved continuously. Good databases and reasonable models are crucial for the reliability of this approach. The tumor control probability and normal tissue complication probability models are good illustrations of the advantages of PBT, but pre-existing NTCP models have been derived from historical patient treatments from the XRT era. This highlights the necessity of prospectively analyzing specific treatment-related toxicities in order to develop PBT-compatible models. An international consensus has been reached at the Global Institution for Collaborative Research and Education (GI-CoRE) joint symposium, concluding that a systematically developed model is required for model accuracy and performance. Six important steps that need to be observed in these considerations include patient selection, treatment planning, beam delivery, dose verification, response assessment, and data analysis. Advanced technologies in radiotherapy and computer science can be integrated to improve the efficacy of a treatment. Model validation and appropriately defined thresholds in a cost-effectiveness centered manner, together with quality assurance in the treatment planning, have to be achieved prior to clinical implementation.
KW - GI-CoRE
KW - model-based approach
KW - normal tissue complication probability
KW - particle beam therapy
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U2 - 10.1093/jrr/rry008
DO - 10.1093/jrr/rry008
M3 - Article
C2 - 29529229
AN - SCOPUS:85044676129
SN - 0449-3060
VL - 59
SP - i72-i76
JO - Journal of radiation research
JF - Journal of radiation research
ER -