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Assessing the uncertainty in a normal tissue complication probability difference (ΔNTCP) : radiation-induced liver disease (RILD) in liver tumour patients treated with proton vs X-ray therapy

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Title: Assessing the uncertainty in a normal tissue complication probability difference (ΔNTCP) : radiation-induced liver disease (RILD) in liver tumour patients treated with proton vs X-ray therapy
Authors: Kobashi, Keiji Browse this author
Prayongrat, Anussara Browse this author
Kimoto, Takuya Browse this author
Toramatsu, Chie Browse this author
Dekura, Yasuhiro Browse this author
Katoh, Norio Browse this author →KAKEN DB
Shimizu, Shinichi Browse this author →KAKEN DB
Ito, Yoichi M. Browse this author →KAKEN DB
Shirato, Hiroki Browse this author →KAKEN DB
Keywords: normal tissue complication probability
uncertainty
proton therapy
radiation-induced liver disease
liver tumour
Issue Date: 1-Mar-2018
Publisher: Oxford University Press
Journal Title: Journal of Radiation Research
Volume: 59
Issue: suppl_1
Start Page: i50
End Page: i57
Publisher DOI: 10.1093/jrr/rry018
Abstract: Modern radiotherapy technologies such as proton beam therapy (PBT) permit dose escalation to the tumour and minimize unnecessary doses to normal tissues. To achieve appropriate patient selection for PBT, a normal tissue complication probability (NTCP) model can be applied to estimate the risk of treatment-related toxicity relative to X-ray therapy (XRT). A methodology for estimating the difference in NTCP (ΔNTCP), including its uncertainty as a function of dose to normal tissue, is described in this study using the Delta method, a statistical method for evaluating the variance of functions, considering the variance-covariance matrix. We used a virtual individual patient dataset of radiation-induced liver disease (RILD) in liver tumour patients who were treated with XRT as a study model. As an alternative option for individual patient data, dose-bin data, which consists of the number of patients who developed toxicity in each dose level/bin and the total number of patients in that dose level/bin, are useful for multi-institutional data sharing. It provides comparable accuracy with individual patient data when using the Delta method. With reliable NTCP models, the ΔNTCP with uncertainty might potentially guide the use of PBT; however, clinical validation and a cost-effectiveness study are needed to determine the appropriate ΔNTCP threshold.
Rights: http://creativecommons.org/licenses/by-nc/4.0/
Type: article
URI: http://hdl.handle.net/2115/70874
Appears in Collections:北海道大学病院 (Hokkaido University Hospital) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 小橋 啓司

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