A new plan-scoring method using normal tissue complication probability for personalized treatment plan decisions in prostate cancer

Kwang Hyeon Kim; Suk Lee; Jang Bo Shim; Dae Sik Yang; Won Sup Yoon; Young Je Park; Chul Yong Kim; Yuan Jie Cao; Kyung Hwan Chang

doi:10.3938/jkps.72.306

A new plan-scoring method using normal tissue complication probability for personalized treatment plan decisions in prostate cancer

Kwang Hyeon Kim, Suk Lee, Jang Bo Shim, Dae Sik Yang, Won Sup Yoon, Young Je Park, Chul Yong Kim, Yuan Jie Cao, Kyung Hwan Chang

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

The aim of this study was to derive a new plan-scoring index using normal tissue complication probabilities to verify different plans in the selection of personalized treatment. Plans for 12 patients treated with tomotherapy were used to compare scoring for ranking. Dosimetric and biological indexes were analyzed for the plans for a clearly distinguishable group (n = 7) and a similar group (n = 12), using treatment plan verification software that we developed. The quality factor (QF) of our support software for treatment decisions was consistent with the final treatment plan for the clearly distinguishable group (average QF = 1.202, 100% match rate, n = 7) and the similar group (average QF = 1.058, 33% match rate, n = 12). Therefore, we propose a normal tissue complication probability (NTCP) based on the plan scoring index for verification of different plans for personalized treatment-plan selection. Scoring using the new QF showed a 100% match rate (average NTCP QF = 1.0420). The NTCP-based new QF scoring method was adequate for obtaining biological verification quality and organ risk saving using the treatment-planning decision-support software we developed for prostate cancer.

Original language	English
Pages (from-to)	306-311
Number of pages	6
Journal	Journal of the Korean Physical Society
Volume	72
Issue number	2
DOIs	https://doi.org/10.3938/jkps.72.306
Publication status	Published - 2018 Jan 1

Bibliographical note

Publisher Copyright:
© 2018, The Korean Physical Society.

Keywords

Biological index
Dosimetric index
Normal tissue complication probability
Quality factor
Treatment planning decision support system

ASJC Scopus subject areas

General Physics and Astronomy

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3938/jkps.72.306

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title = "A new plan-scoring method using normal tissue complication probability for personalized treatment plan decisions in prostate cancer",

abstract = "The aim of this study was to derive a new plan-scoring index using normal tissue complication probabilities to verify different plans in the selection of personalized treatment. Plans for 12 patients treated with tomotherapy were used to compare scoring for ranking. Dosimetric and biological indexes were analyzed for the plans for a clearly distinguishable group (n = 7) and a similar group (n = 12), using treatment plan verification software that we developed. The quality factor (QF) of our support software for treatment decisions was consistent with the final treatment plan for the clearly distinguishable group (average QF = 1.202, 100% match rate, n = 7) and the similar group (average QF = 1.058, 33% match rate, n = 12). Therefore, we propose a normal tissue complication probability (NTCP) based on the plan scoring index for verification of different plans for personalized treatment-plan selection. Scoring using the new QF showed a 100% match rate (average NTCP QF = 1.0420). The NTCP-based new QF scoring method was adequate for obtaining biological verification quality and organ risk saving using the treatment-planning decision-support software we developed for prostate cancer.",

keywords = "Biological index, Dosimetric index, Normal tissue complication probability, Quality factor, Treatment planning decision support system",

author = "Kim, {Kwang Hyeon} and Suk Lee and Shim, {Jang Bo} and Yang, {Dae Sik} and Yoon, {Won Sup} and Park, {Young Je} and Kim, {Chul Yong} and Cao, {Yuan Jie} and Chang, {Kyung Hwan}",

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AU - Kim, Kwang Hyeon

AU - Lee, Suk

AU - Shim, Jang Bo

AU - Yang, Dae Sik

AU - Yoon, Won Sup

AU - Park, Young Je

AU - Kim, Chul Yong

AU - Cao, Yuan Jie

AU - Chang, Kyung Hwan

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N2 - The aim of this study was to derive a new plan-scoring index using normal tissue complication probabilities to verify different plans in the selection of personalized treatment. Plans for 12 patients treated with tomotherapy were used to compare scoring for ranking. Dosimetric and biological indexes were analyzed for the plans for a clearly distinguishable group (n = 7) and a similar group (n = 12), using treatment plan verification software that we developed. The quality factor (QF) of our support software for treatment decisions was consistent with the final treatment plan for the clearly distinguishable group (average QF = 1.202, 100% match rate, n = 7) and the similar group (average QF = 1.058, 33% match rate, n = 12). Therefore, we propose a normal tissue complication probability (NTCP) based on the plan scoring index for verification of different plans for personalized treatment-plan selection. Scoring using the new QF showed a 100% match rate (average NTCP QF = 1.0420). The NTCP-based new QF scoring method was adequate for obtaining biological verification quality and organ risk saving using the treatment-planning decision-support software we developed for prostate cancer.

AB - The aim of this study was to derive a new plan-scoring index using normal tissue complication probabilities to verify different plans in the selection of personalized treatment. Plans for 12 patients treated with tomotherapy were used to compare scoring for ranking. Dosimetric and biological indexes were analyzed for the plans for a clearly distinguishable group (n = 7) and a similar group (n = 12), using treatment plan verification software that we developed. The quality factor (QF) of our support software for treatment decisions was consistent with the final treatment plan for the clearly distinguishable group (average QF = 1.202, 100% match rate, n = 7) and the similar group (average QF = 1.058, 33% match rate, n = 12). Therefore, we propose a normal tissue complication probability (NTCP) based on the plan scoring index for verification of different plans for personalized treatment-plan selection. Scoring using the new QF showed a 100% match rate (average NTCP QF = 1.0420). The NTCP-based new QF scoring method was adequate for obtaining biological verification quality and organ risk saving using the treatment-planning decision-support software we developed for prostate cancer.

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A new plan-scoring method using normal tissue complication probability for personalized treatment plan decisions in prostate cancer

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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