A New Plan-Scoring Method Using Normal Tissue Complication Probability for Personalized Treatment Plan Decisions in Prostate Cancer
- Authors
- Kim, Kwang Hyeon; Lee, Suk; Shim, Jang Bo; Yang, Dae Sik; Yoon, Won Sup; Park, Young Je; Kim, Chul Yong; Cao, Yuan Jie; Chang, Kyung Hwan
- Issue Date
- 1월-2018
- Publisher
- KOREAN PHYSICAL SOC
- Keywords
- Normal tissue complication probability; Quality factor; Dosimetric index; Biological index; Treatment planning decision support system
- Citation
- JOURNAL OF THE KOREAN PHYSICAL SOCIETY, v.72, no.2, pp.306 - 311
- Indexed
- SCIE
SCOPUS
KCI
- Journal Title
- JOURNAL OF THE KOREAN PHYSICAL SOCIETY
- Volume
- 72
- Number
- 2
- Start Page
- 306
- End Page
- 311
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/78526
- DOI
- 10.3938/jkps.72.306
- ISSN
- 0374-4884
- 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.
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Collections - Graduate School > Department of Biomedical Sciences > 1. Journal Articles
- College of Medicine > Department of Medical Science > 1. Journal Articles
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