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 journalArticlepeer-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 languageEnglish
Pages (from-to)306-311
Number of pages6
JournalJournal of the Korean Physical Society
Volume72
Issue number2
DOIs
Publication statusPublished - 2018 Jan 1

Keywords

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

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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