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

被引：0
|
作者：
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
机构：
[1] Graduate School of Korea University,Department of Bio
[2] Korea University,medical Science
[3] Tianjin Medical University Cancer Institute and Hospital,Department of Radiation Oncology, College of Medicine
[4] Korea University,Department of Radiation Oncology
来源：
Journal of the Korean Physical Society | 2018年 / 72卷
关键词：
Normal tissue complication probability; Quality factor; Dosimetric index; Biological index; Treatment planning decision support system;
D O I：
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中图分类号：
学科分类号：
摘要：
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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页码：306 / 311
页数：5
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