Developing a multivariable normal tissue complication probability model to predict late rectal bleeding following intensity-modulated radiation therapy

Chun-Chieh Huang, Pei-Ju Chao, Shih-Sian Guo, Chong-Jong Wang, Hao-Lun Luo, Yu-Li Su, Tsair-Fwu Lee, Fu-Min Fang

研究成果: 期刊稿件文章同行評審

8 引文 斯高帕斯(Scopus)

摘要

Purpose: To develop a multivariable normal tissue complication probability (NTCP) model to predict moderate to severe late rectal bleeding following intensity-modulated radiation therapy (IMRT). Methods and materials: Sixty-eight patients with localized prostate cancer treated by IMRT from 2008 to 2011 were enrolled. The median follow-up time was 56 months. According to the criteria of D'Amico risk classifications, there were 9, 20 and 39 patients in low, intermediate and high-risk groups, respectively. Forty-two patients were combined with androgen deprivation therapy. Fifteen patients had suffered from grade 2 or more (grade 2+) late rectal bleeding. The numbers of predictors for a multivariable logistic regression NTCP model were determined by the least absolute shrinkage and selection operator (LASSO). Results: The most important predictors for late rectal bleeding ranked by LASSO were platelet count, risk group and the relative volume of rectum receiving at least 65 Gy (V-65). The NTCP model of grade 2+ rectal bleeding was as follows: S = -17.49 + Platelets (1000/mu L) * (-0.025) + Risk group * Corresponding coefficient (low-risk group = 0; intermediate-risk group = 19.07; high-risk group = 20.41) + V-65 * 0.045. Conclusions: A LASSO-based multivariable NTCP model comprising three important predictors (platelet count, risk group and V-65) was established to predict the incidence of grade 2+ late rectal bleeding after IMRT.
原文美式英語
頁(從 - 到)2588-2593
期刊Journal of Cancer
10
發行號11
DOIs
出版狀態已出版 - 2019

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