Huang Chun-Chieh, Chao Pei-Ju, Guo Shih-Sian, Wang Chong-Jong, Luo Hao-Lun, Su Yu-Li, Lee Tsair-Fwu, Fang Fu-Min
Department of Radiation Oncology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Graduate Institute of Clinical Medical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.
J Cancer. 2019 Jun 2;10(11):2588-2593. doi: 10.7150/jca.29606. eCollection 2019.
: To develop a multivariable normal tissue complication probability (NTCP) model to predict moderate to severe late rectal bleeding following intensity-modulated radiation therapy (IMRT). : 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). : 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). The NTCP model of grade 2+ rectal bleeding was as follows: S = -17.49 + Platelets (1000/μL) * (-0.025) + Risk group * Corresponding coefficient (low-risk group = 0; intermediate-risk group = 19.07; high-risk group = 20.41) + V * 0.045. : A LASSO-based multivariable NTCP model comprising three important predictors (platelet count, risk group and V) was established to predict the incidence of grade 2+ late rectal bleeding after IMRT.
建立多变量正常组织并发症概率(NTCP)模型,以预测调强放射治疗(IMRT)后中重度晚期直肠出血。
纳入2008年至2011年接受IMRT治疗的68例局限性前列腺癌患者。中位随访时间为56个月。根据达米科风险分类标准,低、中、高风险组分别有9例、20例和39例患者。42例患者接受了雄激素剥夺治疗。15例患者发生2级或以上(2级+)晚期直肠出血。通过最小绝对收缩和选择算子(LASSO)确定多变量逻辑回归NTCP模型的预测因子数量。
LASSO排序的晚期直肠出血最重要预测因子为血小板计数、风险组和接受至少65 Gy(V)的直肠相对体积。2级+直肠出血的NTCP模型如下:S = -17.49 + 血小板(1000/μL)*(-0.025)+ 风险组 * 相应系数(低风险组 = 0;中风险组 = 19.07;高风险组 = 20.41)+ V * 0.045。
建立了一个基于LASSO的包含三个重要预测因子(血小板计数、风险组和V)的多变量NTCP模型,以预测IMRT后2级+晚期直肠出血的发生率。