Ehler Eric D, Hutchinson Grace H, Yuan Jianling, Dusenbery Kathryn E
University of Minnesota Department of Radiation Oncology, Minneapolis, MN 55455, USA.
Clin Transl Radiat Oncol. 2025 May 22;53:100984. doi: 10.1016/j.ctro.2025.100984. eCollection 2025 Jul.
PURPOSE/OBJECTIVES: Late renal toxicity can be impactful for stem cell transplant (SCT) patients with total body irradiation (TBI) as part of the conditioning regimen. This work describes a two component repair model to predict renal toxicity among pediatric patients.
MATERIALS/METHODS: Systematic literature searches described in two other reports were used to identify articles describing late renal toxicity in children treated with TBI as part of SCT. Six studies were included with a combined sample size of 172 patients. Data pertaining to TBI and renal toxicity endpoints were extracted. Probability of renal toxicity was analyzed in relation to TBI dose, fractionation, and dose rate. A logistic regression model was developed using studies with sufficient TBI and pediatric outcome data. The toxicity was calculated from reported rates from each study and were primarily based on abnormal laboratory values.
Physical dose and a traditional method of calculating EQD2 were tested for a significant dose response relationship although none were found. Instead, a statistically significant relationship was found with a two component sublethal repair EQD2 calculation model using logistic regression (p = 0.03). The model predicted the odds ratio for renal toxicity to be 2.9 Gy. Predicted probabilities of 5 %, 10 %, and 50 % clinically significant renal toxicities are associated with EQD2 values of 10.4, 11.1, and 13.2 Gy, respectively.
A model to predict the risk of renal toxicity was determined. This model indicates that dose rate and the time interval between fractions are important factors in renal toxicity for pediatric patients receiving SCT with TBI as part of the conditioning regimen.
目的/目标:对于接受全身照射(TBI)作为预处理方案一部分的干细胞移植(SCT)患者,晚期肾毒性可能具有重大影响。本研究描述了一种双组分修复模型,用于预测儿科患者的肾毒性。
材料/方法:利用另外两篇报告中描述的系统文献检索方法,来识别描述接受TBI作为SCT一部分治疗的儿童晚期肾毒性的文章。纳入了6项研究,合并样本量为172例患者。提取了与TBI和肾毒性终点相关的数据。分析了肾毒性概率与TBI剂量、分割方式和剂量率的关系。使用具有足够TBI和儿科结局数据的研究建立了逻辑回归模型。毒性根据每项研究报告的发生率计算,主要基于实验室异常值。
对物理剂量和传统的等效剂量2(EQD2)计算方法进行了显著剂量反应关系测试,但未发现显著关系。相反,使用逻辑回归的双组分亚致死修复EQD2计算模型发现了具有统计学意义的关系(p = 0.03)。该模型预测肾毒性的比值比为2.9 Gy。临床显著肾毒性的预测概率分别为5%、10%和50%,对应的EQD2值分别为10.4、11.1和13.2 Gy。
确定了一种预测肾毒性风险的模型。该模型表明,剂量率和分次之间的时间间隔是接受以TBI作为预处理方案一部分的SCT的儿科患者肾毒性的重要因素。