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拟合前列腺癌术后放疗后膀胱剂量和急性尿路症状的 NTCP 模型。

Fitting NTCP models to bladder doses and acute urinary symptoms during post-prostatectomy radiotherapy.

机构信息

Department of Radiation Oncology, University of North Carolina, 101 Manning Dr, Chapel Hill, NC, 27599-7512, USA.

出版信息

Radiat Oncol. 2018 Feb 2;13(1):17. doi: 10.1186/s13014-018-0961-x.

Abstract

BACKGROUND

To estimate the radiobiological parameters of three popular normal tissue complication probability (NTCP) models, which describe the dose-response relations of bladder regarding different acute urinary symptoms during post-prostatectomy radiotherapy (RT). To evaluate the goodness-of-fit and the correlation of those models with those symptoms.

METHODS

Ninety-three consecutive patients treated from 2010 to 2015 with post-prostatectomy image-guided intensity modulated radiotherapy (IMRT) were included in this study. Patient-reported urinary symptoms were collected pre-RT and weekly during treatment using the validated Prostate Cancer Symptom Indices (PCSI). The assessed symptoms were flow, dysuria, urgency, incontinence, frequency and nocturia using a Likert scale of 1 to 4 or 5. For this analysis, an increase by ≥2 levels in a symptom at any time during treatment compared to baseline was considered clinically significant. The dose volume histograms of the bladder were calculated. The Lyman-Kutcher-Burman (LKB), Relative Seriality (RS) and Logit NTCP models were used to fit the clinical data. The fitting of the different models was assessed through the area under the receiver operating characteristic curve (AUC), Akaike information criterion (AIC) and Odds Ratio methods.

RESULTS

For the symptoms of urinary urgency, leakage, frequency and nocturia, the derived LKB model parameters were: 1) D = 64.2Gy, m = 0.50, n = 1.0; 2) D = 95.0Gy, m = 0.45, n = 0.50; 3) D = 83.1Gy, m = 0.56, n = 1.00; and 4) D = 85.4Gy, m = 0.60, n = 1.00, respectively. The AUC values for those symptoms were 0.66, 0.58, 0.64 and 0.64, respectively. The differences in AIC between the different models were less than 2 and ranged within 0.1 and 1.3.

CONCLUSIONS

Different dose metrics were correlated with the symptoms of urgency, incontinence, frequency and nocturia. The symptoms of urinary flow and dysuria were poorly associated with dose. The values of the parameters of three NTCP models were determined for bladder regarding four acute urinary symptoms. All the models could fit the clinical data equally well. The NTCP predictions of urgency showed the best correlation with the patient reported outcomes.

摘要

背景

评估三种常用的正常组织并发症概率(NTCP)模型的放射生物学参数,这些模型描述了前列腺癌术后调强放疗(RT)后不同急性尿症状下的膀胱剂量反应关系。评估这些模型与这些症状之间的拟合优度和相关性。

方法

本研究纳入了 2010 年至 2015 年期间接受前列腺癌术后图像引导调强放疗(IMRT)的 93 例连续患者。在 RT 前和治疗期间每周使用经过验证的前列腺癌症状指数(PCSI)收集患者报告的尿症状。使用 1 到 4 或 5 的李克特量表评估的症状包括流量、排尿困难、尿急、失禁、频率和夜尿。在这项分析中,与基线相比,治疗过程中任何时间的症状增加≥2 个等级被认为具有临床意义。计算膀胱的剂量体积直方图。使用 Lyman-Kutcher-Burman(LKB)、相对序列性(RS)和 Logit NTCP 模型来拟合临床数据。通过接收者操作特征曲线(ROC)下面积(AUC)、赤池信息量准则(AIC)和优势比方法评估不同模型的拟合情况。

结果

对于尿急、漏尿、尿频和夜尿症状,得出的 LKB 模型参数为:1)D=64.2Gy,m=0.50,n=1.0;2)D=95.0Gy,m=0.45,n=0.50;3)D=83.1Gy,m=0.56,n=1.00;和 4)D=85.4Gy,m=0.60,n=1.00。这些症状的 AUC 值分别为 0.66、0.58、0.64 和 0.64。不同模型之间的 AIC 差异小于 2,范围在 0.1 到 1.3 之间。

结论

不同的剂量指标与尿急、失禁、尿频和夜尿症状相关。尿流和排尿困难症状与剂量相关性较差。确定了三种 NTCP 模型的参数值,用于膀胱的四种急性尿症状。所有模型都能很好地拟合临床数据。尿急的 NTCP 预测与患者报告的结果相关性最好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed23/5797360/cae72089287d/13014_2018_961_Fig1_HTML.jpg

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