Association of irradiation dose and increased incidence of xerostomia inpatients with nasopharyngeal carcinoma

Q1 Health Professions
Radiation Medicine and Protection Pub Date : 2026-04-01 Epub Date: 2026-02-28 DOI:10.1016/j.radmp.2026.02.003
Dongling You , Jie Zhou , Guiquan Zhu , En Long , Peng Xu , Yiming Li , Quan Yao , Jinyi Lang , Shun Lu
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引用次数: 0

Abstract

Objective

To identify risk factors for post-radiation xerostomia and to evaluate the tolerance to doses administered to the parotid gland in patients with nasopharyngeal carcinoma (NPC).

Methods

A total of 462 patients with NPC who received radiotherapy at Nanfang Hospital of Southern Medical University and Sichuan Cancer Hospital from 2012 to 2016 were retrospectively analyzed. Xerostomia was diagnosed according to the Radiation Therapy and Oncology Group (RTOG) grade. Medcalc software and SPSS software were used for statistical analysis, and MATLAB and R software was used for modeling.

Results

The cut-off values for Dmean (the average dose of parotid), Dmean-L (the average dose of left parotid) and D50-R (dose received at 50% volume of right parotid) were 26.00, 28.30 and 23.93 Gy, above which the risk of long-time xerostomia occurs is increased (P < 0.05). D50, D50-L, D50-R, Dmean, Dmean-L and Dmean-R were 28.66, 23.12, 29.04, 28.00, 28.30 and 35.55 Gy, respectively, but the results showed that this dose was not associated with highest xerostomia grade (HXG) (P > 0.05). The relevant factors were independent risk factors for the development of xerostomia, the same was true for age, T stage, and D-PTV (dose of PTV). Using patient's gender, radiation treatment, number of radiotherapy sessions, T stage, TNM stage, Dmean and D50 (dose received at 50% volume of the parotid glands) to established a prediction model to predict HXG and long-term xerostomia grading (LTG), the results indicated that Training showed R = 0.82. The independent risk factors were included to establish the nomogram prediction model. The results showed that the C-index was 0.671.

Conclusion

It is feasible to establish a neural network model or a nomogram prediction model using parotid dose parameters to predict the incidence of radiation-induced xerostomia.
放疗剂量与鼻咽癌患者口干发生率增高的关系
目的探讨鼻咽癌放疗后口干症的危险因素,评价鼻咽癌患者对放疗剂量的耐受性。方法回顾性分析2012 ~ 2016年在南方医科大学南方医院和四川肿瘤医院接受放疗的鼻咽癌患者462例。根据放射治疗和肿瘤组(RTOG)分级诊断口干。采用Medcalc软件和SPSS软件进行统计分析,MATLAB和R软件进行建模。结果Dmean(腮腺平均剂量)、Dmean- l(左侧腮腺平均剂量)和D50-R(右侧腮腺50%体积处接受的剂量)的临界值分别为26.00、28.30和23.93 Gy,高于该临界值发生长期口干的风险增加(P < 0.05)。D50、D50- l、D50- r、Dmean、Dmean- l和Dmean- r分别为28.66、23.12、29.04、28.00、28.30和35.55 Gy,但结果显示该剂量与最高口干分级(HXG)无关(P > 0.05)。相关因素为口干症发生的独立危险因素,年龄、T期、PTV (PTV剂量)也是如此。利用患者性别、放疗方式、放疗次数、T分期、TNM分期、Dmean、D50(腮腺体积50%处接受的剂量)建立预测模型,预测HXG和长期口干分级(LTG),结果显示Training显示R = 0.82。纳入独立危险因素,建立nomogram预测模型。结果表明,c指数为0.671。结论利用腮腺剂量参数建立神经网络模型或nomogram预测模型预测辐射性口干症的发生是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Radiation Medicine and Protection
Radiation Medicine and Protection Health Professions-Emergency Medical Services
CiteScore
2.10
自引率
0.00%
发文量
0
审稿时长
103 days
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