Zhou Ling, Chen Jia, Tao Chang-Juan, Zhao Qing-Feng, Chen Yu-Ming, Chen Xiao-Zhong, Chen Ming, Yu Zhong-Hua, Chen Yuan-Yuan
Department of Radiation Oncology, Dongguan People's Hospital, Dongguan, China.
Research Center for Healthcare Data Science, Zhejiang Lab, Hangzhou, China.
J Oncol. 2022 Feb 1;2022:5693575. doi: 10.1155/2022/5693575. eCollection 2022.
It is controversial and unclear how -stage would increase the risk of incidence of hypothyroidism (HT) for patients with nasopharyngeal carcinoma (NPC) after radiotherapy. Our study aimed to explore the correlation between cervical lymph node metastasis and the incidence of HT in NPC.
A total of 206 patients with NPC treated at the Cancer Hospital of University of Chinese Academy of Sciences, and their clinical information were retrospectively collected. A series of univariate logistic regression models were performed to explore the association of clinical and lymph node indices with the development of HT. Significant features in univariate analysis were then used to construct three prediction models, for HT prediction using multivariate logistic regression based on Bayesian information criterion. Prediction performance of those models was measured by area under the receiver operating characteristic curve (AUC) using 10-fold cross-validation.
A total of 111 patients developed HT, and the incidence of HT in and patients was 58.82% and 44.29%, respectively. Compared to Model 1 (consisted of pretreatment TSH concentration, thyroid volume, and -stage) whose AUCs were 0.801 and 0.766 in training and validation sets, with -stage be replaced by shortest distance from thyroid, Model 2 achieved more stable AUCs of 0.824 and 0.801. While with numbers of positive lymph nodes in Level IIb additionally added, Model 3 improved its AUCs to 0.841 and 0.813.
The shortest distance between the lymph nodes and thyroid gland and the number of lymph nodes in IIb are better predictors of radiation-induced HT than the -stage.
鼻咽癌(NPC)患者放疗后分期如何增加甲状腺功能减退症(HT)的发病风险存在争议且尚不明确。我们的研究旨在探讨NPC患者颈部淋巴结转移与HT发病之间的相关性。
回顾性收集了中国科学院大学肿瘤医院收治的206例NPC患者及其临床信息。进行了一系列单因素逻辑回归模型分析,以探讨临床和淋巴结指标与HT发生发展的关联。然后,将单因素分析中的显著特征用于构建三个预测模型,基于贝叶斯信息准则,使用多因素逻辑回归进行HT预测。使用10折交叉验证,通过受试者工作特征曲线下面积(AUC)来衡量这些模型的预测性能。
共有111例患者发生HT,I期和II期患者的HT发病率分别为58.82%和44.29%。与模型1(由治疗前促甲状腺激素浓度、甲状腺体积和分期组成)相比,模型1在训练集和验证集中的AUC分别为0.801和0.766,将分期替换为甲状腺最短距离后,模型2的AUC更稳定,分别为0.824和0.801。而在模型2的基础上额外增加IIb区阳性淋巴结数量后,模型3的AUC提高到0.841和0.813。
与分期相比,淋巴结与甲状腺之间的最短距离以及IIb区淋巴结数量是放射性HT更好的预测指标。