| 王荣荣,金文奇,彭凡禹,等.局部晚期鼻咽癌调强放疗后区域复发的列线图模型的建立[J].肿瘤学杂志,2023,29(6):495-501. |
| 局部晚期鼻咽癌调强放疗后区域复发的列线图模型的建立 |
| Development of a Nomogram Model for Predicting Regional Recurrence after IMRT for Locally Advanced Nasopharyngeal Carcinoma |
| 投稿时间：2022-12-16 |
| DOI：10.11735/j.issn.1671-170X.2023.06.B008 |
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| 中文关键词: 鼻咽肿瘤 局部晚期 区域复发 列线图 |
| 英文关键词:nasopharyngeal neoplasms local advanced regional recurrence nomogram |
| 基金项目:国家自然科学基金 （81872192）；中华国际医学交流基金会先声科研专项基金（NTC03932266）；江苏省肿瘤科技厅（重点-临床前沿技术）（BE2019756）；南京医科大学“专病队列”研究项目（NMUC2020033） |
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| 中文摘要: |
| 摘 要：［目的］ 建立预测局部晚期鼻咽癌（nasopharyngeal carcinoma，NPC）患者调强放疗后无区域复发生存期的列线图模型。［方法］ 回顾性分析2016年6月至2019年6月在江苏省肿瘤医院行调强放疗后的424例局部晚期NPC患者临床资料，随机分为训练集（n=297）和验证集（n=127）。在训练集中，通过 Cox回归分析，筛选出影响区域复发的独立危险因素。根据危险因素建立列线图模型并进行危险分层，通过C指数和校准曲线评估列线图。［结果］ 年龄（≥60岁）、血小板与淋巴细胞比值、全身免疫炎症指数是影响局部晚期NPC患者调强放疗后区域复发的独立危险因素（P均<0.05）。训练组、验证组的 C 指数分别为0.745（95%CI： 0.726～0.764）、0.845（95%CI： 0.815～0.869）。校准曲线结果显示符合度较好。此外，列线图对不同风险分层的患者有显著的分辨能力。［结论］ 本研究建立的列线图模型可以有效预测调强放疗后局部晚期NPC患者的无区域复发生存期。 |
| 英文摘要: |
| Abstract： ［Objective］ To develop a nomogram model for predicting regional recurrence-free survival in patients with locally advanced nasopharyngeal carcinoma(NPC) after intensity modulated radiotherapy(IMRT). ［Methods］ Clinical data of 424 patients with locally advanced NPC after IMRT at Jiangsu Cancer Hospital from June 2016 to June 2019 were retrospectively analyzed. Patients were randomized into training set(n=297) and validation set(n=127). In the training set， the independent risk factors affecting regional recurrence-free survival were selected by Cox regression analysis. The nomogram model was established based on these factors and risk stratification was performed. Nomograms were assessed by the C index and the calibration curve. ［Results］ The independent prognostic factors of regional recurrence after IMRT in locally advanced NPC patients were age(≥60 years old)， platelet to lymphocyte ratio and systemic immune inflammation index(all P<0.05). The C index of the training and validation sets were 0.745(95%CI： 0.726～0.764) and 0.845(95%CI： 0.815～0.869). The calibration curve results showed a good compliance. In addition， the nomogram was able to significantly discriminate patients with different risk stratification. ［Conclusion］ The nomogram model developed in this study can effectively predict regional recurrence-free survival in patients with locally advanced NPC after IMRT. |
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