[1]胡文俊,王尚虎,姜琦,等.食管狭窄与食管癌放化疗远期预后的关联及预测模型构建[J].中国医学物理学杂志,2026,43(7):852-856.[doi:DOI:10.3969/j.issn.1005-202X.2026.07.003]
 HU Wenjun,WANG Shanghu,JIANG Qi,et al.Association between esophageal stenosis and long-term prognosis of esophageal cancer after chemoradiotherapy and construction of a prediction model[J].Chinese Journal of Medical Physics,2026,43(7):852-856.[doi:DOI:10.3969/j.issn.1005-202X.2026.07.003]
点击复制

食管狭窄与食管癌放化疗远期预后的关联及预测模型构建()

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
43卷
期数:
2026年第7期
页码:
852-856
栏目:
医学放射物理
出版日期:
2026-07-22

文章信息/Info

Title:
Association between esophageal stenosis and long-term prognosis of esophageal cancer after chemoradiotherapy and construction of a prediction model
文章编号:
1005-202X(2026)07-0852-05
作者:
胡文俊王尚虎姜琦赵昕闵旭红
安徽省胸科医院肿瘤放疗科, 安徽 合肥 230022
Author(s):
HU Wenjun WANG Shanghu JIANG Qi ZHAO Xin MIN Xuhong
Department of Radiation Oncology, Anhui Chest Hospital, Hefei 230022, China
关键词:
食管狭窄食管癌放化疗远期预后预测模型
Keywords:
Keywords: esophageal stenosis esophageal cancer chemoradiotherapy long-term prognosis prediction model
分类号:
R318;R735.1
DOI:
DOI:10.3969/j.issn.1005-202X.2026.07.003
文献标志码:
A
摘要:
目的:探讨食管狭窄与食管癌放化疗远期预后的关联,并构建食管癌放化疗后食管狭窄的预测模型。方法:选取2021年1月~2025年1月于安徽省胸科医院肿瘤放疗科进行放化疗治疗的100例食管癌患者为研究对象,根据放化疗后是否发生食管狭窄将患者分成狭窄组、未狭窄组。对所有患者进行1年随访,采用Kaplan-Meier法计算对比两组的总生存率(OS)和无进展生存率(PFS)。收集两组患者的临床资料,单因素、多因素Logistic回归分析食管癌患者放化疗后食管狭窄的影响因素,并利用R软件构建食管癌放化疗后食管狭窄的预测模型。结果:100例食管癌患者中27例放化疗后发生食管狭窄,发生率为27.00%。Kaplan-Meier法结果显示,狭窄组的OS、PFS均低于未狭窄组(P<0.05)。单因素结果显示,狭窄组、未狭窄组的组织浸润深度、临床分期、T分期、肿瘤侵犯食管全周的比例(周在性)、固有肌层受损、病变长度、病变范围、放疗剂量对比,差异有统计学意义(P<0.05)。多因素Logistic回归分析显示,组织浸润深度、T分期、周在性、固有肌层受损、病变长度、放疗剂量等均是食管癌患者放化疗后食管狭窄的独立影响因素(P<0.05)。基于Logistic回归分析建立预测模型,模型验证结果显示,该列线图模型的一致性指数为0.853(95% CI:0.820~0.915)。结论:食管狭窄与食管癌放化疗的远期预后密切相关,多种因素与食管癌放化疗后食管狭窄有关,构建预测模型对食管癌放化疗后食管狭窄具有良好的预测价值。
Abstract:
Abstract: Objective To investigate the association between esophageal stenosis and long-term prognosis of esophageal cancer after chemoradiotherapy, and to construct a prediction model for post-chemoradiotherapy esophageal stenosis. Methods A total of 100 esophageal cancer patients who underwent chemoradiotherapy at the Department of Radiation Oncology, Anhui Chest Hospital between January 2021 and January 2025 were selected as the study subjects, and they were divided into a stenosis group and a non-stenosis group based on the occurrence of post-chemoradiotherapy esophageal stenosis. All patients were followed up for 1 year, and Kaplan-Meier analysis was used to compare overall survival (OS) and progression-free survival (PFS) between the two groups. Clinical data of the two groups were collected. The influencing factors of post-chemoradiotherapy esophageal stenosis in esophageal cancer patients were identified using univariate and multivariate Logistic regression analyses, and a prediction model of post-chemoradiotherapy esophageal stenosis was constructed using R software. Results Esophageal stenosis occurred in 27 of 100 patients with esophageal cancer after chemoradiotherapy, with an incidence rate of 27.00%. The results of the Kaplan-Meier method showed that OS and PFS were lower in the stenosis group than in the non-stenosis group (P<0.05). Univariate analysis revealed statistically significant differences in the depth of tissue infiltration, clinical stage, T stage, circumferential involvement, intrinsic muscle layer damage, lesion length, lesion extent, and radiotherapy dose between the stenosis group and the non-stenosis group (P<0.05). Multivariate Logistic regression analysis identified the depth of tissue infiltration, T stage, circumferential involvement, intrinsic muscular layer damage, lesion length, and radiotherapy dose were independent influencing factors of esophageal stenosis after radiotherapy in patients with esophageal cancer (P<0.05). A prediction model was established based on Logistic regression analyses, and the model validation results showed that the established nomogram model achieved a consistency index of 0.853 (95% CI: 0.820-0.915). Conclusion Esophageal stenosis is closely related to the long-term prognosis of chemoradiotherapy for esophageal cancer, and a variety of factors are associated with post-chemoradiotherapy esophageal stenosis. The constructed prediction model exhibits flavorable predictive performance for esophageal stenosis after chemoradiotherapy in esophageal cancer patients.

相似文献/References:

[1]杨一威,商海焦,单国平,等.两种不同优化算法在胸部肿瘤调强放射治疗计划中的对比研究[J].中国医学物理学杂志,2015,32(02):276.[doi:10.3969/j.issn.1005-202X.2015.02.030]
[2]曾 彪,张九堂,席许平,等.单中心上下半野技术在胸中上段食管癌放射治疗中的剂量学分布[J].中国医学物理学杂志,2015,32(03):357.[doi:10.3969/j.issn.1005-202X.2015.03.012]
[3]陈恩乐,吴 魁,董 事,等.改变多叶准直器角度对调强放疗计划效率的影响[J].中国医学物理学杂志,2015,32(03):437.[doi:10.3969/j.issn.1005-202X.2015.03.030]
[4]宋 威,赵 迪,鹿 红,等.射野方向优化技术在胸中上段食管癌调强放疗中的应用[J].中国医学物理学杂志,2014,31(05):5109.[doi:10.3969/j.issn.1005-202X.2014.05.003]
[5]苏善宁,曾自力.中下段食管癌三维适形放疗不同照射方法对剂量分布的影响[J].中国医学物理学杂志,2014,31(06):5249.[doi:10.3969/j.issn.1005-202X.2014.06.006]
[6]陈杨生.食管癌放射治疗胸部组织校正与否对剂量学影响的研究[J].中国医学物理学杂志,2013,30(05):4360.[doi:10.3969/j.issn.1005-202X.2013.05.005]
[7]刘苓苓,费振乐,李兵兵,等.个性化选择食管癌放疗技术[J].中国医学物理学杂志,2016,33(3):243.[doi:1005-202X(2016)03-0243-05]
 [J].Chinese Journal of Medical Physics,2016,33(7):243.[doi:1005-202X(2016)03-0243-05]
[8]邵凯南,杜锋磊,李剑龙.RayArc在胸部旋转调强放射治疗计划设计中的应用[J].中国医学物理学杂志,2017,34(2):131.[doi:10.3969/j.issn.1005-202X.2017.02.005]
 Application of RayArc in volumetric modulated arc therapy planning of chest cancer[J].Chinese Journal of Medical Physics,2017,34(7):131.[doi:10.3969/j.issn.1005-202X.2017.02.005]
[9]王庆章,段天宇,刘建超,等.Monaco与Pinnacle治疗计划系统在食管癌放疗剂量验证上的比较[J].中国医学物理学杂志,2017,34(2):166.[doi:10.3969/j.issn.1005-202X.2017.02.011]
 Comparison of Monaco and Pinnacle treatment planning systems on the dosimetric verification of radiotherapy for esophageal cancer[J].Chinese Journal of Medical Physics,2017,34(7):166.[doi:10.3969/j.issn.1005-202X.2017.02.011]
[10]谢力,李贤富,郭飞,等. 三维适形放疗和常规放疗治疗食管癌的剂量学和治疗学差异分析[J].中国医学物理学杂志,2017,34(6):585.[doi:DOI:10.3969/j.issn.1005-202X.2017.06.009]
 [J].Chinese Journal of Medical Physics,2017,34(7):585.[doi:DOI:10.3969/j.issn.1005-202X.2017.06.009]

备注/Memo

备注/Memo:
【收稿日期】2026-04-21 【基金项目】安徽省卫生健康科研项目(AHWJ2023A20456) 【作者简介】胡文俊,研究方向:肿瘤放射治疗,E-mail: 18756063646@163.com 【通信作者】闵旭红,研究方向:肿瘤综合治疗,E-mail: ahch_minxuhong@163.com
更新日期/Last Update: 2026-07-22