预测III期胃癌或胃食管结癌D2/R0切除和放化疗后患者总生存率的Nomogram

Q1 Health Professions Radiation Medicine and Protection Pub Date : 2023-09-01 DOI:10.1016/j.radmp.2023.07.002
Jinming Shi , Wenzhe Kang , Songlin Gao , Wenyang Liu , Yuan Tang , Ning Li , Qiang Zeng , Huiying Ma , Haoyue Li , Yantao Tian , Jing Jin
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引用次数: 0

摘要

目的探讨影响III期胃癌(GC)和胃食管结(GEJ)癌D2/R0切除和辅助放化疗(CRT)后总生存期(OS)的独立因素,建立并验证预测该患者群体OS的nomogram模型。方法回顾性分析2013年1月至2018年5月在我中心行D2/R0切除术和辅助CRT的III期GC或GEJ癌患者569例。患者按3:1的比例随机分为训练组和验证组。在培训队列中,进行单因素和多因素分析,找出与OS相关的临床因素,并在独立因素的基础上建立nomogram模型。采用一致性指数(C-index)和校准曲线来验证nomogram预测能力。结果培训组和验证组分别有427例和142例患者入组。在单因素和多因素分析中,年龄、Lauren分型、TNM分期和辅助CRT的使用是OS构建nomogram的独立因素。训练组和验证组的c指数分别为0.654和0.613。标定曲线与实际OS一致。基于nomogram模型的风险分层显示两组OS的风险分层良好。结论我们的研究将辅助CRT作为预测因素,并建立了预测D2/R0切除和辅助治疗后III期GC或GEJ患者OS的nomogram模型。在临床实践中,该nomogram可以促进对OS的更个性化的预测。
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Nomogram for predicting the overall survival of patients after D2/R0 resection and chemoradiotherapy for stage III gastric cancer or gastroesophageal junction cancer

Objective

To explore the independent factors associated with the overall survival (OS) after D2/R0 resection and adjuvant chemoradiotherapy(CRT) for stage III gastric cancer (GC) and gastroesophageal junction (GEJ) cancer, and establish and validate a nomogram model to predict the OS in this patient population.

Methods

A total of 569 stage III GC or GEJ cancer patients who underwent D2/R0 resection and adjuvant CRT at our center from January 2013 to May 2018 were retrospectively enrolled in this study. The patients were randomly divided into training and validation cohorts in a 3:1 ratio. In the training cohort, univariate and multivariate analysis were conducted to identify clinical factors associated with OS, and a nomogram model was established on the basis of the independent factors. The concordance index (C-index) and the calibration curve were used to validate the prediction power of the nomogram.

Results

Overall, 427 and 142 patients were enrolled in the training and validation cohorts, respectively. In the univariate and multivariate analyses, age, Lauren's classification, TNM stage, and administration of adjuvant CRT were independent factors for OS to construct the nomogram. The C-index values were 0.654 and 0.613 in the training and validation cohorts, respectively. The calibration curves were identical to the actual OS. Risk stratification based on the nomogram model showed good risk stratification for OS in both groups.

Conclusion

Our study included adjuvant CRT as a predictive factor and established a nomogram model for predicting the OS in patients with stage III GC or GEJ after D2/R0 resection and adjuvant therapy. This nomogram could facilitate more individualized prediction of OS in clinical practice.

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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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