基于临床特征和病理参数,构建和验证用于预测非小细胞肺癌患者化疗预后的诺姆图:一项观察性研究
Sanhu Yang1, Yongshi Liu, Yan Li
1Department of Thoracic Surgery, The Second Affiliated Hospital of Air Force Medical University, Xi'an, China.
Medicine
|February 24, 2026
概括
一个名图模型准确地预测了非小细胞肺癌 (NSCLC) 患者的化疗预后. 该工具使用临床和病理学数据来帮助临床医生个性化治疗和评估NSCLC的结果.
科学领域:
- 在瘤学瘤学.
- 医学统计 医学统计
背景情况:
- 非小细胞肺癌 (NSCLC) 是癌症相关死亡的主要原因.
- 精确预测化疗预后对于有效的患者管理和治疗规划至关重要.
研究的目的:
- 开发和验证一个诺米克风险预测模型,用于NSCLC患者的化疗预后.
- 评估诺莫格拉姆模型在预测患者结果方面的临床实用性.
主要方法:
- 一组NSCLC患者被分为训练 (n=168) 和验证 (n=72) 组.
- 使用多变量逻辑回归来识别风险因素并构建名ogram.
- 用ROC曲线,校准曲线和Hosmer-Lemeshow测试来评估模型性能.
主要成果:
- 年龄,咳,血,呼吸障碍,瘤直径,组织学亚型和瘤与血管接触区域被确定为不良预后的独立风险因素.
- 诺米图表显示出极好的预测准确性,C指数为0.923 (训练) 和0.947 (验证).
- 该模型显示了良好的校准和适配,AUC为0.918和0.946,用于预测各自组的不良预后.
结论:
- 开发的诺莫格拉姆模型准确地预测了NSCLC患者的化疗预后.
- 该工具为临床医生制定个性化治疗策略和评估患者预后提供了宝贵的参考.
- 在训练和验证套件中,Nomogram在训练和验证套件中的强大性能支持其临床应用.
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