基于CT成像的诺米克图用于预测非小细胞肺癌中多叶膜入侵
Jinsong Bai1, Haibo Wang2, Chi Zhang1
1Department of Medical Imaging, Hanzhong People's Hospital Hanzhong 723000, Shaanxi, China.
American journal of translational research
|October 20, 2025
概括
在非小细胞肺癌 (NSCLC) 中,内脏膜入侵 (VPI) 与较差的生存率有关. 手术前的CT扫描功能,如不规则的形态,可以预测VPI,帮助临床决策.
科学领域:
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
- 医疗成像医学成像
背景情况:
- 内脏膜入侵 (VPI) 是影响非小细胞肺癌 (NSCLC) 预后的关键因素.
- 准确的手术前识别VPI对于治疗规划和患者管理至关重要.
研究的目的:
- 为了确定与NSCLC患者的VPI相关的手术前CT扫描特征.
- 开发和验证NSCLC中VPI的预测名录.
主要方法:
- 从282名NSCLC患者的CT扫描进行回顾性分析 (2020年7月至2022年6月).
- 逻辑回归用于识别VPI预测器;名ogram构造.
- 使用ROC曲线,DCA和校准曲线评估诊断性能.
主要成果:
- 显著的VPI预测因素包括中度/差差分化,晚期N/M阶段,较大的瘤大小,膜收缩,粘附性和不规则形态.
- 开发的名图表显示出高的预测准确性 (AUC 0.933培训,0.959验证).
- 与非VPI相比,VPI与显著较低的3年生存率相关.
结论:
- 术前CT特征对于预测NSCLC中的VPI非常有价值.
- 开发的诺姆图可以帮助临床决策,并有可能改善患者的治疗结果.
- 在NSCLC中,VPI是显著的预后指标,与更差的存活率有关.
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