基于CT的放射学模型用于预测肺癌在空气空间中的传播:系统性审查和元分析
Lihua Chen1, Xiaosong Lan2, Yao Huang2
1Department of Radiology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, China.
European journal of radiology
|June 20, 2025
概括
基于CT的放射学在预测肺癌在手术前通过空气空间 (STAS) 传播的准确度中等. 这种具有成本效益的方法为手术规划提供了有价值的工具,尽管建议进行进一步的前性研究.
科学领域:
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
- 医学成像分析 医学成像分析
背景情况:
- 通过空气空间传播 (STAS) 是肺癌进展的关键因素.
- 准确的手术前预测STAS对于有效的治疗计划至关重要.
- 使用计算机断层扫描 (CT) 进行STAS预测的现有模型显示了不一致的结果.
研究的目的:
- 估计基于CT的放射学的诊断准确性,用于预测肺癌中的STAS.
- 为了比较放射学模型与临床模型在STAS预测中的有效性.
主要方法:
- 对2024年1月之前发表的研究进行了系统的文献搜索.
- 包括的研究使用基于CT的放射学来预测肺癌中手术前的STAS.
- 进行了元分析,以计算聚合灵敏度,特异性和AUC,与临床模型进行对比.
主要成果:
- 纳入了17项涉及6254名参与者的研究,其方法质量中等.
- 基于CT的放射学在预测STAS的聚合灵敏度为0.82,特异性为0.76,AUC为0.86.
- 放射学模型与临床模型相比,表现优越,AUC (0.86比0.80) 更高.
结论:
- 基于CT的放射学在肺癌的手术前STAS预测中表现出中度的诊断准确性.
- 它的广泛可用性和低成本使其成为临床应用的实用工具.
- 需要进一步的大规模,多中心,前性研究来验证这些发现.
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