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能谱CT联合肿瘤标志物在诊断肺癌病理分型中的应用价值

苏相茹 李猛 韩妞妞 吴嘉倩 陈亚明

中国中西医结合影像学杂志2025,Vol.23Issue(2):161-167,7.
中国中西医结合影像学杂志2025,Vol.23Issue(2):161-167,7.DOI:10.3969/j.issn.1672-0512.2025.02.006

能谱CT联合肿瘤标志物在诊断肺癌病理分型中的应用价值

Application value of spectral CT and tumor markers in pathological subtyping of lung cancer

苏相茹 1李猛 2韩妞妞 2吴嘉倩 2陈亚明2

作者信息

  • 1. 蚌埠医科大学研究生院,安徽 蚌埠 233000
  • 2. 皖北煤电集团总医院影像科,安徽 宿州 234000
  • 折叠

摘要

Abstract

Objective:To evaluate the diagnostic performance of spectral CT parameters,serum tumor markers,and their combined use in differentiating pathological subtypes of lung cancer.Methods:This retrospective study enrolled 104 patients with lung cancer,and they were categorized into adenocarcinoma(38 cases),squamous cell carcinoma(35 cases),and small cell carcinoma(31 cases)groups.Spectral CT parameters,including normalized iodine concentration(NIC),normalized effective atomic number(nZeff),spectral curve slopes(K1,K2,K3),and tumor markers(NSE,SCC,CYFRA21-1,CEA)were compared.Results:In the arterial phase,no significant differences were observed in NIC or K3(both P>0.05),while nZeff,K1 and K2 showed significant intergroup variations(all P<0.05).During the venous phase,K2 or K3 exhibited no statistical differences(both P>0.05),whereas NIC,nZeff and K1 demonstrated significant differences(all P<0.05).Adenocarcinoma showed elevated CEA levels,small cell carcinoma exhibited higher NSE levels,while squamous cell carcinoma displayed increased SCC and CYFRA21-1 concentrations compared to other subtypes(all P<0.05).The combined model integrating spectral CT parameters with four tumor markers achieved superior diagnostic performance,yielded AUC of 0.981 for adenocarcinoma,0.963 for squamous cell carcinoma,0.969 for small cell carcinoma,outperforming individual parameter analyses.Conclusions:Spectral CT parameters and tumor markers demonstrate complementary value in lung cancer subtyping,with their combination yielding optimal diagnostic accuracy.Integrated clinical application of both modalities is strongly recommended.

关键词

肺肿瘤/肿瘤标记物/病理类型/体层摄影术,X线计算机/能谱成像

Key words

Lung neoplasms/Tumor marker/Pathological type/Tomography,X-ray computed/Spectral imaging

引用本文复制引用

苏相茹,李猛,韩妞妞,吴嘉倩,陈亚明..能谱CT联合肿瘤标志物在诊断肺癌病理分型中的应用价值[J].中国中西医结合影像学杂志,2025,23(2):161-167,7.

基金项目

宿州市卫生健康科研项目(szwj2022a071). (szwj2022a071)

中国中西医结合影像学杂志

1672-0512

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