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中华肺部疾病杂志(电子版) ›› 2023, Vol. 16 ›› Issue (01) : 58 -60. doi: 10.3877/cma.j.issn.1674-6902.2023.01.013

临床研究

CT影像学征象对局灶性肺炎型肺癌与肺部炎性病变的鉴别意义
徐冰1,(), 程明斌1, 赵国华1   
  1. 1. 101300 北京,北京市顺义区医院放射科
  • 收稿日期:2022-10-23 出版日期:2023-02-25
  • 通信作者: 徐冰

Significance of CT imaging findings in differentiating focal pneumonic lung cancer from pulmonary inflammatory lesions

Bing Xu1(), Mingbin Cheng1, Guohua Zhao1   

  • Received:2022-10-23 Published:2023-02-25
  • Corresponding author: Bing Xu
引用本文:

徐冰, 程明斌, 赵国华. CT影像学征象对局灶性肺炎型肺癌与肺部炎性病变的鉴别意义[J]. 中华肺部疾病杂志(电子版), 2023, 16(01): 58-60.

Bing Xu, Mingbin Cheng, Guohua Zhao. Significance of CT imaging findings in differentiating focal pneumonic lung cancer from pulmonary inflammatory lesions[J]. Chinese Journal of Lung Diseases(Electronic Edition), 2023, 16(01): 58-60.

目的

分析CT影像学征象联合模型对局灶性肺炎型肺癌(focal pneumonic lung cancer, FPLC)和局灶性肺部炎性病变(focal pulmonary inflammatory Lesions, FPIL)鉴别诊断意义。

方法

选择2021年6月至2022年6月我院收治的FPLC患者39例为观察组,FPIL患者25例为对照组。比较两组临床特征和CT征象,构建临床联合CT影像特征模型,采用受试者特征曲线(ROC)分析模型对FPLC和FPIL的鉴别诊断。

结果

观察组较对照组年龄,有吸烟史(51.28% vs. 44.00%)和无呼吸系统症状(33.33% vs. 20.00%)显著(P<0.05);观察组较对照组病灶小(40.28±16.39 mm vs. 45.39±17.72 mm),多见空气支气管征(30.77% vs. 16.00%)(P<0.05);对照组较观察组多见坏死(48.00% vs. 10.26%)和胸膜粘连(72.00% vs. 41.05%)(P<0.01)。综合模型显示年龄[OR(95%CI): 4.37(2.19~9.14)]、呼吸系统症状[OR(95%CI): 1.87 (1.12~2.44)]、空气支气管征[OR(95%CI): 2.93 (1.82~4.44)]、坏死[OR(95%CI): 5.79(2.69~14.83)]和胸膜粘连[OR(95%CI): 8.42 (3.31~17.94)]是区分FPIL和FPLC的预测因素(P<0.05)。模型AUC 0.856(95%CI:0.765~0.946),灵敏度81.5%,特异度85.3%。

结论

综合模型结合临床特征和CT影像特征,鉴别局灶性肺炎样肺癌和局灶性肺部炎症病变,具有临床意义。

表1 两组患者临床特征对比[n(%)]
表2 两组患者CT征象比较[n(%)]
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