数字X线胸片对肺癌检查的漏诊分析

Analysis of missed diagnosis of lung cancer on chest X-ray radiography

  • 摘要: 目的 探讨X线胸片在肺癌检查方面的局限性。 方法 连续收集解放军总医院2014年6-12月术后病理为肺癌且术前做过胸部数字X线平片和胸部CT的病人共460例(467例次病变),根据X线片的诊断结果分为未发现病变组和发现病变组。根据手术和CT结果,对X线片未发现病变组和发现病变组的病变大小、密度、位置、影像分型、病理分型、阻塞性改变进行漏诊相关危险因素分析。 结果 467例次病变中,总X线胸片漏诊率为25.9%。其中< 10 mm病变漏诊率达到100%,10~20 mm病变漏诊率达到31.1%,但> 20 mm病变漏诊率仅为4.7%。单因素分析显示,病变大小、密度、影像分型、病理分型及是否发生阻塞性改变可能是胸片漏诊的影响因素。多元回归分析结果显示,病变大小、密度和影像分型是造成胸片漏诊的独立危险因素(P< 0.05)。 结论 病变的大小、密度和影像分型是造成X线胸片漏诊肺癌的独立危险因素,不建议使用X线胸片进行早期肺癌筛查,选择低剂量CT更合适。

     

    Abstract: Objective To investigate the factors of missed diagnosis of lung cancer on chest X-ray radiography (CXR). Methods A total of 460 patients with lung cancer (467 lesions) which confirmed by surgical pathology were consecutively collected from June to December 2014. All patients had CXR and CT examination before operation. Patients were categorized into two groups: lung cancer negative group and positive group. Lesion size, density, location, imaging classification, pathological type, obstructive change were compared between two groups. Then multivariate regression analysis was performed to detect the independent risk factors of missed diagnosis of CXR. Results In 467 lesions, total missed diagnosis rate of lung cancer on CXR was 25.9%. It was 100% in lesions smaller than 10 mm, and 31.1% in lesions between 10 mm and 20 mm, whereas it was 4.7% in lesions greater than 20 mm. Univariate analysis showed lung cancer negative group and positive group had significant differences in lesion size, density, imaging classification, pathologic types and obstructive change. Multivariate regression analysis showed that lesion size, density and imaging classification were independent risk factors of missed diagnosis (P< 0.05). Conclusion Lesions size, density and imaging classification are the main risk factors of missed diagnosis of lung cancer on chest X-ray radiography. Chest X-ray radiography is not suggested for detection of early lung cancer but low-dose CT.

     

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