| 陈红梅 刘慧 黄文起 崔宁 邢达.肺炎型肺癌的影像学特点及误诊分析[J].,2015,15(19):3721-3723 |
| 肺炎型肺癌的影像学特点及误诊分析 |
| Imaging Features of Pneumonia Lung Cancer and Misdiagnosis |
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| DOI： |
| 中文关键词: 肺炎型肺癌 影像学 误诊 |
| 英文关键词: Pneumonia lung cancer Imaging Misdiagnosis |
| 基金项目:国家自然科学基金青年项目（30870676） |
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| 中文摘要: |
| 目的：探讨肺炎型肺癌影像学特点，深入肺炎型肺癌认识，提高诊断水平，降低临床误诊率。方法：随机选取2013 年1 月份
至2014 年2 月份我院胸外科住院治疗的36例肺炎型肺癌患者作为研究对象，回顾性分析全部患者的影像学资料及病理检查结
果。结果：患者病变部位在各肺段均有分布，局限性及弥漫性分布均可见，其中局灶性分布较大，未出现跨越肺段侵袭肺叶的病
例。影像表现主要为边缘不清云絮状肿块影、云絮状影伴结节、肺段实变影、肺实变伴空泡及蜂窝状影、肺炎纤维样化及混合阴
影。其中，单纯性磨玻璃影10例；磨玻璃结节肿块10 例；肺段分布实变影7 例；肺叶及肺段实变伴空泡或蜂窝状影6 例；肺炎样
纤维化及肿块10 例；混合阴影（4 种或4 种以上阴影并存）3 例。结论：肺炎型肺癌患者影像学检查结果多具有肺炎样改变，极易
误诊肺炎性疾病，临床诊断中结合活检检查技术，有利于改善临床诊断正确率。 |
| 英文摘要: |
| Objective:To investigate the imaging features of pneumonic lung, cancer, in order to improve the diagnosis of this
disease and reduce the misdiagnosis rate.Methods:36 patients hospitalized with pneumonia lung cancer patients from January 2013 to
February 2014 in our hospital thoracic surgery were randomly selected as research subjects. All patients were retrospectively analyzed the
imaging data and pathological findings. Among them, there were 10 cases of simple ground glass shadow, ground glass nodular mass 10
cases, lung segment consolidation shadows in 7 cases, consolidation of the lung and lung segment with cavitation or honeycomb shade 6
cases, 10 cases of pneumonia fibrosis and tumor, mixed shadow (four or more than four shadow coexist) in 3 patients.Results:The lung
lesions could be situated in every pulmonary segment, with more focal distribution, non- invasive the lobe spanning the pulmonary
segment. The imaging characteristic mainly included the flocculent mass with unclear boundary, cottony clouds shadow with nodules,
pulmonary segments opacities, pulmonary consolidation with vacuoles and honeycomb shadow, pneumonia-like fibrosis and mixed
shadows.Conclusion:The pneumonia lung cancer showed more pneumonia-like changes in imaging, and could be easily misdiagnosed
as pneumonia, so the imaging combined with the biopsy techniques would help to improve the accuracy of clinical diagnosis of
pneumonia lung cancer. |
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