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肺内炎性肿块与周围型肺癌的CT及X线鉴别诊断
引用本文:陶学伟,徐仁根,周雪春,陆普选. 肺内炎性肿块与周围型肺癌的CT及X线鉴别诊断[J]. 临床肺科杂志, 2006, 11(5): 589-591
作者姓名:陶学伟  徐仁根  周雪春  陆普选
作者单位:330029,江西省肿瘤医院放射科;518020,深圳市东湖医院放射科
摘    要:目的探讨肺内炎性肿块与周围型肺癌的CT及X线影像学表现特征及鉴别要点。方法对手术病理确诊的56例肺内炎性肿块和96例周围型肺癌病例的临床和CT及X线影像学资料进行回顾性分析。根据病灶形态分为典型肿块和不典型肿块。结合临床病史及影像学检查特征,对两者进行鉴别诊断。结果以形态分类为标准,诊断炎性肿块的敏感度、特异度、准确度分别为69.6%(39/56)、67.7%(65/96)、68.4%(104/152)。结合临床病史及影像学特征修正诊断的敏感度、特异度、准确度分别为80.4%(45/56)、74.0%(71/96)、76.3%(116/152)。结论以病灶形态为基础,结合临床病史,对影像学特征进行分析可明显提高诊断的敏感度、特异度及准确度。

关 键 词:肉芽肿  肺肿瘤  体层摄影术  X线计算机  鉴别诊断
收稿时间:2006-05-20
修稿时间:2006-05-20

The Differential Diagnosis of Pulmonary Inflammatory Mass and Peripheral Lung Cancer by CT and X-ray
TAO Xue-wei,XU Ren-gen,ZHOU Xue-chun. The Differential Diagnosis of Pulmonary Inflammatory Mass and Peripheral Lung Cancer by CT and X-ray[J]. Journal of Clinical Pulmonary Medicine, 2006, 11(5): 589-591
Authors:TAO Xue-wei  XU Ren-gen  ZHOU Xue-chun
Affiliation:Department of Radiology,Jiangxi Provincial Cancer Hospital, Nanchang 330029, China
Abstract:Objective To investigate the imaging feature and essential spoints of differential diagnosis of pulmonary inflammatory mass and peripheral lung cancer by computed tomography and X-ray. Methods 56 patients of pulmonary inflammatory masses and 96 patients of peripheral lung cancers were included in the study,all patients conformed by pathology .The lesions were divided into typical and atypical masses according to morphology. Observing the signs of lesions and combining with clinical data. Results According to the standard of morphology,the diagnosis sensitivity,specificity and accuracy of inflammatory mass are 69.6%(39/56),67.7%(65/96)and 68.4%(104/152) respectively. The ameliorated sensitivity,specificity and accuracy are 80.4%(45/56),74.0%(71/96) and 76.3%(116/152) respectively. Conclusion The method of making morphology as basement and imaging feature as supplement can improve the sensitivity,specificity and accuracy of diagnosis.
Keywords:Granuloma Lung neoplasms Tomography X-ray computed Differential diagnosis
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