[Objective]To investigate the MSCT characteristics of primary large cell neuroendocrine carcinoma(LCNEC)of the lung in order to improve the preoperative diagnosis rate of LCNEC.[Methods]The CT and clinicopathological data of 16 patients with primary pulmonary LCNEC confirmed by operation or biopsy were retrospectively analyzed.All cases underwent enhanced chest scan after plain scan.[Results]Of 16 primary LCNEC cases,14 cases(87.5％)were peripheral type,2 cases(12.5％)were central type,10 cases(62.5％)were located in the upper lobe of both lungs,1 case(6.25％)was located in the middle lobe of the right lung,and 5 cases(31.25％)were located in the lower lobe of both lungs.The average maximum length of tumor was＞4 cm.The tumors were irregular in shape in 14 cases(87.5％),lobulated in 12 cases(75％),burrs in 3 cases(18.75％),and ground glass shadows in 1 case(6.25％).The tumor boundaries were clear in 10 cases(62.5％).There were 15 cases(93.75％)with uneven tumor density,1 case(6.25％)with cavity formation,1 case(6.25％)with punctal calcification,1 case(6.25％)with uniform tumor density.Adjacent pleural thickening occurred in 8 cases(50％).Ten cases(62.5％)had multiple enlarged lymph nodes in the mediastinum and hilum of the lung.Pulmonary nodules were found in 4 cases(25％).One case(6.25％)had low-density liver metastases.Fifteen cases(93.75％)showed mild to moderate enhancement,1 case(6.25％)showed obvious enhancement,and 15 cases(93.75％)showed focal and diffuse necrosis.[Conclusion]When there were large masses around the lung,irregular shapes,clear borders,lobulated,thickened adjacent pleura,multiple enlarged mediastinum lymph nodes and distant metastases,the enhanced scan showed mild to moderate enhancement accompanied by varying degrees of necrosis,with certain characteristics.To provide a basis for preoperative clinical diagnosis,but further histopathological examination is needed for diagnosis.
关键词
多层螺旋CT/肺肿瘤/原发性大细胞神经内分泌癌/临床价值
Key words
multislice spiral CT/lung tumor/primary large cell neuroendocrine carcinoma/clinical value
维普
万方数据