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Chinese Journal of Antituberculosis ›› 2018, Vol. 40 ›› Issue (7): 724-729.doi: 10.3969/j.issn.1000-6621.2018.07.011

• Original Articles • Previous Articles     Next Articles

Analysis of CT features of pulmonary sclerosing pneumocytoma

Wei HE,Xin-hua ZHOU,Fang LI,Yan LYU,Zhen ZHOU,Cheng-hai LI,Bu-dong CHEN()   

  1. Department of Radiology, Beijing Chest Hospital, Capital Medical University, Beijing 101149, China
  • Received:2018-03-26 Online:2018-07-10 Published:2018-09-07
  • Contact: Bu-dong CHEN E-mail:budongchen@sina.com

Abstract:

Objective To retrospectively analyze the CT features of pulmonary sclerosing pneumocytoma (PSP), in order to improve the correct rate of CT in diagnosis of PSP.Methods Thirty-three cases confirmed by operation and pathology in our hospital from 2012 to 2017 were selected. All cases were scanned by plain scan and 29 cases underwent simultaneous CT enhanced scan in addition. The CT manifestations were retrospectively analyzed.Results CT images of PSP were often shown as a single (30, 90.9%) soft tissue density nodule (20, 60.6%). Most were round (30, 90.9%), regular in edge (27, 81.8%) and located in peripheral (22,66.7%); 19 (65.5%) lesions were inhomogeneous enhancement in enhanced scan. Significant enhancement and delayed enhancement were seen in most cases (26,89.7%). The lesions often complicated with vascular border sign (21, 72.4%),while rarely lymph node enlargement (3, 9.1%).Calcification (10,30.3%), cystic change (5, 15.2%), tail sign (5, 15.2%), halo sign (8, 24.2%), air crescent sign (5, 15.2%) were found in PSP lesions; and 4 cases (12.1%) showed air crescent sign and halo sign simultaneously.Conclusion PSP is often shown as a single round soft tissue density nodule. Enhanced scan is characterized by obvious enhancement and continuous enhancement of delayed scan, with some characteristic concomitant signs. If age and sex were also considered, the accuracy of CT diagnosis could be improved.

Key words: Pulmonary sclerosing pneumocytoma, Pulmonary sclerosing hemangioma, Tomography, X-ray computed, Solitary pulmonary nodule, Disease attributes