Literature DB >> 29164583

Application of dynamic CT to identify lung cancer, pulmonary tuberculosis, and pulmonary inflammatory pseudotumor.

X-L Wang1, W Shan.   

Abstract

OBJECTIVE: To determine the value of dynamic enhanced computed tomography (CT) scanning in diagnosing lung cancer, pulmonary tuberculosis, and pulmonary inflammatory pseudotumor. PATIENTS AND METHODS: We recruited 30 patients with pulmonary tuberculoma, 38 with lung cancer, and 16 with pulmonary inflammatory pseudotumor. All patients received CT scanning, dynamic enhanced CT scanning for 20, 30, 45, 60, 75, 90, and 120 s, and scanning for 3, 5, 8, 12, and 15 min. Then, we compared several parameters to determine which ones help with each diagnosis.
RESULTS: The time-density curve for patients with pulmonary tuberculoma was low and flat, and significantly different from lung cancer and inflammatory pseudotumor. The 15 min clearance value and the clearance value for lung cancer and inflammatory pseudotumor were significantly different. The type II time-density curve was common in lung cancer group, whereas the type III time-density curve was common in inflammatory pseudotumor.
CONCLUSIONS: Dynamic enhanced CT scanning demonstrated the ability to differentiate lung cancer, pulmonary tuberculosis, and pulmonary inflammatory pseudotumor, indicating its diagnostic value.

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Mesh:

Year:  2017        PMID: 29164583

Source DB:  PubMed          Journal:  Eur Rev Med Pharmacol Sci        ISSN: 1128-3602            Impact factor:   3.507


  4 in total

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Journal:  BMC Med Imaging       Date:  2020-07-06       Impact factor: 1.930

3.  CT Signs and Differential Diagnosis of Peripheral Lung Cancer and Inflammatory Pseudotumor: A Meta-Analysis.

Authors:  Shiyi Zheng; Jie Shu; Jianan Xue; Caiyun Ying
Journal:  J Healthc Eng       Date:  2022-01-03       Impact factor: 2.682

4.  Differentiating mass-like tuberculosis from lung cancer based on radiomics and CT features.

Authors:  Shuhua Wei; Bin Shi; Jinmei Zhang; Naiyu Li
Journal:  Transl Cancer Res       Date:  2021-10       Impact factor: 1.241

  4 in total

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