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Composite CT score-based assessment for comparative analysis of radiological feature and clinical factor in pulmonary non-tuberculous mycobacterial disease
Received:February 23, 2022  Revised:May 10, 2022  Click here to download the full text
Citation of this paper:MIAO Qing,WANG Mei-xia,PAN Jue,QU Hong,BAO Rong,YAO Yu-meng,MI Hong-fei,HU Bi-jie.Composite CT score-based assessment for comparative analysis of radiological feature and clinical factor in pulmonary non-tuberculous mycobacterial disease[J].Chinese Journal of Clinical Medicine,2022,29(3):409-414
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Author NameAffiliationE-mail
MIAO Qing Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, China  
WANG Mei-xia Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, China  
PAN Jue Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, China  
QU Hong Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, China  
BAO Rong Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, China  
YAO Yu-meng Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, China  
MI Hong-fei Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, China  
HU Bi-jie Department of Infectious Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, China hu.bijie@zs-hospital.sh.cn 
Abstract:Objective To explore the factors influencing the imaging characteristics of non-tuberculous Mycobacterium lung disease in China by CT composite scoring system. Methods A total of 56 patients were retrospectively collected during September 2018 to October 2019 in Zhongshan Hospital, Fudan University with suspicious nontuberculous mucobacteria pulmonary disease (NTM-PD), according to the CT score, it is divided into groups with CT score <10 (n=27) and groups with CT score ≥ 10 (n=29). Clinical and imaging information were collected, and imaging evaluation intergrated bronchiectasis, tree-in-bud, nodular, consolidation, cavity, aspergilloma and lung segment into scoring system. Results Age was significantly increased in the CT score ≥ 10 group (65.63±11.2 vs 56.21±14.09, P=0.008). There was a correlation between age and CT score (r=0.322, P=0.016). CT scores of right upper middle lobe, left tongue segment and tree-in-bud sign were correlated with CT scores increasement with significant difference (all r>0.7, P<0.05). The correlation between left tongue lobe and tree-in-bud sign was strongly correlated (r=0.73, P=0.05). CT score affected the absorption rate of lesions in patients (P=0.037), but it may be related to confounding factors (HR=0.416, P=0.084). Conclusion The severe pulmonary lesions are mainly related to the bronchiectasis and tree-in-bud of left tongue segment. Elderly patients had more severe lung imaging lesions, and the absorption of the lesion was not obvious.
keywords:non-tuberculous Mycobacterium pulmonary disease  CT score  aging petient
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