Non-tuberculous mycobacterial lung disease: diagnosis based on computed tomography of the chest

Objectives To elucidate the accuracy and inter-observer agreement of non-tuberculous mycobacterial lung disease (NTM-LD) diagnosis based on chest CT findings. Methods Two chest radiologists and two pulmonologists interpreted chest CTs of 66 patients with NTM-LD, 33 with pulmonary tuberculosis and 33...

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Bibliographic Details
Published in:European radiology 2016-12, Vol.26 (12), p.4449-4456
Main Authors: Kwak, Nakwon, Lee, Chang Hyun, Lee, Hyun-Ju, Kang, Young Ae, Lee, Jae Ho, Han, Sung Koo, Yim, Jae-Joon
Format: Article
Language:English
Subjects:
Accuracy
Aged
Agreements
Bacterial infections
Bronchiectasis - diagnostic imaging
Chest
Cystic fibrosis
Diagnostic Radiology
Female
Hospitals
Humans
Imaging
Infections
Infectious diseases
Internal Medicine
Interventional Radiology
Logistic Models
Lung diseases
Male
Medicine
Medicine & Public Health
Middle Aged
Multivariate Analysis
Mycobacterium
Mycobacterium Infections, Nontuberculous - diagnostic imaging
Neuroradiology
Observer Variation
Odds Ratio
Patients
Pulmonary Atelectasis - diagnostic imaging
Radiology
Respiratory diseases
Retrospective Studies
Sensitivity and Specificity
Tomography
Tomography, X-Ray Computed - methods
Tuberculosis
Tuberculosis, Pulmonary - diagnostic imaging
Ultrasound
University colleges
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Summary:Objectives To elucidate the accuracy and inter-observer agreement of non-tuberculous mycobacterial lung disease (NTM-LD) diagnosis based on chest CT findings. Methods Two chest radiologists and two pulmonologists interpreted chest CTs of 66 patients with NTM-LD, 33 with pulmonary tuberculosis and 33 with non-cystic fibrosis bronchiectasis. These observers selected one of these diagnoses for each case without knowing any clinical information except age and sex. Sensitivity and specificity were calculated according to degree of observer confidence. Inter-observer agreement was assessed using Fleiss’ κ values. Multiple logistic regression was performed to elucidate which radiological features led to the correct diagnosis. Results The sensitivity of NTM-LD diagnosis was 56.4 % (95 % CI 47.9–64.7) and specificity 80.3 % (73.1–86.0). The specificity of NTM-LD diagnosis increased with confidence: 44.4 % (20.5–71.3) for possible, 77.4 % (67.4–85.0) for probable, 95.2 % (87.2–98.2) for definite ( P  
ISSN:0938-7994
1432-1084
DOI:10.1007/s00330-016-4286-6