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

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dc.contributor.author강영애-
dc.date.accessioned2019-01-04T16:40:07Z-
dc.date.available2019-01-04T16:40:07Z-
dc.date.issued2016-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/166521-
dc.description.abstractOBJECTIVES: 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 < 0.001) diagnoses. Inter-observer agreement for NTM-LD diagnosis was moderate (κ = 0.453). Tree-in-bud pattern (adjusted odds ratio [aOR] 6.24, P < 0.001), consolidation (aOR 1.92, P = 0.036) and atelectasis (aOR 3.73, P < 0.001) were associated with correct NTM-LD diagnoses, whereas presence of pleural effusion (aOR 0.05, P < 0.001) led to false diagnoses. CONCLUSIONS: NTM-LD diagnosis based on chest CT findings is specific but not sensitive. KEY POINTS: Diagnosis of NTM-LD based on radiological findings showed high specificity. Sensitivity of NTM-LD diagnosis was around 50 %. Inter- observer agreement was moderate. Identification of tree-in-bud pattern, consolidation and atelectasis led to correct diagnoses.-
dc.description.statementOfResponsibilityrestriction-
dc.relation.isPartOfEur Radiol-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAged-
dc.subject.MESHBronchiectasis/diagnostic imaging*-
dc.subject.MESHFemale-
dc.subject.MESHHumans-
dc.subject.MESHLogistic Models-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHMultivariate Analysis-
dc.subject.MESHMycobacterium Infections, Nontuberculous/diagnostic imaging*-
dc.subject.MESHObserver Variation-
dc.subject.MESHOdds Ratio-
dc.subject.MESHPulmonary Atelectasis/diagnostic imaging-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHSensitivity and Specificity-
dc.subject.MESHTomography, X-Ray Computed/methods-
dc.subject.MESHTuberculosis, Pulmonary/diagnostic imaging*-
dc.titleNon-tuberculous mycobacterial lung disease: diagnosis based on computed tomography of the chest.-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학교실)-
dc.contributor.googleauthorNakwon Kwak-
dc.contributor.googleauthorChang Hyun Lee-
dc.contributor.googleauthorHyun-Ju Lee-
dc.contributor.googleauthorYoung Ae Kang-
dc.contributor.googleauthorJae Ho Lee-
dc.contributor.googleauthorSung Koo Han-
dc.contributor.googleauthorJae-Joon Yim-
dc.identifier.doi10.1007/s00330-016-4286-6-
dc.contributor.localIdA00057-
dc.identifier.pmid26945763-
dc.identifier.urlhttps://link.springer.com/article/10.1007%2Fs00330-016-4286-6-
dc.contributor.alternativeNameKang, Young Ae-
dc.contributor.affiliatedAuthor강영애-
dc.citation.volume26-
dc.citation.number12-
dc.citation.startPage4449-
dc.citation.endPage4456-
dc.identifier.bibliographicCitationEur Radiol, Vol.26(12) : 4449-4456, 2016-
dc.identifier.rimsid60332-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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