title: High-resolution computed tomography classification of lung fibrosis for patients with asbestos-related disease.
abstract: OBJECTIVE
  This study tested a new high-resolution computed tomography (HRCT) scoring method for asbestos-induced parenchymal changes in the lung.
  
  
  METHODS
  HRCT scans of 602 asbestos-exposed workers and 49 referents were reviewed by 3 radiologists. Structured forms were filled out for a semiquantitative HRCT fibrosis score based on several specified parenchymal abnormalities scored separately. Observer agreement was studied with the use of the quadratic-weighted kappa (kappaqw). The HRCT fibrosis score (from 0 to V with definitions and index images given retrospectively) was compared with the radiographic classification of the International Labour Office (ILO) for the same patients. Receiver-operating characteristic (ROC) curves were computed to compare the tests for diagnosing asbestosis.
  
  
  RESULTS
  Good inter- and intraobserver agreements were achieved (kappaqw = 0.64 and 0.72, respectively) as regards the HRCT fibrosis score. All the specified computed tomography findings explained 86% of the variance in the HRCT fibrosis score. Age and occupational group were significant predictors of fibrosis. The area under the ROC curve was significantly greater for the HRCT fibrosis score (0.89) than for the ILO radiographic classification (0.76). The sensitivity (70%) and specificity (91%) of the HRCT fibrosis score (classes I/II-V representing asbestosis) were better than those of the classification published by the International Labour Office (51% and 89%, respectively, score > or = 1/0 representing asbestosis).
  
  
  CONCLUSIONS
  The examined HRCT scoring method proved to be a simple, reliable, and reproducible method for classifying lung fibrosis and diagnosing asbestosis also in large populations with occupational disease, and it would be possible to use it as a part of an international classification.
authors.affiliation: Finnish Institute of Occupational Health, Helsinki. Olli.Huuskonen@occuphealth.fi
authors.forename: O
authors.initials: O
authors.lastname: Huuskonen
authors.forename: L
authors.initials: L
authors.lastname: Kivisaari
authors.forename: A
authors.initials: A
authors.lastname: Zitting
authors.forename: K
authors.initials: K
authors.lastname: Taskinen
authors.forename: A
authors.initials: A
authors.lastname: Tossavainen
authors.forename: T
authors.initials: T
authors.lastname: Vehmas
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D001195:Asbestosis / Q000145:classification / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D017563:Lung Diseases, Interstitial / Q000145:classification / Q000000981:diagnostic imaging*; D008297:Male; D008875:Middle Aged; D011658:Pulmonary Fibrosis / Q000145:classification / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed / Q000379:methods*