• Ananda Sen, Shih-Yuan Lee, Brenda W Gillespie, Ella A Kazerooni, Mitchell M Goodsitt, Kenneth D Rosenman, James E Lockey, Cristopher A Meyer, E Lee Petsonk, Mei Lin Wang, and Alfred Franzblau.
• Center for Statistical Consultation and Research, University of Michigan, Ann Arbor, MI, USA.
• Acad Radiol. 2010 Apr 1; 17 (4): 511-9.

Rationale And ObjectivesThe International Labour Office (ILO) system for classifying chest radiographic changes related to inhalation of pathogenic dusts is predicated on film-screen radiography. Digital radiography has replaced film in many centers. Digital images can be printed on film ("hard copy") or can be viewed at a computer workstation ("soft copy"). The goal of the present investigation was to compare the inter-reader and intra-reader agreement of ILO classifications for pneumoconiosis across image formats.Materials And MethodsTraditional film radiographs, hard copy digital images, and soft copy digital images from 107 subjects were read by six B readers. A multiple reader version of the inter-reader kappa statistic was compared across image formats. Intra-reader kappa comparisons were carried out using an iterative least-squares approach (unadjusted analysis) as well as a two-stage regression model adjusting for readers and subject-level covariates.ResultsThere were few significant differences in the inter-reader and intra-reader agreement across formats. For parenchymal abnormalities, inter-reader and intra-reader kappa values ranged from 0.536 to 0.646, and 0.65 to 0.77, respectively. In the covariate-adjusted analysis film-screen radiography was generally associated with a numerically greater reliability (ie, higher kappa values) than the other image formats, although differences were rarely statistically significant.ConclusionFilm-screen radiographs, hard copy digital images, and soft copy digital images yielded similar reliability measures. These findings provide further support to the recommendation that soft copy digital images can be used for the recognition and classification of dust-related parenchymal abnormalities using the ILO system.Copyright 2010 AUR. All rights reserved.

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