Literature DB >> 9872210

Variability in the classification of radiographs using the 1980 International Labor Organization Classification for Pneumoconioses.

L S Welch1, K L Hunting, J Balmes, E A Bresnitz, T L Guidotti, J E Lockey, T Myo-Lwin.   

Abstract

This study describes the extent of agreement in classification of chest radiographs using the International Labor Organization (ILO) classification among six readers from the United States and Canada. A set of 119 radiographs was created and read by three Canadian and three US readers. The two ratings of interest were profusion (scored from 0/- to 3/+) and pleural abnormalities consistent with pneumoconiosis (scored with the ILO system, then collapsed into a yes/no). We used a number of approaches to evaluate interreader agreement on profusion and pleural changes, determining concordance, observed agreement, kappa statistic, and a new measure to approximate sensitivity and specificity. This study found that five of six readers had good fair to good agreement for pleural findings and for profusion as a dichotomous variable (> or = 1/0 vs < or = 0/1) using the kappa statistic, while a sixth reader had poor agreement. We found that concordance, expressed as percent agreement, was higher for normal radiographs than for ones that showed disease, and describe the use of the kappa statistic to control for this finding. This analysis adds to the existing literature with the use of the kappa statistic, and by presenting a new measure for "underreading" and "overreading" tendencies.

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Year:  1998        PMID: 9872210     DOI: 10.1378/chest.114.6.1740

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  5 in total

1.  Interpretation of occupational peak flow records: level of agreement between expert clinicians and Oasys-2.

Authors:  D R Baldwin; P Gannon; P Bright; D T Newton; A Robertson; K Venables; B Graneek; R D Barker; A Cartier; J-L Malo; M Wilsher; C F A Pantin; P S Burge
Journal:  Thorax       Date:  2002-10       Impact factor: 9.139

2.  Radiographic outcomes among South African coal miners.

Authors:  Rajen N Naidoo; Thomas G Robins; A Solomon; Neil White; Alfred Franzblau
Journal:  Int Arch Occup Environ Health       Date:  2004-09-09       Impact factor: 3.015

3.  Intramodality and intermodality comparisons of storage phosphor computed radiography and conventional film-screen radiography in the recognition of small pneumoconiotic opacities.

Authors:  A Scott Laney; Edward L Petsonk; Michael D Attfield
Journal:  Chest       Date:  2011-05-26       Impact factor: 9.410

4.  Inter-reader variability in chest radiography and HRCT for the early detection of asbestos-related lung and pleural abnormalities in a cohort of 636 asbestos-exposed subjects.

Authors:  Elke Ochsmann; Tanja Carl; Peter Brand; Hans-Jürgen Raithel; Thomas Kraus
Journal:  Int Arch Occup Environ Health       Date:  2009-07-18       Impact factor: 3.015

5.  A deep learning-based model for screening and staging pneumoconiosis.

Authors:  Liuzhuo Zhang; Ruichen Rong; Qiwei Li; Donghan M Yang; Bo Yao; Danni Luo; Xiong Zhang; Xianfeng Zhu; Jun Luo; Yongquan Liu; Xinyue Yang; Xiang Ji; Zhidong Liu; Yang Xie; Yan Sha; Zhimin Li; Guanghua Xiao
Journal:  Sci Rep       Date:  2021-01-26       Impact factor: 4.379

  5 in total

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