Literature DB >> 1472446

Classification of chest radiographs for pneumoconiosis: a comparison of two methods of reading.

D C Muir1, C D Bernholz, W K Morgan, J O Roos, J Chan, W Maehle, J A Julian, A Sebestyen.   

Abstract

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Year:  1992        PMID： 1472446      PMCID： PMC1061218          DOI： 10.1136/oem.49.12.869

Source DB:  PubMed          Journal:  Br J Ind Med        ISSN： 0007-1072


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  7 in total

1.  The study of observer variation in the radiological classification of pneumoconiosis.

Authors:  J W FAY; J R ASHFORD
Journal:  Br J Ind Med       Date:  1960-10

2.  The use of standard films in the radiological diagnosis of coalworkers' pneumoconiosis.

Authors:  C M FLETCHER; P D OLDHAM
Journal:  Br J Ind Med       Date:  1951-07

3.  A reappraisal of the kappa coefficient.

Authors:  W D Thompson; S D Walter
Journal:  J Clin Epidemiol       Date:  1988       Impact factor: 6.437

Review 4.  Misinterpretation and misuse of the kappa statistic.

Authors:  M Maclure; W C Willett
Journal:  Am J Epidemiol       Date:  1987-08       Impact factor: 4.897

5.  The dust content of the lungs of hard-rock miners and its relationship to occupational exposure, pathological and radiological findings.

Authors:  D K Verma; D C Muir; M L Stewart; J A Julian; A C Ritchie
Journal:  Ann Occup Hyg       Date:  1982

6.  Radiologic classification of the pneumoconioses. An Anglo-American radiograph reading exercise and study of the International Labour Office (1958) Classification of the Pneumoconioses. A cooperative study.

Authors:  J R Ashford; P E Enterline
Journal:  Arch Environ Health       Date:  1966-03

7.  Silica exposure and silicosis among Ontario hardrock miners: I. Methodology.

Authors:  D C Muir; H S Shannon; J A Julian; D K Verma; A Sebestyen; C D Bernholz
Journal:  Am J Ind Med       Date:  1989       Impact factor: 2.214
  7 in total
  5 in total

1.  Computerized analysis of pneumoconiosis in digital chest radiography: effect of artificial neural network trained with power spectra.

Authors:  Eiichiro Okumura; Ikuo Kawashita; Takayuki Ishida
Journal:  J Digit Imaging       Date:  2011-12       Impact factor: 4.056

2.  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

3.  Novel Logistic Regression Model of Chest CT Attenuation Coefficient Distributions for the Automated Detection of Abnormal (Emphysema or ILD) Versus Normal Lung.

Authors:  Kung-Sik Chan; Feiran Jiao; Marek A Mikulski; Alicia Gerke; Junfeng Guo; John D Newell; Eric A Hoffman; Brad Thompson; Chang Hyun Lee; Laurence J Fuortes
Journal:  Acad Radiol       Date:  2016-01-08       Impact factor: 3.173

4.  Chest radiography and high resolution computed tomography in the evaluation of workers exposed to silica dust: relation with functional findings.

Authors:  D Talini; P L Paggiaro; F Falaschi; L Battolla; M Carrara; M Petrozzino; E Begliomini; C Bartolozzi; C Giuntini
Journal:  Occup Environ Med       Date:  1995-04       Impact factor: 4.402

5.  Development of CAD based on ANN analysis of power spectra for pneumoconiosis in chest radiographs: effect of three new enhancement methods.

Authors:  Eiichiro Okumura; Ikuo Kawashita; Takayuki Ishida
Journal:  Radiol Phys Technol       Date:  2014-01-12
  5 in total

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