ArticleIndustrial health2019
Comparison of the International Classification of High-resolution Computed Tomography for occupational and environmental respiratory diseases with the International Labor Organization International Classification of Radiographs of Pneumoconiosis.
Article in Industrial health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.
- Diagnostic accuracy of chest X-ray screening for silicosis: a systematic review, meta-analysis and modelling study.Occupational and environmental medicine · 2026Pooled it
- Accessible Blood Based Biomarkers Reflecting Inflammation-Lipid Dysregulation in Silicosis Progression - Jiangsu Province, China, 2021-2024.China CDC weekly · 2026Article
- Metabolomic Subtyping and Machine Learning-Based Diagnosis Reveal Clinical Heterogeneity in Silicosis.Metabolites · 2026Article
- Ceramic industry and pneumoconiosis in Turkey: a cross-sectional study on workplace health management.Journal of occupational medicine and toxicology (London, England) · 2025Article
- Variable Manifestations of Progressive Massive Fibrosis on Chest CT: A Pictorial Essay.Journal of the Korean Society of Radiology · 2025Review
- Cytokine Profiles as Predictive Biomarkers of Disease Severity and Progression in Engineered Stone Silicosis: A Machine Learning Approach.Diagnostics (Basel, Switzerland) · 2025Article
- Double trouble - identifying rating inconsistencies due to double ratings of the "Show backbone" study.Journal of occupational medicine and toxicology (London, England) · 2025Article
- Deep learning-based algorithm for classifying high-resolution computed tomography features in coal workers' pneumoconiosis.Biomedical engineering online · 2025Article
- Early diagnosis and survival outcomes in silicosis: a retrospective cohort study of 11,809 patients in Guangdong Province, China (1956-2020).Frontiers in public health · 2025Article
- Global burden of pneumoconiosis from 1990 to 2021: a comprehensive analysis of incidence, mortality, and socio-demographic inequalities in 204 countries and territories.Frontiers in public health · 2025Article
- Integrating routine blood biomarkers and artificial intelligence for supporting diagnosis of silicosis in engineered stone workers.Bioengineering & translational medicine · 2024Article
- Workers with Suspected Diagnosis of Silicosis: A Case Study of Sarcoidosis Versus Siderosis.Healthcare (Basel, Switzerland) · 2023Article
- Current status, trends, and predictions in the burden of silicosis in 204 countries and territories from 1990 to 2019.Frontiers in public health · 2023Article
- The Potential Diagnostic Biomarkers for the IgG Subclass in Coal Workers' Pneumoconiosis.Journal of immunology research · 2023Article
- Artificial Intelligence Techniques to Predict the Airway Disorders Illness: A Systematic Review.Archives of computational methods in engineering : state of the art reviews · 2023Review
- Understanding the pathogenesis of occupational coal and silica dust-associated lung disease.European respiratory review : an official journal of the European Respiratory Society · 2022Review
- Intelligent Image Diagnosis of Pneumoconiosis Based on Wavelet Transform-Derived Texture Features.Computational and mathematical methods in medicine · 2022Article
- Early Identification, Accurate Diagnosis, and Treatment of Silicosis.Canadian respiratory journal · 2022Review
- Early Detection Methods for Silicosis in Australia and Internationally: A Review of the Literature.International journal of environmental research and public health · 2021Review
- International Classification of the Pneumoconiosis Radiograph Reader Training in Turkey.Turkish thoracic journal · 2020Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The International Classification of High-resolution Computed Tomography for Occupational and Environmental Respiratory Diseases (ICOERD) has been developed for screening and diagnosis of occupational lung diseases. We evaluated the association of icoerd with the International Labor Organization (ILO) classification and respiratory functions in pneumoconiosis. Chest x-rays of patients with pneumoconiosis were classified with ilo and icoerd using hrct, irregular opacity, pleural pathology, and emphysema was detected in 78, 19, and 53 patients, and using chest x-rays in 47, 4, and 14 patients, respectively. There was a significant correlation between ILO categories and ICOERD grades. There was a negative correlation between ILO categories and FEV1% and FVC%, whereas, ICOERD grades were not correlated with FEV1% and FVC%. HRCT was superior to chest x-rays to detect pneumoconiosis in early stage, but not in evaluating pulmonary functions.
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