Socio-Demographic and Clinical Characteristics of Turkish Workers with Pneumoconiosis

Pitfalls of using the ILO classification for silicosis compensation claims

BACKGROUND

The International Labour Organization (ILO) Classification of Radiographs of Pneumoconioses is used as the primary tool to determine compensation for pneumoconiosis in Turkey.

AIMS

We aimed to evaluate how the ILO classification applied, but obtaining chest radiographs in the workplace for screening until the completion of compensation claim files by the referral centres, based on the ILO reading.

METHODS

The study included 320 digital chest radiographs previously taken for screening from eight different ceramic factories and having finalised claim files by referral centres. We used an expert reference panel consisting of five ILO readers to re-evaluate all the radiographs independently using ILO standard films and reached a conclusion based on the agreement among at least three readers. The evaluation primarily included technical quality and silicosis diagnosis with an ILO 1/0 or above small profusion. The results were compared with previous findings.

RESULTS

Sixty-three (20%) chest radiographs were unacceptable for classification purposes according to the ILO technical quality grades. Among the remaining 257 chest radiographs, we diagnosed 103 with silicosis (40%), while the referral centres diagnosed 182 (71%). A discrepancy was found between our results and previous evaluations. We diagnosed silicosis in 50% and 17% of the previous silicosis and normal evaluations, respectively.

CONCLUSIONS

Our findings suggest that the use of the ILO classification for compensation claims may be problematic due to the way of its implementation in Turkey in addition to its subjectivity.

Intelligent Image Diagnosis of Pneumoconiosis Based on Wavelet Transform-Derived Texture Features

Objective. Early diagnosis and treatment of occupational pneumoconiosis can delay the development of the disease. This study is aimed at investigating the intelligent diagnosis of occupational pneumoconiosis by wavelet transform-derived entropy. Method. From June 2013 to June 2020, the high KV digital radiographs (DR) and computed tomography (CT) images from a total of 60 patients with occupational pneumoconiosis in our department were selected. The wavelet transform-derived texture features were extracted from all images, and the decision tree was used for feature selection. The support vector machines (SVM) with three kernel functions were selected to classify the two kinds of images, and their diagnostic efficiency was compared. Result. After eight times of wavelet decomposition, eight wavelet entropy texture features (feature set) were extracted, and six were selected to form the feature subset. The classification effect of linear kernel function SVM is better than those of other functions, with an accuracy of 84.2%. The diagnostic values of DR and CT for occupational pneumoconiosis were the same ( $\text{kappa}=0.737,P<0.001$ ). The detection rate of CT for stage I of occupational pneumoconiosis was significantly higher than that of DR ( $P=0.031$ ). Conclusion. It is helpful to improve the early diagnosis level of pneumoconiosis by using SVM to make an intelligent diagnosis based on the wavelet entropy.

Dust induces lung fibrosis through dysregulated DNA methylation

Pneumoconiosis is a serious occupational disease that often occurs to coal workers with no early diagnosis and effective treatment at present. Diffuse pulmonary fibrosis is the major pathological change of pneumoconiosis, and its mechanism is still unclear. Epigenetics is involved in the development of many diseases, and it is closely associated with fibrosis. In this study, we investigated whether DNA methylation contributes to the pathogenesis of pulmonary fibrosis in pneumoconiosis. By exposure to coal dust or silica dust, we established the models of coal worker's pneumoconiosis (CWP), which showed an increased expression of COL-I, COL-III. We further found that DNMT1, DNMT3a, DNMT3b, MBD2, MeCP2 protein expression changed. Pretreatment with DNMT inhibitor 5-aza-dC reduced expression of COL-I, COL-III, and reduced pulmonary fibrosis. In summary, our results showed that DNA methylation contributes to dust-induced pulmonary fibrosis and that it may serve as a theoretical basis for testing DNA methyltransferase inhibitors in the treatment of CWP.

Silicosis in Turkey: Is it an Endless Nightmare or is There Still Hope?

Silicosis is an ancient but still life-threatening occupational lung disease because of its incurable nature. Although its risks are known in many occupational settings and effective control strategies are well established, new cases, even epidemics, continue to occur in different sectors of Turkey. Before taking action, defining the magnitude of the problem is essential. In this concise review, we aimed to present the current situation of silicosis in Turkey. According to the data available to date, silicosis continues to be a major health problem in different sectors. Sandblasting seems to have the highest risk for the development of silicosis. Disease onset at early age and history of short exposure duration may indicate intense silica exposure. After denim sandblasters, dental technicians seem to be the new and recently recognized high-risk occupation group as per the increasing reports. Because of the lack of a definite treatment of silicosis, prevention of the disease should be the main target. Better occupational disease registry systems would be useful to assess the magnitude of the problem. In addition to implementing the necessary regulations, a close inspection of the workplaces for potential risks is essential. Other social and economic factors related with the occurrence of disease, such as unregistered employment rate and unlicensed and uninsured work, should also be considered. Finally, optimal healthcare and better living conditions for patients with silicosis should be ensured.