Mediastinal Lymph Node Silicotic Nodules and Occupational Exposure to Respirable Crystalline Silica: A Controlled Study in Patients with Lung Cancer

Brochard, Patrick; Bégueret, Hugues; Thumerel, Matthieu; Bakhiyi, Rachida; Leclerc, Isabelle; Audoin, Carine; Laurent, François; Sesé, Lucile; Bernaudin, Jean-François

doi:10.1164/rccm.202110-2310le

Cited by 2 publications

References 10 publications

(16 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

Silica and Silica Compounds

Marrocco,

Dy,

Ortiz

et al. 2023

Patty's Toxicology

View full text Add to dashboard Cite

Crystalline silica is one of the most abundant minerals on Earth. More than 230 million individuals around the world, and more than 2 million workers in the United States, predominantly in construction and mining occupations, are exposed to silica every year. Inhalation of crystalline silica leads to the development of silicosis, a progressive pneumoconiosis characterized by chronic lung inflammation and fibrosis, for which no specific therapy is available. Silicosis is also associated with increased risk of tuberculosis, lung cancer, chronic obstructive pulmonary disease (COPD), kidney disease, and autoimmune disease. These health risks remain elevated even after silica exposure has ceased. Although preventive measures have decreased the mortality attributable to silica exposure in the past decade, this occupational lung disease still kills about 100 people every year in the United States, according to the National Institute for Occupational Safety and Health (NIOSH). Between 1999 and 2013, silicosis was the underlying or contributing cause of death for about 2000 people, and 300 deaths occurred each year between 1991 and 1995, while it decreased to about 100 per year in 2012 and 2013. Data from NIOSH show that a large number of workers are at increased risk for silicosis because of exposure to silica levels that exceed current regulatory standards. Therefore, regulatory agencies have been forced to further reduce the permissible exposure levels (PEL) to 25 μg/m 3 (micrograms of silica per cubic meter of air) over an 8‐h shift, to improve prophylaxis. Despite these efforts, silicosis remains a global health threat.

show abstract

Silica and Silica Compounds

Marrocco,

Dy,

Ortiz

et al. 2023

Patty's Toxicology

View full text Add to dashboard Cite

show abstract

Endobronchial Ultrasound-Based Support Vector Machine Model for Differentiating between Benign and Malignant Mediastinal and Hilar Lymph Nodes

Hu,

Wen,

Zhao

et al. 2024

Respiration

View full text Add to dashboard Cite

Introduction: To establish an ultrasonographic radiomics machine learning model based on endobronchial ultrasound (EBUS) to assist in diagnosing benign and malignant mediastinal and hilar lymph nodes (LNs). Methods: The clinical and ultrasonographic image data of 197 patients were retrospectively analyzed. The radiomics features extracted by EBUS-based radiomics were analyzed by the least absolute shrinkage and selection operator (LASSO). Then, we used a support vector machine (SVM) algorithm to establish an EBUS-based radiomics model. A total of 205 lesions were randomly divided into training (n=143) and validation (n=62) groups. The diagnostic efficiency was evaluated by receiver operating characteristic (ROC) curve analysis. Results: A total of 13 stable radiomics features with non-zero coefficients were selected. The SVM model exhibited promising performance in both groups. In the training group, the SVM model achieved a ROC area under the curve (AUC) of 0.892 (95% CI: 0.885-0.899), with an accuracy of 85.3%, sensitivity of 93.2%, and specificity of 79.8%. In the validation group, the SVM model had an ROC AUC of 0.906 (95% CI: 0.890–0.923), an accuracy of 74.2%, a sensitivity of 70.3%, and a specificity of 74.1%. Conclusion: The EBUS-based radiomics model can be used to differentiate mediastinal and hilar benign and malignant LNs. The SVM model demonstrated excellent potential as a diagnostic tool in clinical practice.

show abstract

Mediastinal Lymph Node Silicotic Nodules and Occupational Exposure to Respirable Crystalline Silica: A Controlled Study in Patients with Lung Cancer

Cited by 2 publications

References 10 publications

Silica and Silica Compounds

Silica and Silica Compounds

Endobronchial Ultrasound-Based Support Vector Machine Model for Differentiating between Benign and Malignant Mediastinal and Hilar Lymph Nodes

Contact Info

Product

Resources

About