Publications by authors named "Hantian Dong"
Objectives: To investigate the mediating role of the activation degree of arginine-proline metabolism in the association of coal dust and decreased lung function.
Methods: Cumulative dust exposure (CDE) represented coal dust exposure, whereas the hydroxyproline-to-arginine concentration ratio (Hyp/Arg) in bronchoalveolar lavage fluid gauged arginine-proline metabolism activation. Pulmonary function indicators, including predicted value of forced vital capacity (FVC%pred), forced expiratory volume in 1 second/forced vital capacity (FEV1/FVC%), and the ratio of actual to predicted value of FEV1 (FEV1%pred), diffusing capacity of the lungs for carbon monoxide (DLCO%pred), difference value between alveolar air and arterial partial oxygen pressure (P (A-a) O 2 ), and 6-minute walking distance test (6MWT), were assessed.
Background: Pneumoconiosis is a kind of lung dysfunction caused by the inhalation of mineral dust. However, the potential molecular mechanism of pneumoconiosis have not been fully elucidated.
Methods: In this study, the silica-treated pneumoconiosis mice model was constructed and the transcriptome sequencing data including lncRNA, circRNA, and mRNA were obtained.
Article Synopsis
- The study aims to create an effective clinical prediction system for coal workers' pneumoconiosis (CWP) to improve diagnosis in patients exposed to coal dust.
- Researchers enrolled patients from August to December 2021 and used machine learning algorithms combined with feature selection methods to find the best predictive model for CWP.
- The support vector machine (SVM) algorithm emerged as the most effective model, achieving high accuracy in predicting early-stage CWP with AUC values of 97.78%, 93.7%, and 95.56% across different feature selection methods.
Purpose: This paper aims to develop a successful deep learning model with data augmentation technique to discover the clinical uniqueness of chest X-ray imaging features of coal workers' pneumoconiosis (CWP).
Patients And Methods: We enrolled 149 CWP patients and 68 dust-exposure workers for a prospective cohort observational study between August 2021 and December 2021 at First Hospital of Shanxi Medical University. Two hundred seventeen chest X-ray images were collected for this study, obtaining reliable diagnostic results through the radiologists' team, and confirming clinical imaging features.