[Application of a light-weighted convolutional neural network for automatic recognition of coal workers' pneumoconiosis in the early stage].

Objective: To construct and verify a light-weighted convolutional neural network (CNN), and explore its application value for screening the early stage (subcategory 0/1 and stage Ⅰ of pneumoconiosis) of coal workers' pneumoconiosis (CWP) from digital chest radiography (DR) . Methods: A total of 1225 DR images of coal workers who were examined at an Occupational Disease Prevention and Control Institute in Anhui Province from October 2018 to March 2021 were retrospectively collected. All DR images were collectively diagnosed by 3 radiologists with diagnostic qualifications and gave diagnostic results. There were 692 DR images with small opacity profusion 0/- or 0/0 and 533 DR images with small opacity profusion 0/1 to stage Ⅲ of pneumoconiosis. The original chest radiographs were preprocessed differently to generate four datasets, namely 16-bit grayscale original image set (Origin16), 8-bit grayscale original image set (Origin 8), 16-bit grayscale histogram equalized image set (HE16) and 8-bit grayscale histogram equalized image set (HE8). The light-weighted CNN, ShuffleNet, was applied to train the generated prediction model on the four datasets separately. The performance of the four models for pneumoconiosis prediction was evaluated on a test set containing 130 DR images using measures such as the receiver operating characteristic (ROC) curve, accuracy, sensitivity, specificity, and Youden index. The Kappa consistency test was used to compare the agreement between the model predictions and the physician diagnosed pneumoconiosis results. Results: Origin16 model achieved the highest ROC area under the curve (AUC=0.958), accuracy (92.3%), specificity (92.9%), and Youden index (0.8452) for predicting pneumoconiosis, with a sensitivity of 91.7%. And the highest consistency between identification and physician diagnosis was observed for Origin16 model (Kappa value was 0.845, 95%CI: 0.753-0.937, P<0.001). HE16 model had the highest sensitivity (98.3%) . Conclusion: The light-weighted CNN ShuffleNet model can efficiently identify the early stages of CWP, and its application in the early screening of CWP can effectively improve physicians' work efficiency.

[Analysis of the burden of coal worker's pneumoconiosis disease in a mining group].

Objective: To provide scientific basis for the prevention and control of pneumoconiosis and the formulation of relevant policies, this paper discusses the loss of health life and economic loss caused by coal worker's pneumoconiosis in a mining group. Methods: From March to October 2017, 1262 cases of coal worker's pneumoconiosis were diagnosed in a mining group from 1972 to 2013. The direct and indirect economic losses are calculated by the step-by-step model method. Direct economic losses include medical expenses, one-time disability allowance, disability allowance, funeral allowance, one-time work death allowance, living and nursing expenses, food allowance, pension for supporting relatives and transportation expenses, etc. Indirect economic losses includes loss of social productivity, additional training fee for new employees, transportation fee for accompanying family members, loss of social productivity of accompanying family members, loss of production suspension and production reduction, etc. Life table method was used to calculate the loss of social productivity caused by coal worker's pneumoconiosis. Results: All 1262 coal worker's pneumoconiosis patients were male. In the stage of pneumoconiosis, 95.40% (1204/1262) of the first stage of pneumoconiosis and 42.62% (538/1262) of the seventh stage of disability. The age of diagnosis (22.02-71.33) was 47.38 years on average. 1262 coal worker's pneumoconiosis patients caused a total of 9068.54 years of health life loss, of which YLD accounted for 93.56% (8484.69/9068.54) . The loss of YLD (0.06-33.30) years in 1262 coal worker's pneumoconiosis patients was 6.70 years per capita. The total economic loss of 1262 coal workers with pneumoconiosis was 2842185447.70 yuan, with a per capita of 2252127.93 yuan. The direct economic loss accounted for 81.59% (2318990168.46/2842185447.70) , which was 4.42 times of the indirect economic loss. Among the direct economic loss per capita, medical expenses accounted for a large proportion of 50.04% (919510.84/1837551.64) . The per capita indirect economic loss is 414576.29 yuan. The loss of social productivity accounted for 56.18% (232908.95/414576.29) . Conclusion: Coal worker's pneumoconiosis causes heavy economic burden and serious loss of social productivity.

[Comprehensive rehabilitation of individualized exercise program for coal workers pneumoconiosis in Huaibei Coal Mine Group].

Objective: To explore the effect of comprehensive rehabilitation treatment of individualized exercise program on lung function, exercise ability, quality of life and biochemical indexes of coal workers' pneumoconiosis patients, and to provide scientific and effective methods for rehabilitation treatment of coal workers' pneumoconiosis. Methods: In Huaibei Coal Mine Occupational Disease Prevention and Control Hospital, the data of pneumoconiosis patients treated by pneumoconiosis department in the hospital were collected and sorted out. 80 patients were selected according to the inclusion and exclusion criteria. Using a random number table, they were randomly divided into two groups with 40 cases in each group. The data investigated in this study include the results before and after treatment. Pulmonary function index, BMI index, six-minute walking distance (6MWD) , quality of life questionnaire (SF-36) , hospital anxiety and depression scale (HADS) , st George's breathing questionnaire (sgrq) , c-reactive protein (CRP) and blood oxygen saturation (SpO(2)) were used to evaluate and compare the efficacy of the two groups. Results: The lung function indexes of the test group were significantly higher than those of the control group after treatment (P<0.05) , including forced vital capacity, forced vital capacity in the first second, maximum expiratory flow, expiratory flow when vital capacity was 75% and expiratory flow when vital capacity was 25%. The forced vital capacity, the first-second forced vital capacity and the maximum expiratory flow of the patients in the test group were higher after treatment than before (P<0.05) . The six-minute walking distance of the test group was greater than that of the control group after treatment (P<0.05) . After treatment, the scores of st George's breathing questionnaire in the test group were lower than those in the control group (P<0.05) . The scores of quality of life questionnaire in the test group were higher than those in the control group after treatment (P<0.05) . Conclusion: The comprehensive rehabilitation treatment of individualized exercise program improved the endurance and exercise ability of pneumoconiosis patients, improved the respiratory status and quality of life of pneumoconiosis patients in Huaibei Coal Mine, improved the lung function of pneumoconiosis patients, and improved the forced vital capacity of patients, but the small airway function has not been significantly improved.