[Chest high-resolution CT features analysis in predicting the progression of asbestosis].

Objective: To analyze the radiological characteristics of chest high-resolution computed tomography (HRCT) of patients with asbestosis, and to investigate the signs of predicting the disease progression of asbestosis. Methods: A prospective method was used to enroll 68 patients with asbestosis who were regularly followed up from 2013 to 2016. The radiological characteristics of patients with asbestosis were described by the International Classification of HRCT for Occupational and Environmental Respiratory Diseases (ICOERD) , and the differences between patients with and without progression were compared during the observation period. The Cox proportional hazards regression model was used to analyze the chest HRCT radiological signs predicting the progression of asbestosis. Results: The study included 68 patients with asbestosis aged (65.5±7.8) years old, of which 64.7% (44/68) were female, 29.4% (20/68) had a history of smoking. There was no significant difference in age, sex, smoking and asbestos exposure between patients with progressive asbestosis (20.6%, 14/68) and patients without progressive asbestosis (79.4%, 54/68) (P>0.05) . Chest HRCT of patients with asbestosis showed irregular and/or linear opacities, of which 5.9% (4/68) were accompanied by honeycombing. Irregular and/or linear opacities were mainly lower lung preponderant, often accompanied with ground glass opacity and mosaic perfusion. 98.5% (67/68) had pleural abnormalities, of which 39.7% (27/68) had diffuse pleural thickening with parenchymal bands and/or rounded atelectasis. The analysis of multivariable Cox proportional hazard regression showed that the risk of the progression of asbestosis was increased with higher irregular and/or linears opacities cores (HR=1.184, 95%CI: 1.012-1.384, P=0.034) and the appearance of honeycombing (HR=6.488, 95%CI: 1.447-29.097, P=0.015) . Conclusion: The irregular and/or linear opacities scores and honeycombing on chest HRCT are independent influencing factors for predicting the disease progression of asbestosis.