OBJECTIVETo evaluate the feasibility of direct digital radiography (DDR) in the diagnosis of asbestosis, and to analyze the difference and similarity between DDR and film-screen radiography (FSR) in terms of the radiographic features of asbestosis.

METHODSA total of 60 cases of asbestosis underwent FSR and DDR of the chest in the same day. The FSR and DDR findings were compared with respect to shapes and profusion of small opacities, pleural abnormality, and diagnostic stages.

RESULTSThe patients showed "s", "t", and "p" small opacities on chest images, with irregular "s" and "t" ones predominating (FSR: 95.0%; DDR: 91.7%). The small opacities were widely distributed in six lung zones, especially in middle and lower zones. The shapes and distribution of small opacities did not differ significantly between FSR and DDR findings (P > 0.05). For all the 60 cases, the two radiographies demonstrated a concordance rate of 64.2% (231/360) for the profusion of small opacities in lung zones (κ = 0.62, 95%CI: 0.54 ∼ 0.69), and for the 43 cases (258 lung zones) who displayed identical small opacity shapes on the two radiographies, the concordance rate was 81.0% (209/258) (κ = 0.79, 95%CI: 0.72 ∼ 0.87). FSR revealed 10 cases (16.7%) of pleural thickening, compared to 12 cases (20.0%) on DDR (P > 0.05). FSR revealed 53 cases (88.3%) of stage I asbestosis and 7 cases (11.7%) of stage II asbestosis, compared to 51 cases (85.0%) and 9 cases (15.0%) on DDR (P > 0.05). There was no significant difference in diagnostic stages between the two radiographies (P > 0.05), demonstrating a concordance rate of 93.3% (56/60) (κ = 0.71, 95%CI: 0.45 ∼ 0.98).

CONCLUSIONDDR is similar to FSR in determining the shapes, distribution, and profusion of small opacities, pleural abnormality, and diagnostic stages.

Aged ; Aged, 80 and over ; Asbestosis ; diagnostic imaging ; Female ; Humans ; Male ; Middle Aged ; Radiographic Image Enhancement ; Radiography, Thoracic ; methods

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.
Aged ; Asbestos/adverse effects* ; Asbestosis/diagnostic imaging* ; Female ; Humans ; Lung ; Middle Aged ; Pleural Diseases/chemically induced* ; Tomography, X-Ray Computed/methods*