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find Author "SHEN Jiang" 1 results
  • Dominant distribution and pathological basis of thin layer 16-slice spiral CT signs of coal workers’ pneumoconiosis

    Objective To clarify the thin-layer 16-slice spiral CT features of coal worker’s pneumoconiosis and the superior distribution of comorbidities in their staging and lobes and lung field anatomy. Methods Sixty-six patients with coal worker's pneumoconiosis diagnosed by the pneumoconiosis diagnosis and identification group from October 2014 to March 2015 were enrolled. All patients underwent 16-slice spiral CT and thin-layer CT reconstruction with a thickness of 1.5 mm. The thin-slice CT signs and comorbidities of coal workers’ pneumoconiosis were observed, and the superior distribution of CT signs in patients at different stage and different lobes and lung field anatomy were evaluated. Results There were 16 cases of irregular small nodules in the lungs, 22 cases of large shadow fusion, 18 cases of intraocular shadow calcification, 41 cases of emphysema, 21 cases of pulmonary bullae, 21 cases of pulmonary hypertension, and 31 cases of enlarged lymph nodes in the mediastinum and calcified. The above signs were mostly distributed in stage Ⅲ pneumoconiosis (P<0.05). There were 32 cases of regular small nodules, which were mostly distributed in stage Ⅰ pneumoconiosis. In the 16 cases of irregular small nodules, the advantage was distributed in the middle and outer lobes of the double lungs. In the 22 cases of large shadow fusion, the advantage was distributed in the upper and lower lobe of the lungs. In the 16 cases of tuberculosis, the advantage was distributed in the upper lobe of the lungs. In the 21 cases of bullous bullae, the advantage was distributed in the upper lobe of the two lungs, mostly in the right upper lung. Conclusion The thin 16-slice spiral CT signs of coal worker’s pneumoconiosis can reflect the pathological changes, and have a certain correlation with the stage of pneumoconiosis, and have obvious characteristics in the anatomical distribution of lung and lung fields.

    Release date:2019-01-23 01:20 Export PDF Favorites Scan
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