Objective To explore the clinical value of CT threshold segmentation combined with pulmonary function in-dexes in the diagnosis of early coal worker's pneumoconiosis(CWP).Methods The clinical,pulmonary function and HRCT imaging data of 133 coal miners in the phase Ⅰ CWP group and 64 coal miners in the pneumoconiosis group diag-nosed by occupational disease prevention and control were retrospectively analyzed,and the lung volume ratio(％AA)and lung volume of≤-950 HU,-950 HU--700 HU,-700 HU--200 HU,and＞-200 HU,respectively,were obtained based on the density threshold segmentation method.Total lung volume(TLV),the differences in clinical data,pulmonary function indexes and quantitative parameters of HRCT between the two groups were compared,and meaningful indicators were included in multivariate analysis,and ROC curves were used to analyze their diagnostic value for early CWP.Results The results of multivariate logistic regression analysis showed that the dust exposure years,pulmonary function index MMEF and HRCT quantitative parameters％AA-700--200 were the independent influencing factors for the early occur-rence of CWP in coal mine dust exposure population(P＜0.05).The AUC of early CWP in the diagnosis of early CWP by the dust age combined with pulmonary function indexes MMEF and HRCT quantitative parameters％AA-700--200 and the dust exposure years and pulmonary function indexes combined with HRCT quantitative parameters were 0.945(95％CI:0.913-0.977),0.807(95％CI:0.747-0.867)and 0.931(95％CI:0.896-0.965),the final combined diagnosis of the three was significantly better than that of the single diagnosis(P＜0.05),and its sensitivity and specificity were 85.70％and 96.90％.Conclusion The age of dust exposure and pulmonary function index MMEF combined with HRCT quantitative parameter％AA-700--200 are of great significance for the diagnosis of early CWP.
Coal worker's pneumoconiosisHigh-resolution computed tomographyQuantitative analysisPulmonary function
NETL
NSTL
万方数据
