The Application Value of High Resolution CT Scan in Increase the Diagnosis of Bronchiectasis Sensitivity, Accuracy
Author:XIAO Fei-ying
affiliation: Department of Radiology, Zhongshan Boai Hospital of Zhongshan, Guangdong 528403
PDFAbstract
Objective To discuss the application value of high resolution CT scan in increase the diagnosis of bronchiectasis sensitivity, accuracy. Methods 60 patients with bronchiectasis were selected from January 2010 to June 2014 in our Hospitals, according to the random distribution, all patients were divided into CT group and high CT group, based on the expansion of CT pulmonary segments performance,all patients were divided into cylindrical type, cystic type, mixed type and varicose, CT group was given conventional CT scanning, high CT group was given high resolution CT scan, analysed all patients’ CT manifestation,and used ROC curve analysis to analysis two kinds of CT scanning of value in the differential diagnosis of bronchiectasis. Results High CT group Bronchiectasis detection rate was obviously higher than CT group, the difference was statistically significant (P<0.05); High CT group to identify high columnar type, cystic type, mixed type and varicose bronchiectasis accuracy rate was significantly higher than CT group(P < 0.05); ROC curve results showed that, CT scan differential diagnosis of bronchiectasis sensitivity of 81.26%, specificity of 78.69%, the accuracy of 84.56%, high resolution CT scan differential diagnosis of bronchiectasis sensitivity of 89.12%, specificity of 86.24%, the accuracy of 95.28%. Conclusions High resolution CT scan can effectively improve the accuracy in the detection rate and the identification of bronchiectasis disease type, in the differential diagnosis of bronchiectasis with higher sensitivity and accuracy,it’s worth for further clinical promotion.
【Keyword】High Resolution CT Scan; Bronchiectasis; Diagnosis
【Chart number】R562.2+2
【Document Identification Number】A
【DOI】10.3969/j.issn.1009-3257.2015.04.005
Journal of Rare Diseases
th22Volume, th 4 Issue
2019Year11Month
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