VIRTUAL BRONCHOSCOPY IN THE DIAGNOSIS OF LUNG CANCER
Abstract
VB data analyzed 46 patients with lung cancer in 29 (63%) which was central, 12 (26%), peripheral and 5 (10.86%) peripheral with centralization. The study was conducted on 320-slise MDCT Toshiba’s Aquilion ONE’s with high resolution lung scan protocol and processed on a workstation with a program Vitrea FX 2.0. The sensitivity and specificity of the VB in determining tumor pathology of the trachea, intrabronchial changes were respectively 91,5 and 90%, similar to the data for the native MDCT were 81 and 91%. When combined analysis of VB data and MSCT sensitivity and specificity increased to 95,3 and 96,5%. Using the methods of obtaining the macrostructure tracheobronchial tree through image processing and receiving virtual bronchoscopy, the minimum intensity images, 3D images in a shaded and semi-permeable surfaces can significantly enhance the ability of MDCT in determining the diagnosis of malignant lesions, the prevalence of lung cancer in the bronchi and trachea. VB gives a clear idea of the nature of the spread of cancer. VB data to be analyzed in conjunction with the results of MPR and axial slices MDCT, which extends the capabilities of MDCT in the visual assessment of the tracheobronchial tree in cases of tumors, increases the sensitivity and specificity of CT data.
About the Author
P. M. Kotlayrov
Federal State Budget Establishment Russian Scientific Center of Roentgenoradiology (RSCRR) of Ministry of Health and Social Development of Russian Federation
Russian Federation
Russian Federation
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For citations:
Kotlayrov P.M. VIRTUAL BRONCHOSCOPY IN THE DIAGNOSIS OF LUNG CANCER. Diagnostic radiology and radiotherapy. 2015;(1):56-63. (In Russ.)
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