Optimization of the algorithm for diagnosing ovarian tumors using ultrasonic elastography
As far as the rate of ovarian cancer has grown as well as the rate of its mortality, developing new diagnostic techniques for revealing ovarian cancer is an extremely actual task. The aim of the study was to evaluate the possibilities of elastography, which allows estimating the density and elasticity of the tissues, and the location of sonoelastography in the diagnostic algorithm of ovarian tumors. 261 patients with ovarian tumors were examined. The inclusion of sonoelastography in a comprehensive algorithm for diagnosis of ovarian tumors increased the sensitivity of the ultrasound method in detecting ovarian cancer from 71.2% to 93.1%, specificity from 93.2% to 94.4%, accuracy from 85.5% to 94%. As a result of the this study it was concluded that the method of sonoelastography is important in the differential diagnosis of benign and malignant ovarian tumors. It is an additional refinement technique that provides information on the formation density previously unavailable in a conventional ultrasound study. In connection with the high information value of sonoelastography, it is necessary to include this technique in a comprehensive examination of women with suspected ovarian cancer.