FIELD: medicine.
SUBSTANCE: invention refers to medicine, namely to ultrasonic diagnostics, and can be used for prediction of probability of thyroid cancer on the basis of sonoelastography. Ultrasonic elastometry is performed. During the study, the staining intensity (SI), determining presence or absence of differences in size of formations (SD), transverse wave (TW) velocity value in ARFI mode, presence or absence of staining in unit (SN), estimating homogeneity of staining of node (HS), Strain-ratio density ratio index (DI) is determined. Based on the obtained data, a prognostic coefficient of malignant probability of the node (PCpmn) is calculated as a classification value of the regression equation by formula: PCpmn=Con-SI×InV1-SD×InV2-PI×InV3+SN×InV4-HS×InV5+DI×InV6, where InV1 – (-3.16337); InV2 – (-0.057423); InV3 – (-1.59131); InV4 – 1.67772; InV5 – 1.67003; InV6 – 0.27886; Con – 313.6572; Con is constant for given set, SI is staining intensity (SI): 101 is intense, 102 is non-intensive; SD is difference in sizes of formations: 101 – presence, 102 – absence; TW is transverse wave velocity value in ARFI mode (m/s), SN is staining in the node: 101 – presence, 102 – absence; HS is homogeneity of the node staining: 101 is homogeneous, 102 is non-homogeneous; DI is the Strain-ratio density ratio index value. If the prognostic factor is more than or equal to 321.5972, a high probability of thyroid cancer is predicted. If less than 321.5972, low probability of thyroid cancer is predicted.
EFFECT: method provides determining a thyroid cancer risk by calculating a predictive confidant.
1 cl, 1 dwg, 1 tbl, 2 ex
