[Characteristics of XXXX with color Doppler sonography: a comparison of predictive models derived from two academic centers data].

@entity43 @entity1 @entity843 @entity5
OBJECTIVE: To construct and cross-validate logistic regression models used for the prediction of @entity43 in two groups of @entity1 with @entity5 . MATERIALS AND METHODS: Preoperative clinical, gray-scale and color Doppler ultrasound data of 307 @entity1 treated in the Ist Dept of Gynecology of the Medical University in Lublin (group I) and 464 of @entity1 treated in the Dept of Surgical Gynecology, Medical University in Poznan (group II) were analyzed retrospectively. These data were used to construct predictive models which were developed for both groups separately and then cross-validated (12 cases in each group, six malignant and 6 benign) between the groups. Multiple logistic regression analysis was chosen to calculate probability of @entity5 in each examined mass. RESULTS: There were 228 (74.2%) @entity5 and 79 (25.7%) @entity5 in group I. Group II consisted of 299 (64.4%) @entity5 and 165 (35.6%) malignant masses. Only six variables were included in the logistic regression model in group I. These were age, bilaterality, septae, papillary projections, volume and color score. In group II there were also 6 variables included in the regression model (menopausal status, septae, bilaterality, @entity843 , blood vessel localization and PI). At 50% probability of @entity5 the model constructed for group I had a sensitivity and specificity of 74.6% i 94.7%, respectively. At the same probability level in group II sensitivity and specificity were 86.1% i 93.6%, respectively. Cross-validation of the predictive model constructed for group I in randomly selected cases from group II had sensitivity of 66.4% and specificity of 79.2%. Sensitivity and specificity of the group II model tested in cases from group I were 64.3% and 75.2%, respectively. CONCLUSIONS: We conclude that predictive models created with the use of multiple logistic regression analysis may be useful in preoperative discrimination of @entity5 . However, much better definition of diagnostic criteria, especially color Doppler score must be achieved before these models could be widely used in clinical practice.
