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The classic ultrasonographic differentiation between benign and malignant adnexal masses encounters several limitations. Ultrasonography-based texture analysis (USTA) offers a new perspective, but its role has been incompletely evaluated. This study aimed to further investigate USTA's capacity in differentiating benign from malignant adnexal tumors, as well as comparing the workflow and the results with previously-published research. A total of 123 adnexal lesions (benign, 88; malignant, 35) were retrospectively included. The USTA was performed on dedicated software. By applying three reduction techniques, 23 features with the highest discriminatory potential were selected. The features' ability to identify ovarian malignancies was evaluated through univariate, multivariate, and receiver operating characteristics analyses, and also by the use of the k-nearest neighbor (KNN) classifier. Three parameters were independent predictors for ovarian neoplasms (sum variance, and two variations of the sum of squares). Benign and malignant lesions were differentiated with 90.48% sensitivity and 93.1% specificity by the prediction model (which included the three independent predictors), and with 71.43-80% sensitivity and 87.5-89.77% specificity by the KNN classifier. The USTA shows statistically significant differences between the textures of the two groups, but it is unclear whether the parameters can reflect the true histopathological characteristics of adnexal lesions.

Pathological analysis of ovarian cysts shows specific fluid characteristics that cannot be standardly evaluated on computer tomography (CT) examinations. This study aimed to assess the ovarian cysts' fluid attenuation values on the native (Np), arterial (Ap), and venous (Vp) contrast phases of seventy patients with ovarian cysts who underwent CT examinations and were retrospectively included in this study. Patients were divided according to their final diagnosis into the benign group ( n = 32) and malignant group ( n = 38; of which 27 were primary and 11 were secondary lesions). Two radiologists measured the fluid attenuation values on each contrast phase, and the average values were used to discriminate between benign and malignant groups and primary tumors and metastases via univariate, multivariate, multiple regression, and receiver operating characteristics analyses. The Ap densities ( p = 0.0002) were independently associated with malignant cysts. Based on the densities measured on all three phases, neoplastic lesions could be diagnosed with 89.47% sensitivity and 62.5% specificity. The Np densities ( p = 0.0005) were able to identify metastases with 90.91% sensitivity and 70.37% specificity, while the combined densities of all three phases diagnosed secondary lesions with 72.73% sensitivity and 92.59% specificity. The ovarian cysts' fluid densities could function as an adjuvant criterion to the classic CT evaluation of ovarian cysts.

Background and Aim: Preeclampsia remains a major problem of modern obstetrics with insufficiently elucidated etiology; early detection would diminish maternal and fetal mortality and morbidity. The aim of this study was to determine the serum values of β-hCG in the first and second trimesters of pregnancy and PAPP-A values in the first trimester of pregnancy in pregnant women with risk factors for preeclampsia, in order to evaluate their relevance in the prediction of this disorder., Material and Methods: We performed a prospective longitudinal study on 120 pregnant women divided into two groups according to the evolution of pregnancy: group I - 26 pregnant women who developed preeclampsia and group II - 94 pregnant women who did not develop preeclampsia and had a physiological evolution of pregnancy., Results: Our results indicate the association between high β-hCG levels in the first and second trimesters of pregnancy and the development of PE, β-hCG having the highest predictive power in the second trimester. We also obtained a positive association between low serum levels in PAPP-A in the first trimester and onset of PE. The predictive power of conjugated β-hCG and PAPP-A values in the first trimester of pregnancy was better that any other marker analyzed separately., Conclusions: Increased β-hCG levels in the first and second trimesters of pregnancy and low PAPP-A levels in the second trimester of pregnancy are associated with a higher risk for PE, the study providing only a modest efficiency of the prediction capacity.