The pre-operative characterization of ovarian cysts remains a major challenge. Functional
cysts and some other benign cysts should be managed conservatively, whereas persistent …

Background Accurate methods to preoperatively characterize adnexal tumors are pivotal for
optimal patient management. A recent metaanalysis concluded that the International …

Introduction: Preoperative characterisation of ovarian masses into benign or malignant is of
paramount importance to optimise patient management. Objectives: In this study, we …

Purpose: To prospectively test the mathematical models for calculation of the risk of
malignancy in adnexal masses that were developed on the International Ovarian Tumor …

To discriminate ovarian lesions is of particular importance in gynecological practice. Two
main problems need answers: discrimination of benign and malignant adnexal masses and …

Aim This study aimed to compare different ultrasound-based International Ovarian Tumor
Analysis (IOTA) prediction models, namely, the Simple Rules (SRs) the Assessment of …

Ovarian cancer, the fifth most common cause of cancer death among women, has the
highest mortality rate of all gynecologic cancers. General survival rate is< 50% but can reach …

Objectives The aims of the study were to temporally and externally validate the diagnostic
performance of two logistic regression models containing clinical and ultrasound variables …

The use of grey-scale ultrasound morphology to characterize a pelvic mass may also be
called 'pattern recognition'. The grey-scale ultrasound image provides us with the same …

Objective To generate a neural network algorithm which computes a probability of
malignancy score for pre‐operative discrimination between malignant and benign adnexal …