Prediction Models of Adnexal Masses: State-of-the-Art Review.
Title | Prediction Models of Adnexal Masses: State-of-the-Art Review. |
Publication Type | Journal Article |
Year of Publication | 2021 |
Authors | Mina, M., Kosmas I., Tsakiridis I., Mamopoulos A., Kalogiannidis I., Athanasiadis A., & Dagklis T. |
Journal | Obstet Gynecol Surv |
Volume | 76 |
Issue | 4 |
Pagination | 211-222 |
Date Published | 2021 Apr |
ISSN | 1533-9866 |
Keywords | Adnexal Diseases, Algorithms, Clinical Decision Rules, Diagnosis, Differential, Diagnostic Techniques, Obstetrical and Gynecological, Female, Gynecology, Humans, Obstetrics, Ovarian Neoplasms, Pregnancy, Risk Assessment, Sensitivity and Specificity |
Abstract | IMPORTANCE: Several predictive models and scoring systems have been developed to differentiate between benign and malignant ovarian masses, in order to guide effective management. These models use combinations of patient characteristics, ultrasound markers, and biochemical markers. |
DOI | 10.1097/OGX.0000000000000873 |
Alternate Journal | Obstet Gynecol Surv |
PubMed ID | 33908613 |