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Prediction Models of Adnexal Masses: State-of-the-Art Review
- Source :
- Obstetricalgynecological survey. 76(4)
- Publication Year :
- 2021
-
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. Objective The aim of this study was to describe, compare, and prioritize, according to their strengths and qualities, all the adnexal prediction models. Evidence acquisition This was a state-of-the-art review, synthesizing the findings of the current published literature on the available prediction models of adnexal masses. Results The existing models include subjective assessment by expert sonographers, the International Ovarian Tumor Analysis models (logistic regression models 1 and 2, Simple Rules, 3-step strategy, and ADNEX [Assessment of Different NEoplasias in the adneXa] model), the Risk of Malignancy Index, the Risk of Malignancy Ovarian Algorithm, the Gynecologic Imaging Reporting and Data System, and the Ovarian-Adnexal Reporting and Data System. Overall, subjective assessment appears to be superior to all prediction models. However, the International Ovarian Tumor Analysis models are probably the best available methods for nonexpert examiners. The Ovarian-Adnexal Reporting and Data System is an international approach that incorporates both the common European and North American approaches, but still needs to be validated. Conclusions Many prediction models exist for the assessment of adnexal masses. The adoption of a particular model is based on local guidelines, as well as sonographer's experience. The safety of expectant management of adnexal masses with benign ultrasound morphology is still under investigation.
- Subjects :
- medicine.medical_specialty
Risk of malignancy
MEDLINE
Patient characteristics
Logistic regression
Risk Assessment
Sensitivity and Specificity
Diagnosis, Differential
03 medical and health sciences
Ovarian tumor
0302 clinical medicine
Pregnancy
Clinical Decision Rules
medicine
Humans
Medical physics
030212 general & internal medicine
Diagnostic Techniques, Obstetrical and Gynecological
Ovarian Neoplasms
030219 obstetrics & reproductive medicine
business.industry
Obstetrics and Gynecology
General Medicine
State of the art review
Obstetrics
Gynecology
Adnexal Diseases
Sonographer
Female
business
Predictive modelling
Algorithms
Subjects
Details
- ISSN :
- 15339866
- Volume :
- 76
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Obstetricalgynecological survey
- Accession number :
- edsair.doi.dedup.....f73f2e9837e02d18bf8f4954d8240ed5