Status:
UNKNOWN
Assessment of Ovarian Cysts Using Machine Learning
Lead Sponsor:
Assiut University
Conditions:
Ovarian Cyst
Eligibility:
FEMALE
15-80 years
Brief Summary
The study aims at creating a prediction model using machine learning algorithms that is capable of predicting malignant potential of ovarian cysts/masses based on patient characteristics, sonographic ...
Detailed Description
Ovarian cysts are one of the most common gynecologic disorders encountered in clinical practice. Approximately 20% of women may experience ovarian cysts at least once in their lifetime. However, incid...
Eligibility Criteria
Inclusion
- Females who are postmenarchal, have documented follow-up for at least 1 year following initial presentation unless surgically managed, and provide authorization to use their medical records for research purposes. They should have received their care in the receptive centers
Exclusion
- Women will be excluded from the study if they were admitted for an acute event including cyst torsion, rupture or hemorrhage with no prior documentation of ovarian cysts. Women with cysts smaller than 3 cm will not be eligible.
Key Trial Info
Start Date :
October 1 2022
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
September 1 2023
Estimated Enrollment :
1000 Patients enrolled
Trial Details
Trial ID
NCT05342298
Start Date
October 1 2022
End Date
September 1 2023
Last Update
August 23 2022
Active Locations (2)
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1
Alexandria University Main Hospital
Alexandria, Egypt, 21516
2
Assiut University
Asyut, Egypt, 71511