This trial has been completed.

Condition automated folliculometry using five-dimensional ultrasound
Sponsor Ain Shams University
Start date December 2015
End date August 2016
Trial size 72 participants
Trial identifier NCT02642575, 5D Folliculometry


The aim of the study to evaluate Five-Dimensional Ultrasound in automated measurement of ovarian follicles with controlled ovarian stimulation in contrast to the conventional 2D ultrasound

United States No locations recruiting
Other countries No locations recruiting

Study Design

Observational model cohort
Time perspective prospective

Primary Outcomes

folliculometry by Two-Dimensional Ultrasound and Five-Dimensional Ultrasound
time frame: 10 months

Eligibility Criteria

Female participants from 18 years up to 38 years old.

Inclusion Criteria: - all women between 25 to 35 years of age - all women have a normal body mass index(18-25kg/M^2) - regular menstrual cycles - all women would be receiving ovarian stimulation using clomiphene citrate (clomid 50 mg) for ≥5 days starting from 5th day of the cycle then they will be scanned by the same physician using 2D U/S then 5D U/S Exclusion Criteria: 1. medical disorders 2. obesity. BMI>30

Additional Information

Official title Automated Folliculometry Using Five-Dimensional Ultrasound
Description This is a Prospective pilot study that will be performed at the Fetal Care Unit at Ain Shams University Maternity Hospital. 72 women will be recruited from the the Fetal Care Unit who will fulfill the inclusion criteria. They will be counseled to be included into the study. All cases will be subjected to: full history taking including patient's age, parity,last menstrual period , past history of medical disorders, clinical examinations (General and abdominal). Two-Dimensional Ultrasound and Five-Dimensional Ultrasound will be done for all cases for assessment of ovarian follicles after controlled ovarian stimulation by clomid 50 mg5×2×1 The automated software allows for automated three-dimensional follicular measurement.The software then analyzes the volume and automatically identifies all of the follicles in the ovary. The software also automatically generates several volumetric parameters of each and every identified follicle.
Trial information was received from ClinicalTrials.gov and was last updated in November 2016.
Information provided to ClinicalTrials.gov by Ain Shams University.