Convolutional Neural Network in Ovarian Follicle Identification

Status unconfirmed

Conditions studied: Infertility, Female, Ovarian Follicular Cyst

In brief

A prospective cohort trial studying patients with infertility undergoing an ovarian stimulation with exogenous gonadotropins. Ovarian monitoring will be performed with a combination of transvaginal ultrasound and 2 dimensional human measurements of the follicle development on the right and left ovaries along with SonoAVC. Human and SonoAVC measurements will then be compared to mask region-based convolutional neural network in follicle identification and measurement during during the ovarian stimulation.

Key facts

Study ID

NCT04545918

Run by

Cycle Clarity

People needed

80

Starts

2021-02-01

Expected to finish

2021-05-20

Last updated by the study team

2021-05-07

Who can join

Age: 21 and older, up to 42. Sex: female. Healthy volunteers: not accepted.

You may qualify if…

• Infertile women ages 21-42 years old undergoing ovarian hyperstimulation as part of the treatment care.
• Women with at least one ovary visible with transvaginal ultrasound. Women with at least one follicle 10 mm or greater in average diameter.

You may not qualify if…

• Women less than 21 years of age or greater than 42 years of age. Women without a visible ovary by transvaginal ultrasound. Women without a follicle at least 10 mm in average diameter

Where it is running

• Coastal Fertility Specialists — Mt. Pleasant, South Carolina, United States (enrolling)

Full record on ClinicalTrials.gov

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