A New Tool for Automatic Ovarian Follicle Count and it Abilities to Evaluate Ovarian Reserve

NCT ID: NCT01480115

Last Updated: 2013-03-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

UNKNOWN

Total Enrollment

50 participants

Study Classification

OBSERVATIONAL

Study Start Date

2013-04-30

Study Completion Date

2013-11-30

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The ultrasound unit in Meir Medical Center developed new software to automated ovarian follicle count on the basis of 3D US. The investigators intent to evaluate this software at two steps:

* To compared the abilities of the software to physician follicle count.
* To evaluate with the software the antral follicle count, as expression to ovarian reserve at 3 different time of the month.

The investigators believe that the software measurement of the small follicle can be better than the common antral follicle count that is use today, and by this accurate evaluation of the small follicle the investigators can evaluate the ovarian reserve at any time of the mount, and not only at the early follicular phase that use today.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Antral follicle count (AFC) is one of the methods to evaluate ovarian reserve. But this method is not that straightforward with a lot of inter and intra observe variation. In attempt to overcome this problems we going the verified a new software for automated AFC.

At the first step we will compare the human count and the software count of the AFC in 150 exams of ovaries at 3D US.

At the second step we will use the software to evaluate ovarian reserve at 50 women before fertility treatment. This woman will be questioned about epidemiologic data (age, ethnicity, medical history) and evaluate at the early follicular phase with blood test for follicle stimulating hormone, luteinizing hormone , E2, anti-mullerian hormone , Prolactin, thyroid-stimulating hormone, Testosterone, Progesterone, 17-hydroxyprogesterone, dehydroepiandrosterone-Sulphate. The evaluation of the AFC by US will be at early follicular phase, late follicular phase and mid luteal phase

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Infertility

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.

ultrasound examination for AFC evaluation

Ultrasound examination three times during the menstrual cycle to measure the AFC.

Intervention Type OTHER

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* woman under age 40 years all
* woman at evaluation before beginning of fertility treatment
* woman with regular menstrual cycle

Exclusion Criteria

* woman who treat with ovulation induction
Minimum Eligible Age

18 Years

Maximum Eligible Age

40 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Meir Medical Center

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Roni Tepper, professor

Role: STUDY_DIRECTOR

Meir Medical Center Israel

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Fertility unit, Meir Medical Center, Israel

Kfar Saba, , Israel

Site Status

Countries

Review the countries where the study has at least one active or historical site.

Israel

Central Contacts

Reach out to these primary contacts for questions about participation or study logistics.

Roni Tepper, professor

Role: CONTACT

972-9-7472871

Merav Sharvit, doctor

Role: CONTACT

972-9-7472871

References

Explore related publications, articles, or registry entries linked to this study.

Hendriks DJ, Mol BW, Bancsi LF, Te Velde ER, Broekmans FJ. Antral follicle count in the prediction of poor ovarian response and pregnancy after in vitro fertilization: a meta-analysis and comparison with basal follicle-stimulating hormone level. Fertil Steril. 2005 Feb;83(2):291-301. doi: 10.1016/j.fertnstert.2004.10.011.

Reference Type BACKGROUND
PMID: 15705365 (View on PubMed)

Hendriks DJ, Kwee J, Mol BW, te Velde ER, Broekmans FJ. Ultrasonography as a tool for the prediction of outcome in IVF patients: a comparative meta-analysis of ovarian volume and antral follicle count. Fertil Steril. 2007 Apr;87(4):764-75. doi: 10.1016/j.fertnstert.2006.11.006. Epub 2007 Jan 18.

Reference Type BACKGROUND
PMID: 17239869 (View on PubMed)

Raine-Fenning N, Jayaprakasan K, Clewes J. Automated follicle tracking facilitates standardization and may improve work flow. Ultrasound Obstet Gynecol. 2007 Dec;30(7):1015-8. doi: 10.1002/uog.5222. No abstract available.

Reference Type BACKGROUND
PMID: 18044823 (View on PubMed)

Styer AK, Toth TL. Antral follicle count in clinical practice: building the bridge from ovarian reserve to in vitro fertilization outcome. Fertil Steril. 2011 Feb;95(2):480-1; discussion 484-5. doi: 10.1016/j.fertnstert.2010.11.054. Epub 2010 Dec 23.

Reference Type BACKGROUND
PMID: 21183169 (View on PubMed)

Hsu A, Arny M, Knee AB, Bell C, Cook E, Novak AL, Grow DR. Antral follicle count in clinical practice: analyzing clinical relevance. Fertil Steril. 2011 Feb;95(2):474-9. doi: 10.1016/j.fertnstert.2010.03.023.

Reference Type BACKGROUND
PMID: 20434151 (View on PubMed)

Olivennes F, Howies CM, Borini A, Germond M, Trew G, Wikland M, Zegers-Hochschild F, Saunders H, Alam V. Individualizing FSH dose for assisted reproduction using a novel algorithm: the CONSORT study. Reprod Biomed Online. 2011 Feb;22 Suppl 1:S73-82. doi: 10.1016/S1472-6483(11)60012-6.

Reference Type BACKGROUND
PMID: 21575853 (View on PubMed)

Al-Azemi M, Killick SR, Duffy S, Pye C, Refaat B, Hill N, Ledger W. Multi-marker assessment of ovarian reserve predicts oocyte yield after ovulation induction. Hum Reprod. 2011 Feb;26(2):414-22. doi: 10.1093/humrep/deq339. Epub 2010 Dec 8.

Reference Type BACKGROUND
PMID: 21147822 (View on PubMed)

Deb S, Jayaprakasan K, Campbell BK, Clewes JS, Johnson IR, Raine-Fenning NJ. Intraobserver and interobserver reliability of automated antral follicle counts made using three-dimensional ultrasound and SonoAVC. Ultrasound Obstet Gynecol. 2009 Apr;33(4):477-83. doi: 10.1002/uog.6310.

Reference Type BACKGROUND
PMID: 19212944 (View on PubMed)

Murtinger M, Aburumieh A, Rubner P, Eichel V, Zech MH, Zech NH. Improved monitoring of ovarian stimulation using 3D transvaginal ultrasound plus automated volume count. Reprod Biomed Online. 2009 Nov;19(5):695-9. doi: 10.1016/j.rbmo.2009.09.008.

Reference Type BACKGROUND
PMID: 20021717 (View on PubMed)

Raine-Fenning N, Jayaprakasan K, Deb S, Clewes J, Joergner I, Dehghani Bonaki S, Johnson I. Automated follicle tracking improves measurement reliability in patients undergoing ovarian stimulation. Reprod Biomed Online. 2009 May;18(5):658-63. doi: 10.1016/s1472-6483(10)60010-7.

Reference Type BACKGROUND
PMID: 19549444 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

MMC11102-11CTLI

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.