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A New Algorithm to Predict Ovarian Age

NCT02086318 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 720

Last updated 2016-12-08

No results posted yet for this study

Summary

To collect data of clinical, biochemical and 3D-ultrasonographic parameters of a population of fertile women aged 18-55 in order to design a new algorithm able to predict ovarian age and to evaluate the reliability of a multimodal diagnostic evaluation of ovarian age in term of both reproductive prognosis and distance to menopause following the guidelines of the Standards for Reporting of Diagnostic Accuracy initiative (STARD)

Conditions

  • Infertility
  • Polycystic Ovary Syndrome
  • Premature Ovarian Failure (POF)
  • Ovarian Cysts
  • Endometriosis

Interventions

OTHER

OvAge assessment

Basal serum anti-Mullerian hormone (AMH), Follicle-stimulating hormone (FSH) and Estradiol (E2), antral follicle count (AFC), ovarian volume, Vascularization Index (VI), Flow Index (FI) and Vascularization Flow Index (VFI) will be measured in all women between day 1 and day 4 of menstrual cycle. Evaluation can be repeated after every kind of intervention regarding ovaries, both medical or surgical. Evaluation can be repeated also at interval of 3-6-12 months in order to study the modification of ovarian age when time passes.

Sponsors & Collaborators

  • University Magna Graecia

    lead OTHER

Principal Investigators

  • Fulvio Zullo · Magna Graecia University of Catanzaro

  • Roberta Venturella, MD · Magna Graecia University of Catanzaro

Eligibility

Min Age
18 Years
Max Age
55 Years
Sex
FEMALE
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2012-01-31
Primary Completion
2018-06-30
Completion
2018-06-30

Countries

  • Italy

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02086318 on ClinicalTrials.gov