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Ultrasound Study by Texturization as a Predictor of Pregnancy in Oocyte Donation Programs (TEXTUGEST)

I

IVI Sevilla

Status

Withdrawn

Conditions

Infertility

Treatments

Other: Ultrasound texturization

Study type

Observational

Funder types

Other

Identifiers

NCT03507322
1605-SEV-034-IR

Details and patient eligibility

About

This study is focused on analysing the application of ultrasound scanning techniques as new biomarkers in reproductive medicine. Those biomarkers are based on the analysis of ultrasound texture in different areas of uterine tissue, using 2D/3D ultrasound scanning. Investigators will use the algorithm Text® to analyse the ultrasound texture of the endometrium and myometrium. The aim of the project is to study if it is possible to obtain measurable, objective and reproducible data in healthy volunteers which can be used to predict pregnancy and determine the best moment to perform embryo transfer in assisted reproductive technology (ART) cycles

Sex

Female

Ages

18 to 49 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Body mass index (BMI) between 18 and 30 kg/m2
  • Not taking the contraceptive pill in a previous cycle
  • Non-pregnant: beta human chorionic gonadotropin (HCG) test with negative result at the beginning of the study)
  • No previous history of inflammatory diseases, circulatory diseases, abdomen or pelvic diseases
  • Physical gynecological exploration without pathological findings
  • Gynecological ultrasound study of the uterus with a normal result

Exclusion criteria

  • Ultrasound studies with technical defects in image acquisition
  • Simultaneous participation in other studies
  • Previous participation in other study which can affect the results of the present study

Trial design

0 participants in 1 patient group

Ultrasound texturization
Description:
Application of ultrasound texturization (2D/3D ultrasound scanning)
Treatment:
Other: Ultrasound texturization

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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