AI Cure is a research tool showing open data. Not medical advice. Discuss with your doctor. Terms

โ† Trials
๐Ÿงช

The Effect of Ultrasound Visual Feedback on Birth Outcomes in Nulliparous Women With Levator Ani Muscle Co-activation at Term Pregnancy

RecruitingNAAges 18 Years - anyFemaleIRCCS Azienda Ospedaliero-Universitaria di Bologna
๐Ÿ’ฌ

In plain words

What the trial is, and whether it could suit you

The study aims to evaluate the effect of ultrasound-based visual feedback training of the pelvic floor muscles in nulliparous women at term pregnancy who present co-activation of the levator ani muscle, on the duration of the second stage of labor. This is a single-center, no-profit, randomized controlled interventional study. Compared with standard clinical practice, patients will be enrolled at term pregnancy during routine antenatal care, when a first session of ultrasound-based visual feedback training will be performed using transperineal ultrasound. Nulliparous women at term pregnancy showing co-activation of the levator ani muscle will be recruited within the standard care pathway. Participants will be randomized into two groups: Group 1 (intervention): patients will undergo ultrasound-based visual feedback training, including real-time visualization on the ultrasound screen an

Sign in to get the eligibility rules as simple questions to take to your doctor.

๐Ÿ“‹ Eligibility rules (as published)
Inclusion Criteria: * Nulliparous (first pregnancy) * Adults (โ‰ฅ18 years old) * Singleton pregnancy * Presence of levator ani muscle co-activation at term pregnancy (37 weeks) * Candidates for vaginal delivery * Written informed consent signed for study participation Exclusion Criteria: * Presence of uterine malformations * Presence of fetal malformations * Presence of vaginal bleeding at the time of enrollment * Regular uterine contractions * Premature rupture of membranes
๐Ÿ’Š

What it tests

  • Ultrasound Visual Feedback Training
๐Ÿ“

Where

1 site
IRCCS Azienda Ospedaliero-Universitaria di Bologna
Bologna, Italy
๐Ÿค Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible โ€” always decide together with your own doctor.
๐Ÿ›ก๏ธ

AI Cure shows public evidence (Open Targets, ClinicalTrials.gov, PubMed, openFDA, DepMap, AlphaFold) with its source, and AI summaries that cite it โ€” not medical advice and not a cure. Treatment decisions belong with your doctor. Research ideas are shared only with approved researchers and labs, who can test them. In an emergency call your local emergency number (112 in India and Europe, 911 in the US). AI Cure Terms of Use ยท Privacy