This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.
The goal of this clinical trial is to determine the optimal timing for measuring cervical length (CL) during fetal anatomy surveys in pregnant individuals. This study focuses on improving the accuracy of cervical length assessments, which are critical for identifying individuals at risk for preterm birth. The main questions it aims to answer are: * Does measuring cervical length at the beginning of the anatomy survey result in a higher proportion of scans meeting the nine CLEAR (Cervical Length Education and Review) criteria compared to measuring at the end of the survey? * Does the use of sepia-filtered ultrasound images improve the proportion of scans meeting the nine CLEAR criteria compared to conventional grayscale images? Researchers will compare two groups of participants randomized to have cervical length measured either at the beginning or at the end of the anatomy survey. Additionally, all participants will undergo cervical length measurements using both grayscale and sepia-filtered ultrasound imaging. Participants will: * Receive a patient information sheet through MyChart explaining the study and standard cervical length screening during anatomy surveys. * Provide verbal consent for a transvaginal ultrasound and study participation. * Be randomized to have their cervical length measured at either the start or end of the fetal survey. * Undergo cervical length measurement using both grayscale and sepia-filtered ultrasound imaging modalities. * This study involves no additional risks beyond those of routine clinical care and aims to enhance clinical practice by identifying optimal methods for cervical length assessment during pregnancy.
Optimal Timing of Routine Cervical Length Measurements During Anatomy Survey
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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Sponsor: Henry Ford Health System
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.