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Comparing 3D Ultrasound and 2D Ultrasound with Color Doppler for Diagnosing Placenta Accreta Spectrum in Pregnant Women
Led by Assiut University · Updated on 2025-01-01
38
Participants Needed
1
Research Sites
4 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Placenta accreta spectrum disorders PASD include abnormal implantation of the placenta into the uterine wall, such as placenta accreta, increta, and percreta. This condition is a significant obstetric concern, and current antenatal diagnostic methods do not provide complete certainty in diagnosis. This study aims to compare two common ultrasound methods, 3D ultrasound and 2D ultrasound with color Doppler, to assess their effectiveness in diagnosing placenta accreta spectrum. The study evaluates 3D ultrasound using placental volume measurements and vascular indices including vascularization index, flow index, and vascularization flow index. The 2D ultrasound assessment includes examining placental invasion criteria such as lacunar vascular flow, abnormal utero-placental interface, myometrial thinning, absence of retroplacental myometrium, interruptions at the utero-vesical interface, and lower uterine segment hypervascularity. These two diagnostic approaches are observed and compared during the study period. Participants will be pregnant women diagnosed with placenta previa and will undergo ultrasound examinations using both 3D and 2D methods. The primary outcome measure is the vascular index assessed at 1 month. Secondary outcomes include evaluation of 2D ultrasound parameters at the same time point. This observational study involves ultrasound imaging to monitor placental characteristics and blood flow, aiming to improve antenatal diagnosis of placenta accreta spectrum disorders.
CONDITIONS
Brief Title
3D Placental Volume in Placenta Accreta
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Pregnant women with placenta previa
You will not qualify if you...
- Congenital anomalies of the placenta
- Placental separation
- Uterine anomalies
Research Team
M
Mohamed Fekry, PhD
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