Actively Recruiting
3D Ultrasound Placental Volume and Blood Flow Compared to 2D Ultrasound for Diagnosing Placenta Accreta Spectrum
Led by Assiut University · Updated on 2025-01-01
38
Participants Needed
1
Research Sites
17 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Placenta Accreta Spectrum Disorders (PASD) involve abnormal attachment of the placenta to the uterine wall, including placenta accreta, increta, and percreta. These conditions can complicate pregnancy, and accurate antenatal diagnosis is challenging. This research compares two common ultrasound methods, 3D ultrasound with vascular indices and 2D ultrasound with color Doppler, to better diagnose PASD before delivery. The study evaluates 3D placental volume measurements and vascular indices such as vascularization index, flow index, and vascularization flow index using 3D ultrasound. These are compared against 2D ultrasound criteria for placental invasion combined with color Doppler imaging. Both methods use ultrasound technology to assess placental attachment and blood flow patterns, aiming to improve diagnostic accuracy. Participants will be pregnant women diagnosed with placenta previa. Researchers will assess the placental characteristics using both ultrasound techniques. The main outcome measure is the vascular index evaluated after one month. The study focuses on comparing these imaging methods to aid in managing placenta accreta spectrum disorders, supporting clinical decisions before delivery.
CONDITIONS
Official 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 placenta
- Placental separation
- Uterine anomalies
AI-Screening
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Trial Site Locations
Total: 1 location
1
Women's Health Hospital
Asyut, Egypt
Actively Recruiting
Research Team
M
Mohamed Fekry, PhD
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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