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Endorsing consensus interpretation for diagnosing placenta accreta spectrum disorders on MRI
Benjamin Parnes1, Amita Kamath2, Barak Friedman2
1Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. parnes.benjamin@gmail.com.
A diagnostic model using consensus MRI findings shows good performance for detecting placenta accreta spectrum (PAS) disorders in pregnant women. This approach helps improve the accuracy of noninvasive PAS diagnosis, crucial for managing maternal risks.
Area of Science:
- Radiology
- Obstetrics & Gynecology
- Medical Imaging
Background:
- Placenta accreta spectrum (PAS) disorders pose significant maternal risks, necessitating accurate diagnostic methods.
- Inter-observer variability and lack of validated criteria can limit the reliability of MRI for PAS diagnosis.
- Developing standardized MRI criteria is crucial for improving noninvasive diagnosis of PAS.
Purpose of the Study:
- To evaluate the diagnostic performance of individual and combined MRI features for placenta accreta spectrum (PAS) disorders.
- To assess the utility of a multivariable model incorporating specific MRI findings for PAS diagnosis.
- To address the need for reliable, noninvasive diagnostic tools for PAS in pregnant women.
Main Methods:
- Retrospective analysis of 131 pregnant women undergoing MRI for placental or fetal indications.
- Assessment of 11 predefined MRI features by three independent observers, with consensus adjudication for discrepancies.
- Application of univariable/multivariable logistic regression and ROC analysis to evaluate feature performance and model accuracy.
Main Results:
- Consensus review indicated that most MRI features and prior delivery history were associated with PAS (p ≤ 0.0003).
- "Loss of T2-retroplacental line" and "myometrial thinning" demonstrated high sensitivity (0.87) at consensus.
- A multivariable model combining "uterine/placental bulge," "focal exophytic placental mass," and "bladder vessel sign" achieved an AUC of 0.83 for PAS diagnosis.
Conclusions:
- A diagnostic model based on consensus interpretation of MRI findings demonstrates good performance for PAS diagnosis.
- Standardized interpretation of MRI features can enhance diagnostic accuracy for PAS.
- This model aids in the noninvasive diagnosis of PAS, crucial for mitigating maternal morbidity and mortality.
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