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Updated: Jan 21, 2026
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Ex Vivo Perfusion of the Rodent Placenta
Published on: May 30, 2019
10.4K
How and why should the radiologist look at the placenta?
N Siauve1,2
1Service de Radiologie, Hôpital Louis Mourier, Assistance Publique-Hôpitaux de Paris (APHP), 178, rue des Renouillers, 92701, Colombes Cedex, France. nathalie.siauve@aphp.fr.
European Radiology
|August 9, 2019
Summary
Radiologists face challenges in understanding placental function. A new approach using magnetic resonance imaging (MRI) texture analysis and machine learning offers improved identification of invasive placentation.
Area of Science:
- Radiology
- Medical Imaging
- Artificial Intelligence in Medicine
Background:
- Placental function presents a significant challenge for radiologists.
- Magnetic resonance imaging (MRI) offers new avenues for placental studies.
Discussion:
- The study by Sun et al. introduces a novel method for placental MRI.
- This approach leverages texture analysis and automated machine learning.
Key Insights:
- The proposed method aids in identifying suspicious invasive placentation.
- Texture features from clinical MRI data are utilized.
- Automated machine learning enhances diagnostic accuracy.
Outlook:
- This work paves the way for advanced AI-driven placental imaging.
- Future research can refine these machine learning models for clinical application.
