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[Classification of Uterine Adenomyosis: A Pictorial Essay].

Hanna BaeYu Ri ShinSung Eun Rha
Published in: Journal of the Korean Society of Radiology (2024)
MRI is a crucial tool for diagnosing adenomyosis and identifying its related pathologies. To accurately diagnose adenomyosis, it is necessary to recognize both the typical MRI findings and atypical features of the condition. Recently, a standardized classification system has been developed to facilitate precise presurgical diagnosis of adenomyosis and to determine the appropriate treatment method. Differentiating between various subtypes based on MRI-based classification and identifying different MRI phenotypes can aid in categorizing patients with adenomyosis into specific treatment groups and monitoring their response to therapy.
Keyphrases
  • contrast enhanced
  • magnetic resonance imaging
  • diffusion weighted imaging
  • machine learning
  • deep learning
  • magnetic resonance
  • stem cells
  • mesenchymal stem cells