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EUS-Guided Diagnosis of Gastric Subepithelial Lesions, What Is New?

Thomas VasilakisDimitrios Ι ZiogasGeorgios TziatziosParaskevas GkolfakisEleni KoukouliotiChristina KapizioniKonstantinos D TriantafyllouAntonio FacciorussoIoannis S Papanikolaou
Published in: Diagnostics (Basel, Switzerland) (2023)
Gastric subepithelial lesions (SELs) are intramural lesions that arise underneath the gastric mucosa. SELs can be benign, but can also be malignant or have malignant potential. Therefore, correct diagnosis is crucial. Endosonography has been established as the diagnostic gold standard. Although the identification of some of these lesions can be carried out immediately, solely based on their echo characteristics, for certain lesions histological examination is necessary. Sometimes histology can be inconclusive, especially for smaller lesions. Therefore, new methods have been developed in recent years to assist decision making, such as contrast enhanced endosonography, EUS elastography, and artificial intelligence systems. In this narrative review we provide a complete overview of the gastric SELs and summarize the new data of the last ten years concerning the diagnostic advances of endosonography on this topic.
Keyphrases
  • artificial intelligence
  • contrast enhanced
  • magnetic resonance
  • magnetic resonance imaging
  • big data
  • machine learning
  • decision making
  • diffusion weighted
  • diffusion weighted imaging
  • deep learning
  • risk assessment