AI Article Synopsis

  • Endoscopic ultrasound is the top imaging method for diagnosing gastrointestinal subepithelial lesions, particularly in the stomach, which had the highest incidence of these lesions.
  • A study of 342 patients revealed that 63.72% of stomach lesions originated from the fourth layer, with most being ≥2 cm in size.
  • Key signs of possible malignancy were identified in 15.81% of cases, and endoscopic ultrasound-fine needle aspiration successfully diagnosed 61.76% of patients tested.

Article Abstract

Background: Endoscopic ultrasound is considered the best imaging test for the diagnosis and evaluation of subepithelial lesions of the gastrointestinal tract.

Objective: The present study aims to describe the endosonographic characteristics of upper gastric subepithelial lesions and our experience using endoscopic ultrasound for evaluation of such lesions.

Methods: Retrospective data study of 342 patients who underwent endoscopic ultrasound evaluation of subepithelial lesions.

Results: Lesions of the fourth layer were more common in the stomach (63.72%) than in the esophagus (44.68%) and duodenum (29.03%). In stomach, 81.1% of the lesions ≥2 cm, and 96.5% ≥3 cm, were from the fourth layer. Endosonographic signs that could be related to malignant behavior, such as irregular borders, echogenic foci, cystic spaces and/or size greater than 3 cm were identified in 34 (15.81%) lesions at the first endoscopic ultrasound evaluation. Endoscopic ultrasound-fine needle aspiration did the diagnosis in 21 (61.76%) patients who were submitted a puncture. Three (12.0%) lesions of 25 who were submitted to regular endoscopic ultrasound surveillance increased the size.

Conclusion: Stomach is the organ most affected with subepithelial lesions of the gastrointestinal tract and the fourth layer was the most common layer of origin. More than 80% of gastric subepithelial lesions from the fourth layer are ≥2 cm. Endoscopic ultrasound evaluation of subepithelial lesions has been very important for stratification into risk groups and to determine the best management.

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Source
http://dx.doi.org/10.1590/S0004-28032015000300006DOI Listing

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