Gastrointestinal Stromal Tumors (GISTs) are subepithelial lesions (SELs) that commonly develop in the gastrointestinal tract. GISTs, unlike other SELs, can exhibit malignant behavior, so differential diagnosis is critical to the decision-making process. Endoscopic ultrasound (EUS) is considered the most accurate imaging method for diagnosing and differentiating SELs in the gastrointestinal tract by assessing the lesions precisely and evaluating their malignant risk. Due to their overlapping imaging characteristics, endosonographers may have difficulty distinguishing GISTs from other SELs using conventional EUS alone, and the collection of tissue samples from these lesions may be technically challenging. Even though it appears to be less effective in the case of smaller lesions, histology is now the gold standard for achieving a final diagnosis and avoiding unnecessary and invasive treatment for benign SELs. The use of enhanced EUS modalities and elastography has improved the diagnostic ability of EUS. Furthermore, recent advancements in artificial intelligence systems that use EUS images have allowed them to distinguish GISTs from other SELs, thereby improving their diagnostic accuracy.
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http://dx.doi.org/10.3390/cancers15041285 | DOI Listing |
Dig Endosc
January 2025
Department of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Objectives: Endoscopic ultrasound-guided fine-needle aspiration/biopsy (EUS-FNA/B) is the gold standard for diagnosing gastric subepithelial lesions (SELs), but diagnosing lesions smaller than 20 mm remains challenging. We developed traction-assisted EUS-FNB (TA-EUS-FNB) using the clip-with-thread method to enhance diagnostic accuracy by stabilizing the lesion and providing counter-traction for easier needle access. This study evaluates the effectiveness of TA-EUS-FNB in diagnosing small gastric SELs.
View Article and Find Full Text PDFCancers (Basel)
December 2024
Digestive Diseases and Surgery Institute, Cleveland Clinic, London SW1X 7HY, UK.
Endoscopic ultrasound (EUS) effectively diagnoses malignant and pre-malignant gastrointestinal lesions. In the past few years, artificial intelligence (AI) has shown promising results in enhancing EUS sensitivity and accuracy, particularly for subepithelial lesions (SELs) like gastrointestinal stromal tumors (GISTs). Furthermore, AI models have shown high accuracy in predicting malignancy in gastric GISTs and distinguishing between benign and malignant intraductal papillary mucinous neoplasms (IPMNs).
View Article and Find Full Text PDFTrials
December 2024
Second Department of Internal Medicine, Wakayama Medical University, 811-1, Kimiidera, Wakayama City, 641-0012, Japan.
Medicina (Kaunas)
October 2024
Division of Gastroenterology and Digestive Endoscopy, Humanitas Research Hospital-IRCCS, Rozzano, 20089 Milano, Italy.
: Subepithelial lesions (SELs) of the gastrointestinal (GI) tract present a diagnostic challenge due to their heterogeneous nature and varied clinical manifestations. Usually, SELs are small and asymptomatic; generally discovered during routine endoscopy or radiological examinations. Currently, endoscopic ultrasound (EUS) is the best tool to characterize gastric SELs.
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