Diagnosis of Gastric Subepithelial Tumors Using Endoscopic Ultrasonography or Abdominopelvic Computed Tomography: Which is Better?-Reference-Cited by-同舟云学术

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Diagnosis of Gastric Subepithelial Tumors Using Endoscopic Ultrasonography or Abdominopelvic Computed Tomography: Which is Better?

Published:2019-11-30 Issue:6 Volume:52 Page:519-520
ISSN:2234-2400
Container-title:Clinical Endoscopy
language:en
Short-container-title:Clin Endosc

Author:

Park Eun Young,Kim Gwang Ha

Publisher

The Korean Society of Gastrointestinal Endoscopy

Subject

Gastroenterology,Radiology, Nuclear Medicine and imaging,Medicine (miscellaneous)

Link

http://e-ce.org/upload/pdf/ce-2019-188.pdf

Reference10 articles.

1. American Gastroenterological Association Institute Technical Review on the Management of Gastric Subepithelial Masses

2. Diagnosis of subepithelial tumors in the upper gastrointestinal tract by endoscopic ultrasonography

3. Discrepancy in diagnosis of gastric submucosal tumor among esophagogastroduodenoscopy, CT, and endoscopic ultrasonography: a retrospective analysis of 93 consecutive cases

4. Diagnostic performance of stomach CT compared with endoscopic ultrasonography in diagnosing gastric subepithelial tumors

5. Current Guidelines in the Management of Upper Gastrointestinal Subepithelial Tumors

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1. Características endosonográficas de las lesiones subepiteliales del tracto digestivo superior: experiencia de un centro de referencia en Colombia;Revista colombiana de Gastroenterología;2023-09-27

2. Endoscopic ultrasound artificial intelligence-assisted for prediction of gastrointestinal stromal tumors diagnosis: A systematic review and meta-analysis;World Journal of Gastrointestinal Endoscopy;2023-08-16

3. Feasibility of endoscopic resection and impact of endoscopic ultrasound-based surveillance on colorectal subepithelial tumors;Surgical Endoscopy;2023-06-13

4. Single-incision needle-knife biopsy for the diagnosis of GI subepithelial tumors: a systematic review and meta-analysis;Gastrointestinal Endoscopy;2023-04

5. Convolutional neural network‐based object detection model to identify gastrointestinal stromal tumors in endoscopic ultrasound images;Journal of Gastroenterology and Hepatology;2021-08-16

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