Accuracy of endoscopic ultrasonography for diagnosing ulcerative early gastric cancers.

Medicine (Baltimore)

Digestive Disease Center, Department of Internal Medicine, Inha University School of Medicine, Incheon, South Korea.

Published: July 2016

Although endoscopic ultrasonography (EUS) is the first-choice imaging modality for predicting the invasion depth of early gastric cancer (EGC), the prediction accuracy of EUS is significantly decreased when EGC is combined with ulceration.The aim of present study was to compare the accuracy of EUS and conventional endoscopy (CE) for determining the depth of EGC. In addition, the various clinic-pathologic factors affecting the diagnostic accuracy of EUS, with a particular focus on endoscopic ulcer shapes, were evaluated.We retrospectively reviewed data from 236 consecutive patients with ulcerative EGC. All patients underwent EUS for estimating tumor invasion depth, followed by either curative surgery or endoscopic treatment. The diagnostic accuracy of EUS and CE was evaluated by comparing the final histologic result of resected specimen. The correlation between accuracy of EUS and characteristics of EGC (tumor size, histology, location in stomach, tumor invasion depth, and endoscopic ulcer shapes) was analyzed. Endoscopic ulcer shapes were classified into 3 groups: definite ulcer, superficial ulcer, and ill-defined ulcer.The overall accuracy of EUS and CE for predicting the invasion depth in ulcerative EGC was 68.6% and 55.5%, respectively. Of the 236 patients, 36 patients were classified as definite ulcers, 98 were superficial ulcers, and 102 were ill-defined ulcers, In univariate analysis, EUS accuracy was associated with invasion depth (P = 0.023), tumor size (P = 0.034), and endoscopic ulcer shapes (P = 0.001). In multivariate analysis, there is a significant association between superficial ulcer in CE and EUS accuracy (odds ratio: 2.977; 95% confidence interval: 1.255-7.064; P = 0.013).The accuracy of EUS for determining tumor invasion depth in ulcerative EGC was superior to that of CE. In addition, ulcer shape was an important factor that affected EUS accuracy.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5265809PMC
http://dx.doi.org/10.1097/MD.0000000000003955DOI Listing

Publication Analysis

Top Keywords

accuracy eus
28
invasion depth
24
endoscopic ulcer
16
ulcer shapes
16
eus
12
ulcerative egc
12
tumor invasion
12
eus accuracy
12
accuracy
11
endoscopic ultrasonography
8

Similar Publications

Purpose: To evaluate the staging performance of positron emission tomography/magnetic resonance imaging (PET/MRI) for confirmed esophageal cancer based on the TNM classification system as well as compare it to other alternative modalities (e.g., endoscopic ultrasonography (EUS), computed tomography (CT), MRI, and PET/CT) in a full head-to-head manner.

View Article and Find Full Text PDF

To retrospectively develop and validate an interpretable deep learning model and nomogram utilizing endoscopic ultrasound (EUS) images to predict pancreatic neuroendocrine tumors (PNETs). Following confirmation via pathological examination, a retrospective analysis was performed on a cohort of 266 patients, comprising 115 individuals diagnosed with PNETs and 151 with pancreatic cancer. These patients were randomly assigned to the training or test group in a 7:3 ratio.

View Article and Find Full Text PDF

Primary squamous cell carcinoma of the pancreas: A case report.

Int J Surg Case Rep

January 2025

Department of Hepatopancreatobiliary Surgery, First People's Hospital of Jiashan County, Jiaxing, Zhejiang Province, China.

Introduction: Primary squamous cell carcinoma (SCC) is a rare type of pancreatic cancer with an extremely low incidence rate and a prognosis that is poorer than that of pancreatic ductal adenocarcinoma.

Presentation Of Case: We report a case of pure pancreatic SCC in an 80-year-old man. Based on the examination before surgical resection, we did not detect any SCC lesions that might have metastasized to the pancreas.

View Article and Find Full Text PDF

Evaluating ChatGPT-4 for the Interpretation of Images from Several Diagnostic Techniques in Gastroenterology.

J Clin Med

January 2025

Precision Medicine Unit, Department of Gastroenterology, São João University Hospital, Alameda Professor Hernâni Monteiro, 4200-427 Porto, Portugal.

Several artificial intelligence systems based on large language models (LLMs) have been commercially developed, with recent interest in integrating them for clinical questions. Recent versions now include image analysis capacity, but their performance in gastroenterology remains untested. This study assesses ChatGPT-4's performance in interpreting gastroenterology images.

View Article and Find Full Text PDF

Pancreatic cancer is a highly aggressive malignancy with a profoundly poor prognosis. Clinically, the condition most frequently manifests with symptoms including painless jaundice, abdominal discomfort, and back pain. Early diagnosis and the implementation of effective therapeutic strategies are critical for improving patient survival outcomes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!