ClinicalTrials.gov
public full text
Public Domain
Enhanced Magnifying Endoscopy for Diagnosis of Early Gastric Cancer
When performing screening endoscopy, small focal gastric lesions are frequently encountered. Novel techniques in endoscopy, such as magnifying endoscopy (ME) with narrow-band imaging (NBI) and chromoendoscopy with acetic acid-indigocarmine mixture (AIM), are developing to enhance images of gastrointestinal tumor. Furthermore, observation of the microstructures of gastric mucosa by ME, including microvascular pattern and microsurface pattern, has been proposed in the recognition of early gastric cancer (EGC). This study is based on the hypothesis as follow: 1. The microvascular structure could be clearly observed with magnifying endoscopy enhanced by narrow-band imaging (ME-NBI). 2. The microsurface architecture could be clearly observed with magnifying endoscopy enhanced by acetic acid-indigocarmine mixture (ME-AIM). 3. Enhanced ME (combining ME-NBI and ME-AIM), as compared to white-light endoscopy (WLE), has higher sensitivity and specificity for the differential diagnosing small focal gastric lesions.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Gastric In Vivo Study#879443
- a Prospective Study on the Efficacy of Magnifying Endoscopy With Narrow-band Imaging in Diagnosing Gastric Lesions#1008364
- Comparison of pCLE and EB in Gastric Lesion Diagnosis#876491
- Impact of Timing of Premedication on Mucosal Visibility During Endoscopy-A Randomized Controlled Trial#830014
- The Characterization of Small and Diminutive Colonic Polyps in LCI#1072863
Record · ID 906372
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive