ArticleScientific reports2017
Linked colour imaging benefits the endoscopic diagnosis of distal gastric diseases.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic accuracy of linked color imaging and white light imaging for early gastric cancer and gastrointestinal metaplasia: a systematic review and meta-analysis.Frontiers in oncology · 2024Pooled it
- Diagnostic accuracy of linked colour imaging versus white light imaging for early gastric cancers: a prospective, multicentre, randomized controlled trial study.Annals of medicine · 2022Trial
- Characteristics of Superficial Gastric Neoplasms Detected Not by White Light Imaging but by Linked Color Imaging.JGH open : an open access journal of gastroenterology and hepatology · 2025Article
- The Agreement between Endoscopic and Histopathological Findings of Esophageal and Gastroduodenal Lesions and Its Relationship with Endoscopists' Experience.Middle East journal of digestive diseases · 2023Article
- Linked Color Imaging for Stomach.Diagnostics (Basel, Switzerland) · 2023Review
- Current status and future perspective of linked color imaging for gastric cancer screening: a literature review.Journal of gastroenterology · 2023Review
- Diagnostic ability of linked color imaging in ultraslim endoscopy to identify neoplastic lesions in the upper gastrointestinal tract.Endoscopy international open · 2022Article
- A comparative time-dependent study of hematology, serum gastrin concentrations, and gastroscopic assessment of meloxicam-induced gastric ulceration in dogs.Journal of veterinary internal medicine · 2021Article
- Review
- Novel endoscopic optical diagnostic technologies in medical trial research: recent advancements and future prospects.Biomedical engineering online · 2021Review
- Clinically Available Optical Imaging Technologies in Endoscopic Lesion Detection: Current Status and Future Perspective.Journal of healthcare engineering · 2021Review
- Endoscopic three-categorical diagnosis of Helicobacter pylori infection using linked color imaging and deep learning: a single-center prospective study (with video).Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2020Article
- RGB Pixel Brightness Characteristics of Linked Color Imaging in Early Gastric Cancer: A Pilot Study.Gastroenterology research and practice · 2020Article
- Clinical significance and influencing factors of linked color imaging technique in real-time diagnosis of active Helicobacter pylori infection.Chinese medical journal · 2019Article
- Diagnostic utility of linked color imaging in the evaluation of colonic mucosal inflammation in ulcerative colitis: a pilot study.Endoscopy international open · 2019Article
- Linked color imaging confers benefits in profilingEndoscopy international open · 2019Article
- Novel endoscopic findings as visualized by non-magnification endoscopy with linked color imaging are indicative of gastric intestinal metaplasia.Chinese medical journal · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric diseases are common in China, and gastroduodenoscopy could provide accurate diagnoses. Our previous study verified that linked colour imaging (LCI) can improve endoscopic diagnostic accuracy. This study aimed for the first time to establish an LCI-based endoscopic model called colour-microstructure-vessel (CMV) criteria and validated its clinical feasibility for detecting distal gastric diseases manifested as red mucosal lesions under endoscopy in a cohort of 62 patients. Colour features were extracted from the endoscopic images and categorized into 3 types. Colour type 1 was a typical red; Colour type 2 was red ringed with purple and Colour type 3 was red with yellow in the centre and purple around the periphery, allowing for predicting chronic nonatrophic gastritis, chronic atrophic gastritis and gastric cancer. The sensitivity, specificity and Youden index of Colour type 3 with abnormal M or V for gastric cancer were 100.0%, 98.2% and 98.2%. The kappa values for intra-observer and inter-observer agreement for predicting the pathology were 0.834 and 0.791 for experienced endoscopists and 0.788 and 0.732 for endoscopy learners, and these values were comparable regardless of the experience of the endoscopists (P > 0.05). These findings support that the CMV criteria are a promising model for accurate endoscopic diagnosis.
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