Linked Color Imaging and Color Analytic Model Based on Pixel Brightness for Diagnosing H. Pylori Infection in Gastric Antrum

Xiaotian Sun^1,2, Cuiyun Ma², Xueting Zhang², Chang Lu³, Haiyan Yu², Wei Zhang¹, Ying Wang³, Shaoying Zhu³, Minglu Liu¹, Huiming Zhang³, Xinfang Miao³, Yang Xu²

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¹ Department of Internal Medicine, Southern Medical Branch of PLA General Hospital, Beijing, China

² Department of Gastroenterology, the Fifth Medical Center of PLA General Hospital (the 307 Hospital of Academy of Military Medical Science), Beijing, China

³ Clinic of Fuxing Road, Southern Medical Branch of PLA General Hospital, Beijing, China

EJMO 2023, 7(2), 160–16; https://doi.org/10.14744/ejmo.2023.33713

Submitted: 10 December 2022 | Revised: 2 February 2023 | Accepted: 11 April 2023 | Published: 19 June 2023

© 2023 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )

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Abstract

Objectives: Linked color imaging (LCI) helps to differentiate minor mucosal changes, which can be objectively judged by red–green–blue pixel brightness. However, whether this color analytic model based on pixel brightness can be applied to diagnose Helicobacter pylori infection remains unknown.

Methods: Consecutive adult patients with indications and underwent esophagogastroduodenoscopy for the 1st time were enrolled in the training (n=166) and validation (n=79) set. Demographic and clinical characteristics were recorded. Target region in gastric antrum was pictured before biopsy for rapid urea test, and pixel brightness was calculated by MATLAB software.

Results: In training set, 25 patients had H. pylori infection. Pixel brightness for R and B in patients with H. pylori infection was greatly higher than those in patients without H. pylori infection (R: 210.203±27.233 vs. 196.401±29.018, p=0.043; B: 127.621±26.112 vs. 125.334±27.812, p=0.025). At the cut off of R = 210 and B = 127, the specificity and sensitivity were 0.696 and 0.701. In validation set, 10 patients had H. pylori infection and the findings were consistent with those in training set.

Conclusion: Color analytic model based on pixel brightness under LCI was useful in diagnosing H. pylori infection in gastric antrum.

Keywords

Diagnostic efficacy

Esophagogastroduodenoscopy

H. pylori infection

Linked color imaging

Pixel brightness value

Conflict of interest

None declared.

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