Dysplastic Barrett’s lesion with white opaque substance and xanthoma

Bechara, Robert; Abaskharoun, Ramy; Manley, Paul

doi:10.1016/j.vgie.2019.04.021

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…The lipids around the tumor mainly show the accumulation of white opaque materials (WOS), which was first reported by Yao in 2008 [3]. In recent years, the combination of magnification imaging and electronic staining has been used by several research institutions to study the relationship between white opaque substances in gastric wall and tumor occurrence and development [4], and It is confirmed that WOS also exists in other regions of the digestive tract, including the stomach, large intestine, colorectal, duodenum and esophagus [5][6][7][8][9]. WOS is formed by the accumulation of tiny lipid droplets in the epithelium [10], which has strong reflection and scattering in visible light, so it will cover the blood vessels on the surface of the gastric mucosa.…”

Section: Introductionmentioning

confidence: 90%

Multispectral endoscopic imaging studies on the tissue components of gastrointestinal mucosa

Yuan²,

Wang³

2022

Advanced Optical Imaging Technologies V

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In recent years, endoscopic imaging has become the major diagnostic approach for early cancer. It is difficult to accurately obtain the information of lesions and components content by using conventional white light imaging (C-WLI). Multispectral imaging techniques such as narrowband imaging are widely used in endoscopic clinical because of their specificity on the surface structure of digestive tract mucosa. However, there is still a lack of multispectral techniques for tissue components specificity. Tissue components such as lipid, hemoglobin are closely related to the generation and development of tumors, but it is difficult to observe the characteristics of lipid and hemoglobin by conventional white light imaging. Therefore, we studied the multispectral endoscopic imaging technique for the analysis of digestive tract mucosal components. Based on the reflectance spectrum characteristics of these tissue components, we determined their specific wavelength, and comprehensively considered the absorption, scattering, oxygenation and others in order to determine the most appropriate optical band in the wavelength range of 365-660nm. Through experimental verification, we choose different narrow-band wavelength combinations for lipids and hemoglobin oxygen saturation respectively to achieve multispectral imaging. In order to simulate the optical properties of digestive tract surface, we made tissue optical phantom. At the same time, we tested and optimized the imaging system and algorithm by the experiments in vitro, and obtained the optimal multispectral image of tissue components, then realize the quantitative detection combined with the content analysis algorithm. Our pilots show that the multispectral imaging system can improve the contrast of endoscopy image, enhance the detail information, achieve high precision detection of tissue components content, and control the error within 10%.

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