Linked Color Imaging and Blue Laser Imaging for Upper Gastrointestinal Screening

Osawa, Hiroyuki; Mıura, Yoshimasa; Takezawa, Takahito; Ino, Yuji; Khurelbaatar, Tsevelnorov; Sagara, Yuichi; Lefor, Alan Kawarai; Yamamoto, Hironori

doi:10.5946/ce.2018.132

Cited by 60 publications

(89 citation statements)

References 44 publications

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“…Some recent studies have reported that LCI is significantly useful for the diagnosis of active HP infection or gastric metaplasia . However, the endoscopic diagnosis of HP infection does not have objective indicators, and the diagnostic ability differs between doctors.…”

Section: Introductionmentioning

confidence: 99%

“…Some recent studies have reported that LCI is significantly useful for the diagnosis of active HP infection or gastric metaplasia. 7,8 However, the endoscopic diagnosis of HP infection does not have objective indicators, and the diagnostic ability differs between doctors. Therefore, it is necessary to establish interpretable universal methods for an endoscopic diagnosis of an HP infection, such as a computer-aided diagnosis (CAD).…”

Section: Introductionmentioning

confidence: 99%

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Potential of automatic diagnosis system with linked color imaging for diagnosis of Helicobacter pylori infection

Yasuda

Hiroyasu

Hiwa

et al. 2019

Digestive Endoscopy

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Background and Aim It is necessary to establish universal methods for endoscopic diagnosis of Helicobacter pylori (HP) infection, such as computer‐aided diagnosis. In the present study, we propose a multistage diagnosis algorithm for HP infection. Methods The aims of this study are to: (i) to construct an interpretable automatic diagnostic system using a support vector machine for HP infection; and (ii) to compare the diagnosis capability of our artificial intelligence (AI) system with that of endoscopists. Presence of an HP infection determined through linked color imaging (LCI) was learned through machine learning. Trained classifiers automatically diagnosed HP‐positive and ‐negative patients examined using LCI. We retrospectively analyzed the new images from 105 consecutive patients; 42 were HP positive, 46 were post‐eradication, and 17 were uninfected. Five endoscopic images per case taken from different areas were read into the AI system, and used in the HP diagnosis. Results Accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the diagnosis of HP infection using the AI system were 87.6%, 90.4%, 85.7%, 80.9%, and 93.1%, respectively. Accuracy of the AI system was higher than that of an inexperienced doctor, but there was no significant difference between the diagnosis of experienced physicians and the AI system. Conclusions The AI system can diagnose an HP infection with significant accuracy. There remains room for improvement, particularly for the diagnosis of post‐eradication patients. By learning more images and considering a diagnosis algorithm for post‐eradication patients, our new AI system will provide diagnostic support, particularly to inexperienced physicians.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Potential of automatic diagnosis system with linked color imaging for diagnosis of Helicobacter pylori infection

Yasuda

Hiroyasu

Hiwa

et al. 2019

Digestive Endoscopy

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“…7 An overview of these two techniques (BLI and LCI) highlighting their respective value for the color-based recognition of early gastric cancers was also published. 8 The characteristic purple and green color of metaplasia on LCI and BLI, respectively, serves to increase the contrast allowing the diagnosis of inflamed mucosae including erosions and early gastric cancer.…”

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confidence: 99%

Review: Diagnosis of Helicobacter pylori infection

et al. 2019

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Endoscopic imaging of the stomach is improving. In addition to narrow band imaging, other methods, for example, blue light imaging and linked color imaging, are now available and can be combined with artificial intelligence systems to obtain information on the gastric mucosa and detect early gastric cancer. Immunohistochemistry is only recommended as an ancillary stain in case of chronic active gastritis without Helicobacter pylori detection by standard staining, and recommendations to exclude false negative H. pylori results have been made. Molecular methods using real‐time PCR, droplet digital PCR, or amplification refractory mutation system PCR have shown a high accuracy, both for detecting H. pylori and for clarithromycin susceptibility testing, and can now be used in clinical practice for targeted therapy. The most reliable non‐invasive test remains the 13C‐urea breath test. Large data sets show that DOB values are higher in women and that the cut‐off for positivity could be decreased to 2.74 DOB. Stool antigen tests using monoclonal antibodies are widely used and may be a good alternative to UBT, particularly in countries with a high prevalence of H. pylori infection. Attempts to improve serology by looking at specific immunodominant antigens to distinguish current and past infection have been made. The interest of Gastropanel® which also tests pepsinogen levels was confirmed.

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“…LCI and BLI have high emission intensity of short wavelengths that reflect from the mucosal surface. 18 This histological difference may influence the spectral reflectance of both epithelia even after iodine staining, which results in different colors.…”

Section: Discussionmentioning

confidence: 99%

New Diagnostic Approach for Esophageal Squamous Cell Neoplasms Using Linked Color Imaging and Blue Laser Imaging Combined with Iodine Staining

et al. 2019

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A 62-year-old man with a flat early esophageal cancer was referred for endoscopic treatment. White light imaging revealed a pale red lesion, whereas linked color imaging (LCI) and blue laser imaging (BLI) yielded purple and brown images, respectively. Iodine staining demonstrated a large unstained area with a homogenous but very weak pink-color sign. This area appeared more clearly as purple and green on LCI and BLI, respectively; however, a different colored portion was observed at the 4 o'clock position inside the iodineunstained area. Histopathology findings of the resected specimen revealed squamous intraepithelial neoplasia at the 4 o'clock position and an esophageal squamous cell carcinoma in the remaining iodine-unstained area. LCI and BLI combined with iodine staining produce characteristic images that overcomes the pink-color sign, reflecting the histological features of a flat esophageal neoplasm. This new method is useful for detailed evaluation of early flat squamous cell neoplasms.

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Linked Color Imaging and Blue Laser Imaging for Upper Gastrointestinal Screening

Cited by 60 publications

References 44 publications

Potential of automatic diagnosis system with linked color imaging for diagnosis of Helicobacter pylori infection

Potential of automatic diagnosis system with linked color imaging for diagnosis of Helicobacter pylori infection

Review: Diagnosis of Helicobacter pylori infection

New Diagnostic Approach for Esophageal Squamous Cell Neoplasms Using Linked Color Imaging and Blue Laser Imaging Combined with Iodine Staining

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