Use of i-scan Endoscopic Image Enhancement Technology in Clinical Practice to Assist in Diagnostic and Therapeutic Endoscopy: A Case Series and Review of the Literature

Hancock, Susan; Bowman, Erik; Prabakaran, Jyothiprashanth; Benson, Mark; Agni, Rashmi; Pfau, Patrick R.; Reichelderfer, Mark; Weiss, Jennifer M.; Gopal, Deepak V.

doi:10.1155/2012/193570

Cited by 18 publications

(8 citation statements)

References 18 publications

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“…In our study, the validity of I-scan as a diagnostic test was 90.2% accuracy (95% CI were from 76.87% to 97.28%), 91.9% sensitivity, 75% specificity, 97.1% PPV and 50% NPV compared to WLE, which achieved 68.2% accuracy (95% CI were from 51.91% to 81.92%), 67.6% sensitivity, 75% specificity, 96% PPV and 20% NPV. Our result was in agreement with Hancock and et al who studied the uses of I-scan and concluded that it helped in the diagnosis of neoplastic changes as Barrett's esophagus, gastric lymphoma, duodenal adenoma and lymphoma [16].…”

Section: Table (1)supporting

confidence: 93%

Role of I-scan in Diagnosis of Duodenal Mucosal Lesions during Gastroduodenoscopy

Ibrahim

ElKashishy

Abdelwahab

et al. 2021

Afro-Egyptian Journal of Infectious and Endemic Diseases

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Background and study aim: Duodenal mucosal lesions are usually difficult to diagnose. White light endoscopy(WLE) generally does not visualize the duodenal villous patterns properly and miss small elevated lesions, which result in an inaccurate diagnosis. We aimed to assess the diagnostic accuracy of I-scan technology for evaluation and histological confirmation of mucosal lesions in the duodenum and its role in biopsy targeting. Patients and Method:This was a single center, cross-sectional study. Patients with any indication for duodenal mucosa histological examination on conventional white light endoscopy WLE and I Scan imaging were included. A definitive diagnosis was determined by histopathology examination of the biopsied specimen.Results: In our study 41 patients were included (25 males, 16 females, mean age 39.9 years). The criterion-related validity of I-scan as a diagnostic test was 91.9% sensitivity, 75% specificity, 97.1% PPV and 50% NPV compared to white light endoscopy , which achieved 67.6% sensitivity, 75% specificity, 96% PPV and 20% NPV. I-scan achieved 95.1% accuracy, 97% specificity, 75% sensitivity in the diagnosis of celiac disease and detection of duodenal villous atrophy compared to WLE, which achieved 92.7% accuracy, 100% specificity, 25% sensitivity. There was a significant association between disease diagnosis by I-scan and presenting by abdominal pain (p<0.026). Conclusion: I-scan represents a simpletechnique that helps in the diagnosis of duodenal mucosal lesions with high sensitivity, specificity and reduces false negative diagnosis; especially in patients who had abdominal pain.

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Section: Table (1)supporting

confidence: 93%

Role of I-scan in Diagnosis of Duodenal Mucosal Lesions during Gastroduodenoscopy

Ibrahim

ElKashishy

Abdelwahab

et al. 2021

Afro-Egyptian Journal of Infectious and Endemic Diseases

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“…The proposed framework consists of image preprocessing and the SegNet architecture for polyp image segmentation, as shown in Figure 1. In the image preprocessing step, 1000 polyp images in the Kvasir-SEG dataset are applied to the histogram equalization 29 to improve the image contrast. After that, all enhanced images can be resized to provide 360 × 480 pixels.…”

Section: The Proposed Frameworkmentioning

confidence: 99%

An improved framework for polyp image segmentation based on SegNet architecture

Afify

Mohammed

Hassanien

2021

Int J Imaging Syst Tech

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A polyp is one of the major causes of gastroenterology, which leads to colorectal cancer. The detection of polyps by colonoscopy imaging is a significant challenge because of the diversity in polyp structure and lack of examination accuracy. To solve this problem, the automatic segmentation of polyps can be used to enhance examination accuracy and reduce gastrointestinal (GI) disease. In this paper, the framework of polyp image segmentation is developed by a deep learning approach, especially a convolutional neural network. This proposed framework used the Kvasir-SEG database, which contains 1000 GI polyp images and corresponding segmentation masks according to annotation by medical experts. This database is divided into 900 for training

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“…I-SCAN improves polyp characterization and visualizes the architectural subtleties in the mucosa [30][31][32][33] (Figures 3, 4). …”

Section: I-scanmentioning

confidence: 99%

Advanced Endoscopic Imaging Techniques for the Study of Colonic Mucosa in Patients with Inflammatory Bowel Disease

Ştefănescu

Pereira

Filip

et al. 2016

Romanian Journal of Internal Medicine

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Background. Crohn's disease and ulcerative colitis are inflammatory bowel diseases (IBD) associated with colorectal cancer risk in long-standing diseases. In order to assess the colonic mucosa and to discover dysplastic or neoplastic lesions, advanced endoscopic techniques are needed. Such techniques are detailed in this review: chromoendoscopy, autofluorescence imaging (AFI), narrow band imaging (NBI), i-SCAN, Fujinon Intelligent Color Enhancement (FICE) and confocal laser endomicroscopy (CLE).Aim. The aim of the review is to describe and establish the clinical impact of advanced endoscopic techniques, that could be used in IBD patients'examination in order to assess mucosal healing, microscopic inflammation, dysplasia or neoplasia.Materials and Methods. A literature research about new endoscopic approaches of patients with IBD was made. Results.A lot of studies have been performed to reveal which imaging technique might be used for IBD surveillance. Regarding dysplasia or neoplasia detection and mucosal healing or inflammation assessment, CE proved to be superior to white light endoscopy (WLE), while NBI and AFI did not show an encouraging result. I-SCAN did not improve the colonoscopy quality while FICE has been used in a few studies. CLE could be used to characterize a lesion, providing the same results as conventional histology.Conclusion. At the moment, CE is the only technique which has been included in guidelines for IBD surveillance. CLE can be used to assess any lesion detected with WLE during surveillance, while the other imaging techniques require more studies to determine their efficacy or inefficacy.

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Use of i-scan Endoscopic Image Enhancement Technology in Clinical Practice to Assist in Diagnostic and Therapeutic Endoscopy: A Case Series and Review of the Literature

Cited by 18 publications

References 18 publications

Role of I-scan in Diagnosis of Duodenal Mucosal Lesions during Gastroduodenoscopy

Role of I-scan in Diagnosis of Duodenal Mucosal Lesions during Gastroduodenoscopy

An improved framework for polyp image segmentation based on SegNet architecture

Advanced Endoscopic Imaging Techniques for the Study of Colonic Mucosa in Patients with Inflammatory Bowel Disease

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