Comparison of Narrow Band Imaging and Fujinon Intelligent Color Enhancement in Predicting Small Colorectal Polyp Histology

Kang, Hae Yeon; Kim, Young Sun; Kang, Seung Joo; Chung, Gyung Ho; Song, Ji Hyun; Yang, Sun Young; Lim, Seon Hee; Kim, Dong‐Hee; Kim, Sang Woo

doi:10.1007/s10620-015-3661-5

Cited by 9 publications

(6 citation statements)

References 29 publications

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“…However, FICE had several advantages: clearer images compared to NBI, more practical use, and provision of 10 different polyp images. 5 Kang et al 15 found higher specificity with FICE than with NBI, particularly in the detection of nonpolypoid lesions smaller than 5 mm.…”

Section: Discussionmentioning

confidence: 98%

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FICE in Predicting Colorectal Flat Lesion Histology

Akarsu

Şahbaz

Dural

et al. 2017

JSLS

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Background and Objectives:Colonoscopy is the gold standard for detection of polyps and is preventive against colorectal cancers. Flat adenomas are small, superficial lesions and have a high rate of going undetected during conventional white-light endoscopy. This article adds to the scant body of literature in English regarding in vivo detection and diagnosis of flat adenomas using Fujinon intelligent color enhancement (FICE) system. In this study, we investigated the diagnosis of flat lesions via the FICE endoscopy system and in vivo histologic diagnostic estimations of flat lesions.Methods:This prospective study was conducted in patients who underwent colonoscopy that found flat adenomas. Lesions were classified morphologically with regard to the Paris Classification and sent for histopathologic examination after in vivo histologic diagnostic estimations were made according to Kudo's pit pattern classification. The positive predictive value (PPV), negative predictive value (NPV), specificity, sensitivity, and accuracy of in vivo endoscopic diagnostic estimations of flat lesions with the FICE system were analyzed.Results:A total of 217 flat lesions were identified in 137 patients. Of the lesions, 85.7% were Paris type 0-IIa, and 59.4% were Kudo pit pattern type III. When the FICE diagnostic estimations of flat lesions and final pathology results were considered, PPV was 68.5%, NPV value was 89.6%, sensitivity was 94.7%, specificity was 50.9%, and accuracy was 74.2%.Conclusions:Biologic importance of flat lesions is obscure, as they are usually missed during colonoscopy. The use of novel endoscopic techniques may improve their detection and diagnosis rates.

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Section: Discussionmentioning

confidence: 98%

“…Accurate in vivo histologic diagnostic estimations can reduce the complications and costs associated with unnecessary polypectomy. 15 …”

Section: Introductionmentioning

confidence: 99%

FICE in Predicting Colorectal Flat Lesion Histology

Akarsu

Şahbaz

Dural

et al. 2017

JSLS

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“…Three tandem RCTs and one non-tandem RCT have shown no significant benefit of FICE over standard colonoscopy or NBI 55 – 58 in improving ADR. However, in the tandem RCT by Chung and colleagues, inadequate bowel preparation in at least 50% of cases may have impacted on ADR.…”

Section: Imagingmentioning

confidence: 96%

Can technology increase adenoma detection rate?

Ngu

Rees

2018

Therap Adv Gastroenterol

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Colorectal cancer is the third most common cancer worldwide and the second most common cause of cancer-related death in Europe and North America. Colonoscopy is the gold standard investigation for the colon but is not perfect, and small or flat adenomas can be missed which increases the risk of patients subsequently developing colorectal cancer. Adenoma detection rate is the most widely used marker of quality, and low rates are associated with increased rates of post-colonoscopy colorectal cancer. Standards of colonoscopy and adenoma detection vary widely between different endoscopists. Interventions to improve adenoma detection rate are therefore required. Many devices have been purported to increase adenoma detection rate. This review looks at current available evidence for device technology to improve adenoma detection rate during colonoscopy.

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“…3). Для оценки типа эпителиального образования использо-вали современные классификации S. Kudo и Y. Sano [12,13]. На основании особенностей капиллярного рисунка и структуры поверхности слизистой эпителиальных неопла-зий выставляли предположительный морфологический диагноз и определяли злокачественный потенциал ново-образований.…”

Section: материалы и методыunclassified