Inter‐observer variability of experts and trainees for the diagnosis of reflux esophagitis: Comparison of linked color imaging, blue laser imaging, and white light imaging

2021 ◽  
Author(s):  
Sang Pyo Lee ◽  
Sea Hyub Kae ◽  
Hyun Joo Jang ◽  
Dong Hee Koh ◽  
Eun Suk Jung
Keyword(s):  
Reflux Esophagitis ◽  
White Light ◽  
Blue Laser ◽  
Observer Variability ◽  
Laser Imaging ◽  
Color Imaging ◽  
Inter Observer Variability ◽  
Blue Laser Imaging ◽  
Linked Color Imaging ◽  
White Light Imaging

scholarly journals A CNN CADx System for Multimodal Classification of Colorectal Polyps Combining WL, BLI, and LCI Modalities

2020 ◽  
Vol 10 (15) ◽  
pp. 5040 ◽  
Author(s):  
Roger Fonollà ◽  
Quirine E. W. van der Zander ◽  
Ramon M. Schreuder ◽  
Ad A. M. Masclee ◽  
Erik J. Schoon ◽  
...  
Keyword(s):  
Area Under The Curve ◽  
Colorectal Polyps ◽  
Blue Laser ◽  
Classification Model ◽  
Misclassification Rate ◽  
Laser Imaging ◽  
Color Imaging ◽  
Additional Information ◽  
Blue Laser Imaging ◽  
Linked Color Imaging

Colorectal polyps are critical indicators of colorectal cancer (CRC). Blue Laser Imaging and Linked Color Imaging are two modalities that allow improved visualization of the colon. In conjunction with the Blue Laser Imaging (BLI) Adenoma Serrated International Classification (BASIC) classification, endoscopists are capable of distinguishing benign and pre-malignant polyps. Despite these advancements, this classification still prevails a high misclassification rate for pre-malignant colorectal polyps. This work proposes a computer aided diagnosis (CADx) system that exploits the additional information contained in two novel imaging modalities, enabling more informative decision-making during colonoscopy. We train and benchmark six commonly used CNN architectures and compare the results with 19 endoscopists that employed the standard clinical classification model (BASIC). The proposed CADx system for classifying colorectal polyps achieves an area under the curve (AUC) of 0.97. Furthermore, we incorporate visual explanatory information together with a probability score, jointly computed from White Light, Blue Laser Imaging, and Linked Color Imaging. Our CADx system for automatic polyp malignancy classification facilitates future advances towards patient safety and may reduce time-consuming and costly histology assessment.

scholarly journals Blue Laser Imaging-Bright Improves Endoscopic Recognition of Superficial Esophageal Squamous Cell Carcinoma

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Akira Tomie ◽  
Osamu Dohi ◽  
Nobuaki Yagi ◽  
Hiroaki Kitae ◽  
Atsushi Majima ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
White Light ◽  
Objective Evaluation ◽  
Blue Laser ◽  
Laser Imaging ◽  
Blue Laser Imaging ◽  
The Mean ◽  
White Light Imaging

Background/Aims. The aim of this study was to evaluate the endoscopic recognition of esophageal squamous cell carcinoma (ESCC) using four different methods (Olympus white light imaging (O-WLI), Fujifilm white light imaging (F-WLI), narrow band imaging (NBI), and blue laser imaging- (BLI-) bright).Methods.We retrospectively analyzed 25 superficial ESCCs that had been examined using the four different methods. Subjective evaluation was provided by three endoscopists as a ranking score (RS) of each image based on the ease of detection of the cancerous area. For the objective evaluation we calculated the color difference scores (CDS) between the cancerous and noncancerous areas with each of the four methods.Results. There was no difference between the mean RS of O-WLI and F-WLI. The mean RS of NBI was significantly higher than that of O-WLI and that of BLI-bright was significantly higher than that of F-WLI. Moreover, the mean RS of BLI-bright was significantly higher than that of NBI. Furthermore, in the objective evaluation, the mean CDS of BLI-bright was significantly higher than that of O-WLI, F-WLI, and NBI.Conclusion. The recognition of superficial ESCC using BLI-bright was more efficacious than the other methods tested both subjectively and objectively.

Blue laser imaging and linked color imaging improve the color difference value and visibility of colorectal polyps in underwater conditions

2020 ◽  
Vol 32 (5) ◽  
pp. 791-800 ◽  
Author(s):  
Yasushi Yamasaki ◽  
Keita Harada ◽  
Shumpei Yamamoto ◽  
Eriko Yasutomi ◽  
Shotaro Okanoue ◽  
...  
Keyword(s):  
Color Difference ◽  
Colorectal Polyps ◽  
Blue Laser ◽  
Laser Imaging ◽  
Color Imaging ◽  
Blue Laser Imaging ◽  
Linked Color Imaging

Comparison Between Linked Color Imaging and Blue Laser Imaging for Improving the Visibility of Flat Colorectal Polyps: A Multicenter Pilot Study

2019 ◽  
Vol 65 (7) ◽  
pp. 2054-2062
Author(s):  
Naohisa Yoshida ◽  
Takashi Hisabe ◽  
Hiroaki Ikematsu ◽  
Hiroshi Ishihara ◽  
Masaki Terasawa ◽  
...  
Keyword(s):  
Pilot Study ◽  
Colorectal Polyps ◽  
Blue Laser ◽  
Laser Imaging ◽  
Color Imaging ◽  
Blue Laser Imaging ◽  
Linked Color Imaging

scholarly journals Linked Color Imaging and Blue Laser Imaging for Upper Gastrointestinal Screening

2018 ◽  
Vol 51 (6) ◽  
pp. 513-526 ◽  
Author(s):  
Hiroyuki Osawa ◽  
Yoshimasa Miura ◽  
Takahito Takezawa ◽  
Yuji Ino ◽  
Tsevelnorov Khurelbaatar ◽  
...  
Keyword(s):  
Blue Laser ◽  
Laser Imaging ◽  
Color Imaging ◽  
Blue Laser Imaging ◽  
Linked Color Imaging ◽  
Upper Gastrointestinal

scholarly journals Blue Laser Imaging, Blue Light Imaging, and Linked Color Imaging for the Detection and Characterization of Colorectal Tumors

Gut and Liver ◽  
2019 ◽  
Vol 13 (2) ◽  
pp. 140-148 ◽  
Author(s):  
Naohisa Yoshida ◽  
Osamu Dohi ◽  
Ken Inoue ◽  
Ritsu Yasuda ◽  
Takaaki Murakami ◽  
...  
Keyword(s):  
Blue Light ◽  
Blue Laser ◽  
Colorectal Tumors ◽  
Laser Imaging ◽  
Color Imaging ◽  
Blue Laser Imaging ◽  
Linked Color Imaging

scholarly journals A prospective randomized study of colonoscopy using blue laser imaging and white light imaging in detection and differentiation of colonic polyps

2019 ◽  
Vol 07 (10) ◽  
pp. E1207-E1213 ◽  
Author(s):  
Tiing Leong Ang ◽  
James Weiquan Li ◽  
Yu Jen Wong ◽  
Yi-Lyn Jessica Tan ◽  
Kwong Ming Fock ◽  
...  
Keyword(s):  
White Light ◽  
Detection Rate ◽  
Colonic Polyps ◽  
Blue Laser ◽  
Adenoma Detection Rate ◽  
Laser Imaging ◽  
Polyp Detection Rate ◽  
Adenoma Detection ◽  
Blue Laser Imaging ◽  
White Light Imaging

Abstract Background and study aims Published data on blue laser imaging (BLI) for detection and differentiation of colonic polyps are limited compared to narrow band imaging (NBI). This study investigated whether BLI can increase the detection rate of colonic polyps and adenomas when compared to white light imaging (WLI), and examined use of NICE (NBI International Colorectal Endoscopic) and JNET (Japan NBI Expert Team) classifications with BLI. Patients and methods Patients aged 50 years and above referred for colonoscopy were randomized to BLI or WLI on withdrawal. Detected polyps were characterized using NICE and JNET classifications under BLI mode and correlated with histology. Primary outcome was adenoma detection rate. Secondary outcomes were utility of NICE and JNET classifications to predict histology using BLI. Results A total of 182 patients were randomized to BLI (92) or WLI (90). Comparing BLI with WLI, the polyp detection rate was 59.8 % vs 40.0 %, P = 0.008, and the adenoma detection rate was 46.2 % vs 27.8 %, P = 0.010. NICE 1 and JNET 1 diagnosed hyperplastic polyps with sensitivity of 87.18 % and specificity of 84.35 %. NICE 2 diagnosed low- (LGD) or high-grade dysplasia (HGD) with sensitivity of 92.31 % and specificity of 77.45 %. JNET 2A diagnosed LGD with sensitivity of 91.95 %, and specificity of 74.53 %. Four cases of focal HGD all had JNET 2A morphology. Conclusion BLI increased adenoma detection rate compared to WLI. NICE and JNET classifications can be applied when using BLI for endoscopic diagnosis of HP and LGD but histological confirmation remains crucial.

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