Diagnostic Accuracy Of Applying The Wasp Classification To Blue Light Imaging And Linked Color Imaging For Real-Time Colorectal Polyp Charaterisation

2021 ◽  
Author(s):  
BBSL Houwen ◽  
JLA Vleugels ◽  
M Pellisé ◽  
L Rivero-Sánchez ◽  
F Balaguer ◽  
...  
2022 ◽  
Vol 10 (01) ◽  
pp. E9-E18
Author(s):  
Britt B.S.L. Houwen ◽  
Jasper L.A. Vleugels ◽  
Maria Pellisé ◽  
Liseth Rivero-Sánchez ◽  
Francesc Balaguer ◽  
...  

Abstract Background and study aims Fujifilm has developed a novel ELUXEO 7000 endoscope system that employs light-emitting diodes (LEDs) at four different wavelengths as light sources that enable blue light imaging (BLI), linked color imaging (LCI), and high-definition white-light endoscopy (HD-WLE). The aim of this study was to address the diagnostic accuracy of real-time polyp characterization using BLI, LCI and HD-WLE (ELUXEO 7000 endoscopy system). Patients methods This is a prespecified post-hoc analysis of a prospective study in which 22 experienced endoscopists (> 2,000 colonoscopies) from eight international centers participated. Using a combination of BLI, LCI, and HD-WLE, lesions were endoscopically characterized including a high- or low-confidence statement. Per protocol, digital images were created from all three imaging modalities. Histopathology was the reference standard. Endoscopists were familiar with polyp characterization, but did not take dedicated training for purposes of this study. Results Overall, 341 lesions were detected in 332 patients. Of the lesions, 269 histologically confirmed polyps with an optical diagnosis were included for analysis (165 adenomas, 27 sessile serrated lesions, and 77 hyperplastic polyps). Overall, polyp characterization was performed with high confidence in 82.9 %. The overall accuracy for polyp characterization was 75.1 % (95 % confidence interval [CI] 69.5–80.1 %), compared with an accuracy of 78.0 % (95 % CI 72.0–83.2 %) for high confidence assignments. The accuracy for endoscopic characterization for diminutive polyps was 74.7 % (95 %CI 68.4–80.3 %), compared with an accuracy of 78.2 % (95 % CI 71.4–84.0 %) for high-confidence assignments. Conclusions The diagnostic accuracy of BLI, LCI, and HD-WLE by experienced endoscopist for real-time polyp characterization seems limited (NCT03344289).


2019 ◽  
Vol 156 (6) ◽  
pp. S-46-S-47
Author(s):  
Wai Keung Leung ◽  
Chuan-Guo Guo ◽  
Kwan-Lung Michael Ko ◽  
Wai Pan E. To ◽  
Lung-Yi Mak ◽  
...  

2019 ◽  
Vol 07 (11) ◽  
pp. E1448-E1454
Author(s):  
Taku Sakamoto ◽  
Yutaka Tomizawa ◽  
Hourin Cho ◽  
Hiroyuki Takamaru ◽  
Masau Sekiguchi ◽  
...  

Abstract Background and study aims Linked color imaging (LCI), a newly developed optical modality, enhances mucosal surface contrast. We aimed to evaluate the efficacy and feasibility of insertion-phase LCI in terms of additional benefit of colorectal polyp detection over that obtained with white light imaging (WLI). Patients and methods We consecutively enrolled eligible patients from November 2017 to June 2018. During colonoscopy, LCI or WLI was alternatively applied on scope insertion and LCI was applied on scope withdrawal. Patients were divided into two groups according to the protocolized difference of imaging modality used in the scope insertion phase (LCI and WLI groups). Group differences in clinical outcomes were evaluated. Results A total of 138 patients were enrolled in this study, with equal numbers of patients assigned to the LCI and WLI groups. Most of the lesions located in the proximal colon were detected during the withdrawal phase, without a difference in proportions between the two groups. However, in the LCI group, eight of 49 lesions (16 %) located in the sigmoid and rectosigmoid colon were only detected during the insertion phase, and no such lesions (0 %) were detected during the insertion phase in the WLI group (P = 0.045). Conclusions This study showed the efficacy and feasibility of LCI in improving colorectal polyp detection in the sigmoid colon, especially during insertion. Further studies are warranted to validate the results of our single-center study.


2019 ◽  
Vol 07 (07) ◽  
pp. E885-E892 ◽  
Author(s):  
Xiaotian Sun ◽  
Yiliang Bi ◽  
Bing Nong ◽  
Duanmin Hu ◽  
Xiaomin Sun ◽  
...  

Abstract Background and study aims There is a high prevalence of Helicobacter pylori infection. White light endoscopy (WLE) can be used for evaluating the mucosal lesions, but it does not have high diagnostic efficiency. Linked color imaging (LCI) is a newly developed endoscopic imaging technique. The aim of this study was to compare LCI with WLE in detecting and staging H. pylori infection in the stomach in a randomized controlled clinical trial. Patients and methods A total of 253 patients who had indications for gastroduodenoscopy were enrolled and randomized into Group A (n = 127), who underwent WLE followed by LCI, and Group B (n = 126), who underwent LCI followed by WLE. Clinical data were collected and the diagnostic accuracy of WLE and LCI was calculated and compared. Results The overall diagnostic accuracy of WLE and LCI for H. pylori infection was 31.5 % (n = 40) and 50.4 % (n = 64) in Group A (P = 0.001), and 36.5 % (n = 46) and 49.2 % (n = 62) in Group B (P = 0.029). In both groups, LCI had higher sensitivity, specificity, and Youden index scores than WLE. Four stages were defined in the course of H. pylori infection in the stomach. LCI staging results were more highly consistent with pathological staging than were WLE staging results (kappa value 0.772 vs. 0.516). The LCI observations were closely correlated with the pathology. Conclusion LCI had a higher diagnostic efficacy for H. pylori infection in the stomach. Endoscopic color features under LCI can help to stage and profile H. pylori-associated gastritis.


Author(s):  
Thom Scheeve ◽  
Ramon-Michel Schreuder ◽  
Fons van der Sommen ◽  
Joep E. G. IJspeert ◽  
Evelien Dekker ◽  
...  

2020 ◽  
Vol 91 (5) ◽  
pp. 1050-1057 ◽  
Author(s):  
Albert J. de Groof ◽  
Kiki N. Fockens ◽  
Maarten R. Struyvenberg ◽  
Roos E. Pouw ◽  
Bas L.A.M. Weusten ◽  
...  

Gut and Liver ◽  
2019 ◽  
Vol 13 (2) ◽  
pp. 140-148 ◽  
Author(s):  
Naohisa Yoshida ◽  
Osamu Dohi ◽  
Ken Inoue ◽  
Ritsu Yasuda ◽  
Takaaki Murakami ◽  
...  

2018 ◽  
Vol 56 (08) ◽  
pp. e364-e364
Author(s):  
J Weigt ◽  
A Link ◽  
P Malfertheiner ◽  
A Canbay

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