scholarly journals 855 Validating the Accuracy of Linked Color Imaging (LCI) in Assessing Mucosal Healing in Ulcerative Colitis Patients Using the Geboes Score

2019 ◽  
Vol 114 (1) ◽  
pp. S494-S495
Author(s):  
Hassan Ghoz ◽  
Michael Picco ◽  
Peter Abader ◽  
Murli Krishna ◽  
Bhaumik Brahmbhatt ◽  
...  
2019 ◽  
Vol 07 (08) ◽  
pp. E937-E943 ◽  
Author(s):  
Shuji Kanmura ◽  
Hitomi Hamamoto ◽  
Akihito Tanaka ◽  
Shiho Arima ◽  
Fumisato Sasaki ◽  
...  

Abstract Background and aims Recent studies recommend histological mucosal healing of intestinal tissue as a treatment goal in ulcerative colitis (UC). Linked-color imaging (LCI) is a new endoscopy system that enhances the color differences of the gastrointestinal mucosa. We investigated the efficacy of LCI in the evaluation of intestinal activity, including the histological activity in UC. Method A total of 21 UC patients who were evaluated by the LASEREO system (FUJIFILM Co., Tokyo, Japan) were enrolled from August to December in 2016. All of the target points were observed by conventional white-light imaging (WLI) and LCI and biopsied from the region of interest in each view. We quantified the color tones of 73 biopsied points on WLI and LCI using the L*a*b* color value (WLI-L, WLI-a, WLI-b, and LCI-L, LCI-a, LCI-b). We then investigated the relationships among the L*a*b* color values, endoscopic findings, and histological healing. Results The average LCI-a and LCI-b values of patients with high mucosal activity disease were significantly higher than in those with mucosal healing (P < 0.01), and only LCI-a was significantly correlated with the score for histological healing. With regard to the other color values (LCI-L and all WLI values), there were no statistically significant differences in terms of average color value and correlation between patients with high mucosal activity and those with mucosal healing. In addition, the difference in the average color values with LCI and WLI was 7.1 and 3.1, respectively. Conclusion LCI is more useful than WLI for the visualization and evaluation of mucosal inflammation in UC.


Author(s):  
Tomohisa Takagi ◽  
Kazuhiko Uchiyama ◽  
Mariko Kajiwara‐Kubota ◽  
Saori Kashiwagi ◽  
Yuki Toyokawa ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Shuji Kanmura ◽  
Akihito Tanaka ◽  
Kazuki Yutsudou ◽  
Kosuke Kuwazuru ◽  
Fukiko Komaki ◽  
...  

Ulcerative colitis (UC) is a chronic inflammatory bowel disease with unknown etiology. Recently, mucosal healing has emerged as an important therapeutic endpoint in UC. Linked color imaging (LCI) is a novel endoscopic system that enhances the color differences of the gastrointestinal mucosa. Our previous study emphasized the redness and yellowness of the lesion using LCI observation, which was useful for the evaluation of histological mucosal activity in UC. In this study, we aimed to evaluate the correlation between LCI observation and clinical relapse rate in UC patients. We retrospectively analyzed UC patients who underwent total colonoscopy between August 2016 and October 2018 at our facility with Mayo endoscopic scores of 0 or 1. We assessed the correlation between orange-like color lesion (defined as LCI-scarlet color lesions) and clinical relapse rate (requiring additional treatment for UC) during the 1-year follow-up period. Fifty-eight patients (22 female, 36 male; median age at diagnosis, 47.2 (18–80) years) who underwent colonoscopy were analyzed. During the 1-year follow-up period, clinical relapse was observed in 12 patients (20.1%) among which ten patients (83.3%) had an LCI-scarlet color lesions recognized by LCI. By contrast, 29 patients (63%) had no LCI-scarlet color lesions in the clinical remission group (n=46). There was a significant difference in LCI-scarlet color between the clinical relapse and remission groups, remaining significantly associated with clinical relapse. LCI findings, including an orange-like color lesion, have diagnostic implications for predicting the risk of clinical relapse in UC during the 1-year follow-up period.


2020 ◽  
Vol 14 (Supplement_1) ◽  
pp. S309-S309
Author(s):  
T Takagi ◽  
K Uchiyama ◽  
M Kajiwara ◽  
Y Azuma ◽  
S Takayama ◽  
...  

Abstract Background Endoscopic mucosal healing is considered as an important therapeutic goal in ulcerative colitis (UC) patients, and several endoscopic evaluations for colonic mucosa such as Mayo endoscopic subscore (MES) and Colitis Endoscopic Index of Severity (UCEIS) are used in clinical practice. Though the strict mucosal healing is defined as MES 0, the relapse of UC has been shown in the patients diagnosed as MES 0. In the present study, we aimed to investigate the efficacy of Linked Color Imaging (LCI), a novel endoscopic enhancement system, to predict long-term prognosis in UC patients diagnosed with MES 0. Methods Twenty-six patients with UC in clinical remission and diagnosed with MES 0 were enrolled. Endoscopic colonic images were assessed by LCI and UCEIS, using a LASEREO endoscopic system (FUJIFILM Co., Tokyo, Japan). Endoscopic LCI images were classified into three subgroups by LCI classification as previously reported. Briefly, LCI patterns were classified as A, no redness; B, redness with visible vessels; and C, redness without visible vessels. Forty months was defined as the time interval between endoscopic diagnosis and relapse of UC. Histological activity was scored according to the Geboes’ score (GS) and the active mucosa was defined by GS&gt;2B.1. Results LCI classification can further subdivide the colonic mucosa diagnosed as MES 0. The patients with LCI-A showed no relapse and the non-relapse rates compared with the patients with LCI-B showed significantly higher (p = 0.033), while the relapse rates of the patients with UCEIS 0 showed no difference compared with UCEIS 1 (p = 0.148). There was no statistical difference in the composition of LCI-A and relapse rate between active and inactive mucosa diagnosed by GS score. Conclusion Endoscopic LCI classification can further subdivide samples diagnosed MES 0. LCI can be a novel and surpassing approach to evaluate mucosal healing and predict the outcome in UC patients.


2017 ◽  
Vol 30 (2) ◽  
pp. 267-267 ◽  
Author(s):  
Tadakazu Hisamatsu ◽  
Akiko Ohno ◽  
Tomohiro Chiba

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