title: Linked color imaging application for improving the endoscopic diagnosis accuracy: a pilot study.
abstract: Endoscopy has been widely used in diagnosing gastrointestinal mucosal lesions. However, there are still lack of objective endoscopic criteria. Linked color imaging (LCI) is newly developed endoscopic technique which enhances color contrast. Thus, we investigated the clinical application of LCI and further analyzed pixel brightness for RGB color model. All the lesions were observed by white light endoscopy (WLE), LCI and blue laser imaging (BLI). Matlab software was used to calculate pixel brightness for red (R), green (G) and blue color (B). Of the endoscopic images for lesions, LCI had significantly higher R compared with BLI but higher G compared with WLE (all P < 0.05). R/(G + B) was significantly different among 3 techniques and qualified as a composite LCI marker. Our correlation analysis of endoscopic diagnosis with pathology revealed that LCI was quite consistent with pathological diagnosis (P = 0.000) and the color could predict certain kinds of lesions. ROC curve demonstrated at the cutoff of R/(G+B) = 0.646, the area under curve was 0.646, and the sensitivity and specificity was 0.514 and 0.773. Taken together, LCI could improve efficiency and accuracy of diagnosing gastrointestinal mucosal lesions and benefit target biopsy. R/(G + B) based on pixel brightness may be introduced as a objective criterion for evaluating endoscopic images.
authors.affiliation: Department of Gastroenterology, the 307 Hospital of Academy of Military Medical Science, Beijing 100171, China.|Department of Internal Medicine, Clinic of August First Film Studio, Beijing 100161, China.
authors.forename: Xiaotian
authors.initials: X
authors.lastname: Sun
authors.affiliation: Department of Gastroenterology, the 307 Hospital of Academy of Military Medical Science, Beijing 100171, China.
authors.forename: Tenghui
authors.initials: T
authors.lastname: Dong
authors.affiliation: Department of Gastroenterology, the 307 Hospital of Academy of Military Medical Science, Beijing 100171, China.
authors.forename: Yiliang
authors.initials: Y
authors.lastname: Bi
authors.affiliation: Department of Gastroenterology, the 307 Hospital of Academy of Military Medical Science, Beijing 100171, China.
authors.forename: Min
authors.initials: M
authors.lastname: Min
authors.affiliation: Department of Gastroenterology, the 307 Hospital of Academy of Military Medical Science, Beijing 100171, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Shen
authors.affiliation: Department of Gastroenterology, the 307 Hospital of Academy of Military Medical Science, Beijing 100171, China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Xu
authors.affiliation: Department of Gastroenterology, the 307 Hospital of Academy of Military Medical Science, Beijing 100171, China.
authors.forename: Yan
authors.initials: Y
authors.lastname: Liu
mesh_terms: D001706:Biopsy; D003113:Colonoscopy; D003116:Color; D003710:Demography; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D007413:Intestinal Mucosa / Q000473:pathology; D007834:Lasers; D008297:Male; D008875:Middle Aged; D010865:Pilot Projects; D011127:Polyps / Q000473:pathology; D012372:ROC Curve