Evidence map›Paper›PMID 27641243›Full record

ArticleScientific reports2016

Linked color imaging application for improving the endoscopic diagnosis accuracy: a pilot study.

Xiaotian Sun, Tenghui Dong, Yiliang Bi, Min Min, Wei Shen, Yang Xu, Yan Liu

4 registry-linked trialsAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03092414 naunknown statusnot on this mapstarted 2017, after this paper: background citation

CMV Criteria in the Detection of Gastric Diseases Using Linked Color Imaging

TypeinterventionalSponsorAffiliated Hospital to Academy of Military Medical SciencesRan2017 to 2017Enrolled2,000ConditionsGastric DiseaseArmsWLE and then LCI, LCI and then WLE
NCT03359343 unknown statusnot on this mapstarted 2017, after this paper: background citation

Computer-aided Classification of Colorectal Polyp by Using Linked Colour Imaging

TypeobservationalSponsorAffiliated Hospital to Academy of Military Medical SciencesRan2017 to 2018Enrolled250ConditionsColorectal Polyp, Linked Color Imaging, Computer-aided Diagnosis
NCT03661671 naunknown statusnot on this mapstarted 2018, after this paper: background citation

Application of Linked Color Imaging(LCI) in Diagnosis of Early Gastric Cancer(EGC): a Multicenter,Prospective, Randomized Controlled Study

TypeinterventionalSponsorChanghai HospitalRan2018 to 2019Enrolled2,400ConditionsEarly Gastric CancerArmsLCI+white light
NCT03990025 nacompletednot on this mapstarted 2019, after this paper: background citation

A Prospective Randomized Study of Linked Color Imaging and Conventional White Light Imaging in Gastroscopy for the Detection of Gastric Cancer Precursors

TypeinterventionalSponsorChangi General HospitalRan2019 to 2020Enrolled90ConditionsEarly Gastric Cancer, Barrett EsophagusArmsLinked Color Imaging, White Light Imaging
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  6. Article
  7. Article
  8. Characteristics of Superficial Gastric Neoplasms Detected Not by White Light Imaging but by Linked Color Imaging.JGH open : an open access journal of gastroenterology and hepatology · 2025
    Article
  9. Endoscopic appearances of gastric mucosa in different endoscopic models according to H. pylori infection status.JGH open : an open access journal of gastroenterology and hepatology · 2024
    Review
  10. Review
  11. Article
  12. Article
  13. Electronic chromo-endoscopy: technical details and a clinical perspective.Translational gastroenterology and hepatology · 2022
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Linked color imaging confers benefits in profilingEndoscopy international open · 2019
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiaotian SunDepartment of Gastroenterology, the 307 Hospital of Academy of Military Medical Science, Beijing 100171, China.
Tenghui DongDepartment of Gastroenterology, the 307 Hospital of Academy of Military Medical Science, Beijing 100171, China.
Yiliang BiDepartment of Gastroenterology, the 307 Hospital of Academy of Military Medical Science, Beijing 100171, China.
Min MinDepartment of Gastroenterology, the 307 Hospital of Academy of Military Medical Science, Beijing 100171, China.
Wei ShenDepartment of Gastroenterology, the 307 Hospital of Academy of Military Medical Science, Beijing 100171, China.
Yang XuDepartment of Gastroenterology, the 307 Hospital of Academy of Military Medical Science, Beijing 100171, China.
Yan LiuDepartment of Gastroenterology, the 307 Hospital of Academy of Military Medical Science, Beijing 100171, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ColonoscopyImaging, Three-DimensionalBiopsyColorDemographyFemaleHumansImage Processing, Computer-AssistedIntestinal MucosaLasersMaleMiddle AgedPilot ProjectsPolypsROC Curve

Identifiers

PMID27641243
PMCPMC5027569

What OpenQuestion holds

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LicenceCC BY
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.