Evidence map›Paper›PMID 36398944›Full record

Observational studyDigestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society2023

Detection of colorectal adenomas with texture and color enhancement imaging: Multicenter observational study.

Taku Sakamoto, Hiroaki Ikematsu, Naoto Tamai, Yasuhiko Mizuguchi, Hiroyuki Takamaru, Tatsuro Murano, Kensuke Shinmura, Maasa Sasabe, Hiroto Furuhashi, Kazuki Sumiyama and 1 more

Open access · hybridAbstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.9field-weighted citation impact, top 7% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 30 citations in OpenAlex.

  1. Trial
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  11. Texture and Color Enhanced Imaging in the Diagnosis of Colonic Neoplasia: A Systematic Review and Analysis.JGH open : an open access journal of gastroenterology and hepatology · 2025
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  12. Article
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  15. Review
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  20. Comparison of Texture and Color Enhancement Imaging with White Light Imaging in 52 Patients with Short-Segment Barrett's Esophagus.Medical science monitor : international medical journal of experimental and clinical research · 2023
    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

11 authors at 2 institutions in 1 country.

Taku SakamotoEndoscopy Division, National Cancer Center Hospital, Tokyo, Japan.
Hiroaki IkematsuDivision of Science and Technology for Endoscopy, National Cancer Center Hospital East, Chiba, Japan.ORCID https://orcid.org/0000-0001-9840-4588
Naoto TamaiDepartment of Endoscopy, The Jikei University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9183-7353
Yasuhiko MizuguchiEndoscopy Division, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1868-0692
Hiroyuki TakamaruEndoscopy Division, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-7019-6331
Tatsuro MuranoDepartment of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan.ORCID https://orcid.org/0000-0003-0423-2151
Kensuke ShinmuraDepartment of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan.ORCID https://orcid.org/0000-0001-8786-4634
Maasa SasabeDepartment of Gastroenterology and Endoscopy, National Cancer Center Hospital East, Chiba, Japan.ORCID https://orcid.org/0000-0001-5219-4706
Hiroto FuruhashiDepartment of Endoscopy, The Jikei University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-6487-7528
Kazuki SumiyamaDepartment of Endoscopy, The Jikei University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-7976-6070
Yutaka SaitoEndoscopy Division, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9574-7451
National Cancer Center Hospital East · JPJikei University School of Medicine · JP

Funding

Olympus
6 · The paper itself

Abstract

objectivesWe aimed to evaluate the efficacy of texture and color enhancement imaging (TXI), which allows the acquisition of brighter images with enhanced color and surface structure in colorectal polyp detection compared to white light imaging.

methodsPatients who underwent colonoscopy with repeated ascending colon observation using TXI and white light imaging between August 2020 and January 2021 were identified in three institutions. The outcomes included the mean number of adenomas detected per procedure (MAP), adenoma detection rate (ADR), and ascending colonic adenoma miss rate (Ac-AMR). Logistic regression was used to determine the effects of the variables on the outcomes.

resultsWe included 1043 lesions from 470 patients in the analysis. The MAP, ADR, flat polyp detection rate, and Ac-AMR in TXI and white light imaging were 1.5% (95% confidence interval 1.3-1.6%) vs. 1.0% (0.9-1.1%), 58.2% (51.7-64.6%) vs. 46.8% (40.2-53.4%), 66.2% (59.8-72.2%) vs. 49.8% (43.2-56.4%), and 17.9% (12.1-25.2%) vs. 28.2% (20.0-37.6%), respectively. TXI, age, withdrawal time, and endoscopy type were identified as significant factors affecting the MAP and the ADR using multivariate regression analysis.

conclusionsOur study indicates that TXI improve the detection of colorectal neoplastic lesions. However, prospective randomized trials are required to confirm these findings.

Indexed as

AdenomaColonic NeoplasmsColonic PolypsColorectal NeoplasmsColonoscopyColorHumansProspective Studiesadenomacolonoscopycolorectal neoplasmsdetectionimage enhancement

Identifiers

PMID36398944
PMCPMC12136281
OpenAlexW4309289809

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.