Evidence map›Paper›PMID 37309104›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2023

Comparison of Texture and Color Enhancement Imaging with White Light Imaging in 52 Patients with Short-Segment Barrett's Esophagus.

Atsushi Ikeda, Tsutomu Takeda, Hiroya Ueyama, Yasuko Uemura, Tomoyo Iwano, Momoko Yamamoto, Ryouta Uchida, Hisanori Utsunomiya, Shotaro Oki, Nobuyuki Suzuki and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

19 authors at 2 institutions in 1 country.

Atsushi IkedaDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Tsutomu TakedaDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.ORCID 0000-0003-3648-5452
Hiroya UeyamaDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Yasuko UemuraDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Tomoyo IwanoDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Momoko YamamotoDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Ryouta UchidaDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Hisanori UtsunomiyaDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Shotaro OkiDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Nobuyuki SuzukiDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.ORCID 0000-0001-8949-5553
Daiki AbeDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Noboru YatagaiDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Yoichi AkazawaDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Kumiko UedaDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Daisuke AsaokaDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Tomoyoshi ShibuyaDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Mariko HojoDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Shuko NojiriDepartment of Medical Technology Innovation Center, Juntendo University, Tokyo, Japan.
Akihito NagaharaDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Juntendo University · JPJuntendo University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Texture and color enhancement imaging (TXI), a new type of image-enhanced endoscopy, may improve the detection of gastrointestinal lesions. Barrett's esophagus (BE) requires an accurate diagnosis since it may undergo neoplastic transformation. We aimed to evaluate the usefulness of TXI compared with white light imaging (WLI) in BE. MATERIAL AND METHODS In this prospective study at a single hospital from February 2021 to February 2022, we enrolled 52 consecutive patients with BE. Endoscopic images of BE using WLI, TXI mode 1 (TXI-1), TXI mode 2 (TXI-2), and narrow-band imaging (NBI) were compared by 10 endoscopists (5 experts and 5 trainees). Endoscopists scored visibility for the images as follows: 5 (improved), 4 (somewhat improved), 3 (equivalent), 2 (somewhat decreased), and 1 (decreased). Total visibility scores for all 10 endoscopists, and subgroups composed of the 5 expert endoscopists and the 5 trainee endoscopists, were evaluated. Main-group (10 endoscopists) scores of ≥40, 21-39, and ≤20, and subgroup (5 endoscopists) scores of ≥20, 11-19, and ≤10, were considered "improved", "equivalent", and "decreased", respectively. Inter-rater reliability (intra-class correlation coefficient [ICC]) was calculated and images were objectively assessed based on L*a*b* color values and color differences (ΔE*). RESULTS All 52 cases were diagnosed as short-segment BE (SSBE). TXI-1/TXI-2 improved visibility compared with WLI was: 78.8%/32.7% for all endoscopists; 82.7%/40.4% for trainees; and 76.9%/34.6% for experts. NBI did not improve visibility. The ICC for TXI-1 and TXI-2 compared with WLI was "excellent" for all endoscopists. The ΔE* between esophageal and Barrett's mucosae, and between Barrett's and gastric mucosae, was higher for TXI-1 than for WLI (P<0.01, P<0.05, respectively). CONCLUSIONS TXI, especially TXI-1, improves the endoscopic diagnosis of SSBE compared with WLI, regardless of the endoscopist's skill.

Indexed as

Barrett EsophagusCell Transformation, NeoplasticHumansImage EnhancementProspective StudiesReproducibility of Results

Identifiers

PMID37309104
PMCPMC10276532
OpenAlexW4380369175

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.