Evidence map›Paper›PMID 33533505›Full record

ArticleJournal of gastroenterology and hepatology2021

Dynamic diagnosis of early gastric cancer with microvascular blood flow rate using magnifying endoscopy (with video): A pilot study.

Hiroya Ueyama, Noboru Yatagai, Atsushi Ikeda, Yoichi Akazawa, Hiroyuki Komori, Tsutomu Takeda, Kohei Matsumoto, Kumiko Ueda, Kenshi Matsumoto, Daisuke Asaoka and 3 more

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In one paragraph

Article in Journal of gastroenterology and hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

7 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

13 authors at 1 institution in 1 country.

Hiroya UeyamaDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5370-1009
Noboru YatagaiDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Atsushi IkedaDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Yoichi AkazawaDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Hiroyuki KomoriDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Tsutomu TakedaDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Kohei MatsumotoDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Kumiko UedaDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Kenshi MatsumotoDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Daisuke AsaokaDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Mariko HojoDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Takashi YaoDepartment of Human Pathology, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Akihito NagaharaDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Juntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimMagnifying endoscopy (ME) diagnostic algorithm for early gastric cancer (EGC) relies on qualitative features such as microvascular (MV) architecture and microsurface structure; however, it is a "static" diagnostic algorithm that uses still images. ME can visualize red blood cell flow within subepithelial microvessels in real time. Here, we evaluated the utility of using the MV blood flow rate in combination with ME for the diagnosis of EGC as a retrospective study.

methodsPatients with differentiated-type EGC (n = 10) or patchy redness (n = 10) underwent ME with blue laser imaging. The mean MV blood flow rates of EGC, patchy redness, and background mucosa were calculated by the mean movement distance of one tagging red blood cell using split images of ME with blue laser imaging videos. We compared the mean MV blood flow rate between EGC, patchy redness, and background mucosa and also calculated the MV blood flow imaging ratio (inside lesion/background mucosa) between EGC and patchy redness.

resultsMean MV blood flow rate was significantly lower in EGC (1481 μm/s; range 1057-1762) than in patchy redness (3859 μm/s; 2435-5899) or background mucosa (4140.6 μm/s; 2820-6247) (P < 0.01). The MV blood flow imaging ratio was significantly lower in EGC (0.39; 0.27-0.62) than in patchy redness (0.90; 0.78-1.1) (P < 0.01).

conclusionsDynamic diagnosis with MV blood flow rate using ME may be useful for the differential diagnosis of EGC and patchy redness. Endoscopic assessment of dynamic processes within the gastric mucosa may facilitate the diagnosis of EGC.

Indexed as

Stomach NeoplasmsGastroscopyHumansMicrocirculationNarrow Band ImagingPilot ProjectsRetrospective StudiesBlood flow rateBlue laser imagingEarly gastric cancerMagnifying endoscopy

Identifiers

PMID33533505
PMCPMC8359341
OpenAlexW3129093017

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Registered trials

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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.