Evidence map›Paper›PMID 41053943›Full record

ArticleJournal of gastroenterology and hepatology2025

Usefulness of Automated Analysis System for Microvascular Blood Flow Rate Using Magnifying Endoscopy in Early Gastric Cancer: A Multicenter Retrospective Study (With Video).

Yoichi Akazawa, Hiroya Ueyama, Shunsuke Nakamura, Yasuko Uemura, Tomoyo Iwano, Momoko Yamamoto, Hisanori Utsunomiya, Ryota Uchida, Daiki Abe, Shotaro Oki and 12 more

Abstract readMulticenter StudyVideo-Audio Media
In one paragraph

Article in Journal of gastroenterology and hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.

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

1 citing paper in PubMed.

  1. 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

22 authors.

Yoichi AkazawaDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9343-5262
Hiroya UeyamaDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5370-1009
Shunsuke NakamuraDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Yasuko UemuraDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Tomoyo IwanoDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Momoko YamamotoDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Hisanori UtsunomiyaDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Ryota UchidaDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Daiki AbeDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Shotaro OkiDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Nobuyuki SuzukiDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Atsushi IkedaDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Tsutomu TakedaDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Kumiko UedaDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Mariko HojoDepartment of Gastroenterology, Juntendo University School of Medicine, Tokyo, Japan.
Naoto IwaiMolecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.ORCID https://orcid.org/0000-0002-6943-1605
Osamu DohiMolecular Gastroenterology and Hepatology, Kyoto Prefectural University of Medicine, Graduate School of Medical Science, Kyoto, Japan.ORCID https://orcid.org/0000-0002-0498-0144
Takehiro IwasakiDepartment of Gastroenterology, Kochi Red Cross Hospital, Kochi, Japan.
Kunihisa UchitaDepartment of Gastroenterology, Kochi Red Cross Hospital, Kochi, Japan.
Shuko NojiriMedical Technology Innovation Center, 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.

Funding

FUJIFILM CorporationJSPS KAKENHI JP22K16029
6 · The paper itself

Abstract

BACKGROUND AND

aimEarly gastric cancer (EGC) diagnosis after Helicobacter pylori eradication and differentiation from patchy redness (PR) remains challenging. We developed a novel automated analysis system for microvascular blood flow rate using magnifying endoscopy. This study evaluated its diagnostic performance in differentiating EGC from PR compared with endoscopists in a multicenter setting.

methodsWe analyzed 76 magnifying endoscopy videos, including 36 EGCs and 40 PRs recorded at our institution. Lesions were diagnosed as cancer (EGC) or noncancer (PR) by the analysis system, based on the cut-off value calculated from the validation data set. Additionally, 30 endoscopists (15 experts and 15 trainees) from three institutions, all skilled in magnifying endoscopy diagnosis, participated. We compared the diagnostic performance between the analysis system and endoscopists.

resultsDiagnostic accuracy, sensitivity, specificity, positive predictive value, and negative predictive value (NPV) were 84.2%, 86.1%, 82.5%, 81.6%, and 86.8%, respectively, for the analysis system, and 84.2%, 80.2%, 87.3%, 83.2%, and 84.9%, respectively, for the endoscopists. Sensitivity and NPV of the analysis system tended to be higher than those of endoscopists. Additionally, the accuracy of the analysis system was comparable to that of all endoscopists and tended to be superior to that of trainees (84.2% [95% CI: 74.0%-91.6%] vs. 81.7% [95% CI: 79.4%-83.8%], respectively).

conclusionsThe automated analysis system for microvascular blood flow rate showed diagnostic performance equivalent to or superior to that of endoscopists skilled in magnifying endoscopy, suggesting its utility as a new diagnostic modality for differentiating EGC and PR in clinical practice.

Indexed as

Early Detection of CancerGastroscopyMicrocirculationMicrovesselsStomach NeoplasmsAgedAutomationFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesSensitivity and Specificityblood flow rateblue laser imagingearly gastric cancermagnifying endoscopypatchy rednesssubepithelial microvessel

Identifiers

PMID41053943
PMCPMC12581846

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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.