Evidence map›Paper›PMID 40631477›Full record

ArticleJournal of gastric cancer2025

A Novel Digital Method for Accurate Endoscopic Size Measurement of Gastric Lesions: A Comparative Study With Visual and Forceps-Assisted Estimation.

Soyoung Yun, Bokyung Kim, Gihong Park, Ji Kon Ryu, Hyunsoo Chung

Abstract readComparative Study
In one paragraph

Article in Journal of gastric cancer, 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. Trial
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

5 authors.

Soyoung Yun *Department of Internal Medicine and Liver Research Institute, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID 0009-0007-5142-8970
Bokyung Kim *Department of Internal Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.ORCID 0000-0002-9143-9654
Gihong ParkDepartment of Internal Medicine and Liver Research Institute, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID 0009-0003-0632-2684
Ji Kon RyuDepartment of Internal Medicine and Liver Research Institute, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0001-8798-0491
Hyunsoo ChungDepartment of Internal Medicine and Liver Research Institute, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0001-5159-357X

Funding

KMDF RS-2021-KD000006
6 · The paper itself

Abstract

purposeAccurate measurement of the lesion size during endoscopy is crucial; however, it frequently relies on visual estimation, which is prone to errors. This study investigated these inaccuracies and introduced a novel depth-estimation algorithm (DEA) to evaluate its performance against conventional methods, visual estimation, and forceps-assisted estimation. MATERIALS AND

methodsNineteen endoscopists (6 experts, 13 novices) measured 15 artificial lesions (6-39 mm) within a 3-dimensional (3D)-printed stomach model using visual estimation (VE), forceps-assisted estimation (FE), and DEA. Measurement accuracy was evaluated using median percentage error (MdPE) and interquartile range (IQR). Subgroup analyses were conducted according to the endoscopist's experience and lesion size, location, and shape for each measurement method.

resultsVE resulted in the highest MdPE at 33.33% (IQR, 17.24%-60.00%), while FE showed greater accuracy at 30.00% (IQR, 11.11%-48.72%; P<0.01). Unlike experts, novices exhibited no significant improvement in FE compared to VE (P=0.09). Conventional methods have demonstrated high error rates for polyp-shaped lesions and those located in the fundus, middle to high body, or the greater curvature. DEA achieved the highest accuracy, with an MdPE of 7.78% (IQR, 3.33%-16.67%), significantly outperforming both VE and FE (P<0.01) regardless of lesion characteristics, and showed consistent performance across endoscopist experience (P=0.18).

conclusionsGiven the observed error patterns in VE, endoscopists should exercise caution when evaluating polyp-shaped lesions and those located in the proximal stomach and greater curvature. The DEA outperformed conventional methods, especially for novices. Its integration into endoscopic practice can enhance the precision of lesion size measurements, ultimately improving clinical decision-making and outcomes.

Indexed as

GastroscopyStomach NeoplasmsAlgorithmsClinical CompetenceHumansModels, AnatomicPrinting, Three-DimensionalSurgical InstrumentsDigital technologyEndoscopy, gastrointestinalQuality controlStomach neoplasms

Identifiers

PMID40631477
PMCPMC12260797

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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.