Evidence map›Paper›PMID 41256968›Full record

ArticleJGH open : an open access journal of gastroenterology and hepatology2025

Preoperative Endoscopic Ultrasound Strain Elastography Has Limited Value for Predicting Intraoperative Pancreatic Texture: A Single-Operator Pilot Study.

Kengo Matsumoto, Akira Doi, Shiro Hayashi, Masashi Yamamoto, Koji Fukui, Masafumi Yamashita, Junzo Shimizu, Tsutomu Nishida

Abstract read
In one paragraph

Article in JGH open : an open access 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

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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

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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

8 authors.

Kengo MatsumotoDepartment of Gastroenterology Toyonaka Municipal Hospital Toyonaka Osaka Japan.ORCID https://orcid.org/0000-0002-1074-026X
Akira DoiDepartment of Gastroenterology Toyonaka Municipal Hospital Toyonaka Osaka Japan.
Shiro HayashiDepartment of Gastroenterology Toyonaka Municipal Hospital Toyonaka Osaka Japan.
Masashi YamamotoDepartment of Gastroenterology Toyonaka Municipal Hospital Toyonaka Osaka Japan.
Koji FukuiDepartment of Gastroenterology Toyonaka Municipal Hospital Toyonaka Osaka Japan.
Masafumi YamashitaDepartment of Gastroenterological Surgery Toyonaka Municipal Hospital Toyonaka Osaka Japan.
Junzo ShimizuDepartment of Gastroenterological Surgery Toyonaka Municipal Hospital Toyonaka Osaka Japan.ORCID https://orcid.org/0000-0002-6613-5341
Tsutomu NishidaDepartment of Gastroenterology Toyonaka Municipal Hospital Toyonaka Osaka Japan.ORCID https://orcid.org/0000-0003-4037-9003

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aims: Soft pancreatic texture is a key risk factor for postoperative pancreatic fistula (POPF). However, preoperative quantification remains difficult. Intraoperative palpation is the current standard for assessing pancreatic hardness; however, this technique is not feasible in robot-assisted surgery. We prospectively evaluated whether endoscopic ultrasound strain elastography (EUS-SE) could predict pancreatic hardness. Methods: Nine consecutive patients scheduled for pancreatectomies underwent preoperative EUS-SE. The strain ratio (SR) values from the nontumorous parenchyma were compared using intraoperative palpation (soft vs. hard). A receiver operating characteristic (ROC) analysis was used to determine the optimal SR cutoff. The associations between computed tomography (CT) attenuation, fibrosis, and postoperative outcomes were examined. Results: Six pancreases were classified as soft, and three pancreases were classified as hard. The median SR was identical in both groups (6.0; interquartile range [IQR] of 4.7-7.7 vs. 5.5-6.3; Conclusion: In this pilot study, preoperative EUS-SE did not predict intraoperative pancreatic textures. Strain-based elastography alone appears to be insufficient for hardness stratification and should be complemented by more quantitative modalities.

Indexed as

elasticity imaging techniquesendoscopic ultrasoundpalpationpancreas/diagnostic imagingstrain elastography

Identifiers

PMID41256968
PMCPMC12620559

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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.