Evidence map›Paper›PMID 41583374›Full record

ArticleEndoscopic ultrasound

A new classification of gastric submucosal tumors under EUS based on blood flow signals.

Huikai Li, Yujie Feng, Xiuxue Feng, Fei Gao, Enqiang Linghu

Abstract read
In one paragraph

Article in Endoscopic ultrasound. 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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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Huikai LiDepartment of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Yujie FengDepartment of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Xiuxue FengDepartment of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Fei GaoDepartment of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.
Enqiang LinghuDepartment of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Once gastrointestinal stromal tumor is suspected to have a malignant possibility, prompt medical intervention should be initiated. Neovascularization plays a significant role in the initiation and progressing of tumors. This study aims to investigate the morphology and distribution of blood vessels in submucosal tumors (SMTs), thereby providing theoretical support for vascular-targeted therapies. Methods: This study enrolled patients who underwent EUS at the First Medical Center of PLA General Hospital and stored images in the medical system, which were considered as SMTs with a definitive pathological diagnosis. The proportion of various blood flow signal under EUS was counted, and the correlation between blood flow signal and tumor pathology, ultrasonic features, location, and other factors was analyzed. Results: The overall occurrence rate of blood flow signal in SMTs was 69.4%. Appearance of blood flow signal of intratumor was 38.8%. Among them, spot-like, stripe-like, and patches-like were 26.5%, 10.2%, and 2.0%, respectively. As for peritumoral, the occurrence rate was 46.9% and was 36.7%, 6.1%, and 4.1% of the above 3 blood flow signals. The appearance of blood flow signals showed a significant correlation with the long diameter of the tumor ( Conclusions: We propose a new EUS classification of gastric SMTs based on blood flow morphology, revealing a significantly high occurrence rate of blood flow signals in these tumors.

Indexed as

Blood flow signalColor Doppler flow imaging (CDFI) modeEndoscopy ultrasoundGISTSMTsuper–minimally invasive surgery (SMIS)Vascular therapy

Identifiers

PMID41583374
PMCPMC12829626

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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.