Evidence map›Paper›PMID 35535230›Full record

ArticleComputational and mathematical methods in medicine2022

Adoption of Two-Dimensional Ultrasound Gastrointestinal Filling Contrast on Artificial Intelligence Algorithm in Clinical Diagnosis of Gastric Cancer.

Da Xu, Rong Liu, Huiping Xu, Zhijian Zhang, Wei Li, Yi Zhang, Wenjun Zhang

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

7 authors.

Da XuDepartment of Ultrasound Medicine, Wenjiang District People's Hospital, Chengdu, 611130 Sichuan, China.ORCID https://orcid.org/0000-0003-1736-8496
Rong LiuDepartment of Ultrasound Medicine, Wenjiang District People's Hospital, Chengdu, 611130 Sichuan, China.ORCID https://orcid.org/0000-0002-5717-7056
Huiping XuDepartment of Ultrasound Medicine, Wenjiang District People's Hospital, Chengdu, 611130 Sichuan, China.ORCID https://orcid.org/0000-0001-6700-1604
Zhijian ZhangDepartment of Ultrasound Medicine, Wenjiang District People's Hospital, Chengdu, 611130 Sichuan, China.ORCID https://orcid.org/0000-0002-1712-6756
Wei LiDepartment of Ultrasound Medicine, Wenjiang District People's Hospital, Chengdu, 611130 Sichuan, China.ORCID https://orcid.org/0000-0002-3423-7837
Yi ZhangDepartment of Ultrasound Medicine, Wenjiang District People's Hospital, Chengdu, 611130 Sichuan, China.ORCID https://orcid.org/0000-0003-1457-6986
Wenjun ZhangDepartment of Ultrasound Medicine, Wenjiang District People's Hospital, Chengdu, 611130 Sichuan, China.ORCID https://orcid.org/0000-0003-2286-4654

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research was aimed to explore the value of gastrointestinal filling contrast-enhanced ultrasound (CEUS) and computed tomography (CT-)-enhanced scanning based on artificial intelligence (AI) algorithm in the evaluation of gastric cancer staging. 102 patients with gastric cancer were selected as the research objects. All of them underwent CEUS of gastrointestinal filling and 64-slice spiral CT before surgery. In addition, an improved mean shift algorithm was proposed based on differential optical flow and deep convolutional neural network (D-CNN), which was applied in image processing. The predicted positive rate (PPR), sensitivity, specificity, and accuracy of gastric cancer in different stages by CEUS and CT were calculated using pathological diagnosis results as the gold standard. 17 patients with T1 stage, 41 patients with T2-T3 stage, and 35 patients with T4 stage were detected by CEUS. 13 patients with T1 stage, 34 patients with T2-T3 stage, and 30 patients with T4 stage were detected by CT enhanced examination. The PPRs of CEUS for T1, T2-T3, and T4 stages of gastric cancer were higher than those of CT enhanced (

Indexed as

Stomach NeoplasmsAlgorithmsArtificial IntelligenceContrast MediaHumansNeoplasm StagingUltrasonographyContrast Media

Identifiers

PMID35535230
PMCPMC9078808

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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.