Evidence map›Paper›PMID 34961825›Full record

ArticleJournal of healthcare engineering2021

Clone Selection Artificial Intelligence Algorithm-Based Positron Emission Tomography-Computed Tomography Image Information Data Analysis for the Qualitative Diagnosis of Serous Cavity Effusion in Patients with Malignant Tumors.

Jing Wei, Pingwei Li, Huai Zhang, Ronghua Zhu

Open access · hybridAbstract read
In one paragraph

Article in Journal of healthcare engineering, 2021. 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
0.1field-weighted citation impact, top 48% of its field
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 citations in OpenAlex.

  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

4 authors at 1 institution in 1 country.

Jing WeiDepartment of Nuclear Medicine, Huai'an First People's Hospital, 6 Beijing West Road, Huaiyin District, Huai'an 223300, Jiangsu, China.ORCID 0000-0003-3061-0830
Pingwei LiDepartment of Radiotherapy, Huai'an First People's Hospital, 6 Beijing West Road, Huaiyin District, Huai'an 223300, Jiangsu, China.ORCID 0000-0002-0075-6989
Huai ZhangDepartment of Nuclear Medicine, Huai'an First People's Hospital, 6 Beijing West Road, Huaiyin District, Huai'an 223300, Jiangsu, China.ORCID 0000-0002-3470-1142
Ronghua ZhuDepartment of Nuclear Medicine, Huai'an First People's Hospital, 6 Beijing West Road, Huaiyin District, Huai'an 223300, Jiangsu, China.ORCID 0000-0001-9715-1793
Huaian First People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the application of positron emission tomography- (PET-) computed tomography (CT) image information data combined with serous cavity effusion based on clone selection artificial intelligence algorithm in the diagnosis of patients with malignant tumors. A total of 97 patients with PET-CT scanning and empirically confirmed as serous cavity effusion were retrospectively analyzed in this study. The clone selection artificial intelligence algorithm was applied to register the PET-CT images, and the patients were rolled into a benign effusion group and a malignant effusion group according to the benign and malignant conditions of the serous cavity effusion. Besides, the causes of patients from the two groups were analyzed, and there was a comparison of their physiological conditions. Subsequently, CT values of different KeV, lipid/water, water/iodine, and water/calcium concentrations were measured, and the differences of the above quantitative parameters between benign and malignant serous cavity effusion were compared, as well as the registration results of the clone algorithm. The results showed that the registration time and misalignment times of clonal selection algorithm (13.88, 0) were lower than those of genetic algorithm (18.72, 8). There were marked differences in CT values of 40-60 keV and 130-140 keV between the two groups. The concentrations of lipid/water, water/iodine, and water/calcium in basal substances of the malignant effusion group were obviously higher than the concentrations of the benign effusion group (

Indexed as

Pleural Effusion, MalignantPositron Emission Tomography Computed TomographyAlgorithmsArtificial IntelligenceClone CellsData AnalysisDiagnosis, DifferentialHumansRetrospective StudiesSensitivity and Specificity

Identifiers

PMID34961825
PMCPMC8710161
OpenAlexW4200523626

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.