Evidence map›Paper›PMID 39284276›Full record

ArticleClinics (Sao Paulo, Brazil)2024

Clinical value of artificial intelligence 3D echocardiography in evaluating left atrial volume and pulmonary vein structure in patients with atrial fibrillation.

Xiaomin Yang, Shujun He, Yang Pang, Kun Rong

Abstract read
In one paragraph

Article in Clinics (Sao Paulo, Brazil), 2024. 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. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xiaomin YangDepartment of Cardiovascular Medicine, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai City, China.
Shujun HeDepartment of Ultrasound, Ezhou Central Hospital, Ezhou City, Hubei Province, China.
Yang PangDepartment of Cardiovascular Medicine, Shanghai Changzheng Hospital (The Second Affiliated Hospital of Naval Medical University), Shanghai City, China.
Kun RongDepartment of Ultrasound Diagnosis, Qingdao Special Servicemen Recuperation Center of PLA Navy, Qingdao City, Shandong Province, China. Electronic address: kittenRongkun@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo explore the clinical value of 3D Echocardiography (3DE) in evaluating the changes of left atrial volume and pulmonary vein structure in patients with Atrial Fibrillation (AF).

methodsClinical data were collected from 54 AF patients. Left Atrial Anteroposterior Diameter (LADap), Left Atrial left and right Diameter (LADml), and Left Atrial upper and lower Diameter (LADsi) were measured; the maximum Left Atrial Volume (LAVmax), minimum Left Atrial Volume (LAVmin), left atrial presystolic volume (LAVpre), and Cross-Sectional Area (CSA) of each pulmonary vein were analyzed. Passive Ejection Fraction (LAPEF) was calculated. The differences in left atrial volume and pulmonary vein structure between patients with AF and healthy people were compared, and the correlation between the indexes was analyzed. The diagnostic value of the above indicators for AF patients was analyzed.

resultsLADap, LADml, LADsi, LAVmax, LAVmin, LAVpre, LAPEF, LSPV CSA, LIPV CSA, RSPV CSA, and RIPV CSA of AF patients were significantly higher. There was a significant positive correlation between left atrial diameter and pulmonary vein structure. There was a significant positive correlation between left atrial volume and pulmonary vein structure. There was a negative correlation between LAPEF and pulmonary vein structure. LADap, LADml, LADsi, LAVmax, LAVmin, LAVpre, LAPEF, LSPV CSA, LIPV CSA, RSPV CSA, and RIPV CSA had a diagnostic value for AF patients.

conclusion3DE is applicable for evaluating left atrial volume and pulmonary vein structure in patients with AF.

Indexed as

Artificial IntelligenceAtrial FibrillationEchocardiography, Three-DimensionalHeart AtriaPulmonary VeinsAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedOrgan SizeReference ValuesReproducibility of ResultsAtrial FibrillationClinical valueLeft atrial volumePulmonary vein structureThree dimensional echocardiography

Identifiers

PMID39284276
PMCPMC11419795

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