Evidence map›Paper›PMID 40679616›Full record

ArticlePediatric radiology2025

Feasibility and accuracy of the fully automated three-dimensional echocardiography right ventricular quantification software in children: validation against cardiac magnetic resonance.

Qian Liu, Zhiwei Zheng, Yiwei Zhang, Anjun Wu, Jie Lou, Xin Chen, Yating Yuan, Mingxing Xie, Li Zhang, Peng Sun and 2 more

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Pediatric radiology, 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

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. 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

12 authors.

Qian Liu *Department of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Clinical Research Center for Medical Imaging in Hubei Province, Hubei Province Key Laboratory of Molecular Imaging, 1277 Jiefang Avenue, Wuhan, 430022, China.
Zhiwei Zheng *Department of Ultrasound, Wuhan No.1 Hospital, Wuhan, China.
Yiwei ZhangDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Clinical Research Center for Medical Imaging in Hubei Province, Hubei Province Key Laboratory of Molecular Imaging, 1277 Jiefang Avenue, Wuhan, 430022, China.
Anjun WuDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Clinical Research Center for Medical Imaging in Hubei Province, Hubei Province Key Laboratory of Molecular Imaging, 1277 Jiefang Avenue, Wuhan, 430022, China.
Jie LouDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Clinical Research Center for Medical Imaging in Hubei Province, Hubei Province Key Laboratory of Molecular Imaging, 1277 Jiefang Avenue, Wuhan, 430022, China.
Xin ChenDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Clinical Research Center for Medical Imaging in Hubei Province, Hubei Province Key Laboratory of Molecular Imaging, 1277 Jiefang Avenue, Wuhan, 430022, China.
Yating YuanDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Mingxing XieDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Clinical Research Center for Medical Imaging in Hubei Province, Hubei Province Key Laboratory of Molecular Imaging, 1277 Jiefang Avenue, Wuhan, 430022, China.
Li ZhangDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Clinical Research Center for Medical Imaging in Hubei Province, Hubei Province Key Laboratory of Molecular Imaging, 1277 Jiefang Avenue, Wuhan, 430022, China.
Peng SunDepartment of Emergency Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, Wuhan, 430022, China. sp761397@sina.com.
Wei SunDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Clinical Research Center for Medical Imaging in Hubei Province, Hubei Province Key Laboratory of Molecular Imaging, 1277 Jiefang Avenue, Wuhan, 430022, China. sunwei1992@hust.edu.cn.
Qing LvDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Clinical Research Center for Medical Imaging in Hubei Province, Hubei Province Key Laboratory of Molecular Imaging, 1277 Jiefang Avenue, Wuhan, 430022, China. lvqing1987@hust.edu.cn.

Funding

National Natural Science Foundation of China 82072137National Natural Science Foundation of China 82402304Natural Science Foundation of Hubei Province 2024AFB071Wuhan Science and Technology Innovation Bureau - Dawn project program 2023020201020499
6 · The paper itself

Abstract

backgroundPrevious studies have confirmed that fully automated three-dimensional echocardiography (3DE) right ventricular (RV) quantification software can accurately assess adult RV function. However, data on its accuracy in children are scarce.

objectiveThis study aimed to test the accuracy of the software in children using cardiac magnetic resonance (MR) as the gold standard. MATERIALS AND

methodsThis study prospectively enrolled 82 children who underwent both echocardiography and cardiac MR within 24 h. The RV end-diastolic volume (EDV), end-systolic volume (ESV), and ejection fraction (EF) were obtained using the novel 3DE-RV quantification software and compared with cardiac MR values across different groups.

resultsThe novel 3DE-RV quantification software was feasible in all 82 children (100%). Fully automated analysis was achieved in 35% patients with an analysis time of 8 ± 2 s and 100% reproducibility. Manual editing was necessary in the remaining 65% patients. The 3DE-derived RV volumes and EF correlated well with cardiac MR measurements (RVEDV, r=0.93; RVESV, r=0.90; RVEF, r=0.82; all P <0.001). Although the automated approach slightly underestimated RV volumes and overestimated RVEF compared with cardiac MR in the entire cohort, the bias was smaller in children with RVEF ≥ 45%, normal RV size, and good 3DE image quality.

conclusionFully automated 3DE-RV quantification software provided accurate and completely reproducible results in 35% children without any adjustment. The RV volumes and EF measured using the automated 3DE method correlated well with those from cardiac MR, especially in children with RVEF ≥ 45%, normal RV size, and good 3DE image quality. Therefore, the novel automated 3DE method may achieve rapid and accurate assessment of RV function in children with normal heart anatomy.

Indexed as

Echocardiography, Three-DimensionalHeart VentriclesImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMagnetic Resonance Imaging, CineSoftwareVentricular Dysfunction, RightAdolescentChildChild, PreschoolFeasibility StudiesFemaleHumansInfantMaleProspective StudiesArtificial intelligenceCardiac magnetic resonanceChildrenRight ventricular functionRight ventricular volumeThree-dimensional echocardiography

Identifiers

PMID40679616
PMCPMC12602562

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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.