Evidence map›Paper›PMID 38016681›Full record

ArticleKorean journal of radiology2023

Feasibility of Free-Breathing, Non-ECG-Gated, Black-Blood Cine Magnetic Resonance Images With Multitasking in Measuring Left Ventricular Function Indices.

Pengfei Peng, Xun Yue, Lu Tang, Xi Wu, Qiao Deng, Tao Wu, Lei Cai, Qi Liu, Jian Xu, Xiaoqi Huang and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Korean journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Full free-breathing cardiovascular magnetic resonance imaging: enhancing efficiency and image quality in clinical practice.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    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

13 authors at 3 institutions in 2 countries.

Pengfei Peng *Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0001-8381-551X
Xun Yue *Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0003-2539-4811
Lu TangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0003-0403-7209
Xi WuDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0003-3497-413X
Qiao DengDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0001-7456-4851
Tao WuDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0002-0593-5070
Lei CaiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0009-0009-0732-6242
Qi LiuUIH America, Inc., Houston, TX, USA.ORCID 0000-0003-2852-7536
Jian XuUIH America, Inc., Houston, TX, USA.
Xiaoqi HuangDepartment of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular lmaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0001-8686-5010
Yucheng ChenDepartment of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0002-0601-8039
Kaiyue DiaoDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China. kaiyuediao@wchscu.cn.ORCID 0000-0002-6497-1020
Jiayu SunDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China. sunjiayu@wchscu.cn.ORCID 0000-0002-9552-6720
Sichuan University · CNUniversity of America · USChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Key Research and Development projects in Sichuan Province 2020YFS0123NSFC 82200553
6 · The paper itself

Abstract

objectiveTo clinically validate the feasibility and accuracy of cine images acquired through the multitasking method, with no electrocardiogram gating and free-breathing, in measuring left ventricular (LV) function indices by comparing them with those acquired through the balanced steady-state free precession (bSSFP) method, with multiple breath-holds and electrocardiogram gating. MATERIALS AND

methodsForty-three healthy volunteers (female:male, 30:13; mean age, 23.1 ± 2.3 years) and 36 patients requiring an assessment of LV function for various clinical indications (female:male, 22:14; 57.8 ± 11.3 years) were enrolled in this prospective study. Each participant underwent cardiac magnetic resonance imaging (MRI) using the multiple breath-hold bSSFP method and free-breathing multitasking method. LV function parameters were measured for both MRI methods. Image quality was assessed through subjective image quality scores (1 to 5) and calculation of the contrast-to-noise ratio (CNR) between the myocardium and blood pool. Differences between the two MRI methods were analyzed using the Bland-Altman plot, paired

resultsLV ejection fraction (LVEF) was not significantly different between the two MRI methods (

conclusionMultitasking-derived cine images obtained without electrocardiogram gating and breath-holding achieved similar image quality and accurate quantification of LVEF in healthy volunteers and patients.

Indexed as

Magnetic Resonance Imaging, CineVentricular Function, LeftAdultElectrocardiographyFeasibility StudiesFemaleHumansMagnetic Resonance ImagingMaleProspective StudiesReproducibility of ResultsYoung AdultCardiac functionCardiac magnetic resonanceLeft ventricular functionMultitasking

Identifiers

PMID38016681
PMCPMC10700987
OpenAlexW4389033173

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.