Evidence map›Paper›PMID 31399608›Full record

ArticleScientific reports2019

Extending Cardiac Functional Assessment with Respiratory-Resolved 3D Cine MRI.

Jing Liu, Yan Wang, Zhaoying Wen, Li Feng, Ana Paula Santos Lima, Vaikom S Mahadevan, Ann Bolger, David Saloner, Karen Ordovas

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  3. Measuring biventricular function and left atrial volume in a single five-dimensional whole-heart cardiovascular magnetic resonance scan at 0.55T.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
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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

9 authors at 3 institutions in 2 countries.

Jing LiuDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, United States. jing.liu@ucsf.edu.
Yan WangDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, United States.
Zhaoying WenDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, United States. zhaoying.wen@ucsf.edu.
Li FengDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States.ORCID http://orcid.org/0000-0002-8692-7645
Ana Paula Santos LimaDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, United States.
Vaikom S MahadevanDepartment of Cardiology, University of California San Francisco, San Francisco, California, United States.
Ann BolgerDepartment of Cardiology, University of California San Francisco, San Francisco, California, United States.
David SalonerDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, United States.ORCID http://orcid.org/0000-0002-6989-8547
Karen OrdovasDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, United States.
University of California, San Francisco · USMemorial Sloan Kettering Cancer Center · USSan Francisco VA Medical Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
4D MRI Development for Cardiovascular ImagingK25EB014914 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIU, JING · 2012 to 2016
$842k
Comprehensive quantitative magnetic resonance imaging in assessment of aortic valve diseaseR56HL133663 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIU, JING · 2016 to 2016
$367k
NCI NIH HHS P30 CA008748NHLBI NIH HHS R56 HL133663NIBIB NIH HHS K25 EB014914
6 · The paper itself

Abstract

This study aimed to develop a cardiorespiratory-resolved 3D magnetic resonance imaging (5D MRI: x-y-z-cardiac-respiratory) approach based on 3D motion tracking for investigating the influence of respiration on cardiac ventricular function. A highly-accelerated 2.5-minute sparse MR protocol was developed for a continuous acquisition of cardiac images through multiple cardiac and respiratory cycles. The heart displacement along respiration was extracted using a 3D image deformation algorithm, and this information was used to cluster the acquired data into multiple respiratory phases. The proposed approach was tested in 15 healthy volunteers (7 females). Cardiac function parameters, including the end-systolic volume (ESV), end-diastolic volume (EDV), stroke volume (SV), and ejection fraction (EF), were measured for the left and right ventricle in both end-expiration and end-inspiration. Although with the proposed 5D cardiac MRI, there were no significant differences (p > 0.05, t-test) between end-expiration and end-inspiration measurements of the cardiac function in volunteers, incremental respiratory motion parameters that were derived from 3D motion tracking, such as the depth, expiration and inspiration distribution, correlated (p < 0.05, correlation coefficient, Mann-Whitney) with those volume-based parameters of cardiac function and varied between genders. The obtained initial results suggested that this new approach allows evaluation of cardiac function during specific respiratory phases. Thus, it can enable investigation of effects related to respiratory variability and better assessment of cardiac function for studying respiratory and/or cardiac dysfunction.

Indexed as

AlgorithmsFemaleHeartHeart VentriclesHumansImaging, Three-DimensionalMagnetic Resonance Imaging, CineMaleRespirationStroke VolumeVentricular Function

Identifiers

PMID31399608
PMCPMC6689015
OpenAlexW2968758018

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.