Evidence map›Paper›PMID 39674984›Full record

ArticleThe international journal of cardiovascular imaging2025

Performance of respiratory gated 4D flow MRI with adaptive k-space reordering in healthy controls and aortic dissection: reproducibility and agreement with 2D phase contrast MRI.

Qingdi Wang, Xiaojing Guo, Emma Hornsey, Lucy McKenna, Leonid Churilov, Mark Brooks, George Matalanis, Jason Chuen, Eric Poon, Daniel Staeb and 3 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Qingdi WangDepartment of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, VIC, 3010, Australia. qingdiw@student.unimelb.edu.au.
Xiaojing GuoDepartment of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, VIC, 3010, Australia.
Emma HornseyDepartment of Radiology, Austin Health, Heidelberg, VIC, 3084, Australia.
Lucy McKennaDepartment of Radiology, Austin Health, Heidelberg, VIC, 3084, Australia.
Leonid ChurilovDepartment of Medicine, Melbourne Medical School, Royal Melbourne Hospital, The University of Melbourne, Heidelberg, VIC, Australia.
Mark BrooksDepartment of Radiology, Austin Health, Heidelberg, VIC, 3084, Australia.
George MatalanisDepartment of Surgery, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Fitzroy, VIC, 3065, Australia.
Jason ChuenDepartment of Surgery, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Fitzroy, VIC, 3065, Australia.
Eric PoonDepartment of Medicine, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, St Vincent's Hospital, The University of Melbourne, Fitzroy, VIC, 3065, Australia.
Daniel StaebMR Research Collaborations, Siemens Healthcare Pty Limited, Melbourne, VIC, 3153, Australia.
Ning JinCardiovascular MR Research & Development, Siemens Medical Solutions Inc, Cleveland, OH, 43210, USA.
Andrew OoiDepartment of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne, Melbourne, VIC, 3010, Australia.
Ruth P LimDepartment of Radiology, Austin Health, Heidelberg, VIC, 3084, Australia.

Funding

Royal Australian and New Zealand College of Radiologists 2017/RANZCR/002
6 · The paper itself

Abstract

A four-dimensional phase-contrast magnetic resonance imaging sequence with respiratory-controlled adaptive k-space reordering (ReCAR-4DPC) offers potential benefits of improved scan efficiency and motion robustness. The purpose of this study was to evaluate the reproducibility of flow measurement using this technique and to compare hemodynamic metrics obtained to two-dimensional phase contrast MRI (2DPC)-derived metrics of the thoracic aorta. ReCAR-4DPC was performed with identical scan parameters in 15 healthy volunteers (6M,9F, mean [range] 37 [23-47] years) and 11 patients with thoracic aortic dissection (6M,5F, 56 [31-81] years) and acquisition time was recorded. Peak systolic velocity (PSV), average flow (AF) and net forward volume (NFV) were quantified by two readers for ReCAR-4DPC at ascending, descending and diaphragmatic aorta levels. Reference standard 2DPC measurements at the same levels were performed by a separate experienced cardiovascular radiologist. ReCAR-4DPC intra-reader agreement, inter-reader agreement, inter-scan repeatability and concordance with 2DPC-derived metrics (all segments combined) were evaluated with Lin's concordance correlation coefficient (LCCC) and reduced major axis regression. The overall average ± SD MRI acquisition time of all subjects was 11:59 ± 3:57 min, with shorter average times (9:37 ± 1:57 min) in healthy volunteers compared to patients (15:13 ± 3:44 min). There was near-perfect intra-reader, inter-reader and inter-scan concordance (LCCC for all metrics > 0.97, > 0.98 and > 0.92 respectively) for ReCAR-4DPC. Concordance with 2DPC was also high (LCCC all > 0.89), with overall minimally lower PSV, AF and NFV values derived from ReCAR-4DPC compared to reference 2DPC derived metrics. ReCAR-4DPC is a reproducible and relatively fast approach for comprehensive measurement of thoracic aortic flow metrics, with robust correlation to conventional 2DPC.

Indexed as

Aorta, ThoracicAortic Aneurysm, ThoracicAortic DissectionHemodynamicsImage Interpretation, Computer-AssistedMagnetic Resonance AngiographyMagnetic Resonance ImagingPerfusion ImagingRespiratory-Gated Imaging TechniquesAdultAgedAged, 80 and overBlood Flow VelocityCase-Control StudiesFemaleHumans4D flowAortaCardiovascularReproducibility of resultsRespiratory-gated imaging techniques

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Registered trials

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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.