Evidence map›Paper›PMID 41316039›Full record

ArticleBMC medical imaging2025

Repeatability and reproducibility of hemodynamic measurements by intracranial 4D Flow MRI: a multi‑vendor and multi‑software cross‑over comparison study.

Mingfang Luo, Lini Liu, Rui Li, Daniel Giese, Binbin Sui, Yuting Wang

Abstract readComparative Study
In one paragraph

Article in BMC medical imaging, 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

6 authors.

Mingfang Luo *Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, Section 2, 1st Ring Road (West), Chengdu, 610072, China.
Lini Liu *Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, Section 2, 1st Ring Road (West), Chengdu, 610072, China.
Rui LiCenter for Biomedical Imaging Research, School of Biomedical Engineering, Tsinghua University, Beijing, China.
Daniel GieseResearch & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany.
Binbin SuiDepartment of Radiology, Beijing Hospital, Beijing, China.
Yuting WangDepartment of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, No. 32, Section 2, 1st Ring Road (West), Chengdu, 610072, China. wangyuting_330@163.com.

Funding

National Natural Science Foundation (Youth Project) 82202123
6 · The paper itself

Abstract

backgroundMultiple protocols for acquiring intracranial four-dimensional flow magnetic resonance (4D Flow MR) data and post-processing software employed to obtain hemodynamic parameters are available. However, insufficient validation exists to quantify the difference in measurements. This study aims to perform a comprehensive cross-comparison analysis of quantitative results from three major vendors and three post-processing software platforms.

methodsIntracranial 4D Flow MR was conducted on 20 healthy volunteers using three different 3.0T MRI scanners. For each subject, nine major intracranial arteries (a total of 180 arteries) were analyzed using three post-processing software platforms: CVI42, MASS, and TS FLOW. Key hemodynamic parameters-including flow rate, maximum velocity (Vmax), average velocity (Vavg), and delineated vessel area-was extracted. The study compared results across different vendors and software, and further assessed both intra-observer and inter-observer consistency.

resultsRegardless of the post-processing software used, no significant differences were observed in the flow rate across different scanners (p > 0.05), with ICC = 0.700-0.919 and equivalence testing results indicate the interchangeable use of all three scanners. For flow rate and Vmax, the MASS and CVI42 software were equivalent. For Vavg, TS FLOW and CVI42 were tested equivalent. For vessel area, various agreement was shown across software (ICC = 0.083-0.577). Additionally, the TS FLOW software exhibited repeatability and reproducibility (intra-observer ICC = 0.724-0.998; inter-observer ICC = 0.590-0.981).

conclusionsScanning protocols by different vendors appear to result in smaller variations in flow rate compared to using different post-processing software methods. It is recommended to employ single post-processing software or conduct software calibration when using multiple software platforms to ensure consistency in multi-center clinical studies.

Indexed as

Cerebrovascular CirculationHemodynamicsImaging, Three-DimensionalMagnetic Resonance AngiographyMagnetic Resonance ImagingSoftwareAdultBlood Flow VelocityCross-Over StudiesFemaleHealthy VolunteersHumansImage Processing, Computer-AssistedMaleReproducibility of ResultsYoung Adult4D FlowHemodynamicsIntracranial arteriesPhase-contrast magnetic resonance imaging

Identifiers

PMID41316039
PMCPMC12661791

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LicenceCC BY-NC-ND
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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.