Evidence map›Paper›PMID 39841291›Full record

ArticleNeuroinformatics2025

Blood Flow Velocity Analysis in Cerebral Perforating Arteries on 7T 2D Phase Contrast MRI with an Open-Source Software Tool (SELMA).

S D T Pham, C Chatziantoniou, J T van Vliet, R J van Tuijl, M Bulk, M Costagli, L de Rochefort, O Kraff, M E Ladd, K Pine and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuroinformatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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

16 authors.

S D T PhamTranslational Neuroimaging Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands. s.d.t.pham-2@umcutrecht.nl.
C ChatziantoniouDivision Imaging & Oncology, Image Sciences Institute, UMC Utrecht, Utrecht, The Netherlands.
J T van VlietTranslational Neuroimaging Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
R J van TuijlTranslational Neuroimaging Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
M BulkDepartment of Radiology, University Medical Center Leiden, Leiden, The Netherlands.
M CostagliDepartment of Neuroscience, Genetics, Maternal and Child Health, University of Genoa, RehabilitationGenoa, Ophthalmology, Italy.
L de RochefortAix Marseille University, CNRS, CRMBM, Marseille, France.
O KraffErwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany.
M E LaddMedical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
K PineDepartment of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
I RonenDepartment of Radiology, University Medical Center Leiden, Leiden, The Netherlands.
J C W SieroTranslational Neuroimaging Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
M TosettiLaboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy.
A VillringerDepartment of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
G J BiesselsDepartment of Neurology and Neurosurgery, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
J J M ZwanenburgTranslational Neuroimaging Group, Center for Image Sciences, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.

Funding

European Research Council 337333European Research Council 841865
6 · The paper itself

Abstract

Blood flow velocity in the cerebral perforating arteries can be quantified in a two-dimensional plane with phase contrast magnetic imaging (2D PC-MRI). The velocity pulsatility index (PI) can inform on the stiffness of these perforating arteries, which is related to several cerebrovascular diseases. Currently, there is no open-source analysis tool for 2D PC-MRI data from these small vessels, impeding the usage of these measurements. In this study we present the Small vessEL MArker (SELMA) analysis software as a novel, user-friendly, open-source tool for velocity analysis in cerebral perforating arteries. The implementation of the analysis algorithm in SELMA was validated against previously published data with a Bland-Altman analysis. The inter-rater reliability of SELMA was assessed on PC-MRI data of sixty participants from three MRI vendors between eight different sites. The mean velocity (v

Indexed as

Cerebral ArteriesCerebrovascular CirculationMagnetic Resonance ImagingSoftwareAdultAgedAlgorithmsBlood Flow VelocityFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedReproducibility of ResultsYoung Adult2D PC-MRIAnalysis toolBlood flow velocityPerforating arteriesPulsatility index

Identifiers

PMID39841291
PMCPMC11754306

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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.