Evidence map›Paper›PMID 38191711›Full record

ArticleEuropean radiology experimental2024

Time-of-flight and black-blood MRI to study intracranial arteries in rats.

Anne F Cayron, Olivia Bejuy, Maria Isabel Vargas, Didier J Colin, Tomohiro Aoki, Karl-Olof Lövblad, Philippe Bijlenga, Brenda R Kwak, Eric Allémann, Sandrine Morel

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in European radiology experimental, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05526352 (@neurIST), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 31% 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.

NCT05526352 recruitingnot on this map

@neurIST : Informatique biomédicale intégrée Pour la Gestion Des anévrismes cérébraux

Typeobservational_patient_registrySponsorUniversity Hospital, GenevaRan2015 to 2040Enrolled20,000ConditionsIntracranial Aneurysm
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

10 authors at 2 institutions in 3 countries.

Anne F CayronDepartment of Pathology and Immunology, Faculty of Medicine, University of Geneva, CMU, Rue Michel-Servet 1, CH-1211, Geneva, Switzerland.
Olivia BejuyCIBM Center for BioMedical Imaging, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Maria Isabel VargasDivision of Neuroradiology, Faculty of Medicine, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.
Didier J ColinSmall Animal Preclinical Imaging Platform, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Tomohiro AokiDepartment of Pharmacology, Jikei University School of Medicine, Tokyo, Japan.
Karl-Olof LövbladDivision of Neuroradiology, Faculty of Medicine, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.
Philippe BijlengaDivision of Neurosurgery, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.
Brenda R KwakDepartment of Pathology and Immunology, Faculty of Medicine, University of Geneva, CMU, Rue Michel-Servet 1, CH-1211, Geneva, Switzerland.
Eric AllémannSchool of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.
Sandrine MorelDepartment of Pathology and Immunology, Faculty of Medicine, University of Geneva, CMU, Rue Michel-Servet 1, CH-1211, Geneva, Switzerland. sandrine.morel@unige.ch.ORCID http://orcid.org/0000-0003-1538-3553
University of Geneva · CHJikei University School of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intracranial aneurysms (IAs) are usually incidentally discovered by magnetic resonance imaging (MRI). Once discovered, the risk associated with their treatment must be balanced with the risk of an unexpected rupture. Although clinical observations suggest that the detection of contrast agent in the aneurysm wall using a double-inversion recovery black-blood (BB) sequence may point to IA wall instability, the exact meaning of this observation is not understood. Validation of reliable diagnostic markers of IA (in)stability is of utmost importance to deciding whether to treat or not an IA. To longitudinally investigate IA progression and enhance our understanding of this devastating disease, animal models are of great help. The aim of our study was to improve a three-dimensional (3D)-time-of-flight (TOF) sequence and to develop a BB sequence on a standard preclinical 3-T MRI unit to investigate intracranial arterial diseases in rats. We showed that our 3D-TOF sequence allows reliable measurements of intracranial artery diameters, inter-artery distances, and angles between arteries and that our BB sequence enables us to visualize intracranial arteries. We report the first BB-MRI sequence to visualize intracranial arteries in rats using a preclinical 3-T MRI unit. This sequence could be useful for a large community of researchers working on intracranial arterial diseases.Relevance statement We developed a black-blood MRI sequence to study vessel wall enhancement in rats with possible application to understanding IAs instability and finding reliable markers for clinical decision-making.Key points• Reliable markers of aneurysm stability are needed for clinical decision.• Detection of contrast enhancement in the aneurysm wall may be associated with instability.• We developed a black-blood MRI sequence in rats to be used to study vessel wall enhancement of IAs.

Indexed as

AneurysmIntracranial Arterial DiseasesAnimalsArteriesMagnetic Resonance AngiographyModels, AnimalRatsAneurysmIntracranial arterial diseasesMagnetic resonance angiographyMagnetic resonance imagingRats

Identifiers

PMID38191711
PMCPMC10774247
OpenAlexW4390686115

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.