Influence of Hematocrit Level on the Visibility of the Venous Network in Magnetic Susceptibility Imaging

NCT ID: NCT05192135

Last Updated: 2023-03-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

UNKNOWN

Total Enrollment

65 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-09-13

Study Completion Date

2023-12-31

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Magnetic susceptibility imaging is a magnetic resonance imaging (MRI) technique that uses the magnetic properties of tissues and the BOLD (blood oxygen level-dependent) effect. It allows a better visualization of venous structures and hemorrhagic lesions. These sequences are now used in clinical routine.

The extreme sensitivity of these sequences to the oxy/deoxyhemoglobin ratio makes it possible to describe a new MRI semiology, particularly in the context of cerebral ischemia. The interest of the analysis of the venous network signal, which can reflect cerebral perfusion, has been reported.

However, the influence of the hematocrit level on the signal of the venous network in magnetic susceptibility imaging has not been evaluated at present. It seems important to better define the influence of hematocrit level on the signal of the veins with this sequence to avoid potential diagnostic errors.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Stroke

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Patient whose age ≥ 18 years
* Patient referred to GHPSJ for suspected stroke
* Patient who had a brain MRI including the magnetic susceptibility sequence
* Patient for whom a blood count with hematocrit was performed at the same time (within 7 days between the MRI and the blood test)
* French-speaking patient

Exclusion Criteria

* Patient under guardianship or curatorship
* Patient deprived of liberty
* Patient under court protection
* Elimination of potential biases: recent injection (48 h) of gadolinium, pathology likely to modify the venous signal in magnetic susceptibility imaging (notably arterial occlusion or stenosis), high flow oxygenation, sickle cell disease, thalassemia.
* Patient objecting to the use of his/her data for this research
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Fondation Hôpital Saint-Joseph

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Responsibility Role SPONSOR

Principal Investigators

Learn about the lead researchers overseeing the trial and their institutional affiliations.

Sarah TOLEDANO, MD

Role: PRINCIPAL_INVESTIGATOR

Fondation Hôpital Saint-Joseph

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Groupe Hospitalier Paris Saint-Joseph

Paris, , France

Site Status

Countries

Review the countries where the study has at least one active or historical site.

France

References

Explore related publications, articles, or registry entries linked to this study.

Haacke EM, Mittal S, Wu Z, Neelavalli J, Cheng YC. Susceptibility-weighted imaging: technical aspects and clinical applications, part 1. AJNR Am J Neuroradiol. 2009 Jan;30(1):19-30. doi: 10.3174/ajnr.A1400. Epub 2008 Nov 27.

Reference Type BACKGROUND
PMID: 19039041 (View on PubMed)

Mittal S, Wu Z, Neelavalli J, Haacke EM. Susceptibility-weighted imaging: technical aspects and clinical applications, part 2. AJNR Am J Neuroradiol. 2009 Feb;30(2):232-52. doi: 10.3174/ajnr.A1461. Epub 2009 Jan 8.

Reference Type BACKGROUND
PMID: 19131406 (View on PubMed)

Chalian M, Tekes A, Meoded A, Poretti A, Huisman TA. Susceptibility-weighted imaging (SWI): a potential non-invasive imaging tool for characterizing ischemic brain injury? J Neuroradiol. 2011 Jul;38(3):187-90. doi: 10.1016/j.neurad.2010.12.006. Epub 2011 Feb 26.

Reference Type BACKGROUND
PMID: 21354625 (View on PubMed)

Wang Y, Shi T, Chen B, Lin G, Xu Y, Geng Y. Prominent Hypointense Vessel Sign on Susceptibility-Weighted Imaging Is Associated with Clinical Outcome in Acute Ischaemic Stroke. Eur Neurol. 2018;79(5-6):231-239. doi: 10.1159/000488587. Epub 2018 Apr 19.

Reference Type BACKGROUND
PMID: 29672289 (View on PubMed)

Horie N, Morikawa M, Nozaki A, Hayashi K, Suyama K, Nagata I. "Brush Sign" on susceptibility-weighted MR imaging indicates the severity of moyamoya disease. AJNR Am J Neuroradiol. 2011 Oct;32(9):1697-702. doi: 10.3174/ajnr.A2568. Epub 2011 Jul 28.

Reference Type BACKGROUND
PMID: 21799039 (View on PubMed)

Winchell AM, Taylor BA, Song R, Loeffler RB, Grundlehner P, Hankins JS, Wang WC, Ogg RJ, Hillenbrand CM, Helton KJ. Evaluation of SWI in children with sickle cell disease. AJNR Am J Neuroradiol. 2014 May;35(5):1016-21. doi: 10.3174/ajnr.A3794. Epub 2013 Nov 21.

Reference Type BACKGROUND
PMID: 24263696 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

HEMAT_SWI

Identifier Type: -

Identifier Source: org_study_id

More Related Trials

Additional clinical trials that may be relevant based on similarity analysis.