Introduction: Fast and accurate diagnosis of acute stroke is crucial to timely initiate reperfusion therapies. Conventional high-field (HF) MRI yields the highest accuracy in discriminating early ischaemia from haemorrhages and mimics. Rapid access to HF-MRI is often limited by contraindications or unavailability. Low-field (LF) MRI (<0.5T) can detect several types of brain injury, including ischaemic and haemorrhagic stroke. Implementing LF-MRI in acute stroke care may offer several advantages, including extended applicability, increased safety, faster administration, reduced staffing and costs. This multicentric prospective open-label trial aims to evaluate the diagnostic accuracy of LF-MRI, as a tool to guide treatment decision in acute stroke.

Methods And Analysis: Consecutive patients accessing the emergency department with suspected stroke dispatch will be recruited at three Italian study units: Azienda Sanitaria Locale (ASL) Abruzzo 1 and 2, Istituto di Ricerca e Cura a Carattere Scientifico (IRCCS) Humanitas Research Hospital. The estimated sample size is 300 patients. Anonymised clinical and LF-MRI data, along with conventional neuroimaging data, will be independently assessed by two external units: Marche Polytechnic University and 'G. Martino' Polyclinic University Hospital. Both units will independently adjudicate the best treatment option, while the latter will provide historical HF-MRI data to develop artificial intelligence algorithms for LF-MRI images interpretation (Free University of Bozen-Bolzano). Agreement with conventional neuroimaging will be evaluated at different time points: hyperacute, acute (24 hours), subacute (72 hours), at discharge and chronic (4 weeks). Further investigations will include feasibility study to develop a mobile stroke unit equipped with LF-MRI and cost-effectiveness analysis. This trial will provide necessary data to validate the use of LF-MRI in acute stroke care.

Ethics And Dissemination: The study was approved by the Research Ethics Committee of the Abruzzo Region (CEtRA) on 11 May 2023 (approval code: richyvgrg). Results will be disseminated in peer-reviewed journals and presented in academic conferences.

Trial Registration Number: NCT05816213; Pre-Results.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10831427PMC
http://dx.doi.org/10.1136/bmjopen-2023-075614DOI Listing

Publication Analysis

Top Keywords

low-field mri
8
acute stroke
8
point-of-care low-field
4
mri acute
4
stroke pocs
4
pocs protocol
4
protocol multicentric
4
multicentric prospective
4
prospective open-label
4
open-label study
4

Similar Publications

Improving quantification accuracy of a nuclear Overhauser enhancement signal at -1.6 ppm at 4.7 T using a machine learning approach.

Phys Med Biol

January 2025

Vanderbilt University Medical Center, 1161 21st Ave. S, Medical Center North, AAA-3112, Nashville, Tennessee, 37232-2102, UNITED STATES.

Objective: A new nuclear Overhauser enhancement (NOE)-mediated saturation transfer MRI signal at -1.6 ppm, potentially from choline phospholipids and termed NOE(-1.6), has been reported in biological tissues at high magnetic fields.

View Article and Find Full Text PDF

This study introduces a non-destructive, quantitative method using low-field MRI to assess moisture mobility and content distribution in cherry tomatoes. This study developed an advanced 3D non-local mean denoising model to enhance tissue feature analysis and applied an optimized TransUNet model for structural segmentation, obtaining multi-echo data from six tissue types. The structural T2 relaxation inversion was refined by integrating an ACS-CIPSO algorithm.

View Article and Find Full Text PDF

The goal of this study was to determine how radiologists' rating of image quality when using 0.5T Magnetic Resonance Imaging (MRI) compares to Computed Tomography (CT) for visualization of pathology and evaluation of specific anatomic regions within the paranasal sinuses. 42 patients with clinical CT scans opted to have a 0.

View Article and Find Full Text PDF

T* relaxometry of fetal brain structures using low-field (0.55T) MRI.

Magn Reson Med

December 2024

Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Purpose: Human brain development during gestation is complex, as both structure and function are rapidly forming. Structural imaging methods using MRI are well developed to explore these changes, but functional imaging tools are lacking. Low-field MRI is a promising modality to bridge this gap.

View Article and Find Full Text PDF

In this study, a novel acid-induced heat-set soy protein hydrolysate (SPH) gel was successfully developed. The effects of protein (7 and 8 wt%) and glucono-δ-lactone (GDL, 4, 6, 8, and 10 wt%) concentrations on its aggregation and gelation behaviors were investigated by evaluating the structural, rheological, textural, and physical properties of the SPH gel. The structural properties revealed that GDL promoted the formation of SPH aggregates and gels, primarily via disulfide bonds and hydrophobic interactions, which were closely related to the unfolding of the protein structure, exposed hydrophobic groups, decreased protein solubility, and increased particle size and turbidity during the heating process.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!