Abstract WP247: Enhanced Detection of Acute Ischemic Stroke with Low-Field MRI
Introduction: Portable, low-field (LF) magnetic resonance imaging (MRI) has the potential to expand access to neuroimaging in environments where conventional MRI is limited. However, diffusion-weighted imaging (DWI) at LF is challenged by a low signal-to-noise ratio and gradient strength, which may limit diagnostic confidence in acute ischemic stroke (AIS) evaluation, particularly for very small strokes. To address this gap, we evaluated a combination of novel LF-MRI hardware and pulse sequences to enhance lesion detection. Methods: Patients with a suspected diagnosis of AIS were prospectively enrolled at three US centers and underwent single-direction DWI and apparent diffusion coefficient (ADC) imaging on a 0.064 T MRI (v1, Hyperfine Inc.). A multi-direction DWI sequence (comprising 3 orthogonal diffusion direcions) was developed for comparison. Additionally, a next-generation 0.064 T scanner with optimized gradient amplifiers, form factor, and cooling system was evaluated (v2, Hyperfine Inc.). Diagnostic accuracy and the lower limit of lesion detection was calculated for both single-direction and multi-direction images compared to ground-truth MRI (1.5-3 T). Results: A total of 95 patients ( n =62 confirmed ischemic stroke; n =33 stroke mimics) were included. On single-direction images, agreement between assessors regarding lesion detection was κ=0.72, and κ=0.84 on multi-direction images. The positive predictive value for differentiating AIS from stroke mimics was 78.2% on single-direction images and 95% for multi-direction trace maps. On single-direction images, a lesion volume cut-point of 0.6 mL yielded a sensitivity of 89% and specificity of 88%. For multi-direction trace maps, the lesion volume cut-point was 0.4 mL, with a corresponding sensitivity of 86% and specificity of 83%. Multi-direction imaging on the next generation v2 hardware improved image uniformity (p<0.05), reduced scan time by approximately 30% (15 vs. 11 min), and enabled the detection of lesions as small as 0.15 mL. Conclusions: Implementation of DWI optimization strategies on LF-MRI improves detection of very small strokes in a clinically feasible time frame. These advancements highlight the potential role of portable LF-MRI as a diagnostic tool for the evaluation of patients with suspected mild stroke or transient ischemic attack, particulalrly in locations that do not otherwise have ready access to MRI.
Authors
- Stephen Bacchi (ORCID: https://orcid.org/0000-0001-5130-8628)
- Matthew Rosen (ORCID: https://orcid.org/0000-0002-4164-8685)
- Shahid M. Nimjee (ORCID: https://orcid.org/0000-0002-0317-8731)
- Nándor Pintér (ORCID: https://orcid.org/0000-0002-7714-143X)
- Ian Johnson (ORCID: https://orcid.org/0000-0001-5951-6990)
- V Lee
- Vinay Jaikumar (ORCID: https://orcid.org/0000-0002-6677-1858)
- Kathryn E. Keenan (ORCID: https://orcid.org/0000-0001-9070-5255)
- Gordon Sze (ORCID: https://orcid.org/0000-0002-1143-8556)
- John E. Kirsch (ORCID: https://orcid.org/0000-0002-0389-9475)
- Olivia Nelson (ORCID: https://orcid.org/0000-0002-2930-138X)
- Hailey Brigger (ORCID: https://orcid.org/0009-0007-9075-7662)
- Jennifer D. Guo (ORCID: https://orcid.org/0009-0003-8438-2826)
- KW Muir
- Blair A. Parry
- Amelia Demopoulos
- Joshua Goldstein
- Adam de Havenon
- Annabel Sorby-Adams
- Adnan H. Siddiqui
- W. Taylor Kimberly
Institutions
- National Institute of Standards and Technology (US)
- Harvard University (US)
- Yale University (US)
- Massachusetts General Hospital (US)
- The Ohio State University (US)
- University at Buffalo, State University of New York (US)
- University of Glasgow (GB)
Publication Details
- Journal
- Stroke
- Published
- 2026-01-29
- DOI
- https://doi.org/10.1161/str.57.suppl_1.wp247
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00