ISMRT Oral
Winning Clinical Oral Presentations
ISMRM & ISMRT Annual Meeting & Exhibition • 10-15 May 2025 • Honolulu, Hawai'i
| 12:00 |
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5406. Assessing
MRI Facility Damage Post-Hurricane: Best Practices and Safety
Considerations
L. Del Rey- Vasquez
EliteRAD Medical Imaging Training, PLLC. Bowes Imaging Center, Sarasota, FL, Sarasota, United States
Impact: This study offers actionable insights for MRI
facilities to bolster hurricane preparedness, ensuring
equipment safety and operational continuity by addressing
risks related to water intrusion, power loss, and magnet
quenching.
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| 12:10 |
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5407. Ultra-High
Contrast (UHC) MRI with bipolar filters: Obvious abnormalities
in normal appearing brain, spinal cord and optic nerve
P. Condron, D. Cornfeld, M. Bydder, T. Emsden, G. Newburn,
J. McGeown, G. Bydder
Mātai Medical Research Institute , Gisborne, New Zealand
Impact: Standard MRI often fails to depict abnormalities
despite changes in patient cognition, personality and/or
physical state. Abnormalities can be seen in this situation
with UHC MRI in otherwise normal-appearing brain, orbits and
spinal cord, allowing improved diagnosis and management.
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| 12:20 |
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5408. Predicting
Acute Stroke Risk Post-Carotid Artery Stenting Using Machine
Learning and MRI Plaque Imaging
T. Saho, J. Matsuzaki, S. Inoue, A. Maekawa, C. Hayashida,
T. Kubota
Kokura memorial hospital, Kitakyushu, Japan
Impact: The study's results enable clinicians to better
predict cerebral infarction risk post-carotid artery
stenting using machine learning, potentially improving
patient outcomes. It encourages further research into
AI-driven risk assessment, enhancing personalized medicine
and preoperative decision-making.
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