Through AI technology, Neurophet AQUA now provides multiple sclerosis (MS) analysis with a combination of lesion quantification and enhanced segmentation of T2-FLAIR MRI.
The Food and Drug Administration (FDA) has granted expanded 510(k) clearance for multiple sclerosis (MS) assessment with the magnetic resonance imaging (MRI)-based artificial intelligence (AI) software Neurophet AQUA.
Previously FDA-cleared for assessment of brain atrophy on MRI, Neurophet AQUA offers advanced analysis of MS and white matter hyperintensities based off of T2-weighted fluid-attention inversion recovery (FLAIR) MRI, according to Neurophet, the developer of Neurophet AQUA.
The company said key features of the AI-powered software’s MS analysis include:
• precise assessment of lesion count, volume and progression through enhanced quantification of lesions and structural changes;
• volumetric brain region assessment without the need for 3D T1 images; and
• bolstered segmentation of T2-weighted FLAIR images at 2D and 3D on 1.5T and 3T MRI platforms.
"MS is a neurological disorder that heavily relies on MRI for both diagnosis and disease monitoring, and the McDonald criteria, the diagnostic criteria for MS, specifically includes MRI confirmation of lesions disseminated in space and time," said Jake Junkil Been, the co-CEO of Neurophet. "Neurophet AQUA's advanced MS analysis technology significantly enhances efficiency and convenience for healthcare professionals, making it an indispensable tool in both diagnostic and prognostic stages."
FDA Grants Expanded 510(k) Clearance for Xenoview 3T MRI Chest Coil in GE HealthCare MRI Platforms
November 21st 2024Utilized in conjunction with hyperpolarized Xenon-129 for the assessment of lung ventilation, the chest coil can now be employed in the Signa Premier and Discovery MR750 3T MRI systems.
New Study Examines Agreement Between Radiologists and Referring Clinicians on Follow-Up Imaging
November 18th 2024Agreement on follow-up imaging was 41 percent more likely with recommendations by thoracic radiologists and 36 percent less likely on recommendations for follow-up nuclear imaging, according to new research.