Volumetric analysis of MR images identifies effects of Parkinson ' s

MRI volumetric analysis based on a deep-learning segmentation algorithm helps assess intracranial and white-matter volumes in Parkinson's disease patients, according to research presented November 26 at the recent RSNA meeting. Parkinson's disease causes structural changes in subcortical brain volumes, and it's important to track these, noted a team led by Nikhil Gupta, MD, of Tirath Ram Shah Hospital in Delhi, India. Gupta's group assessed the ability of an MRI technique -- volumetric analysis based on a deep-learning segmentation -- to visualize volumetric abnormalities in Parkinson's patients compared to healthy controls. The team performed a study that included 100 patients with Parkinson's and 100 without the disease who underwent 3D T1-weighted MR imaging. The investigators then used InMed Prognostics' euroShield deep-learning algorithm to segment and calculate intracranial, white-matter, and gray-matter volumes and the volume of deep gray-matter structures. There were no significant differences in gray-matter or deep gray-matter volumes between the two groups, but intracranial volume was significantly higher in Parkinson's patients compared with controls (p = 0.01) -- a finding that was unique to the men in the study (p = 0.002). Gupta and colleagues also found that white-matter volume was significantly lower in Parkinson's patients compared with controls (p = 0.03), which was again only significant among men (p = 0.02). "As intracranial volume can be significantl...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: MRI Neuroradiology Source Type: news