FRONT PAGE AMPYRA AUBAGIO AVONEX BETASERON COPAXONE EXTAVIA
Stan's Angels MS News Channel on YouTube GILENYA NOVANTRONE REBIF RITUXAN TECFIDERA TYSABRI
 Daily News for Neuros, Nurses & Savvy MSers: 208,152 Viewers, 8,368 Stories & Studies
Click Here For My Videos, Advice, Tips, Studies and Trials.
Timothy L. Vollmer, MD
Department of Neurology
University of Colorado Health Sciences Center Professor

Co-Director of the RMMSC at Anschutz Medical Center

Medical Director-Rocky Mountain MS Center
Click here to read my columns
Brian R. Apatoff, MD, PhD
Multiple Sclerosis Institute
Center for Neurological Disorders

Associate Professor Neurology and Neuroscience,

Weill Medical College of Cornell University

Clinical Attending in Neurology,
New York-Presbyterian Hospital
CLICK ON THE RED BUTTON BELOW
You'll get FREE Breaking News Alerts on new MS treatments as they are approved
MS NEWS ARCHIVES: by week

HERE'S A FEW OF OUR 6000+ Facebook & MySpace FRIENDS
Timothy L. Vollmer M.D.
Department of Neurology
University of Colorado Health Sciences Center
Co-Director of the RMMSC at Anschutz Medical Center
and
Medical Director-Rocky Mountain MS Center


Click to view 1280 MS Walk photos!

"MS Can Not
Rob You of Joy"
"I'm an M.D....my Mom has MS and we have a message for everyone."
- Jennifer Hartmark-Hill MD
Beverly Dean

"I've had MS for 2 years...this is the most important advice you'll ever hear."
"This is how I give myself a painless injection."
Heather Johnson

"A helpful tip for newly diagnosed MS patients."
"Important advice on choosing MS medication "
Joyce Moore


This page is powered by Blogger. Isn't yours?

Monday

 

Lesion filling effect in regional brain volume estimations: a study in MS patients with low lesion load: STUDY
























Image Source: MRBRAINLESIONS

Abstract

Introduction:
Regional brain volume estimation in multiple sclerosis (MS) patients is prone to error due to white matter lesions being erroneously segmented as grey matter. The Lesion Segmentation Toolbox (LST) is an automatic tool that estimates a lesion mask based on 3D T2-FLAIR images and then uses this mask to fill the structural MRI image. The goal of this study was (1) to test the LST for estimating white matter lesion volume in a cohort of MS patients using 2D T2-FLAIR images, and (2) to evaluate the performance of the optimized LST on image segmentation and the impact on the calculated grey matter fraction (GMF).

Methods:
The study included 110 patients with a clinically isolated syndrome and 42 with a relapsing-remitting MS scanned on a 3.0-T MRI system. In a subset of consecutively selected patients, the lesion mask was semi-manually delineated over T2-FLAIR images. After establishing the optimized LST parameters, the corresponding regional fractions were calculated for the original, filled, and masked images.

Results:
A high agreement (intraclass correlation coefficient (ICC) = 0.955) was found between the (optimized) LST and the semi-manual lesion volume estimations. The GMF was significantly smaller when lesions were masked (mean difference −0.603, p < 0.001) or when the LST filling technique was used (mean difference −0.598, p < 0.001), compared to the GMF obtained from the original image.

Conclusion:
LST lesion volume calculation seems reliable. GMFs are significantly reduced when a method to correct the contribution of MS lesions is used, and it may have an impact in assessing GMF differences between clinical cohorts.

Story Source: The above story is based on materials provided by SPRINGERLINK
Note: Materials may be edited for content and length

Labels:



Go to Newer News Go to Older News