Literature DB >> 10394049

Hypointense and hyperintense lesions on magnetic resonance imaging in secondary-progressive MS patients.

H P Adams1, S Wagner, D F Sobel, L S Slivka, J C Sipe, J S Romine, E Beutler, J A Koziol.   

Abstract

Cranial magnetic resonance imaging (MRI) is widely used to monitor disease activity in clinical trials in multiple sclerosis (MS). The purpose of this study is to examine lesion burden as determined from hypointense regions on postcontrast T1-weighted scans (or black holes), and lesion burden on conventional T2-weighted scans, from a cohort of secondary progressive MS patients who participated in a placebo-controlled, randomized, double-blind cross-over trial assessing the therapeutic efficacy of cladribine. T2 lesion volumes and black hole volumes are approximately normal distributed when log-transformed, and are highly correlated (adjusted R2 = 0.63). Changes in clinical scores could be predicted with a reasonable degree of precision from baseline scores and changes in T2 lesion volumes (adjusted R2 values 0.52-0.7). Stratification schemes for clinical trials should include the acute proportion of the disease (enhancing T1 lesions), degree of permanent damage (black holes), and T2 lesion volume.

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Year:  1999        PMID: 10394049     DOI: 10.1159/000008069

Source DB:  PubMed          Journal:  Eur Neurol        ISSN: 0014-3022            Impact factor:   1.710


  6 in total

1.  Predictive value of lesions for relapses in relapsing-remitting multiple sclerosis.

Authors:  J A Koziol; S Wagner; D F Sobel; L S Slivka; J S Romine; J C Sipe; H P Adams
Journal:  AJNR Am J Neuroradiol       Date:  2001-02       Impact factor: 3.825

2.  Segmentation and quantification of black holes in multiple sclerosis.

Authors:  Sushmita Datta; Balasrinivasa Rao Sajja; Renjie He; Jerry S Wolinsky; Rakesh K Gupta; Ponnada A Narayana
Journal:  Neuroimage       Date:  2005-08-26       Impact factor: 6.556

Review 3.  MRI in multiple sclerosis: what's inside the toolbox?

Authors:  Mohit Neema; James Stankiewicz; Ashish Arora; Zachary D Guss; Rohit Bakshi
Journal:  Neurotherapeutics       Date:  2007-10       Impact factor: 7.620

Review 4.  Proton magnetic resonance spectroscopy in multiple sclerosis.

Authors:  Balasrinivasa R Sajja; Jerry S Wolinsky; Ponnada A Narayana
Journal:  Neuroimaging Clin N Am       Date:  2009-02       Impact factor: 2.264

5.  Improved assessment of multiple sclerosis lesion segmentation agreement via detection and outline error estimates.

Authors:  David S Wack; Michael G Dwyer; Niels Bergsland; Carol Di Perri; Laura Ranza; Sara Hussein; Deepa Ramasamy; Guy Poloni; Robert Zivadinov
Journal:  BMC Med Imaging       Date:  2012-07-19       Impact factor: 1.930

6.  MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?

Authors:  Christine Egger; Roland Opfer; Chenyu Wang; Timo Kepp; Maria Pia Sormani; Lothar Spies; Michael Barnett; Sven Schippling
Journal:  Neuroimage Clin       Date:  2016-11-20       Impact factor: 4.881

  6 in total

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