Literature DB >> 10551218

Relapsing-remitting multiple sclerosis: longitudinal analysis of MR images--lack of correlation between changes in T2 lesion volume and clinical findings.

Y Miki1, R I Grossman, J K Udupa, L Wei, M Polansky, L J Mannon, D L Kolson.   

Abstract

PURPOSE: To determine the relationship between T2 lesion volume and either disability measurements or change in T2 lesion volume over time in multiple sclerosis (MS).
MATERIALS AND METHODS: Eighteen patients (age range, 26-53 years) with clinically proved relapsing-remitting MS were examined every 6 months for over 2 years. Three-millimeter-thick contiguous images of the whole brain were obtained. T2 lesion volume was calculated with a highly reproducible volumetric computer method.
RESULTS: A substantial annual increase in T2 lesion volume, with a median annual increase of approximately 8%, was demonstrated. However, there was no significant correlation between absolute T2 lesion volume and either the absolute expanded disability status scale (EDSS) grade (P = .32) or the absolute ambulation index (AI) (P = .20). In addition, no significant correlation between change in T2 lesion volume and change in EDSS grade (P = .42) or AI (P = .37) was found. There was no significant correlation between T2 lesion volume and duration of disease (P = .08).
CONCLUSION: There is no significant correlation between T2 lesion volume and standardized disability measurements despite a substantial increase in T2 lesion volume over time. Patients have an increase in total T2 lesion volume in the brain regardless of their clinical status or disability measurements. T2 lesion volumes as outcomes in therapeutic clinical trials on MS should be viewed as secondary outcomes rather than as surrogate markers of clinical responses.

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Year:  1999        PMID: 10551218     DOI: 10.1148/radiology.213.2.r99oc01395

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  18 in total

1.  Dirty-appearing white matter in multiple sclerosis: volumetric MR imaging and magnetization transfer ratio histogram analysis.

Authors:  Yulin Ge; Robert I Grossman; James S Babb; Juan He; Lois J Mannon
Journal:  AJNR Am J Neuroradiol       Date:  2003 Nov-Dec       Impact factor: 3.825

Review 2.  Magnetic resonance spectroscopy in the monitoring of multiple sclerosis.

Authors:  Ponnada A Narayana
Journal:  J Neuroimaging       Date:  2005       Impact factor: 2.486

3.  Use of Magnetic Resonance Imaging as Well as Clinical Disease Activity in the Clinical Classification of Multiple Sclerosis and Assessment of Its Course: A Report from an International CMSC Consensus Conference, March 5-7, 2010.

Authors:  Stuart D Cook; Suhayl Dhib-Jalbut; Peter Dowling; Luca Durelli; Corey Ford; Gavin Giovannoni; June Halper; Colleen Harris; Joseph Herbert; David Li; John A Lincoln; Robert Lisak; Fred D Lublin; Claudia F Lucchinetti; Wayne Moore; Robert T Naismith; Carlos Oehninger; Jack Simon; Maria Pia Sormani
Journal:  Int J MS Care       Date:  2012

4.  Magnetization transfer imaging and proton MR spectroscopy in the evaluation of axonal injury: correlation with clinical outcome after traumatic brain injury.

Authors:  G Sinson; L J Bagley; K M Cecil; M Torchia; J C McGowan; R E Lenkinski; T K McIntosh; R I Grossman
Journal:  AJNR Am J Neuroradiol       Date:  2001-01       Impact factor: 3.825

5.  Whole-brain N-acetylaspartate concentration: correlation with T2-weighted lesion volume and expanded disability status scale score in cases of relapsing-remitting multiple sclerosis.

Authors:  Fabrice Bonneville; David M Moriarty; Belinda S Y Li; James S Babb; Robert I Grossman; Oded Gonen
Journal:  AJNR Am J Neuroradiol       Date:  2002-03       Impact factor: 3.825

6.  Magnetic resonance disease severity scale (MRDSS) for patients with multiple sclerosis: a longitudinal study.

Authors:  Jennifer Moodie; Brian C Healy; Guy J Buckle; Susan A Gauthier; Bonnie I Glanz; Ashish Arora; Antonia Ceccarelli; Shahamat Tauhid; Xue-Mei Han; Arun Venkataraman; Tanuja Chitnis; Samia J Khoury; Charles R G Guttmann; Howard L Weiner; Mohit Neema; Rohit Bakshi
Journal:  J Neurol Sci       Date:  2011-12-28       Impact factor: 3.181

7.  Local tissue damage assessed with statistical mapping analysis of brain magnetization transfer ratio: relationship with functional status of patients in the earliest stage of multiple sclerosis.

Authors:  Jean-Philippe Ranjeva; Bertrand Audoin; My Van Au Duong; My Van Au Duong; Danielle Ibarrola; Sylviane Confort-Gouny; Irina Malikova; Elisabeth Soulier; Patrick Viout; André Ali-Chérif; Jean Pelletier; Patrick Cozzone
Journal:  AJNR Am J Neuroradiol       Date:  2005-01       Impact factor: 3.825

8.  Brain metabolite profiles of T1-hypointense lesions in relapsing-remitting multiple sclerosis.

Authors:  Belinda S Y Li; Juleiga Regal; Brian J Soher; Lois J Mannon; Robert I Grossman; Oded Gonen
Journal:  AJNR Am J Neuroradiol       Date:  2003-01       Impact factor: 3.825

9.  Clinical and conventional MRI predictors of disability and brain atrophy accumulation in RRMS. A large scale, short-term follow-up study.

Authors:  Sarlota Mesaros; Maria A Rocca; Maria P Sormani; Arnaud Charil; Giancarlo Comi; Massimo Filippi
Journal:  J Neurol       Date:  2008-07-03       Impact factor: 4.849

10.  Diffusional kurtosis imaging of normal-appearing white matter in multiple sclerosis: preliminary clinical experience.

Authors:  Mariko Yoshida; Masaaki Hori; Kazumasa Yokoyama; Issa Fukunaga; Michimasa Suzuki; Koji Kamagata; Keigo Shimoji; Atsushi Nakanishi; Nobutaka Hattori; Yoshitaka Masutani; Shigeki Aoki
Journal:  Jpn J Radiol       Date:  2012-10-23       Impact factor: 2.374

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