Literature DB >> 19068408

Brain atrophy assessment in multiple sclerosis: importance and limitations.

Antonio Giorgio1, Marco Battaglini, Stephen M Smith, Nicola De Stefano.   

Abstract

The use of MR imaging-derived methods to provide sensitive and reproducible assessments of brain volume (eg, to estimate atrophy) has increased the interest in this measure as a reliable indicator of disease progression in many neurologic disorders, including multiple sclerosis (MS). After an overview of the most commonly used methods for assessing brain atrophy state and changes in MS, this article discusses the clinical relevance of the most recent developments and reflects on its interpretation in a complex disease such as MS. Some caveats of these measurements are considered and possible future approaches discussed for improving the potential of this measure in assessing and monitoring pathologic evolution and treatment efficacy in this disease.

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Year:  2008        PMID: 19068408     DOI: 10.1016/j.nic.2008.06.007

Source DB:  PubMed          Journal:  Neuroimaging Clin N Am        ISSN: 1052-5149            Impact factor:   2.264


  28 in total

1.  Postmortem validation of MRI cortical volume measurements in MS.

Authors:  Veronica Popescu; Roel Klaver; Adriaan Versteeg; Pieter Voorn; Jos W R Twisk; Frederik Barkhof; Jeroen J G Geurts; Hugo Vrenken
Journal:  Hum Brain Mapp       Date:  2016-03-04       Impact factor: 5.038

2.  Automated brain extraction from T2-weighted magnetic resonance images.

Authors:  Sushmita Datta; Ponnada A Narayana
Journal:  J Magn Reson Imaging       Date:  2011-04       Impact factor: 4.813

Review 3.  Clinical relevance of brain volume measures in multiple sclerosis.

Authors:  Nicola De Stefano; Laura Airas; Nikolaos Grigoriadis; Heinrich P Mattle; Jonathan O'Riordan; Celia Oreja-Guevara; Finn Sellebjerg; Bruno Stankoff; Agata Walczak; Heinz Wiendl; Bernd C Kieseier
Journal:  CNS Drugs       Date:  2014-02       Impact factor: 5.749

4.  A hybrid approach based on logistic classification and iterative contrast enhancement algorithm for hyperintense multiple sclerosis lesion segmentation.

Authors:  Antonio Carlos da Silva Senra Filho
Journal:  Med Biol Eng Comput       Date:  2017-11-18       Impact factor: 2.602

Review 5.  Upper Extremity Capability Tests in Multiple Sclerosis.

Authors:  R Gökçen Gözübatık Çelik
Journal:  Noro Psikiyatr Ars       Date:  2018       Impact factor: 1.339

6.  The Italian Neuroimaging Network Initiative (INNI): enabling the use of advanced MRI techniques in patients with MS.

Authors:  M Filippi; G Tedeschi; P Pantano; N De Stefano; P Zaratin; M A Rocca
Journal:  Neurol Sci       Date:  2017-03-14       Impact factor: 3.307

7.  Relationships of brain white matter microstructure with clinical and MR measures in relapsing-remitting multiple sclerosis.

Authors:  Antonio Giorgio; Jacqueline Palace; Heidi Johansen-Berg; Stephen M Smith; Stefan Ropele; Siegrid Fuchs; Mirja Wallner-Blazek; Christian Enzinger; Franz Fazekas
Journal:  J Magn Reson Imaging       Date:  2010-02       Impact factor: 4.813

8.  Power estimation for non-standardized multisite studies.

Authors:  Anisha Keshavan; Friedemann Paul; Mona K Beyer; Alyssa H Zhu; Nico Papinutto; Russell T Shinohara; William Stern; Michael Amann; Rohit Bakshi; Antje Bischof; Alessandro Carriero; Manuel Comabella; Jason C Crane; Sandra D'Alfonso; Philippe Demaerel; Benedicte Dubois; Massimo Filippi; Vinzenz Fleischer; Bertrand Fontaine; Laura Gaetano; An Goris; Christiane Graetz; Adriane Gröger; Sergiu Groppa; David A Hafler; Hanne F Harbo; Bernhard Hemmer; Kesshi Jordan; Ludwig Kappos; Gina Kirkish; Sara Llufriu; Stefano Magon; Filippo Martinelli-Boneschi; Jacob L McCauley; Xavier Montalban; Mark Mühlau; Daniel Pelletier; Pradip M Pattany; Margaret Pericak-Vance; Isabelle Cournu-Rebeix; Maria A Rocca; Alex Rovira; Regina Schlaeger; Albert Saiz; Till Sprenger; Alessandro Stecco; Bernard M J Uitdehaag; Pablo Villoslada; Mike P Wattjes; Howard Weiner; Jens Wuerfel; Claus Zimmer; Frauke Zipp; Stephen L Hauser; Jorge R Oksenberg; Roland G Henry
Journal:  Neuroimage       Date:  2016-04-01       Impact factor: 6.556

9.  Quantification of multiple-sclerosis-related brain atrophy in two heterogeneous MRI datasets using mixed-effects modeling.

Authors:  Blake C Jones; Govind Nair; Colin D Shea; Ciprian M Crainiceanu; Irene C M Cortese; Daniel S Reich
Journal:  Neuroimage Clin       Date:  2013-08-13       Impact factor: 4.881

10.  Gray Matter Pathology in MS: Neuroimaging and Clinical Correlations.

Authors:  Justin Morris Honce
Journal:  Mult Scler Int       Date:  2013-06-25
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