Literature DB >> 7486866

Resolution-dependent estimates of lesion volumes in magnetic resonance imaging studies of the brain in multiple sclerosis.

M Filippi1, M A Horsfield, A Campi, S Mammi, C Pereira, G Comi.   

Abstract

In this study, we investigated the relationship between multiple sclerosis lesion volumes measured from magnetic resonance imaging scans and image-slice thickness. The lesion volume was computed using a semiautomated thresholding technique from axial scans of the brain of varying slice thickness. Ten patients were studied, and in all cases the computed lesion volume increased with decreasing slice thickness (p = 0.01). Linear extrapolation from our data allowed the lesion volume at very small slice thickness to be estimated; this was found to be on average 20% greater than that obtained using a slice thickness of 5 mm. Furthermore, there were considerable differences in the percentage of change in lesion volume from patient to patient, and it would appear that there is a larger variation with slice thickness for patients with smaller lesions and higher lesion loads.

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Year:  1995        PMID: 7486866     DOI: 10.1002/ana.410380509

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  14 in total

1.  Scan-rescan variation of measures derived from brain magnetization transfer ratio histograms obtained in healthy volunteers by use of a semi-interleaved magnetization transfer sequence.

Authors:  M Inglese; M A Horsfield; M Filippi
Journal:  AJNR Am J Neuroradiol       Date:  2001-04       Impact factor: 3.825

2.  Does high-field MR imaging have an influence on the classification of patients with clinically isolated syndromes according to current diagnostic mr imaging criteria for multiple sclerosis?

Authors:  M P Wattjes; M Harzheim; C K Kuhl; J Gieseke; S Schmidt; L Klotz; T Klockgether; H H Schild; G G Lutterbey
Journal:  AJNR Am J Neuroradiol       Date:  2006-09       Impact factor: 3.825

3.  Survey of the distribution of lesion size in multiple sclerosis: implication for the measurement of total lesion load.

Authors:  L Wang; H M Lai; A J Thompson; D H Miller
Journal:  J Neurol Neurosurg Psychiatry       Date:  1997-10       Impact factor: 10.154

4.  Higher sensitivity in the detection of inflammatory brain lesions in patients with clinically isolated syndromes suggestive of multiple sclerosis using high field MRI: an intraindividual comparison of 1.5 T with 3.0 T.

Authors:  Mike P Wattjes; Götz G Lutterbey; Michael Harzheim; Jürgen Gieseke; Frank Träber; Luisa Klotz; Thomas Klockgether; Hans H Schild
Journal:  Eur Radiol       Date:  2006-04-29       Impact factor: 5.315

5.  Precision and reliability for measurement of change in MRI lesion volume in multiple sclerosis: a comparison of two computer assisted techniques.

Authors:  P D Molyneux; P S Tofts; A Fletcher; B Gunn; P Robinson; H Gallagher; I F Moseley; G J Barker; D H Miller
Journal:  J Neurol Neurosurg Psychiatry       Date:  1998-07       Impact factor: 10.154

Review 6.  Magnetic resonance in monitoring the natural history of multiple sclerosis and the effects of treatment.

Authors:  M Filippi; M Rovaris; G Comi
Journal:  Ital J Neurol Sci       Date:  1996-12

7.  Changes in the normal appearing brain tissue and cognitive impairment in multiple sclerosis.

Authors:  M Filippi; C Tortorella; M Rovaris; M Bozzali; F Possa; M P Sormani; G Iannucci; G Comi
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-02       Impact factor: 10.154

8.  Measurement of Cortical Thickness and Volume of Subcortical Structures in Multiple Sclerosis: Agreement between 2D Spin-Echo and 3D MPRAGE T1-Weighted Images.

Authors:  A Vidal-Jordana; D Pareto; J Sastre-Garriga; C Auger; E Ciampi; X Montalban; A Rovira
Journal:  AJNR Am J Neuroradiol       Date:  2016-11-24       Impact factor: 3.825

Review 9.  Reproducibility and variability of quantitative magnetic resonance imaging markers in cerebral small vessel disease.

Authors:  François De Guio; Eric Jouvent; Geert Jan Biessels; Sandra E Black; Carol Brayne; Christopher Chen; Charlotte Cordonnier; Frank-Eric De Leeuw; Martin Dichgans; Fergus Doubal; Marco Duering; Carole Dufouil; Emrah Duzel; Franz Fazekas; Vladimir Hachinski; M Arfan Ikram; Jennifer Linn; Paul M Matthews; Bernard Mazoyer; Vincent Mok; Bo Norrving; John T O'Brien; Leonardo Pantoni; Stefan Ropele; Perminder Sachdev; Reinhold Schmidt; Sudha Seshadri; Eric E Smith; Luciano A Sposato; Blossom Stephan; Richard H Swartz; Christophe Tzourio; Mark van Buchem; Aad van der Lugt; Robert van Oostenbrugge; Meike W Vernooij; Anand Viswanathan; David Werring; Frank Wollenweber; Joanna M Wardlaw; Hugues Chabriat
Journal:  J Cereb Blood Flow Metab       Date:  2016-05-11       Impact factor: 6.200

10.  Effect of slice thickness on brain magnetic resonance image texture analysis.

Authors:  Sami J Savio; Lara C V Harrison; Tiina Luukkaala; Tomi Heinonen; Prasun Dastidar; Seppo Soimakallio; Hannu J Eskola
Journal:  Biomed Eng Online       Date:  2010-10-18       Impact factor: 2.819

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