Literature DB >> 9489530

MRI lesion volume measurement in multiple sclerosis and its correlation with disability: a comparison of fast fluid attenuated inversion recovery (fFLAIR) and spin echo sequences.

M L Gawne-Cain1, J I O'Riordan, A Coles, B Newell, A J Thompson, D H Miller.   

Abstract

OBJECTIVES: To assess whether multiple sclerosis lesion volume measurements derived using the fast fluid attenuated inversion recovery (fFLAIR) sequence show better reproducibility or correlation with disability than those derived using the conventional spin echo (CSE) sequence.
METHODS: Part I: twenty five patients with multiple sclerosis were scanned with CSE, fast spin echo (FSE), and fFLAIR. Lesion volume was determined twice for each sequence using a local threshold segmentation technique. Part II: fifty six patients with multiple sclerosis were scanned with CSE and fFLAIR. Total and regional brain lesion volumes were compared with the Kurtzke extended disability scale (EDSS) and functional systems scores (FSS).
RESULTS: Part I: analysis times were significantly longer for CSE than for FSE or fFLAIR. There was no significant difference in the reproducibility of the three sequences. Part II: total lesion volumes were similar but posterior fossa lesion volumes were significantly greater for CSE and subcortical lesion volumes significantly greater for fFLAIR. There was a significant correlation between total volume and EDSS with both sequences (CSE r=0.49; fFLAIR r=0.44). Correlations for the two sequences showed minor differences when anatomical region and FSS were considered separately.
CONCLUSIONS: CSE, FSE, and fFLAIR are equally reproducible; FSE yields lower volumes than CSE; fFLAIR gives similar volumes to CSE but underscores the posterior fossa. Overall clinical correlations are similar for CSE and fFLAIR.

Entities:  

Mesh:

Year:  1998        PMID: 9489530      PMCID: PMC2169948          DOI: 10.1136/jnnp.64.2.197

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  32 in total

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Authors:  R T Constable; J C Gore
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2.  Use of fluid attenuated inversion recovery (FLAIR) pulse sequences in MRI of the brain.

Authors:  J V Hajnal; D J Bryant; L Kasuboski; P M Pattany; B De Coene; P D Lewis; J M Pennock; A Oatridge; I R Young; G M Bydder
Journal:  J Comput Assist Tomogr       Date:  1992 Nov-Dec       Impact factor: 1.826

Review 3.  Factors influencing contrast in fast spin-echo MR imaging.

Authors:  R T Constable; A W Anderson; J Zhong; J C Gore
Journal:  Magn Reson Imaging       Date:  1992       Impact factor: 2.546

4.  The Disability Status Scale for multiple sclerosis: apologia pro DSS sua.

Authors:  J F Kurtzke
Journal:  Neurology       Date:  1989-02       Impact factor: 9.910

5.  Magnetic resonance imaging in monitoring the treatment of multiple sclerosis: concerted action guidelines.

Authors:  D H Miller; F Barkhof; I Berry; L Kappos; G Scotti; A J Thompson
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6.  Interferon beta-1b in secondary progressive multiple sclerosis--outline of the clinical trial.

Authors:  C H Polman; F Dahlke; A J Thompson; M Ghazi; L Kappos; C Miltenburger; C Pozilli
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7.  Correction of intensity nonuniformity in MR images of any orientation.

Authors:  D A Wicks; G J Barker; P S Tofts
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8.  New diagnostic criteria for multiple sclerosis: guidelines for research protocols.

Authors:  C M Poser; D W Paty; L Scheinberg; W I McDonald; F A Davis; G C Ebers; K P Johnson; W A Sibley; D H Silberberg; W W Tourtellotte
Journal:  Ann Neurol       Date:  1983-03       Impact factor: 10.422

9.  Patterns of disease activity in multiple sclerosis: clinical and magnetic resonance imaging study.

Authors:  A J Thompson; A G Kermode; D G MacManus; B E Kendall; D P Kingsley; I F Moseley; W I McDonald
Journal:  BMJ       Date:  1990-03-10

10.  Interferon beta-1b is effective in relapsing-remitting multiple sclerosis. II. MRI analysis results of a multicenter, randomized, double-blind, placebo-controlled trial. UBC MS/MRI Study Group and the IFNB Multiple Sclerosis Study Group.

Authors:  D W Paty; D K Li
Journal:  Neurology       Date:  1993-04       Impact factor: 9.910

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  14 in total

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Authors:  Yulin Ge; Robert I Grossman; James S Babb; Juan He; Lois J Mannon
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2.  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

3.  Prognostic value of multimodal evoked potentials in multiple sclerosis: the EP score.

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4.  Memory dysfunction in multiple sclerosis corresponds to juxtacortical lesion load on fast fluid-attenuated inversion-recovery MR images.

Authors:  D M Moriarty; A J Blackshaw; P R Talbot; H L Griffiths; J S Snowden; V F Hillier; S Capener; R D Laitt; A Jackson
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5.  Infratentorial lesion volume correlates with sensory functional system in multiple sclerosis patients: a 3.0-Tesla MRI study.

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6.  Computer-assisted segmentation of white matter lesions in 3D MR images using support vector machine.

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Journal:  Acad Radiol       Date:  2008-03       Impact factor: 3.173

Review 7.  Nuclear magnetic resonance monitoring of treatment and prediction of outcome in multiple sclerosis.

Authors:  D H Miller; A J Thompson
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1999-10-29       Impact factor: 6.237

8.  A comparison of MR imaging with fast-FLAIR, HASTE-FLAIR, and EPI-FLAIR sequences in the assessment of patients with multiple sclerosis.

Authors:  M Filippi; M A Rocca; M Wiessmann; S Mennea; M Cercignani; T A Yousry; M P Sormani; G Comi
Journal:  AJNR Am J Neuroradiol       Date:  1999 Nov-Dec       Impact factor: 3.825

9.  Increasing the contrast of the brain MR FLAIR images using fuzzy membership functions and structural similarity indices in order to segment MS lesions.

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Review 10.  Automatic Detection of White Matter Hyperintensities in Healthy Aging and Pathology Using Magnetic Resonance Imaging: A Review.

Authors:  Maria Eugenia Caligiuri; Paolo Perrotta; Antonio Augimeri; Federico Rocca; Aldo Quattrone; Andrea Cherubini
Journal:  Neuroinformatics       Date:  2015-07
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