Literature DB >> 9127033

Fast spin-echo and fast fluid-attenuated inversion-recovery versus conventional spin-echo sequences for MR quantification of multiple sclerosis lesions.

S Bastianello1, A Bozzao, A Paolillo, E Giugni, C Gasperini, T Koudriavtseva, E Millefiorini, M A Horsfield, C Colonnese, D Toni, M Fiorelli, C Pozzilli, L Bozzao.   

Abstract

PURPOSE: To compare fast spin-echo (FSE) and fast fluid-attenuated inversion recovery (FLAIR) sequences with conventional spin-echo (CSE) MR imaging in the quantification of the number and volume of multiple sclerosis lesions.
METHODS: In 30 patients with relapsing-remitting multiple sclerosis, we calculated the total number and volume of lesions detected with each of the three sequences using a semiautomated program.
RESULTS: On CSE sequences, we calculated a total of 2,583 lesions with a global volume of 836.3 cm3. With FSE sequences, we observed a 16% relative reduction in the number of lesions detected and a 25% relative reduction in global volume as compared with CSE. With fast FLAIR sequences, we detected a significantly lower number and volume of infratentorial lesions, whereas at the cortical/subcortical level the lesions were both more numerous and bulkier than on CSE sequences. Finally, we observed a higher lesion/white matter contrast, a significant reduction in time required for the quantification of lesion load, and a very low interobserver variability in favor of fast FLAIR sequences.
CONCLUSION: Despite its limitations in the detection of infratentorial lesions, the fast FLAIR sequence in conjunction with a semiautomated quantification program provides a reliable means to evaluate the total lesion burden in patients with MS.

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Year:  1997        PMID: 9127033      PMCID: PMC8338506     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  24 in total

1.  Whole-brain atrophy in multiple sclerosis measured by automated versus semiautomated MR imaging segmentation.

Authors:  Jitendra Sharma; Michael P Sanfilipo; Ralph H B Benedict; Bianca Weinstock-Guttman; Frederick E Munschauer; Rohit Bakshi
Journal:  AJNR Am J Neuroradiol       Date:  2004 Jun-Jul       Impact factor: 3.825

2.  FLAIR2: A Combination of FLAIR and T2 for Improved MS Lesion Detection.

Authors:  V Wiggermann; E Hernández-Torres; A Traboulsee; D K B Li; A Rauscher
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-08       Impact factor: 3.825

3.  The ependymal "Dot-Dash" sign: an MR imaging finding of early multiple sclerosis.

Authors:  Christopher J Lisanti; Patrick Asbach; William G Bradley
Journal:  AJNR Am J Neuroradiol       Date:  2005-09       Impact factor: 3.825

4.  Detection of lesions in multiple sclerosis by 2D FLAIR and single-slab 3D FLAIR sequences at 3.0 T: initial results.

Authors:  Andrea Bink; Melanie Schmitt; Jochen Gaa; John P Mugler; Heinrich Lanfermann; Friedhelm E Zanella
Journal:  Eur Radiol       Date:  2006-01-20       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

6.  Quantitative MR evaluation of intracranial epidermoid tumors by fast fluid-attenuated inversion recovery imaging and echo-planar diffusion-weighted imaging.

Authors:  S Chen; F Ikawa; K Kurisu; K Arita; J Takaba; Y Kanou
Journal:  AJNR Am J Neuroradiol       Date:  2001 Jun-Jul       Impact factor: 3.825

7.  Comparison of interstudy reproducibility of equilibrium electrocardiography-gated SPECT radionuclide angiography versus planar radionuclide angiography for the quantification of global left ventricular function.

Authors:  Doumit Daou; Carlos Coaguila; Abdel Benada
Journal:  J Nucl Cardiol       Date:  2006 Mar-Apr       Impact factor: 5.952

8.  Brain imaging findings predict blood pressure response to pharmacological treatment.

Authors:  J Richard Jennings; Matthew F Muldoon; Ellen M Whyte; Joelle Scanlon; Julie Price; Carolyn C Meltzer
Journal:  Hypertension       Date:  2008-11-03       Impact factor: 10.190

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

Authors:  Zhiqiang Lao; Dinggang Shen; Dengfeng Liu; Abbas F Jawad; Elias R Melhem; Lenore J Launer; R Nick Bryan; Christos Davatzikos
Journal:  Acad Radiol       Date:  2008-03       Impact factor: 3.173

10.  MRI detection of the cerebellar syndrome in Creutzfeldt-Jakob disease.

Authors:  Oren S Cohen; Chen Hoffmann; Hedok Lee; Joab Chapman; Robert K Fulbright; Isak Prohovnik
Journal:  Cerebellum       Date:  2009-05-01       Impact factor: 3.847

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