Literature DB >> 10232508

Quantitative follow-up of patients with multiple sclerosis using MRI: reproducibility.

C R Guttmann1, R Kikinis, M C Anderson, M Jakab, S K Warfield, R J Killiany, H L Weiner, F A Jolesz.   

Abstract

The reproducibility of an automated method for estimating the volume of white matter abnormalities on brain magnetic resonance (MR) images of multiple sclerosis (MS) patients was evaluated. Twenty MS patients underwent MR imaging twice within 30 minutes. Measurement variability is introduced mainly by MRI acquisition and image registration procedures, which demonstrate significantly worse reproducibility than the image segmentation. The correction of partial volume artifacts is essential for sensitive measurements of overall lesion burden. The average lesion volume difference (bias) between two MR exams of the same MS patient (N = 20) was 0.05 cm3, with a 95% confidence interval between -0.17 and +0.28 cm3, suggesting that the proposed measurement system is suitable for clinical follow-up trials, even in relatively small patient cohorts. The limits of agreement for lesion volume were between -1.3 and +1.5 cm3, implying that in individual patients changes in lesion load need to be at least this large to be detected reliably. This automated method for estimating lesion burden is a reliable tool for the evaluation of MS progression and exacerbation in patient cohorts and potentially also in individual patients.

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Year:  1999        PMID: 10232508     DOI: 10.1002/(sici)1522-2586(199904)9:4<509::aid-jmri2>3.0.co;2-s

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  18 in total

1.  Quantitative MRI assessment of leukoencephalopathy.

Authors:  Wilburn E Reddick; John O Glass; James W Langston; Kathleen J Helton
Journal:  Magn Reson Med       Date:  2002-05       Impact factor: 4.668

Review 2.  A review of the automated detection of change in serial imaging studies of the brain.

Authors:  Julia Patriarche; Bradley Erickson
Journal:  J Digit Imaging       Date:  2004-06-29       Impact factor: 4.056

3.  A rhesus monkey reference label atlas for template driven segmentation.

Authors:  Jonathan J Wisco; Douglas L Rosene; Ronald J Killiany; Mark B Moss; Simon K Warfield; Svetlana Egorova; Ying Wu; Zsusanna Liptak; Jeremy Warner; Charles R G Guttmann
Journal:  J Med Primatol       Date:  2008-05-05       Impact factor: 0.667

4.  Reproducibility of scan prescription in follow-up brain MRI: manual versus automatic determination.

Authors:  Shinya Kojima; Masami Hirata; Hiroyuki Shinohara; Eiko Ueno
Journal:  Radiol Phys Technol       Date:  2013-04-11

Review 5.  Current status and future perspectives of magnetic resonance high-field imaging: a summary.

Authors:  Vivek Prabhakaran; Veena A Nair; Benjamin P Austin; Christian La; Thomas A Gallagher; Yijing Wu; Donald G McLaren; Guofan Xu; Patrick Turski; Howard Rowley
Journal:  Neuroimaging Clin N Am       Date:  2012-05       Impact factor: 2.264

6.  Statistical validation of image segmentation quality based on a spatial overlap index.

Authors:  Kelly H Zou; Simon K Warfield; Aditya Bharatha; Clare M C Tempany; Michael R Kaus; Steven J Haker; William M Wells; Ferenc A Jolesz; Ron Kikinis
Journal:  Acad Radiol       Date:  2004-02       Impact factor: 3.173

7.  Segmentation of subtraction images for the measurement of lesion change in multiple sclerosis.

Authors:  Y Duan; P G Hildenbrand; M P Sampat; D F Tate; I Csapo; B Moraal; R Bakshi; F Barkhof; D S Meier; C R G Guttmann
Journal:  AJNR Am J Neuroradiol       Date:  2008-02       Impact factor: 3.825

8.  Regional white matter atrophy--based classification of multiple sclerosis in cross-sectional and longitudinal data.

Authors:  M P Sampat; A M Berger; B C Healy; P Hildenbrand; J Vass; D S Meier; T Chitnis; H L Weiner; R Bakshi; C R G Guttmann
Journal:  AJNR Am J Neuroradiol       Date:  2009-08-20       Impact factor: 3.825

9.  An MRI study of age-related white and gray matter volume changes in the rhesus monkey.

Authors:  Jonathan J Wisco; Ronald J Killiany; Charles R G Guttmann; Simon K Warfield; Mark B Moss; Douglas L Rosene
Journal:  Neurobiol Aging       Date:  2007-04-24       Impact factor: 4.673

10.  Medulla oblongata volume: a biomarker of spinal cord damage and disability in multiple sclerosis.

Authors:  Z Liptak; A M Berger; M P Sampat; A Charil; O Felsovalyi; B C Healy; P Hildenbrand; S J Khoury; H L Weiner; R Bakshi; C R G Guttmann
Journal:  AJNR Am J Neuroradiol       Date:  2008-06-12       Impact factor: 3.825

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