Literature DB >> 8595488

Intra- and inter-observer agreement of brain MRI lesion volume measurements in multiple sclerosis. A comparison of techniques.

M Filippi1, M A Horsfield, S Bressi, V Martinelli, C Baratti, P Reganati, A Campi, D H Miller, G Comi.   

Abstract

The measurement of MRI lesion load in multiple sclerosis is increasingly being used to evaluate the natural history of the disease and to monitor the efficacy of treatments. If, as might occur in multicentre studies, lesion load is measured by several observers in different patients or by the same observer in serial scans, it would be necessary to utilize a technique which provides results with high inter- and intra-observer agreements. This study was performed to evaluate the intra- and inter-observer agreement of semi-automated lesion volume measurement using thresholding, and to compare them with those obtained using an arbitrary scoring system (ASS) and a quantitative manual tracing method (MTM). Brain MRIs were obtained for 20 clinically definite multiple sclerosis patients and were evaluated independently by three observers. The median intra- and inter-observer agreements were, respectively, 88.5% (range 69.0-96.8%) and 79.0% (range 73.3-98.3%) using the ASS, 95.0% (range 85.1-99.4%) and 93.4% (range 77.3-98.3%) for the MTM, 96.3% (range 94.2-98.9%) and 93.7% (range 83.8-98.3%) for the semi-automated technique. The intra- and inter-observer agreements for the semi-automated technique increased to 98.5% (range 96.3-99.8%) and 96.1% (range 90.5-98.6%) when a consensus in the choice of threshold for lesion segmentation was reached. The intra- and inter-observer agreements were significantly greater for the semi-automated method compared with both the arbitrary scoring and the MTMs. The intra-observer variability for the semi-automated technique was significantly lower (P < 0.0001) than the inter-observer variability obtained using the same technique. These data indicate that it is possible to obtain high intra- and inter-observer agreements using a semi-automatic thresholding technique to quantify lesion volumes in multiple sclerosis. The technique may prove useful in multicentre studies, in which a single observer is still preferable.

Entities:  

Mesh:

Year:  1995        PMID: 8595488     DOI: 10.1093/brain/118.6.1593

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  27 in total

1.  Foibles, follies, and fusion: web-based collaboration for medical image labeling.

Authors:  Bennett A Landman; Andrew J Asman; Andrew G Scoggins; John A Bogovic; Joshua A Stein; Jerry L Prince
Journal:  Neuroimage       Date:  2011-08-02       Impact factor: 6.556

2.  Could linear MRI measurements of hippocampus differentiate normal brain aging in elderly persons from Alzheimer disease?

Authors:  Abdullah Tarroun; Marc Bonnefoy; Juliette Bouffard-Vercelli; Claire Gedeon; Bernard Vallee; François Cotton
Journal:  Surg Radiol Anat       Date:  2006-11-22       Impact factor: 1.246

3.  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 4.  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

5.  Sandlike appearance of Virchow-Robin spaces in early multiple sclerosis: a novel neuroradiologic marker.

Authors:  Anat Achiron; Meir Faibel
Journal:  AJNR Am J Neuroradiol       Date:  2002-03       Impact factor: 3.825

6.  Lesion segmentation and manual warping to a reference brain: intra- and interobserver reliability.

Authors:  J A Fiez; H Damasio; T J Grabowski
Journal:  Hum Brain Mapp       Date:  2000-04       Impact factor: 5.038

7.  Application of variable threshold intensity to segmentation for white matter hyperintensities in fluid attenuated inversion recovery magnetic resonance images.

Authors:  Byung Il Yoo; Jung Jae Lee; Ji Won Han; San Yeo Wool Oh; Eun Young Lee; James R MacFall; Martha E Payne; Tae Hui Kim; Jae Hyoung Kim; Ki Woong Kim
Journal:  Neuroradiology       Date:  2014-02-04       Impact factor: 2.804

8.  Formulating spatially varying performance in the statistical fusion framework.

Authors:  Andrew J Asman; Bennett A Landman
Journal:  IEEE Trans Med Imaging       Date:  2012-03-15       Impact factor: 10.048

Review 9.  Neuroimaging in aphasia treatment research: quantifying brain lesions after stroke.

Authors:  Jenny Crinion; Audrey L Holland; David A Copland; Cynthia K Thompson; Argye E Hillis
Journal:  Neuroimage       Date:  2012-07-27       Impact factor: 6.556

10.  The left superior temporal gyrus is a shared substrate for auditory short-term memory and speech comprehension: evidence from 210 patients with stroke.

Authors:  Alexander P Leff; Thomas M Schofield; Jennifer T Crinion; Mohamed L Seghier; Alice Grogan; David W Green; Cathy J Price
Journal:  Brain       Date:  2009-12       Impact factor: 13.501

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