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Quantitative assessment of MRI lesion load in monitoring the evolution of multiple sclerosis

Filippi, M; Horsfield, MA; Tofts, PS; Barkhof, F; Thompson, AJ; Miller, DH; (1995) Quantitative assessment of MRI lesion load in monitoring the evolution of multiple sclerosis. BRAIN , 118 1601 - 1612.

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Abstract

In recent years, several segmentation techniques have been developed to quantify, brain MRI lesion load in multiple sclerosis and are now being used increasingly for both evaluating the natural history of the disease and monitoring the efficacy of treatment. Such techniques have been applied extensively to conventional T-2-weighted images; there is less experience to date with gadolinium-enhanced scans and newer MR parameters which are thought to reflect the more destructive aspects of the pathological process. Manual outlining of lesions on T-2-weighted images is moderately accurate when performed by an experienced observer and has been validated in large clinical trials, but is very time consuming. Semi-automated intensity-based techniques appear to be more reproducible, but are still slow to perform. Faster techniques with higher reproducibility are still needed. The correlations between conventional T-2 lesion load and clinical outcome is strong in patients seen at first presentation with clinically isolated syndromes suggestive of multiple sclerosis, but much weaker in established multiple sclerosis. The application of quantitative assessment of the MR parameters which are more specific for the disabling aspects of the pathological process (i.e. demyelination, axonal loss and spinal cord involvement) may improve the correlation with clinical status.

Type: Article
Title: Quantitative assessment of MRI lesion load in monitoring the evolution of multiple sclerosis
Keywords: multiple sclerosis, MRI, quantitative assessment, lesion volume, disability, ATTENUATED INVERSION RECOVERY, RESONANCE-IMAGING LESIONS, DISEASE-ACTIVITY, INVIVO DETERMINATION, INTERFERON THERAPY, RELAPSING PATIENTS, SPINAL-CORD, BRAIN, SERIAL, IMAGES
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Department of Neuromuscular Diseases
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: http://discovery.ucl.ac.uk/id/eprint/178264
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