Literature DB >> 8017895

Magnetic resonance in monitoring the treatment of multiple sclerosis.

D H Miller1.   

Abstract

Magnetic resonance imaging (MRI) is increasingly being used as a measure of pathological disease activity in monitoring the efficacy of potential new treatments for multiple sclerosis. A major advantage of MRI over clinical monitoring is that it detects a large amount of subclinical disease activity. The two main approaches to MRI are detecting active lesions and measuring total lesion load. In relapsing-remitting and secondary-progressive multiple sclerosis, gadolinium enhancement increases the number of detectable active lesions and also probably correlates with pathological activity. Total brain-lesion load can be measured from computerized images, either by manual outlining of lesions or by more fully automated lesion-segmentation strategies. An important limitation of MRI monitoring is that conventional brain MRI abnormalities often show little or no relationship with clinical disability. One explanation for this may be pathological heterogeneity of lesions that all look the same on a conventional image. Other MR techniques are needed that specifically identify the pathological features most likely to result in disability, namely demyelination and axonal loss. Magnetization transfer imaging and proton MR spectroscopy are two techniques that show promise in this regard.

Entities:  

Mesh:

Year:  1994        PMID: 8017895     DOI: 10.1002/ana.410360720

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  10 in total

Review 1.  More immunotherapy for multiple sclerosis.

Authors:  R A Hughes; B Sharrack
Journal:  J Neurol Neurosurg Psychiatry       Date:  1996-09       Impact factor: 10.154

Review 2.  Magnetization transfer imaging of multiple sclerosis.

Authors:  G B Pike
Journal:  Ital J Neurol Sci       Date:  1997-12

Review 3.  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

Review 4.  Electrophysiological sequels of inflammatory demyelination.

Authors:  W A Nix
Journal:  J Neurol Neurosurg Psychiatry       Date:  1994-11       Impact factor: 10.154

5.  Intra-observer reproducibility in measuring new putative MR markers of demyelination and axonal loss in multiple sclerosis: a comparison with conventional T2-weighted images.

Authors:  M Rovaris; M Filippi; G Calori; M Rodegher; A Campi; B Colombo; G Comi
Journal:  J Neurol       Date:  1997-04       Impact factor: 4.849

Review 6.  Recent advances in the longitudinal segmentation of multiple sclerosis lesions on magnetic resonance imaging: a review.

Authors:  Marcos Diaz-Hurtado; Eloy Martínez-Heras; Elisabeth Solana; Jordi Casas-Roma; Sara Llufriu; Baris Kanber; Ferran Prados
Journal:  Neuroradiology       Date:  2022-07-22       Impact factor: 2.995

7.  Comparison of triple dose versus standard dose gadolinium-DTPA for detection of MRI enhancing lesions in patients with primary progressive multiple sclerosis.

Authors:  M Filippi; A Campi; V Martinelli; B Colombo; T Yousry; N Canal; G Scotti; G Comi
Journal:  J Neurol Neurosurg Psychiatry       Date:  1995-11       Impact factor: 10.154

8.  Cerebrospinal fluid neurofilament light chain in multiple sclerosis and its subtypes: a meta-analysis of case-control studies.

Authors:  Sarah-Jane Martin; Sarah McGlasson; David Hunt; James Overell
Journal:  J Neurol Neurosurg Psychiatry       Date:  2019-05-23       Impact factor: 13.654

9.  Lesion heterogeneity in multiple sclerosis: a study of the relations between appearances on T1 weighted images, T1 relaxation times, and metabolite concentrations.

Authors:  P A Brex; G J Parker; S M Leary; P D Molyneux; G J Barker; C A Davie; A J Thompson; D H Miller
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-05       Impact factor: 10.154

10.  Evaluating single-point quantitative magnetization transfer in the cervical spinal cord: Application to multiple sclerosis.

Authors:  Alex K Smith; Samantha By; Bailey D Lyttle; Richard D Dortch; Bailey A Box; Lydia J Mckeithan; Saakshi Thukral; Francesca Bagnato; Siddharama Pawate; Seth A Smith
Journal:  Neuroimage Clin       Date:  2017-07-14       Impact factor: 4.881

  10 in total

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