Literature DB >> 26591653

Early accurate diagnosis crucial in multiple sclerosis.

Carmen Tur, Alan J Thompson.   

Abstract

In around 85% of cases, multiple sclerosis (MS) starts with an acute neurological episode, a clinically isolated syndrome, which is considered to be the first clinical episode of relapsing-remitting MS (RRMS). It is characterised by the presence of acute relapses, after which there is normally good functional recovery. About 15-20 years after symptom onset, most patients develop secondary progressive MS, characterised by a gradual and irreversible neurological decline. MS affects women more frequently than men, with a ratio of 2-3:1. In RRMS the disease generally starts in the late 20s. Symptom onset in those with primary progressive MS occurs around the age of 40. Clinical relapses in RRMS reflect acute inflammation in the CNS, resulting in specific clinical syndromes including optic neuritis, myelitis, brainstem/cerebellum syndrome and supratentorial syndrome. In progressive MS, progression generally presents with gradual loss of power in the lower limbs, which may be asymmetric. It is often accompanied by sensory disturbances in the lower limbs, bladder and bowel symptoms. Investigations need to rule out conditions that can mimic an inflammatory-demyelinating disease of the CNS and determine the presence of dissemination in space and dissemination in time of the inflammatory-demyelinating disease. There is no confirmatory test for MS and it remains essentially a clinical diagnosis.

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Year:  2015        PMID: 26591653

Source DB:  PubMed          Journal:  Practitioner        ISSN: 0032-6518


  4 in total

1.  Improving Detection of Multiple Sclerosis Lesions in the Posterior Fossa Using an Optimized 3D-FLAIR Sequence at 3T.

Authors:  A Lecler; I El Sanharawi; J El Methni; O Gout; P Koskas; J Savatovsky
Journal:  AJNR Am J Neuroradiol       Date:  2019-06-27       Impact factor: 3.825

2.  Optimizing 3D FLAIR to detect MS lesions: pushing past factory settings for precise results.

Authors:  Augustin Lecler; C Bouzad; R Deschamps; F Maizeroi; J C Sadik; A Gueguen; O Gout; H Picard; J Savatovsky
Journal:  J Neurol       Date:  2019-08-01       Impact factor: 4.849

3.  Adverse childhood experiences predict reaction to multiple sclerosis diagnosis.

Authors:  Tehila Eilam-Stock; Jon Links; Nabil Z Khan; Tamar E Bacon; Guadalupe Zuniga; Lisa Laing; Carrie Sammarco; Kathleen Sherman; Leigh Charvet
Journal:  Health Psychol Open       Date:  2021-10-21

4.  Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy.

Authors:  Jörn Lötsch; Susanne Schiffmann; Katja Schmitz; Robert Brunkhorst; Florian Lerch; Nerea Ferreiros; Sabine Wicker; Irmgard Tegeder; Gerd Geisslinger; Alfred Ultsch
Journal:  Sci Rep       Date:  2018-10-05       Impact factor: 4.379

  4 in total

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