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Mendeley readers
| Title |
Central nervous system infectious diseases mimicking multiple sclerosis: recognizing distinguishable features using MRI
|
|---|---|
| Published in |
Arquivos de Neuro-Psiquiatria, September 2013
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| DOI | 10.1590/0004-282x20130162 |
| Pubmed ID | |
| Authors |
Antônio José da Rocha, Ingrid Aguiar Littig, Renato Hoffmann Nunes, Charles Peter Tilbery |
| Abstract |
The current diagnostic criteria for multiple sclerosis (MS) confirm the relevant role of magnetic resonance imaging (MRI), supporting the possibility of characterizing the dissemination in space (DIS) and the dissemination in time (DIT) in a single scan. To maintain the specificity of these criteria, it is necessary to determine whether T2/FLAIR visible lesions and the gadolinium enhancement can be attributed to diseases that mimic MS. Several diseases are included in the MS differential diagnosis list, including diseases with exacerbation, remitting periods and numerous treatable infectious diseases, which can mimic the MRI features of MS. We discuss the most relevant imaging features in several infectious diseases that resemble MS and examine the primary spatial distributions of lesions and the gadolinium enhancement patterns related to MS. Recognizing imaging "red flags" can be useful for the proper diagnostic evaluation of suspected cases of MS, facilitating the correct differential diagnosis by assessing the combined clinical, laboratory and MR imaging information. |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| Unknown | 63 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 15% |
| Researcher | 9 | 14% |
| Student > Ph. D. Student | 8 | 12% |
| Other | 8 | 12% |
| Student > Postgraduate | 7 | 11% |
| Other | 15 | 23% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 34 | 52% |
| Neuroscience | 7 | 11% |
| Agricultural and Biological Sciences | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Philosophy | 1 | 2% |
| Other | 7 | 11% |
| Unknown | 11 | 17% |