Optimizing clinical monitoring of central nervous system involvement in SLE.
Central Nervous System (CNS) involvement is a frequent SLE manifestation occurring in 15-75% of patients. However, diagnosis of CNS involvement is a difficult task and requires a careful clinical and laboratory assessment along with instrumental evaluation. In recent years major advances in neuroimaging techniques allowed a great improvement in our understanding of SLE pathogenesis. Anyway, since no single imaging technique covers all brain pathology and both inflammation and neurodegeneration contribute to SLE pathogenesis, it is very important to use a multimodality approach coupling a morphological with a functional imaging modality. In this setting, to date, conventional magnetic resonance imaging and single photon emission computed tomography are the most largely available and accessible techniques. Modern techniques such as perfusion weighted imaging, diffusion weighted imaging, magnetization transfer imaging and magnetic resonance spectroscopy provide useful information to assess brain tissue damage however, their clinical relevance in individual patients needs further evidence. In this review we would like to summarize what have we learned in the last few years about neuroimaging in NPSLE, what have been major advances in neuroimaging techniques and, finally, we would like to give some suggestions about what should be done in daily clinical practice to approach SLE patients with NP symptoms.
Castellino
G
G
Rheumatology Unit, Department of Clinical and Experimental Medicine, University of Ferrara, Sant' Anna Hospital, Ferrara, Italy. gabriella_castellino@yahoo.it
Govoni
M
M
Giacuzzo
S
S
Trotta
F
F
D001921:Brain / Q000000981:diagnostic imaging / Q000473:pathology*; D038524:Diffusion Magnetic Resonance Imaging; D006801:Humans; D020945:Lupus Vasculitis, Central Nervous System / Q000175:diagnosis* / Q000473:pathology; D009682:Magnetic Resonance Spectroscopy; D015899:Tomography, Emission-Computed, Single-Photon; D014057:Tomography, X-Ray Computed