scholarly journals LONGITUDINAL EVALUATION OF CEREBRAL FUNCTION THROUGH PROTON MAGNETIC RESONANCE SPECTROSCOPY IN SYSTEMIC LUPUS ERYTHEMATOSUS

2019 ◽  
Author(s):  
RENAN BAZUCO FRITTOLI ◽  
DANILO RODRIGUES PEREIRA ◽  
MARIANA POSTAL ◽  
LETICIA RITTNER ◽  
LILIAN TEREZA LAVRAS COSTALLAT ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Lupus Erythematosus ◽  
Proton Magnetic Resonance ◽  
Proton Magnetic Resonance Spectroscopy ◽  
Resonance Spectroscopy ◽  
Cerebral Function ◽  
Systemic Lupus ◽  
Longitudinal Evaluation

Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus by Deep Learning Enhanced Magnetic Resonance Spectroscopy

2021 ◽  
Vol 11 (5) ◽  
pp. 1341-1347
Author(s):  
Xin Li ◽  
Lu Bai ◽  
Zuhao Ge ◽  
Zhizhe Lin ◽  
Xi Yang ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Magnetic Resonance ◽  
Early Diagnosis ◽  
Magnetic Resonance Spectroscopy ◽  
Lupus Erythematosus ◽  
Support Vector ◽  
Resonance Spectroscopy ◽  
Systemic Lupus ◽  
Proton Mrs ◽  
Neuropsychiatric Systemic Lupus Erythematosus

The neuropsychiatric systemic lupus erythematosus (NPSLE) has higher disability and mortality rates, which is one of the main causes of death in systemic lupus erythematosus (SLE) patients. Magnetic resonance spectroscopy (MRS) can detect the changes of metabolites in different intracranial areas in vivo in patients with SLE, so as to provide evidence for the early diagnosis of NPSLE. Different from the conventional single-voxel MRS, which can only screen one brain region with one metabolic change, we simultaneously detect 13 kinds of intracranial metabolic changes in nine brain regions by multivoxel proton MRS (MVS). We use a recursive feature elimination algorithm to select the most related metabolites for better identifying NPSLE. To accurately diagnosis NPSLE by these intracranial metabolites, we train a support vector machine deep stacked network (SVM-DSN) for quantitative analysis of these metabolites. Comparing with the conventional statistic method, which is about 70% of accuracy, the proposed model achieves 97.5% of accuracy for NPSLE diagnosis. We conclude the trained SVM-DSN can effectively analyze the metabolites obtained by multivoxel proton MRS for NPSLE diagnosis, which may help to early diagnosis and intervention of NPSLE, and alleviate the bias of manual screening.

Proton magnetic resonance spectroscopy (1H-MRS) in rheumatic autoimmune diseases: A systematic review

Lupus ◽  
2020 ◽  
Vol 29 (14) ◽  
pp. 1873-1884
Author(s):  
Renan Bazuco Frittoli ◽  
Danilo Rodrigues Pereira ◽  
Leticia Rittner ◽  
Simone Appenzeller
Keyword(s):  
Systematic Review ◽  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Autoimmune Diseases ◽  
Lupus Erythematosus ◽  
Proton Magnetic Resonance ◽  
Proton Magnetic Resonance Spectroscopy ◽  
Vascular Reactivity ◽  
Resonance Spectroscopy ◽  
Non Invasive

Background/Purpose Proton magnetic resonance spectroscopy (1H-MRS) has been shown to be an important non-invasive tool to quantify neuronal loss or damage in the investigation of central nervous system (CNS) disorders. The purpose of this article is to discuss the clinical utility of 1H-MRS in determining CNS involvement in individuals with rheumatic autoimmune diseases. Methods This study is a systematic review of the literature, conducted during the month of November and December of 2019 of articles published in the last 16 years (2003-2019). The search for relevant references was done through the exploration of electronic databases (PubMed/Medline and Embase). We searched for studied including systemic lupus erythematosus (SLE), systemic sclerosis (SSc), juvenile idiopathic arthritis, rheumatoid arthritis (RA), psoriasis, Sjögren's syndrome (pSS), vasculitis and Behçet. Only studies published after 2003 and with more than 20 patients were included. Results We included 26 articles. NAA/Cr ratios were significant lower and Cho/Cr ratios increased in several brain regions in SLE, SS, RA, SSc. Associations with disease activity, inflammatory markers, CNS manifestations and comorbidities was variable across studies and diseases. Conclusion The presence of neurometabolite abnormalities in patients without ouvert CNS manifestations, suggests that systemic inflammation, atherosclerosis or abnormal vascular reactivity may be associated with subclinical CNS manifestations. MRS may be a usefull non-invasive method for screening patients with risk for CNS manifestations.

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