2020
DOI: 10.1590/0004-282x20200094
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Differentiation of relapsing-remitting and secondary progressive multiple sclerosis: a magnetic resonance spectroscopy study based on machine learning

Abstract: Introduction: Magnetic resonance imaging (MRI) is the most important tool for diagnosis and follow-up in multiple sclerosis (MS). The discrimination of relapsing-remitting MS (RRMS) from secondary progressive MS (SPMS) is clinically difficult, and developing the proposal presented in this study would contribute to the process. Objective: This study aimed to ensure the automatic classification of healthy controls, RRMS, and SPMS by using MR spectroscopy and machine learning methods. Methods: MR spectroscop… Show more

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Cited by 4 publications
(6 citation statements)
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“…In RRMS patients, the mean Cr level was 5.88 ± 1.41, and the mean Cho level was 5.89 ± 1. These amounts were 4.93 ± 1.95 and 4.93 ± 2.11 in SPMS patients, respectively [ 11 ] ( Table 3 ).…”
Section: Resultsmentioning
confidence: 99%
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“…In RRMS patients, the mean Cr level was 5.88 ± 1.41, and the mean Cho level was 5.89 ± 1. These amounts were 4.93 ± 1.95 and 4.93 ± 2.11 in SPMS patients, respectively [ 11 ] ( Table 3 ).…”
Section: Resultsmentioning
confidence: 99%
“…5 MR images and MRS signals of healthy controls and RRMS and SPMS patients. The NAA peak in progressive MS cases has a tendency to decrease, however, Cr and Co show and increasing trend in MS patients [ 11 ].. (Adapted with permission.) …”
Section: Resultsmentioning
confidence: 99%
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