4.5 Article

Serum neurofilament light chain is more strongly associated with T2 lesion volume than with number of T2 lesions in patients with multiple sclerosis

期刊

EUROPEAN JOURNAL OF RADIOLOGY
卷 166, 期 -, 页码 -

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ELSEVIER IRELAND LTD
DOI: 10.1016/j.ejrad.2023.111019

关键词

Focal T2 lesions; MR markers; CSF biomarkers; Aggressive; Prognosis

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This study examined the correlation between total brain T2 lesion volume or lesion number and serum and cerebrospinal fluid (CSF) biomarkers in MS patients. The results showed a stronger association between T2 lesion volume and serum NfL compared to T2 lesion number and serum NfL. There was a moderate positive relationship between CSF NfL and both T2 lesion number and volume. No significant association was found between MRI markers and GFAP levels.
Background and Purpose: MR imaging provides information on the number and extend of focal lesions in multiple sclerosis (MS) patients. This study explores whether total brain T2 lesion volume or lesion number shows a better correlation with serum and cerebrospinal fluid (CSF) biomarkers of disease activity. Materials and Methods: In total, 52 patients suffering from clinically isolated syndrome (CIS)/relapsing-remitting multiple sclerosis (RRMS) were assessed including MRI markers (total brain T2 lesion volume semi-automatically outlined on 3D DIR/FLAIR sequences, number of lesions), serum and CSF biomarkers at the time of neuroimaging (neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP)), and clinical parameters. After logtransformation and partial correlations adjusted for the covariates patients' age, BMI, EDSS-score and diagnosis, the Fisher's r-to-Z transformation was used to compare different correlation coefficients. Results: The correlation between lesion volume and serum NfL (r = 0.6, p < 0.001) was stronger compared to the association between the number of T2 lesions and serum NfL (r = 0.4, p < 0.01) (z = -2.0, p < 0.05). With regard to CSF NfL, there was a moderate, positive relationship for both number of T2 lesions and lesion volume (r = 0.5 respectively, p < 0.01). We found no significant association between MRI markers and GFAP levels. Conclusion: Our findings suggest that there is a stronger association between serum NfL and T2 lesion volume, than there is between serum NfL and T2 lesion number. Improving robustness and accuracy of fully-automated lesion volume segmentation tools can expedite implementation into clinical routine and trials.

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