Lumbosacral Plexus MR Neurography in Autoimmune Nodopathy: A Quantitative Analysis

腰骶神经丛磁共振神经成像在自身免疫性结节病中的应用:一项定量分析

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Abstract

BACKGROUND AND PURPOSE: Imaging findings of peripheral neuropathy in autoimmune nodopathy (AN), a newly classified disease entity, have not yet been well characterized. This study aimed to evaluate the diagnostic utility and imaging abnormalities identified on lumbosacral plexus MR neurography (L-MRN) in patients with AN. MATERIALS & METHODS: This retrospective study included 16 patients with AN (12 with anti-NF155, 3 with anti-CNTN1, and 1 with anti-contactin-associated-protein 1 antibodies) and 18 healthy volunteers. Additionally, 6 patients with AN were followed up longitudinally. At baseline, imaging features such as cauda equina enhancement and the presence of the "sleeve sign" were analyzed. The cross-sectional area (CSA) of nerve roots and the nerve-to-muscle T2 signal intensity (nT2s) from L3 to S1 were measured in both the AN baseline and control groups. For the follow-up group, CSA, T2 signal intensity, and radiomics features were evaluated and correlated with clinical parameters. RESULTS: Characteristic imaging findings in AN included cauda equina enhancement (100%), pre- (90.9%) and postganglionic (72.7%) nerve enhancement, and the sleeve sign (68.8%). The nerve root CSA and nT2s was significantly larger in patients with AN compared with healthy controls (all P < .001), with no significant difference in cross-sectional area between the pre- and posttreatment groups (P > .10). However, at L5-0.5 cm, the nerve-to-muscle T2 signal intensity was reduced after treatment (P < .05). Furthermore, 21 radiomic features were identified in the follow-up group. The change of inflammatory Rasch-Built Overall Disability Scale was significantly positively correlated with the change in L5L_NGTDM_Strength (r = 0.89, P < .05) and significantly negatively correlated with the change in L5R_GLCM_IMC1. CONCLUSIONS: L-MRN proved to be a valuable diagnostic tool for AN. Radiomic features also emerged as promising imaging biomarkers for assessing treatment efficacy.

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