The T1-dark-rim: A novel imaging sign for detecting smoldering inflammation in multiple sclerosis

Author:

Naval-Baudin Pablo1ORCID,Pons-Escoda Albert1ORCID,Castillo-Pinar Albert1ORCID,Martínez-Zalacaín Ignacio1ORCID,Arroyo-Pereiro Pablo1ORCID,Flores-Casaperalta Susanie1,Garay-Buitron Francis1,Calvo Nahum1ORCID,Martínez-Yélamos Antonio1ORCID,Cos Mònica1,Martínez-Yélamos Sergio1,Majós Carles1ORCID

Affiliation:

1. Bellvitge University Hospital

Abstract

Abstract Objectives: Paramagnetic rim lesions (PRLs), usually identified in susceptibility-weighted imaging (SWI), are a promising prognostic biomarker of disability progression in multiple sclerosis (MS). However, SWI is not always available in clinical practice. The objective of this study is to define a novel imaging sign, the T1-dark rim, identifiable in a standard 3DT1 gradient-echo sequence, such as 3D T1 turbo field echo (3DT1FE) and explore its performance as a SWI surrogate to define PRLs. Materials & Methods: This observational cross-sectional study analyzed MS patients who underwent 3T magnetic resonance imaging (MRI) including 3DT1TFE and SWI. Rim lesions were evaluated in 3DT1TFE, processed SWI, and SWI phase and categorized as true positive, false positive, or false negative based on the value of the T1-dark rim in predicting SWI phase PRLs. Sensitivity and positive predictive values of the T1-dark rim for detecting PRLs were calculated. Results: Overall, 80 rim lesions were identified in 63 patients (60 in the SWI phase and 78 in 3DT1TFE; 58 true positives, 20 false positives, and two false negatives). The T1-dark rim demonstrated 97% sensitivity and 74% PPV for detecting PRLs. More PRLs were detected in the SWI phase than in processed SWI (60 and 57, respectively). Conclusion: The T1-dark rim sign is a promising and accessible novel imaging marker to detect PRLs whose high sensitivity may enable earlier detection of smoldering inflammation to guide MS treatment escalation. The relevance of T1-dark rim lesions that are negative on SWI opens up a new field for analysis.

Publisher

Research Square Platform LLC

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