TY - JOUR
T1 - TSPO-Detectable Chronic Active Lesions Predict Disease Progression in Multiple Sclerosis
AU - Polvinen, Eero
AU - Matilainen, Markus
AU - Nylund, Marjo
AU - Sucksdorff, Marcus
AU - Airas, Laura M.
N1 - Publisher Copyright:
Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - BACKGROUND AND OBJECTIVES: In the multiple sclerosis (MS) brain, chronic active lesions can be detected using MRI- and PET-based methods. In this study, we investigated whether the frequency of TSPO-PET-detectable chronic active lesions associates with disease progression measured using the Expanded Disability Status Scale (EDSS) at 5-year follow-up. METHODS: Chronic lesion-associated innate immune cell activation was evaluated using TSPO-PET in 82 patients with MS. Chronic lesions were categorized into rim-active, inactive, and overall active lesion subtypes based on innate immune cell activation patterns in the lesion core and at the 2-mm perilesional rim. Logistic regression was used to identify best predictors of progression. RESULTS: Twenty-one patients experienced disability progression during the follow-up. These patients had a significantly higher proportion of rim-active lesions (p < 0.001) and a significantly lower proportion of inactive lesions (p = 0.001) compared with nonprogressed patients. The results were similar in the patient group having no relapses during the follow-up (60 patients, 14 experienced progression). In logistic regression modeling, the categorized variable "patients with >10% rim-active lesions and ≤50% inactive lesions of all chronic lesions" predicted disease progression in the entire cohort (OR = 26.8, p < 0.001) and in the group free of relapses (OR = 34.8, p = 0.002). DISCUSSION: The results show that single TSPO-PET-based in vivo lesion phenotyping of chronic MS lesions provides a strong predictor for MS disease progression. This emphasizes the significance of chronic active lesions in disability accumulation in MS.
AB - BACKGROUND AND OBJECTIVES: In the multiple sclerosis (MS) brain, chronic active lesions can be detected using MRI- and PET-based methods. In this study, we investigated whether the frequency of TSPO-PET-detectable chronic active lesions associates with disease progression measured using the Expanded Disability Status Scale (EDSS) at 5-year follow-up. METHODS: Chronic lesion-associated innate immune cell activation was evaluated using TSPO-PET in 82 patients with MS. Chronic lesions were categorized into rim-active, inactive, and overall active lesion subtypes based on innate immune cell activation patterns in the lesion core and at the 2-mm perilesional rim. Logistic regression was used to identify best predictors of progression. RESULTS: Twenty-one patients experienced disability progression during the follow-up. These patients had a significantly higher proportion of rim-active lesions (p < 0.001) and a significantly lower proportion of inactive lesions (p = 0.001) compared with nonprogressed patients. The results were similar in the patient group having no relapses during the follow-up (60 patients, 14 experienced progression). In logistic regression modeling, the categorized variable "patients with >10% rim-active lesions and ≤50% inactive lesions of all chronic lesions" predicted disease progression in the entire cohort (OR = 26.8, p < 0.001) and in the group free of relapses (OR = 34.8, p = 0.002). DISCUSSION: The results show that single TSPO-PET-based in vivo lesion phenotyping of chronic MS lesions provides a strong predictor for MS disease progression. This emphasizes the significance of chronic active lesions in disability accumulation in MS.
UR - http://www.scopus.com/inward/record.url?scp=85162817850&partnerID=8YFLogxK
U2 - 10.1212/NXI.0000000000200133
DO - 10.1212/NXI.0000000000200133
M3 - Article
C2 - 37349108
AN - SCOPUS:85162817850
SN - 2332-7812
VL - 10
JO - Neurology(R) neuroimmunology & neuroinflammation
JF - Neurology(R) neuroimmunology & neuroinflammation
IS - 5
M1 - e200133
ER -