TY - JOUR
T1 - The role of disconnection in explaining disability in multiple sclerosis
AU - Lapucci, Caterina
AU - Schiavi, Simona
AU - Signori, Alessio
AU - Sbragia, Elvira
AU - Bommarito, Giulia
AU - Cellerino, Maria
AU - Uccelli, Antonio
AU - Inglese, Matilde
AU - Roccatagliata, Luca
AU - Pardini, Matteo
N1 - Publisher Copyright:
© 2022, The Author(s) under exclusive licence to European Society of Radiology.
PY - 2022/12
Y1 - 2022/12
N2 - Background: In multiple sclerosis, the correlation between white matter lesion volumes (LV) and expanded disability status scale (EDSS) is at best moderate, leading to the “clinico-radiological paradox”, influenced by many factors, including the lack of information on the spatial localisation of each lesion on synthetic metrics such as LV. We used a probabilistic approach to provide the volume of WM tracts that may be disconnected by lesions and to evaluate its correlation with EDSS. Methods: Forty-five patients (aged 37.4 ± 6.8 years, mean ± standard deviation; 30 females; 29 relapsing-remitting, 16 progressive) underwent 3-T magnetic resonance imaging. Both LV and the volume of the tracts crossing the lesioned regions (disconnectome volume, DV) were calculated using BCBtoolkit and correlated with EDSS. Results: T1-weighted LV and DV significantly correlated with EDSS (p ≤ 0.006 r ≥ 0.413) as it was for T2-weighted LV and T2-weighted DV (p ≤ 0.004 r ≥ 0.430), but only T1-weighetd and T2-weighted DVs were EDSS significant predictors (p ≤ 0.001). The correlations of T1-weighted and T2-weighted LV with EDSS were significantly mediated by DV, while no effect of LV on the EDSS-DV correlation was observed. Conclusion: The volume of disconnected WM bundles mediates the LV-EDSS correlation, representing the lonely EDSS predictor.
AB - Background: In multiple sclerosis, the correlation between white matter lesion volumes (LV) and expanded disability status scale (EDSS) is at best moderate, leading to the “clinico-radiological paradox”, influenced by many factors, including the lack of information on the spatial localisation of each lesion on synthetic metrics such as LV. We used a probabilistic approach to provide the volume of WM tracts that may be disconnected by lesions and to evaluate its correlation with EDSS. Methods: Forty-five patients (aged 37.4 ± 6.8 years, mean ± standard deviation; 30 females; 29 relapsing-remitting, 16 progressive) underwent 3-T magnetic resonance imaging. Both LV and the volume of the tracts crossing the lesioned regions (disconnectome volume, DV) were calculated using BCBtoolkit and correlated with EDSS. Results: T1-weighted LV and DV significantly correlated with EDSS (p ≤ 0.006 r ≥ 0.413) as it was for T2-weighted LV and T2-weighted DV (p ≤ 0.004 r ≥ 0.430), but only T1-weighetd and T2-weighted DVs were EDSS significant predictors (p ≤ 0.001). The correlations of T1-weighted and T2-weighted LV with EDSS were significantly mediated by DV, while no effect of LV on the EDSS-DV correlation was observed. Conclusion: The volume of disconnected WM bundles mediates the LV-EDSS correlation, representing the lonely EDSS predictor.
KW - Diffusion tensor imaging
KW - Disability evaluation
KW - Magnetic resonance imaging
KW - Multiple sclerosis
KW - White matter
UR - http://www.scopus.com/inward/record.url?scp=85131492296&partnerID=8YFLogxK
U2 - 10.1186/s41747-022-00277-x
DO - 10.1186/s41747-022-00277-x
M3 - Article
C2 - 35672589
AN - SCOPUS:85131492296
SN - 2509-9280
VL - 6
JO - European radiology experimental
JF - European radiology experimental
IS - 1
M1 - 23
ER -