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Single MRI-Based Volumetric Assessment in Clinical Practice Is Associated With MS-Related Disability.
D'hooghe, Marie B; Gielen, Jeroen; Van Remoortel, Ann; D'haeseleer, Miguel; Peeters, Erika; Cambron, Melissa; De Keyser, Jacques; Nagels, Guy.
Afiliación
  • D'hooghe MB; National MS Center, Neurology, Melsbroek, Belgium.
  • Gielen J; Vrije Universiteit Brussel (VUB), Center for Neurosciences, Brussels, Belgium.
  • Van Remoortel A; National MS Center, Neurology, Melsbroek, Belgium.
  • D'haeseleer M; Vrije Universiteit Brussel (VUB), Center for Neurosciences, Brussels, Belgium.
  • Peeters E; National MS Center, Neurology, Melsbroek, Belgium.
  • Cambron M; National MS Center, Neurology, Melsbroek, Belgium.
  • De Keyser J; National MS Center, Neurology, Melsbroek, Belgium.
  • Nagels G; National MS Center, Neurology, Melsbroek, Belgium.
J Magn Reson Imaging ; 49(5): 1312-1321, 2019 05.
Article en En | MEDLINE | ID: mdl-30597656
ABSTRACT

BACKGROUND:

The added value of brain volume measurements in the clinical practice of multiple sclerosis (MS) has been questioned.

PURPOSE:

To investigate the contribution of volume measures obtained with magnetic resonance scans performed as part of regular care to predict measures of cognitive and physical MS disability in a real-world setting. STUDY TYPE Retrospective.

SUBJECTS:

In all, 470 adults with diagnosed MS. FIELD STRENGTH/SEQUENCE 3D fluid attenuation inversion recovery (FLAIR) and 3D T1 -weighted MR images at 3.0T MR. ASSESSMENT Lesion and brain volume were measured by an automated method, MSmetrix, developed by icometrix. STATISTICAL TESTS We used stepwise linear regression models to assess the added value of a single volumetric assessment in predicting Expanded Disability Status Scale (EDSS) and Symbol Digit Modalities Test (SDMT). Brain volumes categorized into quartiles were used as predictive variables in a time-to-event analysis and Cox proportional hazard regression with time to worsening from baseline as outcome measures.

RESULTS:

Brain and lesion volume in relapsing onset MS strongly contributed to the best models, with a substantial role for age in the EDSS model and a modest role for education in the SDMT model. Adding MR volumetric information increased the explained variance from 17% to 28% in the best model for EDSS and from 9% to 25% in the best model for SDMT. A significantly reduced hazard (P < 0.05) of SDMT worsening was found in the highest normalized brain volume quartiles (1375-1608 ml), compared with the lowest quartile (1201-1374 ml) in the total study population. DATA

CONCLUSION:

Our findings indicate that a single brain volumetric assessment contributes to the prediction of MS-related disability, with distinct patterns for EDSS as a measure of physical disability, and SDMT as a measure of cognitive disability. A threshold effect for the lowest brain volumes with regard to SDMT worsening over time was found. LEVEL OF EVIDENCE 3 Technical Efficacy Stage 2 J. Magn. Reson. Imaging 2019;491312-1321.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética / Esclerosis Múltiple Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article País de afiliación: Bélgica

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Imagen por Resonancia Magnética / Esclerosis Múltiple Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Magn Reson Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article País de afiliación: Bélgica