دورية أكاديمية
Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique
| العنوان: | Spatial patterns of brain lesions assessed through covariance estimations of lesional voxels in multiple Sclerosis: The SPACE-MS technique |
|---|---|
| المؤلفون: | Tur C., Grussu F., De Angelis F., Prados F., Kanber B., Calvi A., Eshaghi A., Charalambous T., Cortese R., Chard D. T., Chataway J., Thompson A. J., Ciccarelli O., Gandini Wheeler-Kingshott C. A. M. |
| المساهمون: | Tur, C., Grussu, F., De Angelis, F., Prados, F., Kanber, B., Calvi, A., Eshaghi, A., Charalambous, T., Cortese, R., Chard, D. T., Chataway, J., Thompson, A. J., Ciccarelli, O., Gandini Wheeler-Kingshott, C. A. M. |
| سنة النشر: | 2022 |
| المجموعة: | Università degli Studi di Siena: USiena air |
| مصطلحات موضوعية: | Anisotropy, Caudality, Lesion spatial distribution, Magnetic resonance imaging, Multiple sclerosi, SPACE-MS |
| الوصف: | Predicting disability in progressive multiple sclerosis (MS) is extremely challenging. Although there is some evidence that the spatial distribution of white matter (WM) lesions may play a role in disability accumulation, the lack of well-established quantitative metrics that characterise these aspects of MS pathology makes it difficult to assess their relevance for clinical progression. This study introduces a novel approach, called SPACE-MS, to quantitatively characterise spatial distributional features of brain MS lesions, so that these can be assessed as predictors of disability accumulation. In SPACE-MS, the covariance matrix of the spatial positions of each patient's lesional voxels is computed and its eigenvalues extracted. These are combined to derive rotationally-invariant metrics known to be common and robust descriptors of ellipsoid shape such as anisotropy, planarity and sphericity. Additionally, SPACE-MS metrics include a neuraxis caudality index, which we defined for the whole-brain lesion mask as well as for the most caudal brain lesion. These indicate how distant from the supplementary motor cortex (along the neuraxis) the whole-brain mask or the most caudal brain lesions are. We applied SPACE-MS to data from 515 patients involved in three studies: the MS-SMART (NCT01910259) and MS-STAT1 (NCT00647348) secondary progressive MS trials, and an observational study of primary and secondary progressive MS. Patients were assessed on motor and cognitive disability scales and underwent structural brain MRI (1.5/3.0 T), at baseline and after 2 years. The MRI protocol included 3DT1-weighted (1x1x1mm3) and 2DT2-weighted (1x1x3mm3) anatomical imaging. WM lesions were semiautomatically segmented on the T2-weighted scans, deriving whole-brain lesion masks. After co-registering the masks to the T1 images, SPACE-MS metrics were calculated and analysed through a series of multiple linear regression models, which were built to assess the ability of spatial distributional metrics to explain concurrent and future ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | ELETTRONICO |
| اللغة: | English |
| العلاقة: | info:eu-repo/semantics/altIdentifier/pmid/34875458; info:eu-repo/semantics/altIdentifier/wos/WOS:000731343200004; volume:33; firstpage:1; lastpage:16; numberofpages:16; journal:NEUROIMAGE. CLINICAL; http://hdl.handle.net/11365/1192000Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85120504584; https://www.sciencedirect.com/science/article/pii/S221315822100348XTest |
| DOI: | 10.1016/j.nicl.2021.102904 |
| الإتاحة: | https://doi.org/10.1016/j.nicl.2021.102904Test http://hdl.handle.net/11365/1192000Test https://www.sciencedirect.com/science/article/pii/S221315822100348XTest |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.FA5D8846 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1016/j.nicl.2021.102904 |
|---|