Spinal cord (SC) atrophy, i.e. a reduction in the SC cross-sectional area (CSA) over time, can be measured by means of image segmentation using magnetic resonance imaging (MRI). However, segmentation methods have been limited by factors relating to reproducibility or sensitivity to change. The purpose of this study was to evaluate a fully automated SC segmentation method (PropSeg), and compare this to a semi-automated active surface (AS)method,inhealthycontrols(HC)andpeoplewithmultiplesclerosis(MS).MRIdatafrom120people wereretrospectively analysed; 26HC, 21withclinicallyisolated syndrome,26relapsing remitting MS, 26primary and 21secondary progressive MS. MRI data from 40 people returning after one year were also analysed. CSA measurements were obtained within the cervical SC. Reproducibility of the measurements was assessed using the intraclass correlation coefficient (ICC). A comparison between mean CSA changes obtained with the two methods over time was performed using multivariate structural equation regression models. Associations between CSA measures and clinical scores were investigated using linear regression models. Compared to the AS method, the reproducibility of CSA measurements obtained with PropSeg was high, both in patients and in HC, withICCN 0.98inall cases. There was nosignificant difference betweenPropSeg and ASinterms of detecting changeovertime.Furthermore,PropSegprovidedmeasuresthatcorrelatedwithphysicaldisability,similartothe ASmethod.PropSegisatime-efficientandreliablesegmentationmethod,whichrequiresnomanualintervention, and mayfacilitate large multi-centre neuroprotective trials in progressive MS. © 2015TheAuthors. Published by Elsevier Inc. This is an open access article under the CC BY license
Yiannakas, M.c., Mustafa, A.m., De Leener, B., Kearney, H., Tur, C., Altmann, D.r., et al. (2016). Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis. NEUROIMAGE. CLINICAL, 10, 71-77 [10.1016/j.nicl.2015.11.001].
Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis
Plantone D;
2016-01-01
Abstract
Spinal cord (SC) atrophy, i.e. a reduction in the SC cross-sectional area (CSA) over time, can be measured by means of image segmentation using magnetic resonance imaging (MRI). However, segmentation methods have been limited by factors relating to reproducibility or sensitivity to change. The purpose of this study was to evaluate a fully automated SC segmentation method (PropSeg), and compare this to a semi-automated active surface (AS)method,inhealthycontrols(HC)andpeoplewithmultiplesclerosis(MS).MRIdatafrom120people wereretrospectively analysed; 26HC, 21withclinicallyisolated syndrome,26relapsing remitting MS, 26primary and 21secondary progressive MS. MRI data from 40 people returning after one year were also analysed. CSA measurements were obtained within the cervical SC. Reproducibility of the measurements was assessed using the intraclass correlation coefficient (ICC). A comparison between mean CSA changes obtained with the two methods over time was performed using multivariate structural equation regression models. Associations between CSA measures and clinical scores were investigated using linear regression models. Compared to the AS method, the reproducibility of CSA measurements obtained with PropSeg was high, both in patients and in HC, withICCN 0.98inall cases. There was nosignificant difference betweenPropSeg and ASinterms of detecting changeovertime.Furthermore,PropSegprovidedmeasuresthatcorrelatedwithphysicaldisability,similartothe ASmethod.PropSegisatime-efficientandreliablesegmentationmethod,whichrequiresnomanualintervention, and mayfacilitate large multi-centre neuroprotective trials in progressive MS. © 2015TheAuthors. Published by Elsevier Inc. This is an open access article under the CC BY licenseFile | Dimensione | Formato | |
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https://hdl.handle.net/11365/1153074