{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T05:39:35Z","timestamp":1787031575304,"version":"build-2736575974"},"reference-count":32,"publisher":"Termedia Sp. z.o.o.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Pol J Radiol"],"abstract":"\n Purpose<\/jats:title>\n The aim of this volumetric study was to evaluate the relationship between brain atrophy quantification in multiple sclerosis (MS) patients and the progression of disability measured by neurological standardised tests.<\/jats:p>\n <\/jats:sec>\n \n Material and methods<\/jats:title>\n Seventeen patients (mean age 40.89 years) with clinically definite MS and 24 control subjects (mean age 38.45 years) were enrolled in the study. Brain examinations were performed on a 1.5T MR scanner. Automatic brain segmentation was done using FreeSurfer. Neurological disability was assessed in all patients in baseline and after a median follow-up of two years, using EDSS score evaluation.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n In MS patients we found significantly (p < 0.05) higher atrophy rates in many brain areas compared with the control group. The white matter did not show any significant rate of volume loss in MS patients compared to healthy controls. Significant changes were found only in grey matter volume in MS subjects. At the follow-up evaluation after two years MS patients with deterioration in disability revealed significantly decreased cerebral volume in 14 grey matter areas at baseline magnetic resonance imaging (MRI) compared to MS subjects without disability progression.<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n Grey matter atrophy is associated with the degree of disability in MS patients. Our results suggest that morphometric measurements of brain volume could be a promising non-invasive biomarker in assessing the volumetric changes in MS patients as related to disability progression in the course of the disease.<\/jats:p>\n <\/jats:sec>","DOI":"10.5114\/pjr.2019.84274","type":"journal-article","created":{"date-parts":[[2019,5,15]],"date-time":"2019-05-15T07:33:17Z","timestamp":1557905597000},"page":"171-178","source":"Crossref","is-referenced-by-count":7,"title":["Quantitative magnetic resonance assessment of brain atrophy related to selected aspects of disability in patients with multiple sclerosis: preliminary results"],"prefix":"10.5114","volume":"84","author":[{"given":"Ewelina","family":"Marciniewicz","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Pokryszko-Dragan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Przemys\u0142aw","family":"Podg\u00f3rski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krzysztof","family":"Ma\u0142yszczak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Zimny","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Ko\u0142towska","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S\u0142awomir","family":"Budrewicz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marek","family":"S\u0105siadek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joanna","family":"Bladowska","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"3061","published-online":{"date-parts":[[2019,4,2]]},"reference":[{"key":"ref-1141300","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1007\/s11845-017-1714-9","article-title":"MRI and multiple sclerosis \u2013 the evolving role of MRI in the diagnosis and management of MS: the radiologist\u2019s perspective","volume":"187","author":"Cahalane MA","year":"2018","unstructured":"Cahalane MA, Kearney H, Purcell YM, et al. (2018). MRI and multiple sclerosis \u2013 the evolving role of MRI in the diagnosis and management of MS: the radiologist\u2019s perspective. Ir J Med Sci. 187: 781-787.","journal-title":"Ir J Med Sci"},{"key":"ref-1141301","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1007\/s11845-017-1691-z","article-title":"MRI and multiple sclerosis \u2013 the evolving role of MRI in the diagnosis and management of MS: a clinician\u2019s perspective","volume":"187","author":"Kearney H","year":"2018","unstructured":"Kearney H, Cahalane AM, Killeen RP, McGuigan C. (2018). MRI and multiple sclerosis \u2013 the evolving role of MRI in the diagnosis and management of MS: a clinician\u2019s perspective. 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J Comput Assist Tomogr. 43: 1-12.","journal-title":"J Comput Assist Tomogr"},{"key":"ref-1141303","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1111\/ane.12667","article-title":"Guidelines for the use of magnetic resonance imaging in diagnosing and monitoring the treatment of multiple sclerosis: recommendations of the Swedish Multiple Sclerosis Association and the Swedish Neuroradiological Society","volume":"135","author":"V\u00e5gberg M","year":"2017","unstructured":"V\u00e5gberg M, Axelsson M, Birgander R, et al. (2017). Guidelines for the use of magnetic resonance imaging in diagnosing and monitoring the treatment of multiple sclerosis: recommendations of the Swedish Multiple Sclerosis Association and the Swedish Neuroradiological Society. 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Eur Radiol. 29: 1355-1364.","journal-title":"Eur Radiol"},{"key":"ref-1141314","doi-asserted-by":"crossref","first-page":"e0206939","DOI":"10.1371\/journal.pone.0206939","article-title":"Whole brain and deep gray matter atrophy detection over 5 years with 3T MRI in multiple sclerosis using a variety of automated segmentation pipelines","volume":"13","author":"Chu R","year":"2018","unstructured":"Chu R, Kim G, Tauhid S, et al. (2018). Whole brain and deep gray matter atrophy detection over 5 years with 3T MRI in multiple sclerosis using a variety of automated segmentation pipelines. PLoS One. 13: e0206939.","journal-title":"PLoS One"},{"key":"ref-1141315","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neuroimage.2010.06.010","article-title":"Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature","volume":"53","author":"Destrieux C","year":"2010","unstructured":"Destrieux C, Fischl B, Dale A, Halgren E. (2010). 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