{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T23:41:09Z","timestamp":1776469269362,"version":"3.51.2"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T00:00:00Z","timestamp":1761004800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100002957","name":"Technische Universit\u00e4t Dresden","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100002957","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Neurol"],"published-print":{"date-parts":[[2025,11]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Reliable biomarkers for disability progression independent of relapse activity (PIRA) in multiple sclerosis (MS) applicable in routine patient care are urgently needed. This study reports results from an ongoing multicenter, prospective, observational study with the primary objective of investigating the association of change in brain MRI biomarkers and PIRA.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In total 453 active relapsing remitting patients from 19 sites with baseline (BL) and one-year follow-up (FU) visits were included. At each visit, medication, relapse activity, and EDSS were recorded. MRI included 3D-T1 and 2D\/3D-FLAIR. BL and FU scans enabled extraction of new\/enlarged T2-lesions and brain volume loss (BVL) (annualized). Correlations and logistic regression assessed associations between EDSS progression and BVL\/year.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      At BL an EDSS (25%\/50%\/75%) of 1.5\/2.0\/2.5 and a time since first MS diagnosis of 2.1\/5.7\/11.4\u00a0years were observed. Change (FU-BL): \u0394EDSS was 0.0\/0.0\/0.0, BVL\/year was\n                      <jats:inline-formula>\n                        <jats:alternatives>\n                          <jats:tex-math>$$-$$<\/jats:tex-math>\n                          <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                            <mml:mo>-<\/mml:mo>\n                          <\/mml:math>\n                        <\/jats:alternatives>\n                      <\/jats:inline-formula>\n                      0.5\/\n                      <jats:inline-formula>\n                        <jats:alternatives>\n                          <jats:tex-math>$$-$$<\/jats:tex-math>\n                          <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                            <mml:mo>-<\/mml:mo>\n                          <\/mml:math>\n                        <\/jats:alternatives>\n                      <\/jats:inline-formula>\n                      0.3\/\n                      <jats:inline-formula>\n                        <jats:alternatives>\n                          <jats:tex-math>$$-$$<\/jats:tex-math>\n                          <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                            <mml:mo>-<\/mml:mo>\n                          <\/mml:math>\n                        <\/jats:alternatives>\n                      <\/jats:inline-formula>\n                      0.0%, age-adjusted BVL\/year was\n                      <jats:inline-formula>\n                        <jats:alternatives>\n                          <jats:tex-math>$$-$$<\/jats:tex-math>\n                          <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                            <mml:mo>-<\/mml:mo>\n                          <\/mml:math>\n                        <\/jats:alternatives>\n                      <\/jats:inline-formula>\n                      0.4\/\n                      <jats:inline-formula>\n                        <jats:alternatives>\n                          <jats:tex-math>$$-$$<\/jats:tex-math>\n                          <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                            <mml:mo>-<\/mml:mo>\n                          <\/mml:math>\n                        <\/jats:alternatives>\n                      <\/jats:inline-formula>\n                      0.1\/0.2%, and number of new\/enlarged T2-lesions per year was 0.0\/0.0\/0.6. 75% of patients were relapse activity-free during the observation period, 72% had no new\/enlarged T2-lesions, and 56% were free of both. BVL\/year (adjusted for age) correlated with \u0394EDSS (\n                      <jats:italic>r<\/jats:italic>\n                      =\n                      <jats:inline-formula>\n                        <jats:alternatives>\n                          <jats:tex-math>$$-$$<\/jats:tex-math>\n                          <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                            <mml:mo>-<\/mml:mo>\n                          <\/mml:math>\n                        <\/jats:alternatives>\n                      <\/jats:inline-formula>\n                      0.14,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.002) for all patients, but also for sub-cohorts of patients without new\/enlarged T2-lesions and without relapses (\n                      <jats:italic>r<\/jats:italic>\n                      =\n                      <jats:inline-formula>\n                        <jats:alternatives>\n                          <jats:tex-math>$$-$$<\/jats:tex-math>\n                          <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                            <mml:mo>-<\/mml:mo>\n                          <\/mml:math>\n                        <\/jats:alternatives>\n                      <\/jats:inline-formula>\n                      0.17,\n                      <jats:italic>p\u2009<\/jats:italic>\n                      =\u20090.008). BVL\/year was significantly associated with EDSS progression in the logistic regression model (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). The risk of EDSS progression increases from 15% to 19% (relative risk increase of 26%), when BVL\/year declines from\n                      <jats:inline-formula>\n                        <jats:alternatives>\n                          <jats:tex-math>$$-$$<\/jats:tex-math>\n                          <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                            <mml:mo>-<\/mml:mo>\n                          <\/mml:math>\n                        <\/jats:alternatives>\n                      <\/jats:inline-formula>\n                      0.5% to\n                      <jats:inline-formula>\n                        <jats:alternatives>\n                          <jats:tex-math>$$-$$<\/jats:tex-math>\n                          <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                            <mml:mo>-<\/mml:mo>\n                          <\/mml:math>\n                        <\/jats:alternatives>\n                      <\/jats:inline-formula>\n                      1.0%.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>BVL over one year was significantly associated with EDSS progression in the absence of relapses or new lesions, confirming its value as a short-term risk marker for disability progression in MS.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00415-025-13343-2","type":"journal-article","created":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T06:42:10Z","timestamp":1761028930000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Whole brain volume loss is associated with a short-term disability progression in relapse-activity free multiple sclerosis"],"prefix":"10.1007","volume":"272","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9911-5478","authenticated-orcid":false,"given":"Roland","family":"Opfer","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lothar","family":"Spies","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Julia","family":"Kr\u00fcger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Buddenkotte","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Holger","family":"Roick","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manda","family":"Jankovic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicolaj","family":"Witt","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sylke","family":"Domke","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ralf","family":"Kubalek","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gerd","family":"Reifschneider","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J\u00fcrgen","family":"Kunz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ilias","family":"Nastos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Felicita","family":"Heidler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"George","family":"Trendelenburg","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Stockert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deborah K.","family":"Erhart","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hayrettin","family":"Tumani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hagen H.","family":"Kitzler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tjalf","family":"Ziemssen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,10,21]]},"reference":[{"key":"13343_CR1","doi-asserted-by":"crossref","first-page":"1524","DOI":"10.1177\/1352458516649452","volume":"22","author":"F Barkhof","year":"2016","unstructured":"Barkhof F (2016) Brain atrophy measurements should be used to guide therapy monitoring in MS - NO. Mult Scler 22:1524\u20131526","journal-title":"Mult Scler"},{"key":"13343_CR2","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.neurobiolaging.2019.05.010","volume":"81","author":"M Battaglini","year":"2019","unstructured":"Battaglini M, Gentile G, Luchetti L, Giorgio A, Vrenken H, Barkhof F, Cover KS, Bakshi R, Chu R, Sormani MP, Enzinger C, Ropele S, Ciccarelli O, Wheeler-Kingshott C, Yiannakas M, Filippi M, Rocca MA, Preziosa P, Gallo A, Bisecco A, Palace J, Kong Y, Horakova D, Vaneckova M, Gasperini C, Ruggieri S, De Stefano N (2019) Lifespan normative data on rates of brain volume changes. Neurobiol Aging 81:30\u201337","journal-title":"Neurobiol Aging"},{"key":"13343_CR3","doi-asserted-by":"crossref","DOI":"10.1177\/1756286418823462","volume":"12","author":"HN Beadnall","year":"2019","unstructured":"Beadnall HN, Wang C, Van Hecke W, Ribbens A, Billiet T, Barnett MH (2019) Comparing longitudinal brain atrophy measurement techniques in a real-world multiple sclerosis clinical practice cohort: towards clinical integration? Ther Adv Neurol Disord 12:1756286418823462","journal-title":"Ther Adv Neurol Disord"},{"key":"13343_CR4","doi-asserted-by":"crossref","first-page":"321","DOI":"10.33588\/rn.5106.2010390","volume":"51","author":"D Cadavid","year":"2010","unstructured":"Cadavid D, Tang Y, O\u2019Neill G (2010) Responsiveness of the expanded disability status scale (EDSS) to disease progression and therapeutic intervention in progressive forms of multiple sclerosis. Rev Neurol 51:321\u2013329","journal-title":"Rev Neurol"},{"key":"13343_CR5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/ana.26913","volume":"96","author":"M Calabrese","year":"2024","unstructured":"Calabrese M, Preziosa P, Scalfari A, Colato E, Marastoni D, Absinta M, Battaglini M, De Stefano N, Di Filippo M, Hametner S, Howell OW, Inglese M, Lassmann H, Martin R, Nicholas R, Reynolds R, Rocca MA, Tamanti A, Vercellino M, Villar LM, Filippi M, Magliozzi R (2024) Determinants and biomarkers of progression independent of relapses in multiple sclerosis. Ann Neurol 96:1\u201320","journal-title":"Ann Neurol"},{"key":"13343_CR6","doi-asserted-by":"crossref","DOI":"10.1016\/j.msard.2021.103144","volume":"54","author":"M Cohen","year":"2021","unstructured":"Cohen M, Bresch S, Thommel Rocchi O, Morain E, Benoit J, Levraut M, Fakir S, Landes C, Lebrun-Fr\u00e9nay C (2021) Should we still only rely on EDSS to evaluate disability in multiple sclerosis patients? A study of inter and intra rater reliability. Mult Scler Relat Disord 54:103144","journal-title":"Mult Scler Relat Disord"},{"issue":"7","key":"13343_CR7","doi-asserted-by":"crossref","first-page":"732","DOI":"10.1136\/jnnp-2022-329020","volume":"93","author":"M Comabella","year":"2022","unstructured":"Comabella M, Sastre-Garriga J, Carbonell-Mirabent P, Fissolo N, Tur C, Malhotra S, Pareto D, Aymerich FX, Rio J, Rovira A, Tintore M, Montalban X (2022) Serum neurofilament light chain levels predict long-term disability progression in patients with progressive multiple sclerosis. J Neurol Neurosurg Psychiatr 93(7):732\u2013740","journal-title":"J Neurol Neurosurg Psychiatr"},{"key":"13343_CR8","doi-asserted-by":"crossref","first-page":"597","DOI":"10.1177\/1352458516657439","volume":"23","author":"M D\u2019Souza","year":"2017","unstructured":"D\u2019Souza M, Yaldizli \u00d6, John R, Vogt DR, Papadopoulou A, Lucassen E, Menegola M, Andelova M, Dahlke F, Schnyder F, Kappos L (2017) Neurostatus e-scoring improves consistency of expanded disability status scale assessments: a proof of concept study. Mult Scler 23:597\u2013603","journal-title":"Mult Scler"},{"key":"13343_CR9","doi-asserted-by":"crossref","first-page":"2927","DOI":"10.1093\/brain\/awx228","volume":"140","author":"G Datta","year":"2017","unstructured":"Datta G, Colasanti A, Rabiner EA, Gunn RN, Malik O, Ciccarelli O, Nicholas R, Van Vlierberghe E, Van Hecke W, Searle G, Santos-Ribeiro A, Matthews PM (2017) Neuroinflammation and its relationship to changes in brain volume and white matter lesions in multiple sclerosis. Brain 140:2927\u20132938","journal-title":"Brain"},{"key":"13343_CR10","doi-asserted-by":"crossref","first-page":"1868","DOI":"10.1212\/WNL.0b013e3181e24136","volume":"74","author":"N De Stefano","year":"2010","unstructured":"De Stefano N, Giorgio A, Battaglini M, Rovaris M, Sormani MP, Barkhof F, Korteweg T, Enzinger C, Fazekas F, Calabrese M, Dinacci D, Tedeschi G, Gass A, Montalban X, Rovira A, Thompson A, Comi G, Miller DH, Filippi M (2010) Assessing brain atrophy rates in a large population of untreated multiple sclerosis subtypes. Neurology 74:1868\u20131876","journal-title":"Neurology"},{"issue":"1","key":"13343_CR11","first-page":"93","volume":"87","author":"N De Stefano","year":"2015","unstructured":"De Stefano N, Stromillo ML, Giorgio A, Bartolozzi ML, Battaglini M, Baldini M, Portaccio E, Amato MP, Sormani MP (2015) Establishing pathological cut-offs of brain atrophy rates in multiple sclerosis. J Neurol Neurosurg Psychiat 87(1):93\u201399","journal-title":"J Neurol Neurosurg Psychiat"},{"key":"13343_CR12","doi-asserted-by":"crossref","first-page":"548","DOI":"10.1212\/01.WNL.0000150542.16969.CC","volume":"64","author":"T Duning","year":"2005","unstructured":"Duning T, Kloska S, Steinstrater O, Kugel H, Heindel W, Knecht S (2005) Dehydration confounds the assessment of brain atrophy. Neurology 64:548\u2013550","journal-title":"Neurology"},{"key":"13343_CR13","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1002\/ana.25145","volume":"83","author":"A Eshaghi","year":"2018","unstructured":"Eshaghi A, Prados F, Brownlee WJ, Altmann DR, Tur C, Cardoso MJ, De Angelis F, van de Pavert SH, Cawley N, De Stefano N, Stromillo ML, Battaglini M, Ruggieri S, Gasperini C, Filippi M, Rocca MA, Rovira A, Sastre-Garriga J, Vrenken H, Leurs CE, Killestein J, Pirpamer L, Enzinger C, Ourselin S, Wheeler-Kingshott C, Chard D, Thompson AJ, Alexander DC, Barkhof F, Ciccarelli O (2018) Deep gray matter volume loss drives disability worsening in multiple sclerosis. Ann Neurol 83:210\u2013222","journal-title":"Ann Neurol"},{"key":"13343_CR14","doi-asserted-by":"crossref","first-page":"1858","DOI":"10.1093\/brain\/awz144","volume":"142","author":"M Filippi","year":"2019","unstructured":"Filippi M, Preziosa P, Banwell BL, Barkhof F, Ciccarelli O, De Stefano N, Geurts JJG, Paul F, Reich DS, Toosy AT, Traboulsee A, Wattjes MP, Yousry TA, Gass A, Lubetzki C, Weinshenker BG, Rocca MA (2019) Assessment of lesions on magnetic resonance imaging in multiple sclerosis: practical guidelines. Brain 142:1858\u20131875","journal-title":"Brain"},{"key":"13343_CR15","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1056\/NEJMoa1601277","volume":"376","author":"SL Hauser","year":"2017","unstructured":"Hauser SL, Bar-Or A, Comi G, Giovannoni G, Hartung HP, Hemmer B, Lublin F, Montalban X, Rammohan KW, Selmaj K, Traboulsee A, Wolinsky JS, Arnold DL, Klingelschmitt G, Masterman D, Fontoura P, Belachew S, Chin P, Mairon N, Garren H, Kappos L (2017) Ocrelizumab versus interferon beta-1a in relapsing multiple sclerosis. N Engl J Med 376:221\u2013234","journal-title":"N Engl J Med"},{"key":"13343_CR16","doi-asserted-by":"crossref","DOI":"10.3389\/fnhum.2014.00010","volume":"8","author":"E Kantorov\u00e1","year":"2014","unstructured":"Kantorov\u00e1 E, \u017diak P, Kur\u010da E, Koy\u0161ov\u00e1 M, Hladk\u00e1 M, Zele\u0148\u00e1k K, Michalik J (2014) Visual evoked potential and magnetic resonance imaging are more effective markers of multiple sclerosis progression than laser polarimetry with variable corneal compensation. Front Hum Neurosci 8:10","journal-title":"Front Hum Neurosci"},{"key":"13343_CR17","doi-asserted-by":"publisher","DOI":"10.3390\/jcm10040868","author":"K Kapica-Topczewska","year":"2021","unstructured":"Kapica-Topczewska K, Collin F, Tarasiuk J, Czarnowska A, Chor\u0105\u017cy M, Miro\u0144czuk A, Kochanowicz J, Ku\u0142akowska A (2021) Assessment of disability progression independent of relapse and brain MRI activity in patients with multiple sclerosis in Poland. J Clin Med. https:\/\/doi.org\/10.3390\/jcm10040868","journal-title":"J Clin Med"},{"key":"13343_CR18","volume":"28","author":"J Kr\u00fcger","year":"2020","unstructured":"Kr\u00fcger J, Opfer R, Gessert N, Ostwaldt AC, Manogaran P, Kitzler HH, Schlaefer A, Schippling S (2020) Fully automated longitudinal segmentation of new or enlarged multiple sclerosis lesions using 3D convolutional neural networks. NeuroImage: Clinical 28:102445","journal-title":"NeuroImage: Clinical"},{"key":"13343_CR19","doi-asserted-by":"crossref","first-page":"2798","DOI":"10.1007\/s00330-021-08329-3","volume":"32","author":"J Kr\u00fcger","year":"2022","unstructured":"Kr\u00fcger J, Ostwaldt AC, Spies L, Geisler B, Schlaefer A, Kitzler HH, Schippling S, Opfer R (2022) Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks. Eur Radiol 32:2798\u20132809","journal-title":"Eur Radiol"},{"key":"13343_CR20","doi-asserted-by":"crossref","first-page":"1444","DOI":"10.1212\/WNL.33.11.1444","volume":"33","author":"JF Kurtzke","year":"1983","unstructured":"Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS). Neurology 33:1444\u20131452","journal-title":"Neurology"},{"key":"13343_CR21","doi-asserted-by":"crossref","first-page":"3147","DOI":"10.1093\/brain\/awac016","volume":"145","author":"FD Lublin","year":"2022","unstructured":"Lublin FD, H\u00e4ring DA, Ganjgahi H, Ocampo A, Hatami F, \u010cuklina J, Aarden P, Dahlke F, Arnold DL, Wiendl H, Chitnis T, Nichols TE, Kieseier BC, Bermel RA (2022) How patients with multiple sclerosis acquire disability. Brain 145:3147\u20133161","journal-title":"Brain"},{"key":"13343_CR22","doi-asserted-by":"crossref","DOI":"10.1016\/j.msard.2020.102724","volume":"49","author":"S Lynch","year":"2021","unstructured":"Lynch S, Baker S, Nashatizadeh M, Thuringer A, Thelen J, Bruce J (2021) Disability measurement in Multiple Sclerosis patients 55 years and older: what is the Expanded Disability Status Scale really telling clinicians? Mult Scler Relat Disord 49:102724","journal-title":"Mult Scler Relat Disord"},{"key":"13343_CR23","doi-asserted-by":"crossref","DOI":"10.1016\/j.msard.2023.104714","volume":"74","author":"PM Matthews","year":"2023","unstructured":"Matthews PM, Gupta D, Mittal D, Bai W, Scalfari A, Pollock KG, Sharma V, Hill N (2023) The association between brain volume loss and disability in multiple sclerosis: a systematic review. Mult Scler Relat Disord 74:104714","journal-title":"Mult Scler Relat Disord"},{"key":"13343_CR24","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2021.608491","volume":"12","author":"V Meca-Lallana","year":"2021","unstructured":"Meca-Lallana V, Berenguer-Ruiz L, Carreres-Polo J, Eichau-Madue\u00f1o S, Ferrer-Lozano J, Forero L, Higueras Y, T\u00e9llez Lara N, Vidal-Jordana A, P\u00e9rez-Miralles FC (2021) Deciphering multiple sclerosis progression. Front Neurol 12:608491","journal-title":"Front Neurol"},{"key":"13343_CR25","doi-asserted-by":"crossref","first-page":"1614","DOI":"10.1177\/1352458517729456","volume":"23","author":"M Moccia","year":"2017","unstructured":"Moccia M, de Stefano N, Barkhof F (2017) Imaging outcome measures for progressive multiple sclerosis trials. Mult Scler J 23:1614\u20131626","journal-title":"Mult Scler J"},{"key":"13343_CR26","doi-asserted-by":"crossref","first-page":"1293","DOI":"10.1056\/NEJMoa1014656","volume":"365","author":"P O'Connor","year":"2011","unstructured":"O\u2019Connor P, Wolinsky JS, Confavreux C, Comi G, Kappos L, Olsson TP, Benzerdjeb H, Truffinet P, Wang L, Miller A, Freedman MS (2011) Randomized trial of oral teriflunomide for relapsing multiple sclerosis. N Engl J Med 365:1293\u20131303","journal-title":"N Engl J Med"},{"key":"13343_CR27","doi-asserted-by":"crossref","first-page":"1763","DOI":"10.1007\/s11548-024-03201-3","volume":"19","author":"R Opfer","year":"2024","unstructured":"Opfer R, Kruger J, Buddenkotte T, Spies L, Behrendt F, Schippling S, Buchert R (2024) Brainlossnet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI. Int J Comput Assist Radiol Surg 19:1763\u20131771","journal-title":"Int J Comput Assist Radiol Surg"},{"key":"13343_CR28","volume":"28","author":"R Opfer","year":"2020","unstructured":"Opfer R, Kr\u00fcger J, Spies L, Hamann M, Wicki CA, Kitzler HH, Gocke C, Silva D, Schippling S (2020) Age-dependent cut-offs for pathological deep gray matter and thalamic volume loss using Jacobian integration. NeuroImage: Clinical 28:102478","journal-title":"NeuroImage: Clinical"},{"key":"13343_CR29","doi-asserted-by":"crossref","first-page":"2001","DOI":"10.1007\/s00234-022-02961-6","volume":"64","author":"R Opfer","year":"2022","unstructured":"Opfer R, Kr\u00fcger J, Spies L, Kitzler HH, Schippling S, Buchert R (2022) Single-subject analysis of regional brain volumetric measures can be strongly influenced by the method for head size adjustment. Neuroradiology 64:2001\u20132009","journal-title":"Neuroradiology"},{"key":"13343_CR30","doi-asserted-by":"crossref","first-page":"1852","DOI":"10.1007\/s00330-022-09170-y","volume":"33","author":"R Opfer","year":"2023","unstructured":"Opfer R, Kruger J, Spies L, Ostwaldt AC, Kitzler HH, Schippling S, Buchert R (2023) Automatic segmentation of the thalamus using a massively trained 3D convolutional neural network: higher sensitivity for the detection of reduced thalamus volume by improved inter-scanner stability. Eur Radiol 33:1852\u20131861","journal-title":"Eur Radiol"},{"key":"13343_CR31","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.neurobiolaging.2017.12.024","volume":"65","author":"R Opfer","year":"2018","unstructured":"Opfer R, Ostwaldt AC, Sormani MP, Gocke C, Walker-Egger C, Manogaran P, De Stefano N, Schippling S (2018) Estimates of age-dependent cutoffs for pathological brain volume loss using SIENA\/FSL-a longitudinal brain volumetry study in healthy adults. Neurobiol Aging 65:1\u20136","journal-title":"Neurobiol Aging"},{"key":"13343_CR32","doi-asserted-by":"crossref","first-page":"1158","DOI":"10.1007\/s00415-018-8825-8","volume":"265","author":"R Opfer","year":"2018","unstructured":"Opfer R, Ostwaldt AC, Walker-Egger C, Manogaran P, Sormani MP, De Stefano N, Schippling S (2018) Within-patient fluctuation of brain volume estimates from short-term repeated MRI measurements using SIENA\/FSL. J Neurol 265:1158\u20131165","journal-title":"J Neurol"},{"key":"13343_CR33","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1007\/s00234-024-03516-7","volume":"67","author":"R Opfer","year":"2025","unstructured":"Opfer R, Schwab M, Bangoura S, Biswas M, Kruger J, Spies L, Gocke C, Gaser C, Schippling S, Kitzler HH, Ziemssen T (2025) Patients with relapsing-remitting multiple sclerosis show accelerated whole brain volume and thalamic volume loss early in disease. Neuroradiology 67:99\u2013107","journal-title":"Neuroradiology"},{"key":"13343_CR34","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2024.109289","volume":"183","author":"R Opfer","year":"2024","unstructured":"Opfer R, Ziemssen T, Kr\u00fcger J, Buddenkotte T, Spies L, Gocke C, Schwab M, Buchert R (2024) Higher effect sizes for the detection of accelerated brain volume loss and disability progression in multiple sclerosis using deep-learning. Comput Biol Med 183:109289","journal-title":"Comput Biol Med"},{"key":"13343_CR35","doi-asserted-by":"crossref","DOI":"10.3389\/fneur.2018.00545","volume":"9","author":"A Raji","year":"2018","unstructured":"Raji A, Ostwaldt AC, Opfer R, Suppa P, Spies L, Winkler G (2018) Mri-based brain volumetry at a single time point complements clinical evaluation of patients with multiple sclerosis in an outpatient setting. Front Neurol 9:545","journal-title":"Front Neurol"},{"key":"13343_CR36","doi-asserted-by":"crossref","first-page":"1144","DOI":"10.1212\/01.WNL.0000156155.19270.F8","volume":"64","author":"RH Roxburgh","year":"2005","unstructured":"Roxburgh RH, Seaman SR, Masterman T, Hensiek AE, Sawcer SJ, Vukusic S, Achiti I, Confavreux C, Coustans M, le Page E, Edan G, McDonnell GV, Hawkins S, Trojano M, Liguori M, Cocco E, Marrosu MG, Tesser F, Leone MA, Weber A, Zipp F, Miterski B, Epplen JT, Oturai A, S\u00f8rensen PS, Celius EG, Lara NT, Montalban X, Villoslada P, Silva AM, Marta M, Leite I, Dubois B, Rubio J, Butzkueven H, Kilpatrick T, Mycko MP, Selmaj KW, Rio ME, S\u00e1 M, Salemi G, Savettieri G, Hillert J, Compston DA (2005) Multiple sclerosis severity score: using disability and disease duration to rate disease severity. Neurology 64:1144\u20131151","journal-title":"Neurology"},{"key":"13343_CR37","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1038\/s41582-020-0314-x","volume":"16","author":"J Sastre-Garriga","year":"2020","unstructured":"Sastre-Garriga J, Pareto D, Battaglini M, Rocca MA, Ciccarelli O, Enzinger C, Wuerfel J, Sormani MP, Barkhof F, Yousry TA, De Stefano N, Tintor\u00e9 M, Filippi M, Gasperini C, Kappos L, R\u00edo J, Frederiksen J, Palace J, Vrenken H, Montalban X, Rovira \u00c0 (2020) Magnims consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice. Nat Rev Neurol 16:171\u2013182","journal-title":"Nat Rev Neurol"},{"key":"13343_CR38","doi-asserted-by":"publisher","DOI":"10.1007\/s00415-016-8374-y","author":"S Schippling","year":"2017","unstructured":"Schippling S, Ostwaldt A-C, Suppa P, Spies L, Manogaran P, Gocke C, Huppertz H-J, Opfer R (2017) Global and regional annual brain volume loss rates in physiological aging. J Neurol. https:\/\/doi.org\/10.1007\/s00415-016-8374-y","journal-title":"J Neurol"},{"key":"13343_CR39","doi-asserted-by":"crossref","unstructured":"Schuh K, Opfer R, Spies L, Schippling S (2020) QUANTUM\u2013Quantitative and standardized imaging in daily clinical routine of MS patients. In: Neurology (Vol 94, No.15). Lippincott Williams & Wilkins TWO COMMERCE SQ, 2001 MARKET ST, PHILADELPHIA","DOI":"10.1212\/WNL.94.15_supplement.4039"},{"key":"13343_CR40","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1006\/nimg.2002.1040","volume":"17","author":"SM Smith","year":"2002","unstructured":"Smith SM, Zhang Y, Jenkinson M, Chen J, Matthews PM, Federico A, De Stefano N (2002) Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage 17:479\u2013489","journal-title":"Neuroimage"},{"key":"13343_CR41","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1002\/ana.24018","volume":"75","author":"MP Sormani","year":"2014","unstructured":"Sormani MP, Arnold DL, De Stefano N (2014) Treatment effect on brain atrophy correlates with treatment effect on disability in multiple sclerosis. Ann Neurol 75:43\u201349","journal-title":"Ann Neurol"},{"key":"13343_CR42","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1177\/1352458516659550","volume":"23","author":"MP Sormani","year":"2017","unstructured":"Sormani MP, Kappos L, Radue EW, Cohen J, Barkhof F, Sprenger T, Piani Meier D, Haring D, Tomic D, De Stefano N (2017) Defining brain volume cutoffs to identify clinically relevant atrophy in RRMS. Mult Scler 23:656\u2013664","journal-title":"Mult Scler"},{"key":"13343_CR43","doi-asserted-by":"crossref","first-page":"1863","DOI":"10.1093\/brain\/awv105","volume":"138","author":"M Tintore","year":"2015","unstructured":"Tintore M, Rovira \u00c0, R\u00edo J, Otero-Romero S, Arrambide G, Tur C, Comabella M, Nos C, Ar\u00e9valo MJ, Negrotto L, Gal\u00e1n I, Vidal-Jordana A, Castill\u00f3 J, Palavra F, Simon E, Mitjana R, Auger C, Sastre-Garriga J, Montalban X (2015) Defining high, medium and low impact prognostic factors for developing multiple sclerosis. Brain 138:1863\u20131874","journal-title":"Brain"},{"key":"13343_CR44","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1177\/1756285615600381","volume":"8","author":"G Tsivgoulis","year":"2015","unstructured":"Tsivgoulis G, Katsanos AH, Grigoriadis N, Hadjigeorgiou GM, Heliopoulos I, Papathanasopoulos P, Dardiotis E, Kilidireas C, Voumvourakis K (2015) The effect of disease-modifying therapies on brain atrophy in patients with clinically isolated syndrome: a systematic review and meta-analysis. Ther Adv Neurol Disord 8:193\u2013202","journal-title":"Ther Adv Neurol Disord"},{"key":"13343_CR45","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1016\/S1474-4422(21)00095-8","volume":"20","author":"MP Wattjes","year":"2021","unstructured":"Wattjes MP, Ciccarelli O, Reich DS, Banwell B, de Stefano N, Enzinger C, Fazekas F, Filippi M, Frederiksen J, Gasperini C, Hacohen Y, Kappos L, Li DKB, Mankad K, Montalban X, Newsome SD, Oh J, Palace J, Rocca MA, Sastre-Garriga J, Tintor\u00e9 M, Traboulsee A, Vrenken H, Yousry T, Barkhof F, Rovira \u00c0 (2021) 2021 MAGNIMS-CMSC-NAIMS consensus recommendations on the use of MRI in patients with multiple sclerosis. Lancet Neurol 20:653\u2013670","journal-title":"Lancet Neurol"},{"key":"13343_CR46","volume":"17","author":"G Zhan","year":"2023","unstructured":"Zhan G, Wang D, Cabezas M, Bai L, Kyle K, Ouyang W, Barnett M, Wang C (2023) Learning from pseudo-labels: deep networks improve consistency in longitudinal brain volume estimation. Front Neurosci 17:1196087","journal-title":"Front Neurosci"},{"key":"13343_CR47","doi-asserted-by":"crossref","first-page":"289","DOI":"10.3174\/ajnr.A5442","volume":"39","author":"R Zivadinov","year":"2018","unstructured":"Zivadinov R, Bergsland N, Korn JR, Dwyer MG, Khan N, Medin J, Price JC, Weinstock-Guttman B, Silva D (2018) Feasibility of brain atrophy measurement in clinical routine without prior standardization of the MRI protocol: results from MS-MRIUS, a longitudinal observational, multicenter real-world outcome study in patients with relapsing-remitting MS. AJNR Am J Neuroradiol 39:289\u2013295","journal-title":"AJNR Am J Neuroradiol"},{"key":"13343_CR48","doi-asserted-by":"crossref","first-page":"1522","DOI":"10.1177\/1352458516649253","volume":"22","author":"R Zivadinov","year":"2016","unstructured":"Zivadinov R, Dwyer MG, Bergsland N (2016) Brain atrophy measurements should be used to guide therapy monitoring in MS - YES. Mult Scler 22:1522\u20131524","journal-title":"Mult Scler"}],"container-title":["Journal of Neurology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00415-025-13343-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00415-025-13343-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00415-025-13343-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T14:01:14Z","timestamp":1763128874000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00415-025-13343-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,21]]},"references-count":48,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2025,11]]}},"alternative-id":["13343"],"URL":"https:\/\/doi.org\/10.1007\/s00415-025-13343-2","relation":{},"ISSN":["0340-5354","1432-1459"],"issn-type":[{"value":"0340-5354","type":"print"},{"value":"1432-1459","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,21]]},"assertion":[{"value":"26 May 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 August 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 August 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 October 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"RO, LS, JK: Employees of jung diagnostics GmbH, TB: nothing to disclose, HR: Has received advisory board fees from Roche, Merck, Biogen, BMS, Novartis and speaker\u2019s honoraria from Roche, Biogen, Merck, Novartis und Sanofi, MK: nothing to disclose, NW: nothing to disclose, SD: nothing to disclose, RK: Has received advisory board fees from Bayer Vital GmbH, Roche, Novartis, Merck, Sanofi-Aventis und Janssen. GR: nothing to disclose, JKu: Research grants, travel grants and honoraria for serving as a speaker at clinical and scientific meetings and for participating at adboards were granted from Bayer Healthcare, Biogen, Daiichi-Sankyo, Genzyme, Merck, Novartis, Pfizer, Roche, Teva and UCB. IN: nothing to disclose, FH: nothing to disclose, GT: nothing to disclose, AS: nothing to disclose, DE: Nothing to disclose. HT: Has participated in meetings sponsored by or received honoraria for acting as an advisor\/speaker for Alexion, Bayer, Biogen, Bristol-Myers Squibb, Celgene, Diamed, Fresenius, Fujirebio, GlaxoSmithKline, Hexal, Horizon, Janssen-Cilag, Merck, Novartis, Roche, Sanofi-Genzyme, Siemens, Teva, and Viatris. He also acknowledges research support by DMSG (German Multiple Sclerosis Society), MWK-BW (Ministry of Science, Research and Arts of the State Baden-W\u00fcrttemberg), BMG (Federal Ministry of Health), University of Ulm, and Chemische Fabrik Karl Bucher. HK: Has received travel grants, speaker honoraria, financial research support, and consultancy fees from Bayer, Biogen Idec, Novartis, Siemens, and Teva; served on advisory boards for Biogen, Ixico, and Novartis; received research grants from Novartis. TZ: Has received advisory board fees from Viatris, Biogen, Bristol Myers Squibb, Merck, Novartis, Neuraxpharm, Roche, Sanofi and Teva; speaker fees from Almirall, Alexion, Biogen, Bristol Myers Squibb, Sanoz, Novartis, Roche, Sanofi, Neuraxpharm, Teva, and Viatris and research support from Neuraxpharm, Novartis, Roche, Sanofi.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of Interest"}}],"article-number":"715"}}