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Title: | MRI Patterns Distinguish AQP4 Antibody Positive Neuromyelitis Optica Spectrum Disorder From Multiple Sclerosis. | Austin Authors: | Clarke, Laura;Arnett, Simon;Bukhari, Wajih;Khalilidehkordi, Elham;Jimenez Sanchez, Sofia;O'Gorman, Cullen;Sun, Jing;Prain, Kerri M;Woodhall, Mark;Silvestrini, Roger;Bundell, Christine S;Abernethy, David A;Bhuta, Sandeep;Blum, Stefan;Boggild, Mike;Boundy, Karyn;Brew, Bruce J;Brownlee, Wallace;Butzkueven, Helmut;Carroll, William M;Chen, Cella;Coulthard, Alan;Dale, Russell C;Das, Chandi;Fabis-Pedrini, Marzena J;Gillis, David;Hawke, Simon;Heard, Robert;Henderson, Andrew P D;Heshmat, Saman;Hodgkinson, Suzanne;Kilpatrick, Trevor J;King, John;Kneebone, Christopher;Kornberg, Andrew J;Lechner-Scott, Jeannette;Lin, Ming-Wei;Lynch, Christopher;Macdonell, Richard A L ;Mason, Deborah F;McCombe, Pamela A;Pereira, Jennifer;Pollard, John D;Ramanathan, Sudarshini;Reddel, Stephen W;Shaw, Cameron P;Spies, Judith M;Stankovich, James;Sutton, Ian;Vucic, Steve;Walsh, Michael;Wong, Richard C;Yiu, Eppie M;Barnett, Michael H;Kermode, Allan G K;Marriott, Mark P;Parratt, John D E;Slee, Mark;Taylor, Bruce V;Willoughby, Ernest;Brilot, Fabienne;Vincent, Angela;Waters, Patrick;Broadley, Simon A | Affiliation: | Department of Neurology, Princess Alexandra Hospital, Woolloongabba, QLD, Australia Department of Neurology, St. Vincent's Hospital, Darlinghurst, NSW, Australia Menzies Research Institute, University of Tasmania, Hobart, TAS, Australia School of Medicine, Deakin University, Waurn Ponds, VIC, Australia Department of Neurology, Concord Repatriation General Hospital, Concord, NSW, Australia Department of Neurology, Royal Adelaide Hospital, Adelaide, SA, Australia Department of Neurology, Royal Melbourne Hospital, Parkville, VIC, Australia Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia South Western Sydney Medical School, Liverpool Hospital, University of New South Wales, Liverpool, NSW, Australia Department of Neurology, Westmead Hospital, Westmead, NSW, Australia Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia Sydney Medical School, Royal Prince Alfred Hospital, University of Sydney, Camperdown, NSW, Australia Department of Neurology, Canberra Hospital, Garran, ACT, Australia Department of Ophthalmology, Flinders Medical Centre, Flinders University, Bedford Park, SA, Australia Centre for Neuromuscular and Neurological Disorders, Queen Elizabeth II Medical Centre, Perron Institute for Neurological and Translational Science, University of Western Australia, Nedlands, WA, Australia School of Medicine, Royal Brisbane and Women's Hospital, University of Queensland, Herston, QLD, Australia Department of Neurology, Townsville Hospital, Douglas, QLD, Australia School of Pathology and Laboratory Medicine, University of Western Australia, Nedlands, WA, Australia Department of Immunopathology, Westmead Hospital, Westmead, NSW, Australia Neuroimmunology Group, Kids Neurosciences Centre, Children's Hospital at Westmead, University of Sydney, Westmead, NSW, Australia Centre for Clinical Research, Royal Brisbane and Women's Hospital, University of Queensland, Herston, QLD, Australia Neurology Hunter Medical Research Institute, University of Newcastle, New Lambton Heights, NSW, Australia Department of Neurology, Gold Coast University Hospital, Southport, QLD, Australia Department of Neurology, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia Department of Neurology, Wellington Hospital, Newtown, New Zealand Centre for Applied Medical Research, St. Vincent's Hospital, University of New South Wales, Darlinghurst, NSW, Australia Melbourne Brain Centre, Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia Department of Immunology, Pathology Queensland, Royal Brisbane and Women's Hospital, Herston, QLD, Australia Menzies Health Institute Queensland, Gold Coast, Griffith University, Southport, QLD, Australia School of Paediatrics, Royal Children's Hospital, University of Melbourne, Parkville, VIC, Australia School of Medicine, University of Auckland, Grafton, New Zealand Department of Neurology, Christchurch Hospital, Christchurch, New Zealand Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom Department of Neurology, Auckland City Hospital, Grafton, New Zealand |
Issue Date: | 9-Sep-2021 | Date: | 2021-09-09 | Publication information: | Frontiers in Neurology 2021; 12: 722237 | Abstract: | Neuromyelitis optica spectrum disorder (NMOSD) and multiple sclerosis (MS) are inflammatory diseases of the CNS. Overlap in the clinical and MRI features of NMOSD and MS means that distinguishing these conditions can be difficult. With the aim of evaluating the diagnostic utility of MRI features in distinguishing NMOSD from MS, we have conducted a cross-sectional analysis of imaging data and developed predictive models to distinguish the two conditions. NMOSD and MS MRI lesions were identified and defined through a literature search. Aquaporin-4 (AQP4) antibody positive NMOSD cases and age- and sex-matched MS cases were collected. MRI of orbits, brain and spine were reported by at least two blinded reviewers. MRI brain or spine was available for 166/168 (99%) of cases. Longitudinally extensive (OR = 203), "bright spotty" (OR = 93.8), whole (axial; OR = 57.8) or gadolinium (Gd) enhancing (OR = 28.6) spinal cord lesions, bilateral (OR = 31.3) or Gd-enhancing (OR = 15.4) optic nerve lesions, and nucleus tractus solitarius (OR = 19.2), periaqueductal (OR = 16.8) or hypothalamic (OR = 7.2) brain lesions were associated with NMOSD. Ovoid (OR = 0.029), Dawson's fingers (OR = 0.031), pyramidal corpus callosum (OR = 0.058), periventricular (OR = 0.136), temporal lobe (OR = 0.137) and T1 black holes (OR = 0.154) brain lesions were associated with MS. A score-based algorithm and a decision tree determined by machine learning accurately predicted more than 85% of both diagnoses using first available imaging alone. We have confirmed NMOSD and MS specific MRI features and combined these in predictive models that can accurately identify more than 85% of cases as either AQP4 seropositive NMOSD or MS. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/27642 | DOI: | 10.3389/fneur.2021.722237 | Journal: | Frontiers in Neurology | PubMed URL: | 34566866 | ISSN: | 1664-2295 | Type: | Journal Article | Subjects: | NMOSD diagnosis magnetic resonance imaging multiple sclerosis neuromyelitis optica |
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