Clinical and MRI measures to identify non-acute MOG-antibody disease in adults

Author:

Cortese Rosa12ORCID,Battaglini Marco1,Prados Ferran234ORCID,Bianchi Alessia2,Haider Lukas2,Jacob Anu56,Palace Jacqueline7,Messina Silvia7,Paul Friedemann8,Wuerfel Jens9,Marignier Romain1011,Durand-Dubief Françoise1011,de Medeiros Rimkus Carolina12,Callegaro Dagoberto13,Sato Douglas Kazutoshi14ORCID,Filippi Massimo1516171819ORCID,Rocca Maria Assunta151619ORCID,Cacciaguerra Laura151619,Rovira Alex20ORCID,Sastre-Garriga Jaume21ORCID,Arrambide Georgina21ORCID,Liu Yaou22,Duan Yunyun22,Gasperini Claudio23,Tortorella Carla23,Ruggieri Serena2425,Amato Maria Pia2627,Ulivelli Monica1,Groppa Sergiu28,Grothe Matthias29ORCID,Llufriu Sara30,Sepulveda Maria30,Lukas Carsten31,Bellenberg Barbara31,Schneider Ruth3132ORCID,Sowa Piotr33,Celius Elisabeth G34,Proebstel Anne-Katrin35ORCID,Yaldizli Özgür36,Müller Jannis3536,Stankoff Bruno37ORCID,Bodini Benedetta37,Carmisciano Luca38,Sormani Maria Pia38,Barkhof Frederik2339,De Stefano Nicola1,Ciccarelli Olga240,Barkhof F,de Stefano N,Sastre-Garriga J,Ciccarelli O,Enzinger C,Filippi M,Gasperini C,Kappos L,Palace J,Vrenken H,Rovira À,Rocca M A,Yousry T,

Affiliation:

1. Department of Medicine, Surgery and Neuroscience, University of Siena , Siena , Italy

2. NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, Faculty of Brain Sciences, UCL Queen Square Institute of Neurology, University College London , London , UK

3. Center for Medical Imaging Computing, Medical Physics and Biomedical Engineering, UCL , London , UK

4. Universitat Oberta de Catalunya , Barcelona , Spain

5. NMO Clinical Service at the Walton Centre , Liverpool , UK

6. Department of Neurology, Cleveland Clinic , AbuDhabi , UAE

7. Department of Clinical Neurology, John Radcliffe Hospital , Oxford , UK

8. Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité - Universitaetsmedizin Berlin , Berlin , Germany

9. Hoffmann LaRoche , Basel , Switzerland

10. Department of Biomedical Engineering, University of Basel , Basel , Switzerland

11. Service de Neurologie, Sclérose en Plaques, Pathologies de la Myéline et Neuro-inflammation, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon , Lyon , France

12. Departamento de Radiologia e Oncologia, Universidade de São Paulo, Faculdade de Medicina , São Paulo SP , Brazil

13. Departamento de Neurologia, Universidade de São Paulo, Faculdade de Medicina , São Paulo SP , Brazil

14. Faculdade de Medicina, Pontifícia Universidade Católica do Rio Grande do Sul , Porto Alegre RS , Brazil

15. Division of Neuroscience, Neuroimaging Research Unit, IRCCS San Raffaele Scientific Institute , Milan , Italy

16. Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan , Italy

17. Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute , Milan , Italy

18. Neurophysiology Service, IRCCS San Raffaele Scientific Institute , Milan , Italy

19. Vita-Salute San Raffaele University , Milan , Italy

20. Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona , Barcelona , Spain

21. Servei de Neurologia-Neuroimmunologia, Centre d’Esclerosi Múltiple de Catalunya (Cemcat), Vall d’Hebron Institut de Recerca, Vall d’Hebron Hospital Universitari, Universitat Autònoma de Barcelona , Barcelona , Spain

22. Department of Radiology, Beijing Tiantan Hospital, Capital Medical University , Beijing , China

23. Department of Neurosciences, S. Camillo-Forlanini Hospital , Rome , Italy

24. Department of Human Neurosciences, Sapienza University of Rome , Rome , Italy

25. Neuroimmunology Unit, IRCSS Fondazione Santa Lucia , Rome , Italy

26. Department NEUROFARBA, University of Florence , Florence , Italy

27. IRCCS Fondazione Don Carlo Gnocchi , Florence , Italy

28. Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz , Mainz , Germany

29. Department of Neurology, University Medicine of Greifswald , Greifswald , Germany

30. Center of Neuroimmunology, Service of Neurology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clínic of Barcelona, Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), and Universitat de Barcelona , Barcelona , Spain

31. St. Josef Hospital, Institute of Neuroradiology, Ruhr University Bochum , Bochum , Germany

32. Department of Neurology, St. Josef Hospital, Ruhr University Bochum , Bochum , Germany

33. Division of Radiology and Nuclear Medicine, Oslo University Hospital , Oslo , Norway

34. Department of Neurology, Oslo University Hospital and Faculty of Medicine, University of Oslo , Oslo , Norway

35. Department of Neurology, University Hospital, Kantonsspital , Basel , Switzerland

36. Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, University Hospital Basel and University of Basel , Basel , Switzerland

37. ICM, Pitié Salpêtrière Hospital, Sorbonne University, Paris Brain Institute , Paris , France

38. Epidemiology and Biostatistics, University of Genoa , Genoa , Italy

39. Radiology and Nuclear Medicine, VU University Medical Centre , Amsterdam , The Netherlands

40. National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre , London , UK

Abstract

Abstract MRI and clinical features of myelin oligodendrocyte glycoprotein (MOG)-antibody disease may overlap with those of other inflammatory demyelinating conditions posing diagnostic challenges, especially in non-acute phases and when serologic testing for MOG antibodies is unavailable or shows uncertain results. We aimed to identify MRI and clinical markers that differentiate non-acute MOG-antibody disease from aquaporin 4 (AQP4)-antibody neuromyelitis optica spectrum disorder and relapsing remitting multiple sclerosis, guiding in the identification of patients with MOG-antibody disease in clinical practice. In this cross-sectional retrospective study, data from 16 MAGNIMS centres were included. Data collection and analyses were conducted from 2019 to 2021. Inclusion criteria were: diagnosis of MOG-antibody disease; AQP4-neuromyelitis optica spectrum disorder and multiple sclerosis; brain and cord MRI at least 6 months from relapse; and Expanded Disability Status Scale (EDSS) score on the day of MRI. Brain white matter T2 lesions, T1-hypointense lesions, cortical and cord lesions were identified. Random forest models were constructed to classify patients as MOG-antibody disease/AQP4-neuromyelitis optica spectrum disorder/multiple sclerosis; a leave one out cross-validation procedure assessed the performance of the models. Based on the best discriminators between diseases, we proposed a guide to target investigations for MOG-antibody disease. One hundred and sixty-two patients with MOG-antibody disease [99 females, mean age: 41 (±14) years, median EDSS: 2 (0–7.5)], 162 with AQP4-neuromyelitis optica spectrum disorder [132 females, mean age: 51 (±14) years, median EDSS: 3.5 (0–8)], 189 with multiple sclerosis (132 females, mean age: 40 (±10) years, median EDSS: 2 (0–8)] and 152 healthy controls (91 females) were studied. In young patients (<34 years), with low disability (EDSS < 3), the absence of Dawson’s fingers, temporal lobe lesions and longitudinally extensive lesions in the cervical cord pointed towards a diagnosis of MOG-antibody disease instead of the other two diseases (accuracy: 76%, sensitivity: 81%, specificity: 84%, P < 0.001). In these non-acute patients, the number of brain lesions < 6 predicted MOG-antibody disease versus multiple sclerosis (accuracy: 83%, sensitivity: 82%, specificity: 83%, P < 0.001). An EDSS < 3 and the absence of longitudinally extensive lesions in the cervical cord predicted MOG-antibody disease versus AQP4-neuromyelitis optica spectrum disorder (accuracy: 76%, sensitivity: 89%, specificity: 62%, P < 0.001). A workflow with sequential tests and supporting features is proposed to guide better identification of patients with MOG-antibody disease. Adult patients with non-acute MOG-antibody disease showed distinctive clinical and MRI features when compared to AQP4-neuromyelitis optica spectrum disorder and multiple sclerosis. A careful inspection of the morphology of brain and cord lesions together with clinical information can guide further analyses towards the diagnosis of MOG-antibody disease in clinical practice.

Funder

ECTRIMS

Publisher

Oxford University Press (OUP)

Subject

Neurology (clinical)

Reference37 articles.

1. Myelin-oligodendrocyte glycoprotein antibody-associated disease;Marignier;Lancet Neurol,2021

2. Neuromyelitis optica spectrum disorder and other non-multiple sclerosis central nervous system inflammatory diseases;Flanagan;Contin Lifelong Learn Neurol,2019

3. Clinical characteristics and treatment of MOG-IgG–associated optic neuritis;Tajfirouz;Curr Neurol Neurosci Rep,2019

4. Treatment approaches for MOG-ab-associated demyelination in children;Hacohen;Curr Treat Options Neurol,2019

5. MOG-IgG in NMO and related disorders: A multicenter study of 50 patients. Part 1: Frequency, syndrome specificity, influence of disease activity, long-term course, association with AQP4-IgG, and origin;Jarius;J Neuroinflammation,2016

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