Opportunities for Understanding MS Mechanisms and Progression With MRI Using Large-Scale Data Sharing and Artificial Intelligence.
Journal
Neurology
ISSN: 1526-632X
Titre abrégé: Neurology
Pays: United States
ID NLM: 0401060
Informations de publication
Date de publication:
23 11 2021
23 11 2021
Historique:
received:
10
08
2020
accepted:
09
09
2021
pubmed:
6
10
2021
medline:
7
4
2022
entrez:
5
10
2021
Statut:
ppublish
Résumé
Patients with multiple sclerosis (MS) have heterogeneous clinical presentations, symptoms, and progression over time, making MS difficult to assess and comprehend in vivo. The combination of large-scale data sharing and artificial intelligence creates new opportunities for monitoring and understanding MS using MRI. First, development of validated MS-specific image analysis methods can be boosted by verified reference, test, and benchmark imaging data. Using detailed expert annotations, artificial intelligence algorithms can be trained on such MS-specific data. Second, understanding disease processes could be greatly advanced through shared data of large MS cohorts with clinical, demographic, and treatment information. Relevant patterns in such data that may be imperceptible to a human observer could be detected through artificial intelligence techniques. This applies from image analysis (lesions, atrophy, or functional network changes) to large multidomain datasets (imaging, cognition, clinical disability, genetics). After reviewing data sharing and artificial intelligence, we highlight 3 areas that offer strong opportunities for making advances in the next few years: crowdsourcing, personal data protection, and organized analysis challenges. Difficulties as well as specific recommendations to overcome them are discussed, in order to best leverage data sharing and artificial intelligence to improve image analysis, imaging, and the understanding of MS.
Identifiants
pubmed: 34607924
pii: WNL.0000000000012884
doi: 10.1212/WNL.0000000000012884
pmc: PMC8610621
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
989-999Subventions
Organisme : Wellcome Trust
ID : 215573/Z/19/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 203139/Z/16/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : WT203148/Z/16/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : WT213038/Z/18/Z
Pays : United Kingdom
Investigateurs
Nicola de Stefano
(N)
Jaume Sastre- Garriga
(JS)
Olga Ciccarelli
(O)
Christian Enzinger
(C)
Massimo Filippi
(M)
Claudio Gasperini
(C)
Ludwig Kappos
(L)
Jacqueline Palace
(J)
Alex Rovira
(A)
Tarek Yousry
(T)
Commentaires et corrections
Type : CommentIn
Informations de copyright
Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.
Références
Neuroimage. 2013 Jan 1;64:616-29
pubmed: 22975160
Mult Scler Relat Disord. 2019 Jan;27:171-178
pubmed: 30384204
Curr Opin Neurol. 2018 Aug;31(4):386-395
pubmed: 29952834
Eur Radiol. 2020 Feb;30(2):1062-1074
pubmed: 31691120
Hum Brain Mapp. 2007 Sep;28(9):892-903
pubmed: 17295313
Radiology. 2020 Feb;294(2):398-404
pubmed: 31845845
Mult Scler. 2020 Sep;26(10):1217-1226
pubmed: 31190607
Mult Scler. 2021 Apr;27(4):519-527
pubmed: 32442043
Neurology. 2016 Dec 6;87(23):2463-2470
pubmed: 27807185
J Am Med Inform Assoc. 2018 Aug 1;25(8):945-954
pubmed: 29617797
Ann Clin Transl Neurol. 2020 May;7(5):695-706
pubmed: 32304291
Neuroimage. 2017 Mar 1;148:77-102
pubmed: 28087490
Ann Neurol. 2016 Jul;80(1):89-100
pubmed: 27145331
Mult Scler. 2014 Oct;20(11):1523-32
pubmed: 24777278
Neuroimage Clin. 2020;25:102149
pubmed: 31918065
Magn Reson Imaging. 2019 Dec;64:132-141
pubmed: 31247254
Neuroimage. 2019 Aug 1;196:1-15
pubmed: 30953833
Neuroimage Clin. 2019;24:102011
pubmed: 31734524
Neurology. 2011 Jan 4;76(1 Suppl 1):S3-6
pubmed: 21205680
Neuroimage Clin. 2019;21:101638
pubmed: 30555005
IEEE Trans Med Imaging. 2016 May;35(5):1229-1239
pubmed: 26886978
Neuroimage Clin. 2013 Oct 14;3:462-9
pubmed: 24273728
NMR Biomed. 2020 May;33(5):e4283
pubmed: 32125737
Neuroimage Clin. 2019;24:102003
pubmed: 31634822
Front Neurosci. 2016 Oct 25;10:478
pubmed: 27826224
Philos Trans A Math Phys Eng Sci. 2018 Sep 13;376(2128):
pubmed: 30082298
AJNR Am J Neuroradiol. 2019 Feb;40(2):217-223
pubmed: 30606726
Neuroimage Clin. 2020;25:102104
pubmed: 31927500
Neuroimage Clin. 2017 Oct 14;17:169-178
pubmed: 29071211
Med Image Anal. 2017 Dec;42:60-88
pubmed: 28778026
Sci Rep. 2017 Jul 11;7(1):5110
pubmed: 28698556
Mult Scler. 2006 Dec;12(6):769-74
pubmed: 17263005
J Med Imaging (Bellingham). 2019 Jan;6(1):014005
pubmed: 30820439
Med Phys. 2020 Jan;47(1):89-98
pubmed: 31660621
Neurol Sci. 2017 Jun;38(6):1029-1038
pubmed: 28293740
Neuroimage. 2018 Oct 1;179:199-206
pubmed: 29894829
Med Image Anal. 2020 Jan;59:101557
pubmed: 31677438
Neuroimage. 2017 Jul 15;155:159-168
pubmed: 28435096
Hum Brain Mapp. 2019 Oct 1;40(14):4091-4104
pubmed: 31206931
J Law Biosci. 2019 Sep 16;6(1):317-335
pubmed: 31666972
Neurotherapeutics. 2017 Jan;14(1):24-34
pubmed: 27699722
Neuroimage. 2020 Apr 15;210:116551
pubmed: 31978542
Magn Reson Imaging. 2019 Dec;64:160-170
pubmed: 31301354
Neuroimage Clin. 2018 Apr 26;19:466-475
pubmed: 29984155
AJR Am J Roentgenol. 2020 Mar;214(3):618-623
pubmed: 31939702
Neuroinformatics. 2013 Jan;11(1):65-75
pubmed: 22968671
Brain. 2017 Sep 1;140(9):2426-2443
pubmed: 29050389
Ann Neurol. 2014 Dec;76(6):880-90
pubmed: 25283272
Brain Imaging Behav. 2019 Oct;13(5):1361-1374
pubmed: 30155789
Sci Rep. 2018 Sep 12;8(1):13650
pubmed: 30209345
J Neurol. 2020 Dec;267(12):3541-3554
pubmed: 32621103