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Ciftci Kavaklioglu B, Erdman L, Goldenberg A, Kavaklioglu C, Alexander C, Oppermann HM, Patel A, Hossain S, Berenbaum T, Yau O, Yea C, Ly M, Costello F, Mah JK, Reginald A, Banwell B, Longoni G, Ann Yeh E. Machine learning classification of multiple sclerosis in children using optical coherence tomography. Mult Scler 2022; 28:2253-2262. [PMID: 35946086 DOI: 10.1177/13524585221112605] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND In children, multiple sclerosis (MS) is the ultimate diagnosis in only 1/5 to 1/3 of cases after a first episode of central nervous system (CNS) demyelination. As the visual pathway is frequently affected in MS and other CNS demyelinating disorders (DDs), structural retinal imaging such as optical coherence tomography (OCT) can be used to differentiate MS. OBJECTIVE This study aimed to investigate the utility of machine learning (ML) based on OCT features to identify distinct structural retinal features in children with DDs. METHODS This study included 512 eyes from 187 (neyes = 374) children with demyelinating diseases and 69 (neyes = 138) controls. Input features of the analysis comprised of 24 auto-segmented OCT features. RESULTS Random Forest classifier with recursive feature elimination yielded the highest predictive values and identified DDs with 75% and MS with 80% accuracy, while multiclass distinction between MS and monophasic DD was performed with 64% accuracy. A set of eight retinal features were identified as the most important features in this classification. CONCLUSION This study demonstrates that ML based on OCT features can be used to support a diagnosis of MS in children.
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Affiliation(s)
- Beyza Ciftci Kavaklioglu
- Neuroscience and Mental Health Program, SickKids Research Institute, The Hospital for Sick Children, Toronto, ON, Canada/Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Lauren Erdman
- Department of Computer Science, University of Toronto, Toronto, ON, Canada; Vector Institute, Toronto, ON, Canada
| | - Anna Goldenberg
- Department of Computer Science, University of Toronto, Toronto, ON, Canada; Vector Institute, Toronto, ON, Canada/Temerty Centre for AI Research and Education in Medicine, University of Toronto, Toronto, ON, Canada
| | - Can Kavaklioglu
- Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, ON, Canada
| | - Cara Alexander
- Department of Computer Science, University of Toronto, Toronto, ON, Canada
| | - Hannah M Oppermann
- Department of Computer Science, University of Toronto, Toronto, ON, Canada/Department of Information and Computing Sciences, Utrecht University, Utrecht, the Netherlands
| | - Amish Patel
- Department of Computer Science, University of Toronto, Toronto, ON, Canada
| | - Soaad Hossain
- Department of Computer Science, University of Toronto, Toronto, ON, Canada/Temerty Centre for AI Research and Education in Medicine, University of Toronto, Toronto, ON, Canada/Environics Analytics, Toronto, ON, Canada
| | - Tara Berenbaum
- Division of Neurology, Department of Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
| | - Olivia Yau
- Division of Neurology, Department of Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
| | - Carmen Yea
- Division of Neurology, Department of Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
| | - Mina Ly
- Division of Neurology, Department of Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON, Canada
| | - Fiona Costello
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada/Department of Surgery (Ophthalmology), University of Calgary, Calgary, AB, Canada
| | - Jean K Mah
- Department Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Arun Reginald
- Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, ON, Canada/Department of Ophthalmology and Vision Sciences, The Hospital for Sick Children, Toronto, ON, Canada
| | - Brenda Banwell
- Division of Neurology, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Giulia Longoni
- SickKids Research Institute, Neuroscience and Mental Health Program, The Hospital for Sick Children, Toronto, ON, Canada/Division of Neurology, The Hospital for Sick Children, Toronto, ON, Canada/Department of Pediatrics, University of Toronto, Toronto, ON, Canada
| | - E Ann Yeh
- SickKids Research Institute, Neuroscience and Mental Health Program, The Hospital for Sick Children, Toronto, ON, Canada/Division of Neurology, The Hospital for Sick Children, Toronto, ON, Canada/Department of Pediatrics, University of Toronto, Toronto, ON, Canada.,Neuroscience and Mental Health Program, SickKids Research Institute, The Hospital for Sick Children, 555 University Avenue, Toronto, ON M5G 1X8, Canada
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Aly L, Noll C, Wicklein R, Wolf E, Romahn EF, Wauschkuhn J, Hosari S, Mardin C, Berthele A, Hemmer B, Korn T, Knier B. Dynamics of Retinal Vessel Loss After Acute Optic Neuritis in Patients With Relapsing Multiple Sclerosis. NEUROLOGY - NEUROIMMUNOLOGY NEUROINFLAMMATION 2022; 9:9/3/e1159. [PMID: 35301260 PMCID: PMC8931743 DOI: 10.1212/nxi.0000000000001159] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Accepted: 01/03/2022] [Indexed: 11/21/2022]
Abstract
Background and Objectives Rarefication of the retinal vasculature as measured by optical coherence tomography angiography (OCT-A) is a novel finding in patients with multiple sclerosis (MS). This study aimed to analyze longitudinal dynamics of the retinal vasculature following an acute inflammatory relapse including acute optic neuritis (ON) and to search for associations with alterations of the retinal architecture and visual function. Methods This prospective longitudinal cohort study included patients with relapsing-remitting MS or clinically isolated syndrome having an acute ON (n = 20) or a non-ON relapse (n = 33). Patients underwent examinations at baseline and after 7, 14, 28, 90, and 180 days with OCT, OCT-A, and assessment of the high- (HCVA) and low-contrast visual acuity (LCVA). Results Retinal vessel loss of the superficial vascular complex (SVC) evolves early after ON and reaches a plateau between 90 and 180 days (relative vessel loss 15% ± 8% [mean ± SD]). In addition, an 18% ± 18% intraindividual increase of the foveal avascular zone (FAZ) is evident within 180 days after acute ON. Both SVC thinning and FAZ enlargement were associated with worse HCVA and LCVA. Rarefication of the SVC evolved simultaneously to thinning of the common ganglion cell and inner plexiform layer (GCIP) after ON. No alterations of the deep vascular complex were seen in eyes with ON, and no alterations of the retinal vasculature were recognized in patients having acute non-ON relapses. Discussion Rarefication of the SVC and growing of the FAZ evolve rapidly after ON and are linked to persistent visual disability. ON-related SVC thinning might be closely linked to GCIP atrophy and might occur due to an altered local metabolic activity within inner retinal layers.
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Lee G, Park K, Oh SY, Min J, Kim BJ. Peripapillary and parafoveal microvascular changes in eyes with optic neuritis and their fellow eyes measured by optical coherence tomography angiography: an Exploratory Study. Acta Ophthalmol 2021; 99:288-298. [PMID: 32833336 DOI: 10.1111/aos.14577] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Revised: 07/04/2020] [Accepted: 07/09/2020] [Indexed: 12/20/2022]
Abstract
PURPOSE This study aimed to evaluate parafoveal and peripapillary microvascular alterations in eyes with optic neuritis (ON) along with their fellow eyes compared to healthy control eyes using optical coherence tomography angiography (OCT-A). METHODS We included 31 ON-affected eyes and 31 fellow eyes of 31 patients who had experienced unilateral ON and 33 eyes of 33 healthy controls in this exploratory retrospective cross-sectional study. Optical coherence tomography angiography (OCT-A) was used to generate microvascular structural images and quantify the vessel density of the superficial retinal capillary plexus (SRCP), the deep retinal capillary plexus (DRCP) and radial peripapillary capillary (RPC) segments. We used the Kruskal-Wallis test for the comparison of OCT-A results between the three groups and generalized estimating equation models for the pairwise comparisons. RESULTS There were significant differences of SRCP (p = 0.0003) and RPC segment (p < 0.0001) vessel densities between the three groups. Specifically, there was a reduction in parafoveal and peripapillary vessel density in the ON-affected eyes compared to fellow eyes (SRCP, estimates, -1.97, 95% confidence interval [CI], -3.07, -0.87; RPC, -6.95, 95% CI, -8.70, -5.19) and controls (SRCP, -3.15, 95% CI, -4.61, -1.69; RPC, -8.66, 95% CI, -10.55, -6.76). The superior sector of the RPC segments vessel density in the fellow eyes was decreased compared to the controls (-4.93, 95% CI, -8.07, -1.80). CONCLUSIONS The results of this study suggest that microvascular changes occur in both the affected eye and unaffected fellow eye after a unilateral ON episode. Future studies are needed to clarify the clinical implications of these findings.
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Affiliation(s)
- Ga‐In Lee
- Department of Ophthalmology Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Korea
| | - Kyung‐Ah Park
- Department of Ophthalmology Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Korea
| | - Sei Yeul Oh
- Department of Ophthalmology Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Korea
| | - Ju‐Hong Min
- Department of Neurology Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Korea
| | - Byoung Joon Kim
- Department of Neurology Samsung Medical Center Sungkyunkwan University School of Medicine Seoul Korea
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