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Montolío A, Cegoñino J, Garcia-Martin E, Pérez Del Palomar A. The macular retinal ganglion cell layer as a biomarker for diagnosis and prognosis in multiple sclerosis: A deep learning approach. Acta Ophthalmol 2024; 102:e272-e284. [PMID: 37300357 DOI: 10.1111/aos.15722] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 05/12/2023] [Accepted: 05/28/2023] [Indexed: 06/12/2023]
Abstract
PURPOSE The macular ganglion cell layer (mGCL) is a strong potential biomarker of axonal degeneration in multiple sclerosis (MS). For this reason, this study aims to develop a computer-aided method to facilitate diagnosis and prognosis in MS. METHODS This paper combines a cross-sectional study of 72 MS patients and 30 healthy control subjects for diagnosis and a 10-year longitudinal study of the same MS patients for the prediction of disability progression, during which the mGCL was measured using optical coherence tomography (OCT). Deep neural networks were used as an automatic classifier. RESULTS For MS diagnosis, greatest accuracy (90.3%) was achieved using 17 features as inputs. The neural network architecture comprised the input layer, two hidden layers and the output layer with softmax activation. For the prediction of disability progression 8 years later, accuracy of 81.9% was achieved with a neural network comprising two hidden layers and 400 epochs. CONCLUSION We present evidence that by applying deep learning techniques to clinical and mGCL thickness data it is possible to identify MS and predict the course of the disease. This approach potentially constitutes a non-invasive, low-cost, easy-to-implement and effective method.
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Affiliation(s)
- Alberto Montolío
- Biomaterials Group, Aragon Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
- Mechanical Engineering Department, University of Zaragoza, Zaragoza, Spain
| | - José Cegoñino
- Biomaterials Group, Aragon Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
- Mechanical Engineering Department, University of Zaragoza, Zaragoza, Spain
| | - Elena Garcia-Martin
- Ophthalmology Department, Miguel Servet University Hospital, Zaragoza, Spain
- GIMSO Research and Innovation Group, Aragon Institute for Health Research (IIS Aragon), Zaragoza, Spain
| | - Amaya Pérez Del Palomar
- Biomaterials Group, Aragon Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
- Mechanical Engineering Department, University of Zaragoza, Zaragoza, Spain
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Mrabet S, Falfoul Y, Bouassida M, Souissi A, El Matri K, Gharbi A, Chebil A, Kacem I, El Matri L, Gouider R. Retinal changes in multiple sclerosis: An optical coherence tomography and angiography study. Rev Neurol (Paris) 2024:S0035-3787(24)00421-1. [PMID: 38458836 DOI: 10.1016/j.neurol.2023.11.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 10/28/2023] [Accepted: 11/07/2023] [Indexed: 03/10/2024]
Abstract
BACKGROUND Multiple sclerosis (MS) is an autoimmune demyelinating disease of the central nervous system with neuroaxonal damage. It is the principal driver of non-traumatic disability in young adults. Visual symptoms are common and optic neuritis (ON) may be the revealing feature in up to 30% of cases. Structural optical coherence tomography (OCT) represents a biomarker of central nervous system neurodegeneration in MS. OCT-angiography (OCT-A) is a noninvasive tool allowing the study of retinal vasculature and the detection of microvascular damage in neuro-retinal diseases. In this study, we aimed to assess structural and microvascular retinal changes in patients with MS with and without ON and to correlate the findings with visual function and MS disability. METHODS We conducted a cross-sectional study including patients diagnosed with MS according to the 2017 McDonald criteria. All patients underwent complete neurological examination with evaluation of the Expanded Disability Status Scale (EDSS) and the Multiple Sclerosis Severity Score (MSSS) and an ophthalmological examination including OCT and OCT-A. Patients were compared with age- and sex-matched healthy subjects. The primary endpoints were assessment of retinal nerve fiber layer (RNFL) thickness, ganglion cell layer (GCL+), and ganglion cell complex (GCL++) thicknesses on OCT. Vascular densities in the superficial capillary plexus (SCP), deep capillary plexus (DCP), and choriocapillaris (CC) were assessed on OCT-A, as well as central avascular zone (CAZ) parameters, lacunarity and fractal dimension. RESULTS A total of 160 MS eyes with and without a previous history of ON and 64 age- and gender-matched healthy eyes were analyzed. Among 160 eyes with MS, 69 had a history of ON. We observed a decrease in RNFL and GCL++ thickness in all 12 quadrants in MS patients when compared to healthy controls. Multivariate analysis by linear regression noted a significant correlation for temporal GCL++ and inferonasal RNFL thickness that were decreased in the MS group. A greater decrease in retinal layers thickness was identified in MS patients with a history of ON. On OCT-A, vascular density in (SCP) was significantly reduced in the MS group (P<0.002). A significant correlation between RNFL thickness and retinal vascular density was found but only in less than half of the hourly quadrants. A significant correlation was noted between visual acuity and CC density (P<0.0001). We also noted an inverse correlation between EDSS scores and CC density (P=0.02 and r=-0.275) and between MSSS and RNFL/GCL++ thicknesses. CONCLUSIONS RNFL and GCL++ layers were thinner in MS patients with a history of ON and were reversely correlated with disease severity. Moreover, retinal vascular changes were observed in MS even in eyes without ON, and CC was reversely correlated with visual function and current disability. Thus, structural OCT coupled with OCT-A could represent a noninvasive and dynamic biomarker of MS severity and progression.
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Affiliation(s)
- S Mrabet
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, 2010 Tunis, Tunisia; Faculty of Medicine of Tunis, University of Tunis El Manar, 1007 Tunis, Tunisia
| | - Y Falfoul
- Department B, Hedi Raies Institute of Ophthalmology, Oculogenetic Laboratory LR14SP01, Tunis, Tunisia; Faculty of Medicine of Tunis, University of Tunis El Manar, 1007 Tunis, Tunisia
| | - M Bouassida
- Department B, Hedi Raies Institute of Ophthalmology, Oculogenetic Laboratory LR14SP01, Tunis, Tunisia
| | - A Souissi
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, 2010 Tunis, Tunisia; Faculty of Medicine of Tunis, University of Tunis El Manar, 1007 Tunis, Tunisia
| | - K El Matri
- Department B, Hedi Raies Institute of Ophthalmology, Oculogenetic Laboratory LR14SP01, Tunis, Tunisia; Faculty of Medicine of Tunis, University of Tunis El Manar, 1007 Tunis, Tunisia
| | - A Gharbi
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, 2010 Tunis, Tunisia; Faculty of Medicine of Tunis, University of Tunis El Manar, 1007 Tunis, Tunisia
| | - A Chebil
- Department B, Hedi Raies Institute of Ophthalmology, Oculogenetic Laboratory LR14SP01, Tunis, Tunisia; Faculty of Medicine of Tunis, University of Tunis El Manar, 1007 Tunis, Tunisia
| | - I Kacem
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, 2010 Tunis, Tunisia; Faculty of Medicine of Tunis, University of Tunis El Manar, 1007 Tunis, Tunisia
| | - L El Matri
- Department B, Hedi Raies Institute of Ophthalmology, Oculogenetic Laboratory LR14SP01, Tunis, Tunisia; Faculty of Medicine of Tunis, University of Tunis El Manar, 1007 Tunis, Tunisia
| | - R Gouider
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, 2010 Tunis, Tunisia; Faculty of Medicine of Tunis, University of Tunis El Manar, 1007 Tunis, Tunisia.
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Vidal-Jordana A, Sastre-Garriga J, Tintoré M, Rovira À, Montalban X. Optic nerve topography in multiple sclerosis diagnostic criteria: Existing knowledge and future directions. Mult Scler 2024; 30:139-149. [PMID: 38243584 DOI: 10.1177/13524585231225848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2024]
Abstract
Current diagnostic criteria for multiple sclerosis (MS) do not consider the optic nerve as a typical topography for establishing the diagnosis. Recent studies have proved the utility of optic nerve magnetic resonance imaging, optical coherence tomography and visual evoked potentials in detecting optic nerve lesions during the early stages of MS. In addition, emerging evidence supports the inclusion of optic nerve topography as a fifth region to fulfil the dissemination in space criteria. Anticipating a modification in the McDonald criteria, it is crucial for neurologists to familiarize with the diagnostic properties of each test in detecting optic nerve lesions and understand how to incorporate them into the MS diagnostic process. Therefore, the objective of this article is to review the existing evidence supporting the use of these tests in the diagnostic process of MS and provide a practical algorithm that can serve as a valuable guide for clinical practice.
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Affiliation(s)
- Angela Vidal-Jordana
- Neurology Department and Multiple Sclerosis Centre of Catalunya (Cemcat), Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jaume Sastre-Garriga
- Neurology Department and Multiple Sclerosis Centre of Catalunya (Cemcat), Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mar Tintoré
- Neurology Department and Multiple Sclerosis Centre of Catalunya (Cemcat), Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Àlex Rovira
- Neuroradiology Section, Department of Radiology, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Xavier Montalban
- Neurology Department and Multiple Sclerosis Centre of Catalunya (Cemcat), Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
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Vidal-Jordana A, Rovira A, Calderon W, Arrambide G, Castilló J, Moncho D, Rahnama K, Collorone S, Toosy AT, Ciccarelli O, Papadopoulou A, Cerdá-Fuertes N, Lieb JM, Ruggieri S, Tortorella C, Gasperini C, Bisecco A, Capuano R, Gallo A, De Barros A, Salerno A, Auger C, Sastre-Garriga J, Tintore M, Montalban X. Adding the Optic Nerve in Multiple Sclerosis Diagnostic Criteria: A Longitudinal, Prospective, Multicenter Study. Neurology 2024; 102:e200805. [PMID: 38165378 PMCID: PMC10834130 DOI: 10.1212/wnl.0000000000207805] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 09/20/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES The optic nerve is not one of the areas of the CNS that can be used to demonstrate dissemination in space (DIS) within the 2017 McDonald criteria for the diagnosis of multiple sclerosis (MS). Objectives were (1) to assess whether optic nerve-MRI (ON-MRI), optical coherence tomography (OCT), and visual evoked potentials (VEP) detect optic nerve involvement in clinically isolated syndrome (CIS) and (2) to evaluate the contribution of the optic nerve topography to the current diagnostic criteria in a prospective, multicenter cohort. METHODS MAGNIMS centers were invited to provide prospective data on patients with CIS who underwent a visual assessment with at least 2 of 3 investigations (ON-MRI, OCT, or VEP) within 6 months of onset. Modified DIS criteria were constructed by adding the optic nerve topography, defined by each investigation separately and any combination of them, as the fifth area of the CNS. A risk assessment analysis and the performance of the different DIS criteria were analyzed using the diagnosis of MS according to the 2017 McDonald criteria as the primary outcome and new T2 lesions and/or a second relapse as the secondary outcome. RESULTS We included 157 patients with CIS from 5 MAGNIMS centers; 60/157 (38.2%) patients presented with optic neuritis. Optic nerve involvement on ON-MRI was found in 40.2% patients at study entry and in 72.5% of those with optic neuritis.At follow-up (mean 27.9 months, SD 14.5), 111/157 patients (70.7%) were diagnosed with MS according to the 2017 McDonald criteria. Fulfilling either 2017 DIS or any modified DIS criteria conferred a similar high risk for reaching primary and secondary outcomes. The modified DIS criteria had higher sensitivity (92.5% [with ON-MRI] vs 88.2%), but slightly lower specificity (80.0% [with GCIPL IEA ≥4 μm] vs 82.2%), with overall similar accuracy (86.6% [with ON-MRI] vs 86.5%) than 2017 DIS criteria. Consistent results were found for secondary outcomes. DISCUSSION In patients with CIS, the presence of an optic nerve lesion defined by MRI, OCT, or VEP is frequently detected, especially when presenting with optic neuritis. Our study supports the addition of the optic nerve as a fifth topography to fulfill DIS criteria.
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Affiliation(s)
- Angela Vidal-Jordana
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Alex Rovira
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Willem Calderon
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Georgina Arrambide
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Joaquín Castilló
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Dulce Moncho
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Kimia Rahnama
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Sara Collorone
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Ahmed T Toosy
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Olga Ciccarelli
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Athina Papadopoulou
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Nuria Cerdá-Fuertes
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Johanna M Lieb
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Serena Ruggieri
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Carla Tortorella
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Claudio Gasperini
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Alvino Bisecco
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Rocco Capuano
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Antonio Gallo
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Andrea De Barros
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Annalaura Salerno
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Cristina Auger
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Jaume Sastre-Garriga
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Mar Tintore
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
| | - Xavier Montalban
- From the Hospital Universitari Vall d'Hebron (A.V.-J., A.R., G.A., J.C., D.M., K.R., A.D.B., A.S., C.A., J.S.-G., M.T., X.M.), Barcelona, Spain; Vall d'Hebron Research Institute (VHIR) (W.C.), Universitat Autònoma de Barcelona, Spain; University College London (UCL) (S.C., A.T.T., O.C.), United Kingdom; Institute of Neurology (O.C.), London, United Kingdom; University Hospital Basel (A.P., N.C.-F., J.M.L.), Switzerland; San Camillo-Forlanini Hospital (S.R., C.T., C.G.), Rome, Italy; University of Campania Luigi Vanvitelli (A.B., R.C., A.G.), Naples, Italy
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Hammer DX, Kovalick K, Liu Z, Chen C, Saeedi OJ, Harrison DM. Cellular-Level Visualization of Retinal Pathology in Multiple Sclerosis With Adaptive Optics. Invest Ophthalmol Vis Sci 2023; 64:21. [PMID: 37971733 PMCID: PMC10664728 DOI: 10.1167/iovs.64.14.21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/09/2023] [Indexed: 11/19/2023] Open
Abstract
Purpose To apply adaptive optics-optical coherence tomography (AO-OCT) to quantify multiple sclerosis (MS)-induced changes in axonal bundles in the macular nerve fiber layer, ganglion cell somas, and macrophage-like cells at the vitreomacular interface. Methods We used AO-OCT imaging in a pilot study of MS participants (n = 10), including those without and with a history of optic neuritis (ON, n = 4), and healthy volunteers (HV, n = 9) to reveal pathologic changes to inner retinal cells and structures affected by MS. Results We found that nerve fiber layer axonal bundles had 38% lower volume in MS participants (1.5 × 10-3 mm3) compared to HVs (2.4 × 10-3 mm3; P < 0.001). Retinal ganglion cell (RGC) density was 51% lower in MS participants (12.3 cells/mm2 × 1000) compared to HVs (25.0 cells/mm2 × 1000; P < 0.001). Spatial differences across the macula were observed in RGC density. RGC diameter was 15% higher in MS participants (11.7 µm) compared to HVs (10.1 µm; P < 0.001). A nonsignificant trend of higher density of macrophage-like cells in MS eyes was also observed. For all AO-OCT measures, outcomes were worse for MS participants with a history of ON compared to MS participants without a history of ON. AO-OCT measures were associated with key visual and physical disabilities in the MS cohort. Conclusions Our findings demonstrate the utility of AO-OCT for highly sensitive and specific detection of neurodegenerative changes in MS. Moreover, the results shed light on the mechanisms that underpin specific neuronal pathology that occurs when MS attacks the retina. The new findings support the further development of AO-based biomarkers for MS.
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Affiliation(s)
- Daniel X. Hammer
- Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland, United States
| | - Katherine Kovalick
- Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland, United States
- Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, United States
| | - Zhuolin Liu
- Division of Biomedical Physics, Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland, United States
| | - Chixiang Chen
- Division of Biostatistics and Bioinformatics, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, United States
- Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, United States
| | - Osamah J. Saeedi
- Department of Ophthalmology and Visual Sciences, University of Maryland School of Medicine, Baltimore, Maryland, United States
| | - Daniel M. Harrison
- Department of Neurology, University of Maryland School of Medicine, Baltimore, Maryland, United States
- Department of Neurology, Baltimore VA Medical Center, Baltimore, Maryland, United States
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Miante S, Margoni M, Moretto M, Pengo M, Carmisciano L, Spolettini P, Silvestri E, Danieletto M, Franciotta S, Miscioscia A, Bertoldo A, Puthenparampil M, Gallo P. Trans-synaptic degeneration in the optic pathway: Exploring the role of lateral geniculate nucleus in early stages of relapsing-remitting multiple sclerosis. Mult Scler Relat Disord 2023; 77:104877. [PMID: 37454566 DOI: 10.1016/j.msard.2023.104877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 06/07/2023] [Accepted: 07/04/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Optic pathway is considered an ideal model to study the interaction between inflammation and neurodegeneration in multiple sclerosis (MS). METHODS Optical Coherence Tomography (OCT) and 3.0 T magnetic resonance imaging (MRI) were acquired in 92 relapsing remitting (RR) MS at clinical onset. Peripapillary RNFL (pRNFL) and macular layers were measured. White matter (WM) and gray matter (GM) lesion volumes (LV), lateral geniculate nucleus (LGN) volume, optic radiations (OR) WM LV, thickness of pericalcarine cortex were evaluated. OCT and MRI control groups (healthy controls [HC]-OCT and HC-MRI) were included. RESULTS A significant thinning of temporal pRNFL and papillo-macular bundle (PMB) was observed (p<0.001) in 16 (17%) patients presented with monocular optic neuritis (MSON+), compared to 76 MSON- and 30 HC (-15 μm). In MSON-, PMB was reduced (-3 μm) compared to HC OCT (p<0.05). INL total volume was increased both in MSON+ (p<0.001) and MSON- (p = 0.033). Inner retinal layers volumes (macular RNFL, GCL and IPL) were significantly decreased in MSON+ compared to HC (p<0.001) and MSON- (p<0.001). Reduced GCL volume in the parafoveal ring was observed in MSON- compared to HCOCT (p < 0.05). LGN volume was significantly reduced only in MSON+ patients compared to HC-MRI (p<0.001) and MSON- (p<0.007). GCL, IPL and GCIP volumes associated with ipsilateral LGN volume in MSON+ and MSON-. Finally, LGN volume associated with visual cortex thickness with no significant difference between MSON+ and MSON-. CONCLUSIONS Anterograde trans-synaptic degeneration is early detectable in RRMS presenting with optic neuritis but does not involve LGN.
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Affiliation(s)
- Silvia Miante
- Multiple Sclerosis Centre, Neurology Clinic, Department of Neuroscience, University of Padua, Padua, Italy.
| | - Monica Margoni
- Multiple Sclerosis Centre, Neurology Clinic, Department of Neuroscience, University of Padua, Padua, Italy; Padova Neuroscience Centre (PNC), University of Padua, Padua, Italy
| | - Manuela Moretto
- Padova Neuroscience Centre (PNC), University of Padua, Padua, Italy; Department of Information Engineering, University of Padua, Padua, Italy
| | - Marta Pengo
- Multiple Sclerosis Centre, Neurology Clinic, Department of Neuroscience, University of Padua, Padua, Italy
| | - Luca Carmisciano
- DISSAL, Department of Health Science, University of Genoa, Genoa, Italy
| | - Pietro Spolettini
- Multiple Sclerosis Centre, Neurology Clinic, Department of Neuroscience, University of Padua, Padua, Italy
| | - Erica Silvestri
- Padova Neuroscience Centre (PNC), University of Padua, Padua, Italy; Department of Information Engineering, University of Padua, Padua, Italy
| | - Matteo Danieletto
- Institute for Next Generation Healthcare, Icahn School of Medicine at Mount Sinai, NY
| | - Silvia Franciotta
- Multiple Sclerosis Centre, Neurology Clinic, Department of Neuroscience, University of Padua, Padua, Italy
| | - Alessandro Miscioscia
- Multiple Sclerosis Centre, Neurology Clinic, Department of Neuroscience, University of Padua, Padua, Italy
| | - Alessandra Bertoldo
- Padova Neuroscience Centre (PNC), University of Padua, Padua, Italy; Department of Information Engineering, University of Padua, Padua, Italy
| | - Marco Puthenparampil
- Multiple Sclerosis Centre, Neurology Clinic, Department of Neuroscience, University of Padua, Padua, Italy
| | - Paolo Gallo
- Multiple Sclerosis Centre, Neurology Clinic, Department of Neuroscience, University of Padua, Padua, Italy
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Toosy AT, Vidal-Jordana A. Is the Optic Nerve Overdue as a Criterion to Support the Diagnosis of Multiple Sclerosis? Neurology 2023; 101:335-336. [PMID: 37400247 DOI: 10.1212/wnl.0000000000207625] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 05/23/2023] [Indexed: 07/05/2023] Open
Affiliation(s)
- Ahmed T Toosy
- From the Queen Square Multiple Sclerosis Centre (A.T.T.), Department of Neuroinflammation, Queen Square UCL Institute of Neurology, University College London, United Kingdom; and Servicio de Neurología (A.V.-J.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain.
| | - Angela Vidal-Jordana
- From the Queen Square Multiple Sclerosis Centre (A.T.T.), Department of Neuroinflammation, Queen Square UCL Institute of Neurology, University College London, United Kingdom; and Servicio de Neurología (A.V.-J.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain
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Bsteh G, Hegen H, Altmann P, Auer M, Berek K, Di Pauli F, Kornek B, Krajnc N, Leutmezer F, Macher S, Rommer PS, Zebenholzer K, Zulehner G, Zrzavy T, Deisenhammer F, Pemp B, Berger T. Diagnostic Performance of Adding the Optic Nerve Region Assessed by Optical Coherence Tomography to the Diagnostic Criteria for Multiple Sclerosis. Neurology 2023; 101:e784-e793. [PMID: 37400245 PMCID: PMC10449446 DOI: 10.1212/wnl.0000000000207507] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 04/24/2023] [Indexed: 07/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES The optic nerve has been recommended as an additional region for demonstrating dissemination in space (DIS) in diagnostic criteria for multiple sclerosis (MS). The aim of this study was to investigate whether adding the optic nerve region as determined by optical coherence tomography (OCT) as part of the DIS criteria improves the 2017 diagnostic criteria. METHODS From a prospective observational study, we included patients with a first demyelinating event who had complete information to assess DIS and a spectral domain OCT scan obtained within 180 days. Modified DIS criteria (DIS + OCT) were constructed by adding the optic nerve to the current DIS regions based on validated thresholds for OCT intereye differences. Time to second clinical attack was the primary endpoint. RESULTS We analyzed 267 patients with MS (mean age 31.3 years [SD 8.1], 69% female) during a median observation period of 59 months (range: 13-98). Adding the optic nerve as a fifth region improved the diagnostic performance by increasing accuracy (DIS + OCT 81.2% vs DIS 65.6%) and sensitivity (DIS + OCT 84.2% vs DIS 77.9%) without lowering specificity (DIS + OCT 52.2% vs DIS 52.2%). Fulfilling DIS + OCT criteria (≥2 of 5 DIS + OCT regions involved) indicated a similar risk of a second clinical attack (hazard ratio [HR] 3.6, CI 1.4-14.5) compared with a 2.5-fold increased risk when fulfilling DIS criteria (HR 2.5, CI 1.2-11.8). When the analysis was conducted according to topography of the first demyelinating event, DIS + OCT criteria performed similarly in both optic neuritis and nonoptic neuritis. DISCUSSION Addition of the optic nerve, assessed by OCT, as a fifth region in the current DIS criteria improves diagnostic performance by increasing sensitivity without lowering specificity. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that adding the optic nerve as determined by OCT as a fifth DIS criterion to the 2017 McDonald criteria improves diagnostic accuracy.
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Affiliation(s)
- Gabriel Bsteh
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria.
| | - Harald Hegen
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
| | - Patrick Altmann
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
| | - Michael Auer
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
| | - Klaus Berek
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
| | - Franziska Di Pauli
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
| | - Barbara Kornek
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
| | - Nik Krajnc
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
| | - Fritz Leutmezer
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
| | - Stefan Macher
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
| | - Paulus Stefan Rommer
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
| | - Karin Zebenholzer
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
| | - Gudrun Zulehner
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
| | - Tobias Zrzavy
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
| | - Florian Deisenhammer
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
| | - Berthold Pemp
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
| | - Thomas Berger
- From the Department of Neurology (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Comprehensive Center for Clinical Neurosciences and Mental Health (G.B., P.A., B.K., N.K., F.L., S.M., P.S.R., K.Z., G.Z., T.Z., T.B.), Medical University of Vienna; Department of Neurology (H.H., M.A., K.B., F.D.P., F.D.), Medical University of Innsbruck; and Department of Ophthalmology (B.P.), Medical University of Vienna, Austria
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Hernandez M, Ramon-Julvez U, Vilades E, Cordon B, Mayordomo E, Garcia-Martin E. Explainable artificial intelligence toward usable and trustworthy computer-aided diagnosis of multiple sclerosis from Optical Coherence Tomography. PLoS One 2023; 18:e0289495. [PMID: 37549174 PMCID: PMC10406231 DOI: 10.1371/journal.pone.0289495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 07/19/2023] [Indexed: 08/09/2023] Open
Abstract
BACKGROUND Several studies indicate that the anterior visual pathway provides information about the dynamics of axonal degeneration in Multiple Sclerosis (MS). Current research in the field is focused on the quest for the most discriminative features among patients and controls and the development of machine learning models that yield computer-aided solutions widely usable in clinical practice. However, most studies are conducted with small samples and the models are used as black boxes. Clinicians should not trust machine learning decisions unless they come with comprehensive and easily understandable explanations. MATERIALS AND METHODS A total of 216 eyes from 111 healthy controls and 100 eyes from 59 patients with relapsing-remitting MS were enrolled. The feature set was obtained from the thickness of the ganglion cell layer (GCL) and the retinal nerve fiber layer (RNFL). Measurements were acquired by the novel Posterior Pole protocol from Spectralis Optical Coherence Tomography (OCT) device. We compared two black-box methods (gradient boosting and random forests) with a glass-box method (explainable boosting machine). Explainability was studied using SHAP for the black-box methods and the scores of the glass-box method. RESULTS The best-performing models were obtained for the GCL layer. Explainability pointed out to the temporal location of the GCL layer that is usually broken or thinning in MS and the relationship between low thickness values and high probability of MS, which is coherent with clinical knowledge. CONCLUSIONS The insights on how to use explainability shown in this work represent a first important step toward a trustworthy computer-aided solution for the diagnosis of MS with OCT.
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Affiliation(s)
- Monica Hernandez
- Computer Science Department, University of Zaragoza, Zaragoza, Spain
- Aragon Institute on Engineering Research, Zaragoza, Spain
| | - Ubaldo Ramon-Julvez
- Computer Science Department, University of Zaragoza, Zaragoza, Spain
- Aragon Institute on Engineering Research, Zaragoza, Spain
| | - Elisa Vilades
- Ophtalmology Department, Miguel Servet Hospital, Zaragoza, Spain
| | - Beatriz Cordon
- Ophtalmology Department, Miguel Servet Hospital, Zaragoza, Spain
| | - Elvira Mayordomo
- Computer Science Department, University of Zaragoza, Zaragoza, Spain
- Aragon Institute on Engineering Research, Zaragoza, Spain
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Davion JB, Jougleux C, Lopes R, Leclerc X, Outteryck O. Relation between retina, cognition and brain volumes in MS: a consequence of asymptomatic optic nerve lesions. J Neurol 2023; 270:240-249. [PMID: 36018381 DOI: 10.1007/s00415-022-11348-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 08/16/2022] [Accepted: 08/17/2022] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Asymptomatic optic nerve lesions are frequent in multiple sclerosis (MS) and their impact on cognition and/or brain volume has never been taken into account. PATIENTS AND METHODS We used the data from the cross-sectional Visual Ways in MS (VWIMS) study including relapsing remitting MS. All patients underwent brain and optic nerve Magnetic Resonance Imaging (MRI) including Double Inversion Recuperation (DIR) sequence, retinal OCT, and cognitive evaluation with the Brief International Cognitive Assessment in MS (BICAMS). We measured the association between OCT findings (thickness/volume of retinal layers) and extra-visual parameters (cerebral volumes and BICAMS scores) in optic nerves with and/or without the presence of DIR asymptomatic optic nerve hypersignal. RESULTS Between March and December 2017, we included 98 patients. Two patients were excluded. Over the 192 eyes, 73 had at least one clinical history of optic neuritis (ON-eyes) whereas 119 were asymptomatic (NON-eyes). Among the 119 NON-eyes, 58 had 3D-DIR optic nerve hypersignal (48.7%). We confirmed significant associations between some retinal OCT measures and some extra-visual parameters (cerebral volumes, cognitive scores) in NON-eyes. Unexpectedly, these associations were found when an asymptomatic optic nerve DIR-hypersignal was present on MRI, but not when it was absent. CONCLUSION Our study showed a relation between OCT measures and extra-visual parameters in NON-eyes MS patients. As a confusion factor, asymptomatic optic nerve lesions may be the explanation of the relation between OCT measures and extra-visual parameters. Retinal OCT seems to be far more a "window over the optic nerve" than a "window over the brain".
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Affiliation(s)
- Jean-Baptiste Davion
- Department of Neuroradiology, Univ. Lille, INSERM, CHU Lille, U1172, Degenerative and Vascular Cognitive Disorders, 59000, Lille, France
| | - Caroline Jougleux
- Department of Neurology, Multiple Sclerosis Center of Lille, Univ. Lille, 59000, Lille, France
| | - Renaud Lopes
- Department of Neuroradiology, Univ. Lille, INSERM, CHU Lille, U1172, Degenerative and Vascular Cognitive Disorders, 59000, Lille, France
| | - Xavier Leclerc
- Department of Neuroradiology, Univ. Lille, INSERM, CHU Lille, U1172, Degenerative and Vascular Cognitive Disorders, 59000, Lille, France
| | - Olivier Outteryck
- Department of Neuroradiology, Univ. Lille, INSERM, CHU Lille, U1172, Degenerative and Vascular Cognitive Disorders, 59000, Lille, France.
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11
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Petzold A, Fraser CL, Abegg M, Alroughani R, Alshowaeir D, Alvarenga R, Andris C, Asgari N, Barnett Y, Battistella R, Behbehani R, Berger T, Bikbov MM, Biotti D, Biousse V, Boschi A, Brazdil M, Brezhnev A, Calabresi PA, Cordonnier M, Costello F, Cruz FM, Cunha LP, Daoudi S, Deschamps R, de Seze J, Diem R, Etemadifar M, Flores-Rivera J, Fonseca P, Frederiksen J, Frohman E, Frohman T, Tilikete CF, Fujihara K, Gálvez A, Gouider R, Gracia F, Grigoriadis N, Guajardo JM, Habek M, Hawlina M, Martínez-Lapiscina EH, Hooker J, Hor JY, Howlett W, Huang-Link Y, Idrissova Z, Illes Z, Jancic J, Jindahra P, Karussis D, Kerty E, Kim HJ, Lagrèze W, Leocani L, Levin N, Liskova P, Liu Y, Maiga Y, Marignier R, McGuigan C, Meira D, Merle H, Monteiro MLR, Moodley A, Moura F, Muñoz S, Mustafa S, Nakashima I, Noval S, Oehninger C, Ogun O, Omoti A, Pandit L, Paul F, Rebolleda G, Reddel S, Rejdak K, Rejdak R, Rodriguez-Morales AJ, Rougier MB, Sa MJ, Sanchez-Dalmau B, Saylor D, Shatriah I, Siva A, Stiebel-Kalish H, Szatmary G, Ta L, Tenembaum S, Tran H, Trufanov Y, van Pesch V, Wang AG, Wattjes MP, Willoughby E, Zakaria M, Zvornicanin J, Balcer L, Plant GT. Diagnosis and classification of optic neuritis. Lancet Neurol 2022; 21:1120-1134. [PMID: 36179757 DOI: 10.1016/s1474-4422(22)00200-9] [Citation(s) in RCA: 67] [Impact Index Per Article: 33.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 03/16/2022] [Accepted: 04/20/2022] [Indexed: 11/28/2022]
Abstract
There is no consensus regarding the classification of optic neuritis, and precise diagnostic criteria are not available. This reality means that the diagnosis of disorders that have optic neuritis as the first manifestation can be challenging. Accurate diagnosis of optic neuritis at presentation can facilitate the timely treatment of individuals with multiple sclerosis, neuromyelitis optica spectrum disorder, or myelin oligodendrocyte glycoprotein antibody-associated disease. Epidemiological data show that, cumulatively, optic neuritis is most frequently caused by many conditions other than multiple sclerosis. Worldwide, the cause and management of optic neuritis varies with geographical location, treatment availability, and ethnic background. We have developed diagnostic criteria for optic neuritis and a classification of optic neuritis subgroups. Our diagnostic criteria are based on clinical features that permit a diagnosis of possible optic neuritis; further paraclinical tests, utilising brain, orbital, and retinal imaging, together with antibody and other protein biomarker data, can lead to a diagnosis of definite optic neuritis. Paraclinical tests can also be applied retrospectively on stored samples and historical brain or retinal scans, which will be useful for future validation studies. Our criteria have the potential to reduce the risk of misdiagnosis, provide information on optic neuritis disease course that can guide future treatment trial design, and enable physicians to judge the likelihood of a need for long-term pharmacological management, which might differ according to optic neuritis subgroups.
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12
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Yu Z, Ye J, Lu F, Shen M. Trends in Research Related to Ophthalmic OCT Imaging From 2011 to 2020: A Bibliometric Analysis. Front Med (Lausanne) 2022; 9:820706. [PMID: 35572958 PMCID: PMC9091450 DOI: 10.3389/fmed.2022.820706] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 02/17/2022] [Indexed: 01/02/2023] Open
Abstract
ObjectiveThe aim of this study was to explore hotspots and global research trends on optical coherence tomography (OCT) in the ophthalmic imaging field using the bibliometric technique.MethodsDocuments related to OCT in the ophthalmic imaging field between 2011 and 2020 were extracted from the Science Citation Index (SCI) Expanded database. Downloaded raw data were analyzed using the VOSviewer and CiteSpace software. Bibliometric networks, including publication number per year, countries, authors, journals, international collaborations, and keywords were constructed.ResultsA total of 4,270 peer-reviewed documents were retrieved, and annual research output in the past 10 years has increased significantly. The largest publishing country was the United States, and the most productive journal was Investigative Ophthalmology and Visual Science (IOVS). The most active academic institution was the University of California, Los Angeles, and the top rank publishing author was Duker JS. The most co-cited references mainly focused on new emerging OCT techniques such as spectral domain optical coherence tomography (SD-OCT) and optical coherence tomography angiography (OCTA).ConclusionThe bibliometric analysis of development trends on OCT in the ophthalmic imaging field on various aspects could provide developers or researchers with valuable information to propose future research directions and to pursue further cooperation.
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Affiliation(s)
- Ziyan Yu
- School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, China
- Department of Ophthalmology, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Jie Ye
- School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Optometry, Ophthalmology and Vision Science, Wenzhou, China
| | - Fan Lu
- School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Optometry, Ophthalmology and Vision Science, Wenzhou, China
- Fan Lu
| | - Meixiao Shen
- School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, China
- State Key Laboratory of Optometry, Ophthalmology and Vision Science, Wenzhou, China
- *Correspondence: Meixiao Shen
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13
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Denis M, Woillez JP, Smirnov VM, Drumez E, Lannoy J, Boucher J, Zedet M, Pruvo JP, Labreuche J, Zephir H, Leclerc X, Outteryck O. Optic Nerve Lesion Length at the Acute Phase of Optic Neuritis Is Predictive of Retinal Neuronal Loss. NEUROLOGY - NEUROIMMUNOLOGY NEUROINFLAMMATION 2022; 9:9/2/e1135. [PMID: 35091465 PMCID: PMC8802684 DOI: 10.1212/nxi.0000000000001135] [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: 09/10/2021] [Accepted: 12/03/2021] [Indexed: 11/15/2022]
Abstract
Background and Objectives Acute optic neuritis (ON) is a classical presenting symptom of multiple sclerosis (MS), neuromyelitis optica spectrum disorders (NMOSD), and anti–MOG-associated disorders. The resulting visual impairment is variable and can be severe. Clinicians are in need of predictive biomarkers to optimize the management of acute ON. In this longitudinal study (IRMANO, NCT03651662), we evaluated the ability of optic nerve lesion length measured on MRI at the acute phase of ON to predict retinal neuro-axonal loss and visual impairment at a chronic stage. Methods We conducted a longitudinal study (IRMANO, NCT03651662) of patients who presented a clinical episode of ON (≤8 weeks). All patients underwent a retinal optical coherence tomography (OCT) and a brain/optic nerve MRI, including 3D double-inversion recovery (DIR) sequence at the acute phase of ON and 12 months later. Primary outcomes were optic nerve DIR hypersignal lesion length, macular ganglion cell–inner plexiform layer (GCIPL) volume measured on OCT, and low-contrast monocular visual acuity (LCMVA). Results The study group included 51 patients (33 women, mean age of 32.4 years ± 7.9). We recruited patients with a clinically isolated syndrome (n = 20), a relapsing-remitting MS (n = 23), an isolated ON (n = 6), and a first clinical episode of NMOSD (n = 2). Optic nerve DIR hypersignal was observed in all but 1 symptomatic optic nerves. At inclusion, the mean optic nerve lesion length (in mm) was 12.35 ± 5.98. The mean GCIPL volume (in mm3) significantly decreased between inclusion (1.90 ± 0.18) and M12 (1.67 ± 0.21; p < 0.0001). Optic nerve lesion length at inclusion was significantly associated with GCIPL thinning (estimate ± SD; −0.012 ± 0.004; p = 0.0016) and LCMVA at M12 (0.016 ± 0.003; p < 0.001). Optic nerve lesion length significantly increased at M12 (15.76 ± 8.70; p = 0.0007). The increase in optic nerve lesion length was significantly associated with the GCIPL thinning between inclusion and M12 (−0.012 ± 0.003; p = 0.0011). Discussion At the acute phase of ON, optic nerve lesion length is an imaging biomarker predictive of retinal neuro-axonal loss and chronic visual impairment, which can help to stratify future therapeutic strategies in acute ON. Classification of Evidence This study provides Class I evidence that optic nerve lesion length measured on MRI during the acute phase of a first episode of ON is associated with long-term retinal neuro-axonal loss and visual impairment.
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14
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Comparison of Machine Learning Methods Using Spectralis OCT for Diagnosis and Disability Progression Prognosis in Multiple Sclerosis. Ann Biomed Eng 2022; 50:507-528. [PMID: 35220529 PMCID: PMC9001622 DOI: 10.1007/s10439-022-02930-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 02/10/2022] [Indexed: 12/28/2022]
Abstract
Machine learning approaches in diagnosis and prognosis of multiple sclerosis (MS) were analysed using retinal nerve fiber layer (RNFL) thickness, measured by optical coherence tomography (OCT). A cross-sectional study (72 MS patients and 30 healthy controls) was used for diagnosis. These 72 MS patients were involved in a 10-year longitudinal follow-up study for prognostic purposes. Structural measurements of RNFL thickness were performed using different Spectralis OCT protocols: fast macular thickness protocol to measure macular RNFL, and fast RNFL thickness protocol and fast RNFL-N thickness protocol to measure peripapillary RNFL. Binary classifiers such as multiple linear regression (MLR), support vector machines (SVM), decision tree (DT), k-nearest neighbours (k-NN), Naïve Bayes (NB), ensemble classifier (EC) and long short-term memory (LSTM) recurrent neural network were tested. For MS diagnosis, the best acquisition protocol was fast macular thickness protocol using k-NN (accuracy: 95.8%; sensitivity: 94.4%; specificity: 97.2%; precision: 97.1%; AUC: 0.958). For MS prognosis, our model with a 3-year follow up to predict disability progression 8 years later was the best predictive model. DT performed best for fast macular thickness protocol (accuracy: 91.3%; sensitivity: 90.0%; specificity: 92.5%; precision: 92.3%; AUC: 0.913) and SVM for fast RNFL-N thickness protocol (accuracy: 91.3%; sensitivity: 87.5%; specificity: 95.0%; precision: 94.6%; AUC: 0.913). This work concludes that measurements of RNFL thickness obtained with Spectralis OCT have a good ability to diagnose MS and to predict disability progression in MS patients. This machine learning approach would help clinicians to have valuable information.
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15
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Rose DR, Amin M, Ontaneda D. Prediction in treatment outcomes in multiple sclerosis: challenges and recent advances. Expert Rev Clin Immunol 2021; 17:1187-1198. [PMID: 34570656 DOI: 10.1080/1744666x.2021.1986005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Multiple Sclerosis (MS) is a chronic autoimmune and neurodegenerative disease of the central nervous system with a course dependent on early treatment response. Increasing evidence also suggests that despite eliminating disease activity (relapses and lesions), many patients continue to accrue disability, highlighting the need for a more comprehensive definition of treatment success. Optimizing disability outcome measures, as well as continuously improving our understanding of neuroinflammatory and neurodegenerative biomarkers is required. AREAS COVERED This review describes the challenges inherent in classifying and monitoring disease phenotype in MS. The review also provides an assessment of clinical, radiological, and blood biomarker tools for current and future practice. EXPERT OPINION Emerging MRI techniques and standardized patient outcome assessments will increase the accuracy of initial diagnosis and understanding of disease progression.
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Affiliation(s)
- Deja R Rose
- Cleveland Clinic, Mellen Center for Multiple Sclerosis, Cleveland Ohio, United States
| | - Moein Amin
- Cleveland Clinic, Mellen Center for Multiple Sclerosis, Cleveland Ohio, United States.,Department of Neurology, Cleveland Clinic, Cleveland Ohio, United States
| | - Daniel Ontaneda
- Cleveland Clinic, Mellen Center for Multiple Sclerosis, Cleveland Ohio, United States.,Department of Neurology, Cleveland Clinic, Cleveland Ohio, United States
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16
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Pisa M, Croese T, Dalla Costa G, Guerrieri S, Huang SC, Finardi A, Fabbella L, Sangalli F, Colombo B, Moiola L, Martinelli V, Comi G, Furlan R, Leocani L. Subclinical anterior optic pathway involvement in early multiple sclerosis and clinically isolated syndromes. Brain 2021; 144:848-862. [PMID: 33829250 DOI: 10.1093/brain/awaa458] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 10/09/2020] [Accepted: 10/23/2020] [Indexed: 11/12/2022] Open
Abstract
Optical coherence tomography (OCT) is gaining increasing relevance in the assessment of patients with multiple sclerosis. Converging evidence point to the view that neuro-retinal changes, in eyes without acute optic neuritis, reflect inflammatory and neurodegenerative processes taking place throughout the CNS. The present study aims at exploring the usefulness of OCT as a marker of inflammation and disease burden in the earliest phases of the disease. Thus, a cohort of 150 consecutive patients underwent clinical, neurophysiological and brain MRI assessment as well as lumbar puncture as part of their diagnostic workup for a neurological episode suggestive of inflammatory CNS disorder; among those 32 patients had another previous misdiagnosed episode. For the present study, patients also received a visual pathway assessment (OCT, visual evoked potentials, visual acuity), measurement of CSF inflammatory markers (17 cytokines-chemokines, extracellular vesicles of myeloid origin), and dosage of plasma neurofilaments. Subclinical optic nerve involvement is frequently found in clinically isolated syndromes by visual evoked potentials (19.2%). OCT reveals ganglion cell layer asymmetries in 6.8% of patients; retinal fibre layer asymmetries, despite being more frequent (17.8%), display poor specificity. The presence of subclinical involvement is associated with a greater disease burden. Second, ganglion cell layer thinning reflects the severity of disease involvement even beyond the anterior optic pathway. In fact, the ganglion cell layer in eyes without evidence of subclinical optic involvement is correlated with Expanded Disability Status Scale, low contrast visual acuity, disease duration, brain lesion load, presence of gadolinium enhancing lesions, abnormalities along motor and somatosensory evoked potentials, and frequency of CSF-specific oligoclonal bands. Third, the inner nuclear layer thickens in a post-acute (1.1-3.7 months) phase after a relapse, and this phenomenon is counteracted by steroid treatment. Likewise, a longitudinal analysis on 65 patients shows that this swelling is transient and returns to normal values after 1 year follow-up. Notwithstanding, the clinical, MRI, serological and CSF markers of disease activity considered in the study are strictly associated with one another, but none of them are associated with the inner nuclear layer. Our findings challenge the current hypothesis that the inner nuclear layer is an acute phase marker of inflammatory activity. The present study suggests that instrumental evidence of subclinical optic nerve involvement is associated with a greater disease burden in clinically isolated syndrome. Neuro-retinal changes are present since the earliest phases of the disease and yield important information regarding the neurodegenerative and inflammatory processes occurring in the CNS.
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Affiliation(s)
- Marco Pisa
- Experimental Neurophysiology Unit, Institute of Experimental Neurology (INSPE), San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Tommaso Croese
- Clinical Neuroimmunology Unit, Institute of Experimental Neurology (INSPE), San Raffaele Scientific Institute, Milan, Italy
| | - Gloria Dalla Costa
- Experimental Neurophysiology Unit, Institute of Experimental Neurology (INSPE), San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Simone Guerrieri
- Experimental Neurophysiology Unit, Institute of Experimental Neurology (INSPE), San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Su-Chun Huang
- Experimental Neurophysiology Unit, Institute of Experimental Neurology (INSPE), San Raffaele Scientific Institute, Milan, Italy
| | - Annamaria Finardi
- Clinical Neuroimmunology Unit, Institute of Experimental Neurology (INSPE), San Raffaele Scientific Institute, Milan, Italy
| | - Lorena Fabbella
- Clinical Neuroimmunology Unit, Institute of Experimental Neurology (INSPE), San Raffaele Scientific Institute, Milan, Italy
| | - Francesca Sangalli
- Inflammatory CNS Disorders Unit, Institute of Experimental Neurology (INSPE), San Raffaele Scientific Institute, Milan, Italy
| | - Bruno Colombo
- Inflammatory CNS Disorders Unit, Institute of Experimental Neurology (INSPE), San Raffaele Scientific Institute, Milan, Italy
| | - Lucia Moiola
- Inflammatory CNS Disorders Unit, Institute of Experimental Neurology (INSPE), San Raffaele Scientific Institute, Milan, Italy
| | - Vittorio Martinelli
- Inflammatory CNS Disorders Unit, Institute of Experimental Neurology (INSPE), San Raffaele Scientific Institute, Milan, Italy
| | | | - Roberto Furlan
- Clinical Neuroimmunology Unit, Institute of Experimental Neurology (INSPE), San Raffaele Scientific Institute, Milan, Italy
| | - Letizia Leocani
- Experimental Neurophysiology Unit, Institute of Experimental Neurology (INSPE), San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
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Rovira À, Auger C. Beyond McDonald: updated perspectives on MRI diagnosis of multiple sclerosis. Expert Rev Neurother 2021; 21:895-911. [PMID: 34275399 DOI: 10.1080/14737175.2021.1957832] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Magnetic resonance imaging (MRI) is an essential paraclinical test to establish an accurate and early diagnosis of multiple sclerosis (MS), which is based on the application of the McDonald criteria. AREAS COVERED The objective of this article is to analyze, based on publicly available database since the publication of the 2017 McDonald diagnostic criteria, the clinical impact of these criteria, to discuss the potential inclusion within these criteria of the optic nerve to demonstrate dissemination in space, and to guide the acquisition and interpretation of MRI scans for diagnostic purposes. Finally, the authors will review emerging MRI features that could improve the specificity of MRI in the diagnosis of MS and consequently minimize the misdiagnosis of this disease. EXPERT OPINION Although the optic nerve has not been included as one of the topographies required to demonstrate demyelinating lesion disseminated in space in the 2017 McDonald criteria, new studies seem to show some improvement in the sensitivity of these criteria when this topography is considered. New radiological findings such as the central vein sign and iron rims, should be considered within the typical MRI features of this disease with the objective of minimizing MRI-based diagnostic errors.
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Affiliation(s)
- Àlex Rovira
- Section of Neuroradiology (Department of Radiology), Hospital Universitari Vall d'Hebron, Universitat Autònoma De Barcelona, Barcelona, Spain.,Vall d´Hebron Research Institute, Barcelona, Spain
| | - Cristina Auger
- Section of Neuroradiology (Department of Radiology), Hospital Universitari Vall d'Hebron, Universitat Autònoma De Barcelona, Barcelona, Spain.,Vall d´Hebron Research Institute, Barcelona, Spain
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Seitz CB, Steffen F, Muthuraman M, Uphaus T, Krämer J, Meuth SG, Albrecht P, Groppa S, Zipp F, Bittner S, Fleischer V. Serum neurofilament levels reflect outer retinal layer changes in multiple sclerosis. Ther Adv Neurol Disord 2021; 14:17562864211003478. [PMID: 34104217 PMCID: PMC8155762 DOI: 10.1177/17562864211003478] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 02/28/2021] [Indexed: 11/29/2022] Open
Abstract
Background: Serum neurofilament light chain (sNfL) and distinct intra-retinal layers are
both promising biomarkers of neuro-axonal injury in multiple sclerosis (MS).
We aimed to unravel the association of both markers in early MS, having
identified that neurofilament has a distinct immunohistochemical expression
pattern among intra-retinal layers. Methods: Three-dimensional (3D) spectral domain macular optical coherence tomography
scans and sNfL levels were investigated in 156 early MS patients
(female/male: 109/47, mean age: 33.3 ± 9.5 years, mean disease duration:
2.0 ± 3.3 years). Out of the whole cohort, 110 patients had no history of
optic neuritis (NHON) and 46 patients had a previous history of optic
neuritis (HON). In addition, a subgroup of patients
(n = 38) was studied longitudinally over 2 years. Support
vector machine analysis was applied to test a regression model for
significant changes. Results: In our cohort, HON patients had a thinner outer plexiform layer (OPL) volume
compared to NHON patients (B = −0.016, SE = 0.006,
p = 0.013). Higher sNfL levels were significantly
associated with thinner OPL volumes in HON patients
(B = −6.734, SE = 2.514, p = 0.011). This
finding was corroborated in the longitudinal subanalysis by the association
of higher sNfL levels with OPL atrophy (B = 5.974,
SE = 2.420, p = 0.019). sNfL levels were 75.7% accurate at
predicting OPL volume in the supervised machine learning. Conclusions: In summary, sNfL levels were a good predictor of future outer retinal
thinning in MS. Changes within the neurofilament-rich OPL could be
considered as an additional retinal marker linked to MS
neurodegeneration.
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Affiliation(s)
- Caspar B Seitz
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Falk Steffen
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Muthuraman Muthuraman
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Timo Uphaus
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Julia Krämer
- Department of Neurology with Institute of Translational Neurology, University of Münster, Albert-Schweizer-Campus, Münster, Germany
| | - Sven G Meuth
- Department of Neurology with Institute of Translational Neurology, University of Münster, Albert-Schweizer-Campus, Münster, Germany
| | - Philipp Albrecht
- Department of Neurology, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Vinzenz Fleischer
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, Mainz 55131, Germany
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Montolío A, Martín-Gallego A, Cegoñino J, Orduna E, Vilades E, Garcia-Martin E, Palomar APD. Machine learning in diagnosis and disability prediction of multiple sclerosis using optical coherence tomography. Comput Biol Med 2021; 133:104416. [PMID: 33946022 DOI: 10.1016/j.compbiomed.2021.104416] [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: 12/27/2020] [Revised: 03/25/2021] [Accepted: 04/16/2021] [Indexed: 01/02/2023]
Abstract
BACKGROUND Multiple sclerosis (MS) is a neurodegenerative disease that affects the central nervous system, especially the brain, spinal cord, and optic nerve. Diagnosis of this disease is a very complex process and generally requires a lot of time. In addition, treatments are applied without any information on the disability course in each MS patient. For these two reasons, the objective of this study was to improve the MS diagnosis and predict the long-term course of disability in MS patients based on clinical data and retinal nerve fiber layer (RNFL) thickness, measured by optical coherence tomography (OCT). MATERIAL AND METHODS A total of 104 healthy controls and 108 MS patients, 82 of whom had a 10-year follow-up, were enrolled. Classification algorithms such as multiple linear regression (MLR), support vector machines (SVM), decision tree (DT), k-nearest neighbours (k-NN), Naïve Bayes (NB), ensemble classifier (EC) and long short-term memory (LSTM) recurrent neural network were tested to develop two predictive models: MS diagnosis model and MS disability course prediction model. RESULTS For MS diagnosis, the best result was obtained using EC (accuracy: 87.7%; sensitivity: 87.0%; specificity: 88.5%; precision: 88.7%; AUC: 0.8775). In line with this good performance, the accuracy was 85.4% using k-NN and 84.4% using SVM. And, for long-term prediction of MS disability course, LSTM recurrent neural network was the most appropriate classifier (accuracy: 81.7%; sensitivity: 81.1%; specificity: 82.2%; precision: 78.9%; AUC: 0.8165). The use of MLR, SVM and k-NN also showed a good performance (AUC ≥ 0.8). CONCLUSIONS This study demonstrated that machine learning techniques, using clinical and OCT data, can help establish an early diagnosis and predict the course of MS. This advance could help clinicians select more specific treatments for each MS patient. Therefore, our findings underscore the potential of RNFL thickness as a reliable MS biomarker.
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Affiliation(s)
- Alberto Montolío
- Group of Biomaterials, Aragon Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain; Department of Mechanical Engineering, University of Zaragoza, Zaragoza, Spain
| | - Alejandro Martín-Gallego
- Group of Biomaterials, Aragon Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain; Department of Mechanical Engineering, University of Zaragoza, Zaragoza, Spain
| | - José Cegoñino
- Group of Biomaterials, Aragon Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain; Department of Mechanical Engineering, University of Zaragoza, Zaragoza, Spain
| | - Elvira Orduna
- Ophthalmology Department, Miguel Servet University Hospital, Zaragoza, Spain; GIMSO Research and Innovative Group, Aragon Institute for Health Research (IIS Aragon), Zaragoza, Spain
| | - Elisa Vilades
- Ophthalmology Department, Miguel Servet University Hospital, Zaragoza, Spain; GIMSO Research and Innovative Group, Aragon Institute for Health Research (IIS Aragon), Zaragoza, Spain
| | - Elena Garcia-Martin
- Ophthalmology Department, Miguel Servet University Hospital, Zaragoza, Spain; GIMSO Research and Innovative Group, Aragon Institute for Health Research (IIS Aragon), Zaragoza, Spain
| | - Amaya Pérez Del Palomar
- Group of Biomaterials, Aragon Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain; Department of Mechanical Engineering, University of Zaragoza, Zaragoza, Spain.
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20
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Petzold A, Chua SYL, Khawaja AP, Keane PA, Khaw PT, Reisman C, Dhillon B, Strouthidis NG, Foster PJ, Patel PJ. Retinal asymmetry in multiple sclerosis. Brain 2021; 144:224-235. [PMID: 33253371 PMCID: PMC7880665 DOI: 10.1093/brain/awaa361] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 07/15/2020] [Accepted: 08/11/2020] [Indexed: 12/21/2022] Open
Abstract
The diagnosis of multiple sclerosis is based on a combination of clinical and paraclinical tests. The potential contribution of retinal optical coherence tomography (OCT) has been recognized. We tested the feasibility of OCT measures of retinal asymmetry as a diagnostic test for multiple sclerosis at the community level. In this community-based study of 72 120 subjects, we examined the diagnostic potential of the inter-eye difference of inner retinal OCT data for multiple sclerosis using the UK Biobank data collected at 22 sites between 2007 and 2010. OCT reporting and quality control guidelines were followed. The inter-eye percentage difference (IEPD) and inter-eye absolute difference (IEAD) were calculated for the macular retinal nerve fibre layer (RNFL), ganglion cell inner plexiform layer (GCIPL) complex and ganglion cell complex. Area under the receiver operating characteristic curve (AUROC) comparisons were followed by univariate and multivariable comparisons accounting for a large range of diseases and co-morbidities. Cut-off levels were optimized by ROC and the Youden index. The prevalence of multiple sclerosis was 0.0023 [95% confidence interval (CI) 0.00229–0.00231]. Overall the discriminatory power of diagnosing multiple sclerosis with the IEPD AUROC curve (0.71, 95% CI 0.67–0.76) and IEAD (0.71, 95% CI 0.67–0.75) for the macular GCIPL complex were significantly higher if compared to the macular ganglion cell complex IEPD AUROC curve (0.64, 95% CI 0.59–0.69, P = 0.0017); IEAD AUROC curve (0.63, 95% CI 0.58–0.68, P < 0.0001) and macular RNFL IEPD AUROC curve (0.59, 95% CI 0.54–0.63, P < 0.0001); IEAD AUROC curve (0.55, 95% CI 0.50–0.59, P < 0.0001). Screening sensitivity levels for the macular GCIPL complex IEPD (4% cut-off) were 51.7% and for the IEAD (4 μm cut-off) 43.5%. Specificity levels were 82.8% and 86.8%, respectively. The number of co-morbidities was important. There was a stepwise decrease of the AUROC curve from 0.72 in control subjects to 0.66 in more than nine co-morbidities or presence of neuromyelitis optica spectrum disease. In the multivariable analyses greater age, diabetes mellitus, other eye disease and a non-white ethnic background were relevant confounders. For most interactions, the effect sizes were large (partial ω2 > 0.14) with narrow confidence intervals. In conclusion, the OCT macular GCIPL complex IEPD and IEAD may be considered as supportive measurements for multiple sclerosis diagnostic criteria in a young patient without relevant co-morbidity. The metric does not allow separation of multiple sclerosis from neuromyelitis optica. Retinal OCT imaging is accurate, rapid, non-invasive, widely available and may therefore help to reduce need for invasive and more costly procedures. To be viable, higher sensitivity and specificity levels are needed.
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Affiliation(s)
- Axel Petzold
- Moorfields Eye Hospital and The National Hospital for Neurology and Neurosurgery, London, UK.,UCL Queen Square Institute of Neurology, London, UK.,Dutch Expertise Centre for Neuro-ophthalmology and MS Centre, Departments of Neurology and Ophthalmology, Amsterdam UMC, Amsterdam, The Netherlands
| | - Sharon Y L Chua
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Anthony P Khawaja
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Pearse A Keane
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Peng T Khaw
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Charles Reisman
- Topcon Healthcare Solutions Research and Development, Oakland, New Jersey, USA
| | - Baljean Dhillon
- Centre for Clinical Brain Sciences, School of Clinical Sciences, NHS Lothian, Edinburgh, UK
| | - Nicholas G Strouthidis
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Paul J Foster
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
| | - Praveen J Patel
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK
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21
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Dynamics of Central Remyelination and Treatment Evolution in a Model of Multiple Sclerosis with Optic Coherence Tomography. Int J Mol Sci 2021; 22:ijms22052440. [PMID: 33671012 PMCID: PMC7957639 DOI: 10.3390/ijms22052440] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 02/15/2021] [Accepted: 02/24/2021] [Indexed: 01/03/2023] Open
Abstract
The need for remyelinating drugs is essential for healing disabling diseases such as multiple sclerosis (MS). One of the reasons for the lack of this class of therapies is the impossibility to monitor remyelination in vivo, which is of utmost importance to perform effective clinical trials. Here, we show how optical coherence tomography (OCT), a cheap and non-invasive technique commonly used in ophthalmology, may be used to assess remyelination in vivo in MS patients. Our pioneer approach validates OCT as a technique to study remyelination of the optic nerve and reflects what is occurring in non-accessible central nervous system (CNS) structures, like the spinal cord. In this study we used the orally bioavailable small molecule VP3.15, confirming its therapeutical potential as a neuroprotective, anti-inflammatory, and probably remyelinating drug for MS. Altogether, our results confirm the usefulness of OCT to monitor the efficacy of remyelinating therapies in vivo and underscore the relevance of VP3.15 as a potential disease modifying drug for MS therapy.
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22
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De Meo E, Bonacchi R, Moiola L, Colombo B, Sangalli F, Zanetta C, Amato MP, Martinelli V, Rocca MA, Filippi M. Early Predictors of 9-Year Disability in Pediatric Multiple Sclerosis. Ann Neurol 2021; 89:1011-1022. [PMID: 33598931 DOI: 10.1002/ana.26052] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 02/10/2021] [Accepted: 02/14/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The purpose of this study was to assess early predictors of 9-year disability in pediatric patients with multiple sclerosis. METHODS Clinical and magnetic resonance imaging (MRI) assessments of 123 pediatric patients with multiple sclerosis were obtained at disease onset and after 1 and 2 years. A 9-year clinical follow-up was also performed. Cox proportional hazard and multivariable regression models were used to assess independent predictors of time to first relapse and 9-year outcomes. RESULTS Time to first relapse was predicted by optic nerve lesions (hazard ratio [HR] = 2.10, p = 0.02) and high-efficacy treatment exposure (HR = 0.31, p = 0.005). Predictors of annualized relapse rate were: at baseline, presence of cerebellar (β = -0.15, p < 0.001), cervical cord lesions (β = 0.16, p = 0.003), and high-efficacy treatment exposure (β = -0.14, p = 0.01); considering also 1-year variables, number of relapses (β = 0.14, p = 0.002), and the previous baseline predictors; considering 2-year variables, time to first relapse (2-year: β = -0.12, p = 0.01) entered, whereas high-efficacy treatment exposure exited the model. Predictors of 9-year disability worsening were: at baseline, presence of optic nerve lesions (odds ratio [OR] = 6.45, p = 0.01); considering 1-year and 2-year variables, Expanded Disability Status Scale (EDSS) changes (1-year: OR = 26.05, p < 0.001; 2-year: OR = 16.38, p = 0.02), and ≥ 2 new T2-lesions in 2 years (2-year: OR = 4.91, p = 0.02). Predictors of higher 9-year EDSS score were: at baseline, EDSS score (β = 0.58, p < 0.001), presence of brainstem lesions (β = 0.31, p = 0.04), and number of cervical cord lesions (β = 0.22, p = 0.05); considering 1-year and 2-year variables, EDSS changes (1-year: β = 0.79, p < 0.001; 2-year: β = 0.55, p < 0.001), and ≥ 2 new T2-lesions (1-year: β = 0.28, p = 0.03; 2-year: β = 0.35, p = 0.01). INTERPRETATION A complete baseline MRI assessment and an accurate clinical and MRI monitoring during the first 2 years of disease contribute to predict 9-year prognosis in pediatric patients with multiple sclerosis. ANN NEUROL 2021;89:1011-1022.
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Affiliation(s)
- Ermelinda De Meo
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Raffaello Bonacchi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Lucia Moiola
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Bruno Colombo
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Chiara Zanetta
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria Pia Amato
- Department NEUROFARBA, Section of Neurosciences, University of Florence, Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | | | - Maria Assunta Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
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23
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Vidal-Jordana A, Rovira A, Arrambide G, Otero-Romero S, Río J, Comabella M, Nos C, Castilló J, Galan I, Cabello S, Moncho D, Rahnama K, Thonon V, Rodríguez-Acevedo B, Zabalza A, Midaglia L, Auger C, Sastre-Garriga J, Montalban X, Tintoré M. Optic Nerve Topography in Multiple Sclerosis Diagnosis: The Utility of Visual Evoked Potentials. Neurology 2020; 96:e482-e490. [PMID: 33328323 PMCID: PMC7905792 DOI: 10.1212/wnl.0000000000011339] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Accepted: 09/01/2020] [Indexed: 11/27/2022] Open
Abstract
Objective To assess the added value of the optic nerve region (by using visual evoked potentials [VEPs]) to the current diagnostic criteria. Methods From the Barcelona clinically isolated syndrome (CIS) cohort, patients with complete information to assess dissemination in space (DIS), the optic nerve region, and dissemination in time at baseline (n = 388) were selected. Modified DIS (modDIS) criteria were constructed by adding the optic nerve to the current DIS regions. The DIS and modDIS criteria were evaluated with univariable Cox proportional hazard regression analyses with the time to the second attack as the outcome. A subset of these patients who had at least 10 years of follow-up or a second attack occurring within 10 years (n = 151) were selected to assess the diagnostic performance. The analyses were also performed according to CIS topography (optic neuritis vs non–optic neuritis). Results The addition of the optic nerve as a fifth region improved the diagnostic performance by slightly increasing the accuracy (2017 DIS 75.5%, modDIS 78.1%) and the sensitivity (2017 DIS 79.2%, modDIS 82.3%) without lowering the specificity (2017 DIS 52.4%, modDIS 52.4%). When the analysis was conducted according to CIS topography, the modDIS criteria performed similarly in both optic neuritis and non–optic neuritis CIS. Conclusion The addition of the optic nerve, assessed by VEP, as a fifth region in the current DIS criteria slightly improves the diagnostic performance because it increases sensitivity without losing specificity.
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Affiliation(s)
- Angela Vidal-Jordana
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada.
| | - Alex Rovira
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Georgina Arrambide
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Susana Otero-Romero
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Jordi Río
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Manuel Comabella
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Carlos Nos
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Joaquin Castilló
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Ingrid Galan
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Sergio Cabello
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Dulce Moncho
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Kimia Rahnama
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Vanessa Thonon
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Breogan Rodríguez-Acevedo
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Ana Zabalza
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Luciana Midaglia
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Cristina Auger
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Jaume Sastre-Garriga
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Xavier Montalban
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
| | - Mar Tintoré
- From the Servicio de Neurología-Neuroinmunología (A V.-J., G.A., S.O.-R., J.R., M.C., C.N., J.C., I.G., S.C., B.R.-A., A.Z., L.M., J.S.-G., X.M., M.T.), Centro de Esclerosis Múltiple de Catalunya (Cemcat), Sección de Neuroradiologia (A.R., C.A.), Servei de Radiologia, Servicio de Medicina Preventiva y Epidemiologia (S.O.-R.), and Servicio de Neurofisiología Clínica (D.M., K.R., V.T.), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Spain; and Division of Neurology (X.M.), St. Michael's Hospital. University of Toronto, Ontario, Canada
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Mejia-Vergara AJ, Karanjia R, Sadun AA. OCT parameters of the optic nerve head and the retina as surrogate markers of brain volume in a normal population, a pilot study. J Neurol Sci 2020; 420:117213. [PMID: 33271374 DOI: 10.1016/j.jns.2020.117213] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 10/12/2020] [Accepted: 10/29/2020] [Indexed: 12/26/2022]
Abstract
The relationship between optical coherence tomography (OCT) measurements of the retinal structures has been described for various neurological diseases including Multiple Sclerosis (MS), Alzheimer's disease (AD) and Parkinson's disease (PD). Brain volume changes, both globally and by area, are associated with some of these same diseases, yet the correlation of OCT and disease is not fully elucidated. Our study looked at normal subjects, at the correlation of OCT measurements and brain volumes, both globally and for specific regions including the pericalcarine grey matter, entorhinal grey matter, and cerebellar volume using a retrospective, cross-sectional cohort study design. Thickness of the retinal nerve fiber layer (RNFL) as measured by OCT, correlated with volume of the pericalcarine grey matter, when adjusted for age and gender. Similarly, thickness of the ganglion cell layer-inner plexiform layer complex may be associated with both entorhinal grey matter volumes and total cerebellar volumes, although our pilot study did not reach statistical significance. This suggests that both eye and brain volumes follow a similar trajectory and understanding the inter-relationship of these structures will aid in the analysis of changes seen in disease. Further studies are needed to longitudinally demonstrate these relationships.
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Affiliation(s)
- Alvaro J Mejia-Vergara
- Doheny Eye Centers, Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America; Doheny Eye Institute, Los Angeles, California, United States of America; Department of Neuro-ophthalmology, Oftlamo-Sanitas Eye Institute, School of Medicine, Fundación Universitaria Sanitas, Bogotá, Colombia.
| | - Rustum Karanjia
- Doheny Eye Centers, Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America; Doheny Eye Institute, Los Angeles, California, United States of America; Department of Ophthalmology, University of Ottawa, Ottawa, Ontario, Canada; Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Alfredo A Sadun
- Doheny Eye Centers, Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America; Doheny Eye Institute, Los Angeles, California, United States of America
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Outteryck O, Lopes R, Drumez É, Labreuche J, Lannoy J, Hadhoum N, Boucher J, Vermersch P, Zedet M, Pruvo JP, Zéphir H, Leclerc X. Optical coherence tomography for detection of asymptomatic optic nerve lesions in clinically isolated syndrome. Neurology 2020; 95:e733-e744. [DOI: 10.1212/wnl.0000000000009832] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 02/06/2020] [Indexed: 12/24/2022] Open
Abstract
ObjectiveTo evaluate the ability of intereye retinal thickness difference (IETD) measured by optical coherence tomography (OCT) to detect asymptomatic optic nerve involvement in clinically isolated syndrome (CIS).MethodsWe conducted a cross-sectional study of patients who recently presented a CIS (≤4.5 months). All patients underwent OCT and brain/optic nerve MRI. Optic nerve involvement was defined clinically (episode of optic neuritis [ON] or not) and radiologically (optic nerve hypersignal on 3D double inversion recovery [3D-DIR]). We evaluated the sensitivity and specificity of previously published IETD thresholds and report the observed optimal thresholds for identifying symptomatic optic nerve involvement but also for identifying asymptomatic optic nerve involvement (optic nerve hypersignal without ON history). Primary outcomes were ganglion cell–inner plexiform layer (GC-IPL) and peripapillary retinal nerve fiber layer IETD.ResultsThe study group consisted of 130 patients. In the CIS with ON group, 3D-DIR showed a hypersignal in all 41 symptomatic optic nerves and in 11 asymptomatic optic nerves. In the CIS without ON group, 3D-DIR showed a unilateral optic nerve hypersignal in 22 patients and a bilateral optic nerve hypersignal in 7 patients. For the detection of symptomatic and asymptomatic optic nerve lesion, GC-IPL IETD had better performance. We found an optimal GC-IPL IETD threshold ≥2.83 µm (sensitivity 88.2, specificity 83.3%) for the detection of symptomatic lesions and an optimal GC-IPL IETD ≥1.42 µm (sensitivity 89.3%, specificity 72.6%) for the detection of asymptomatic lesions.ConclusionsDetection of asymptomatic optic nerve lesions in CIS requires lower IETD thresholds than previously reported. GC-IPL IETD represents an alternative biomarker to MRI for the detection of asymptomatic optic nerve lesions.Classification of evidenceThis study provides Class I evidence that OCT accurately identifies asymptomatic optic nerve involvement in patients with CIS.
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Vidal‐Jordana A, Pareto D, Cabello S, Alberich M, Rio J, Tintore M, Auger C, Montalban X, Rovira A, Sastre‐Garriga J. Optical coherence tomography measures correlate with brain and spinal cord atrophy and multiple sclerosis disease‐related disability. Eur J Neurol 2020; 27:2225-2232. [DOI: 10.1111/ene.14421] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 06/18/2020] [Indexed: 12/28/2022]
Affiliation(s)
- A. Vidal‐Jordana
- Servicio de Neurologia‐Neuroinmunologia Centro de Esclerosis Múltiple de Cataluña (Cemcat) Hospital Universitario Vall d'Hebron Barcelona
| | - D. Pareto
- Servicio de Radiologia Hospital Universitario Vall d'Hebron Unidad de Resonancia Magnética Barcelona Spain
| | - S. Cabello
- Servicio de Neurologia‐Neuroinmunologia Centro de Esclerosis Múltiple de Cataluña (Cemcat) Hospital Universitario Vall d'Hebron Barcelona
| | - M. Alberich
- Servicio de Radiologia Hospital Universitario Vall d'Hebron Unidad de Resonancia Magnética Barcelona Spain
| | - J. Rio
- Servicio de Neurologia‐Neuroinmunologia Centro de Esclerosis Múltiple de Cataluña (Cemcat) Hospital Universitario Vall d'Hebron Barcelona
| | - M. Tintore
- Servicio de Neurologia‐Neuroinmunologia Centro de Esclerosis Múltiple de Cataluña (Cemcat) Hospital Universitario Vall d'Hebron Barcelona
| | - C. Auger
- Servicio de Radiologia Hospital Universitario Vall d'Hebron Unidad de Resonancia Magnética Barcelona Spain
| | - X. Montalban
- Servicio de Neurologia‐Neuroinmunologia Centro de Esclerosis Múltiple de Cataluña (Cemcat) Hospital Universitario Vall d'Hebron Barcelona
- Division of Neurology University of TorontoSt Michael´s Hospital Toronto ON Canada
| | - A. Rovira
- Servicio de Radiologia Hospital Universitario Vall d'Hebron Unidad de Resonancia Magnética Barcelona Spain
| | - J. Sastre‐Garriga
- Servicio de Neurologia‐Neuroinmunologia Centro de Esclerosis Múltiple de Cataluña (Cemcat) Hospital Universitario Vall d'Hebron Barcelona
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Wang Y, Kwapong WR, Tu Y, Xia Y, Tang J, Miao H, Liu X, Lu Y, Yan Z. Altered resting-state functional connectivity density in patients with neuromyelitis optica-spectrum disorders. Mult Scler Relat Disord 2020; 43:102187. [PMID: 32480345 DOI: 10.1016/j.msard.2020.102187] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 05/04/2020] [Accepted: 05/05/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND Neuromyelitis optica spectrum disorder (NMOSD) is an autoimmune, demyelinating disorder, accompanied by abnormal spontaneous activity of the brain and impairment of the retina and optic nerve. Functional connectivity density (FCD) map, a graph theory method, was applied to explore the functional connectivity alterations of brian in NMOSD patients and investigate the alterations of FCD to the structural and microvascular changes around the optic nerve head (ONH). METHODS Nineteen NMOSD patients and 22 healthy controls (HCs) were included in our study. All participants underwent resting-state functional magnetic resonance imaging (fMRI) scans of the brain, and ophthalmological examinations included optical coherence tomographic angiography (OCT-A) imaging, visual acuity (VA), and intraocular pressure (IOP). The long- and short-range FCD was calculated by the fMRI graph theory method and two-sample t-tests were performed to compare the discrepancy of FCD between NMOSD and HCs. OCT-A imaging was used to obtain the structure (peripapillary retinal nerve fiber layer, pRNFL) and microvessels (radial peripapillary capillary, RPC) details around the ONH. The association between the long- and short-range FCD values with the structural and microvascular variation around the ONH were evaluated using Spearman's correlation. RESULTS Significantly decreased (corrected p < 0.05) long-range FCD was seen in the right superior parietal gyrus (SPG) in patients with NMOSD when compared to HCs. Increased long-range FCD was seen in the right fusiform gyrus (FFG), left orbital part of superior frontal orbital gyrus (ORBsup) and left anterior cingulum and paracingulate gyri (ACG) in NMOSD patients (corrected p < 0.05). The regions with reduced short-range FCD in NMOSD were the left angular gyrus (ANG) and right SPG (corrected p < 0.05). Increased short-range FCD was shown (corrected p < 0.05) in the right FFG of NMOSD. The pRNFL thickness and RPC density in all participants were negatively correlated with the long-range FCD values in the right FFG, left ORBsup, and left ACG as well as short-range FCD values in the right FFG, besides, both were positively correlated with the long-range FCD values in the right SPG and short-range FCD values in the left ANG and right SPG (p < 0.05). CONCLUSION Our study demonstrates that patients with NMOSD have widespread brain dysfunction after optic neuritis attacks which shows as impairment of widespread spatial distribution in long- and short-range FCD. Structural and microvascular changes around the ONH are associated with neural changes in the brain.
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Affiliation(s)
- Yu Wang
- Department of Radiology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
| | | | - Yunhai Tu
- The Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
| | - Yikai Xia
- Department of Radiology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
| | - Jing Tang
- Department of Radiology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
| | - Hanpei Miao
- The Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
| | - Xiaozheng Liu
- Department of Radiology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China; China-USA Neuroimaging Research Institute, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China
| | - Yi Lu
- Department of Radiology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China.
| | - Zhihan Yan
- Department of Radiology, the Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 325027, China.
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Ngamsombat C, Tian Q, Fan Q, Russo A, Machado N, Polackal M, George IC, Witzel T, Klawiter EC, Huang SY. Axonal damage in the optic radiation assessed by white matter tract integrity metrics is associated with retinal thinning in multiple sclerosis. NEUROIMAGE-CLINICAL 2020; 27:102293. [PMID: 32563921 PMCID: PMC7305426 DOI: 10.1016/j.nicl.2020.102293] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 04/23/2020] [Accepted: 05/17/2020] [Indexed: 02/07/2023]
Abstract
INTRODUCTION White matter damage in the visual pathway is common in multiple sclerosis (MS) and is associated with retinal thinning, although the underlying mechanism of association remains unclear. The goal of this work was to evaluate the presence and extent of white matter tract integrity (WMTI) alterations in the optic radiation (OR) in people with MS and to investigate the association between WMTI metrics and retinal thinning in the eyes of MS patients without a history of optic neuritis (ON) as measured by optical coherence tomography (OCT). We hypothesized that WMTI metrics would reflect axonal damage that occurs in the OR in MS, and that axonal alterations revealed by WMTI would be associated with retinal thinning. METHODS Twenty-nine MS patients without previous ON in at least one eye and twenty-nine age-matched healthy controls (HC) were scanned on a dedicated high-gradient 3-Tesla MRI scanner with 300 mT/m maximum gradient strength using a multi-shell diffusion MRI protocol (b = 800, 1500, 2400 s/mm2). The patients were divided into two subgroups according to history without ON (N = 18) or with ON in one eye (N = 11). Diffusion tensor imaging (DTI) metrics and WMTI metrics derived from diffusion kurtosis imaging were assessed in normal-appearing white matter (NAWM) of the OR and in focal lesions. Retinal thickness in the eyes of MS patients was measured by OCT. Student's t-test was used to assess group differences between MRI metrics. Linear regression was used to study the relationship between OCT metrics, including retinal nerve fiber layer (RNFL) and combined ganglion cell and inner plexiform layer thickness (GCL/IPL), visual acuity measures and DTI and WMTI metrics. RESULTS OR NAWM in MS showed significantly decreased axonal water fraction (AWF) compared to HC (0.36 vs 0.39, p < 0.001), with similar trends observed in AWF of lesions compared to NAWM (0.27 vs 0.36, p < 0.001). Fractional anisotropy (FA) was lower in OR NAWM of MS patients compared to HC (0.49 vs 0.52, p < 0.001). In patients without ON, AWF was the only diffusion MRI metric that was significantly associated with average RNFL (r = 0.68, p = 0.005), adjusting for age, sex and disease duration and correcting for multiple comparisons. Of all the DTI and WMTI metrics, AWF was the strongest and most significant predictor of average RNFL thickness in MS patients without ON. There was no significant correlation between visual acuity scores and DTI or WMTI metrics after correction for multiple comparisons. CONCLUSION Axonal damage may be the substrate of previously observed DTI alterations in the OR, as supported by the significant reduction in AWF within both NAWM and lesions of the OR in MS. Our results support the concept that axonal damage is widespread throughout the visual pathway in MS and may be mediated through trans-synaptic degeneration.
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Affiliation(s)
- Chanon Ngamsombat
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Thailand
| | - Qiyuan Tian
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Qiuyun Fan
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Andrew Russo
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Natalya Machado
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Maya Polackal
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ilena C George
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Thomas Witzel
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Eric C Klawiter
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Susie Y Huang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA.
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Davion JB, Lopes R, Drumez É, Labreuche J, Hadhoum N, Lannoy J, Vermersch P, Pruvo JP, Leclerc X, Zéphir H, Outteryck O. Asymptomatic optic nerve lesions: An underestimated cause of silent retinal atrophy in MS. Neurology 2020; 94:e2468-e2478. [PMID: 32434868 DOI: 10.1212/wnl.0000000000009504] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 01/14/2020] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVE To evaluate the frequency of asymptomatic optic nerve lesions and their role in the asymptomatic retinal neuroaxonal loss observed in multiple sclerosis (MS). METHODS We included patients with remitting-relapsing MS in the VWIMS study (Analysis of Neurodegenerative Process Within Visual Ways In Multiple Sclerosis) (ClinicalTrials.gov Identifier: 03656055). Included patients underwent optical coherence tomography (OCT), optic nerve and brain MRI, and low-contrast visual acuity measurement. In eyes of patients with MS without optic neuritis (MS-NON), an optic nerve lesion on MRI (3D double inversion recovery [DIR] sequence) was considered as an asymptomatic lesion. We considered the following OCT/MRI measures: peripapillary retinal nerve fiber layer thickness, macular ganglion cell + inner plexiform layer (mGCIPL) volumes, optic nerve lesion length, T2 lesion burden, and fractional anisotropy within optic radiations. RESULTS An optic nerve lesion was detected in half of MS-NON eyes. Compared to optic nerves without any lesion and independently of the optic radiation lesions, the asymptomatic lesions were associated with thinner inner retinal layers (p < 0.0001) and a lower contrast visual acuity (p ≤ 0.003). Within eyes with asymptomatic optic nerve lesions, optic nerve lesion length was the only MRI measure significantly associated with retinal neuroaxonal loss (p < 0.03). Intereye mGCIPL thickness difference (IETD) was lower in patients with bilateral optic nerve DIR hypersignal compared to patients with unilateral hypersignal (p = 0.0317). For the diagnosis of history of optic neuritis, sensitivity of 3D DIR and of mGCIPL IETD were 84.9% and 63.5%, respectively. CONCLUSIONS Asymptomatic optic nerve lesions are an underestimated and preponderant cause of retinal neuroaxonal loss in MS. 3D DIR sequence may be more sensitive than IETD measured by OCT for the detection of optic nerve lesions.
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Affiliation(s)
- Jean-Baptiste Davion
- From the Department of Neuroradiology, INSERM, U1171-Degenerative and Vascular Cognitive Disorders (J.-B.D., R.L., J.-P.P., X.L., O.O.), Department of Biostatistics, EA 2694-Santé Publique: Épidémiologie et Qualité des Soins (É.D., J.L.), and Department of Neurology, INSERM, U995-Lille Inflammation Research International Center (N.H., J.L., P.V., H.Z.), CHU Lille, Université de Lille, France
| | - Renaud Lopes
- From the Department of Neuroradiology, INSERM, U1171-Degenerative and Vascular Cognitive Disorders (J.-B.D., R.L., J.-P.P., X.L., O.O.), Department of Biostatistics, EA 2694-Santé Publique: Épidémiologie et Qualité des Soins (É.D., J.L.), and Department of Neurology, INSERM, U995-Lille Inflammation Research International Center (N.H., J.L., P.V., H.Z.), CHU Lille, Université de Lille, France
| | - Élodie Drumez
- From the Department of Neuroradiology, INSERM, U1171-Degenerative and Vascular Cognitive Disorders (J.-B.D., R.L., J.-P.P., X.L., O.O.), Department of Biostatistics, EA 2694-Santé Publique: Épidémiologie et Qualité des Soins (É.D., J.L.), and Department of Neurology, INSERM, U995-Lille Inflammation Research International Center (N.H., J.L., P.V., H.Z.), CHU Lille, Université de Lille, France
| | - Julien Labreuche
- From the Department of Neuroradiology, INSERM, U1171-Degenerative and Vascular Cognitive Disorders (J.-B.D., R.L., J.-P.P., X.L., O.O.), Department of Biostatistics, EA 2694-Santé Publique: Épidémiologie et Qualité des Soins (É.D., J.L.), and Department of Neurology, INSERM, U995-Lille Inflammation Research International Center (N.H., J.L., P.V., H.Z.), CHU Lille, Université de Lille, France
| | - Nawal Hadhoum
- From the Department of Neuroradiology, INSERM, U1171-Degenerative and Vascular Cognitive Disorders (J.-B.D., R.L., J.-P.P., X.L., O.O.), Department of Biostatistics, EA 2694-Santé Publique: Épidémiologie et Qualité des Soins (É.D., J.L.), and Department of Neurology, INSERM, U995-Lille Inflammation Research International Center (N.H., J.L., P.V., H.Z.), CHU Lille, Université de Lille, France
| | - Julien Lannoy
- From the Department of Neuroradiology, INSERM, U1171-Degenerative and Vascular Cognitive Disorders (J.-B.D., R.L., J.-P.P., X.L., O.O.), Department of Biostatistics, EA 2694-Santé Publique: Épidémiologie et Qualité des Soins (É.D., J.L.), and Department of Neurology, INSERM, U995-Lille Inflammation Research International Center (N.H., J.L., P.V., H.Z.), CHU Lille, Université de Lille, France
| | - Patrick Vermersch
- From the Department of Neuroradiology, INSERM, U1171-Degenerative and Vascular Cognitive Disorders (J.-B.D., R.L., J.-P.P., X.L., O.O.), Department of Biostatistics, EA 2694-Santé Publique: Épidémiologie et Qualité des Soins (É.D., J.L.), and Department of Neurology, INSERM, U995-Lille Inflammation Research International Center (N.H., J.L., P.V., H.Z.), CHU Lille, Université de Lille, France
| | - Jean-Pierre Pruvo
- From the Department of Neuroradiology, INSERM, U1171-Degenerative and Vascular Cognitive Disorders (J.-B.D., R.L., J.-P.P., X.L., O.O.), Department of Biostatistics, EA 2694-Santé Publique: Épidémiologie et Qualité des Soins (É.D., J.L.), and Department of Neurology, INSERM, U995-Lille Inflammation Research International Center (N.H., J.L., P.V., H.Z.), CHU Lille, Université de Lille, France
| | - Xavier Leclerc
- From the Department of Neuroradiology, INSERM, U1171-Degenerative and Vascular Cognitive Disorders (J.-B.D., R.L., J.-P.P., X.L., O.O.), Department of Biostatistics, EA 2694-Santé Publique: Épidémiologie et Qualité des Soins (É.D., J.L.), and Department of Neurology, INSERM, U995-Lille Inflammation Research International Center (N.H., J.L., P.V., H.Z.), CHU Lille, Université de Lille, France
| | - Hélène Zéphir
- From the Department of Neuroradiology, INSERM, U1171-Degenerative and Vascular Cognitive Disorders (J.-B.D., R.L., J.-P.P., X.L., O.O.), Department of Biostatistics, EA 2694-Santé Publique: Épidémiologie et Qualité des Soins (É.D., J.L.), and Department of Neurology, INSERM, U995-Lille Inflammation Research International Center (N.H., J.L., P.V., H.Z.), CHU Lille, Université de Lille, France
| | - Olivier Outteryck
- From the Department of Neuroradiology, INSERM, U1171-Degenerative and Vascular Cognitive Disorders (J.-B.D., R.L., J.-P.P., X.L., O.O.), Department of Biostatistics, EA 2694-Santé Publique: Épidémiologie et Qualité des Soins (É.D., J.L.), and Department of Neurology, INSERM, U995-Lille Inflammation Research International Center (N.H., J.L., P.V., H.Z.), CHU Lille, Université de Lille, France.
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Retinal axonal degeneration in Niemann-Pick type C disease. J Neurol 2020; 267:2070-2082. [PMID: 32222928 PMCID: PMC7320959 DOI: 10.1007/s00415-020-09796-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 03/13/2020] [Accepted: 03/14/2020] [Indexed: 11/21/2022]
Abstract
Objective Niemann–Pick disease type C1 (NPC1) is a rare autosomal-recessive lysosomal storage disorder presenting with a broad clinical spectrum ranging from a severe infantile-onset neurovisceral disorder to late-onset neurodegenerative disease. Optical coherence tomography (OCT) is established to detect retinal degeneration in vivo. We examined NPC1-patients (NPC1-P), clinically asymptomatic NPC1-mutation carriers (NPC1-MC), and healthy controls (HC) to (1) identify retinal degeneration in NPC1-disease and (2) to investigate possible subclinical retinal degeneration in NPC1-MC. Methods Fourteen NPC1-P, 17 NPC1-MC, and 31 age-matched HC were examined using spectral-domain OCT. Neurological examinations, clinical scales [modified Disability Rating Scale (mDRS); Scale for the Rating and Assessment of Ataxia (SARA); Spinocerebellar Ataxia Functional Index (SCAFI)], and video-oculography (VOG) were correlated with OCT data. Results Macular retinal nerve fiber layer and volumes of combined ganglion cell and inner plexiform layer were significantly lower in NPC1-P compared to HC [mRNFL (µm):0.13 ± 0.01 vs. 0.14 ± 0.02; p = 0.01; GCIPL (mm3):0.60 ± 0.05 vs. 0.62 ± 0.04; p = 0.04]. No significant differences were found in NPC1-MC in comparison to HC. In NPC1-P, the amplitude of upward vertical saccades showed positive associations with peripapillary RNFL (ρ = 0.645; p < 0.05), and thinned GCIP (ρ = 0.609; p < 0.05), but not in NPC1-MC. In NPC1-P correlations between combined outer plexiform layer and outer nuclear layer (OPONL) with mDRS (r = − 0.617; p < 0.05) and GCIP with SARA (r = − 0.622; p < 0.05) were observed. Furthermore, in NPC1-MC, motor scores were negatively associated with pRNFL (ρ = − 0.677; p < 0.01). Conclusions Using OCT, we showed retinal degeneration in NPC1-P and significant correlation between retinal neuroaxonal degeneration with clinical measurements. We observed a non-significant trend of retinal degeneration in NPC1-MC correlating with subclinical motor abnormalities. Based on these preliminary data, OCT may be an important marker of neurodegeneration in NPC1-disease after onset of clinical symptoms.
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Montolío A, Cegoñino J, Orduna E, Sebastian B, Garcia-Martin E, Pérez del Palomar A. A mathematical model to predict the evolution of retinal nerve fiber layer thinning in multiple sclerosis patients. Comput Biol Med 2019; 111:103357. [DOI: 10.1016/j.compbiomed.2019.103357] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 07/12/2019] [Accepted: 07/13/2019] [Indexed: 01/10/2023]
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