10 results on '"Soelberg K"'
Search Results
2. Longitudinal retinal changes in MOGAD
- Author
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Oertel, F.C., Sotirchos, E.S., Zimmermann, H.G., Motamedi, S., Specovius, S., Asseyer, E.S., Chien, C., Cook, L., Vasileiou, E., Filippatou, A., Calabresi, P.A., Saidha, S., Pandit, L., D'Cunha, A., Outteryck, O., Zéphir, H., Pittock, S., Flanagan, E.P., Bhatti, M.T., Rommer, P.S., Bsteh, G., Zrzavy, T., Kuempfel, T., Aktas, O., Ringelstein, M., Albrecht, P., Ayzenberg, I., Pakeerathan, T., Knier, B., Aly, L., Asgari, N., Soelberg, K., Marignier, R., Tilikete, C.F., Calvo, A.C., Villoslada, P., Sanchez-Dalmau, B., Martinez-Lapiscina, E.H., Llufriu, S., Green, A.J., Yeaman, M.R., Smith, T.J., Brandt, A.U., Chen, J., Paul, F., and Havla, J.
- Subjects
Function and Dysfunction of the Nervous System - Abstract
OBJECTIVE: Patients with myelin oligodendrocyte glycoprotein antibody (MOG-IgG) associated disease (MOGAD) suffer from severe optic neuritis (ON) leading to retinal neuro-axonal loss, which can be quantified by optical coherence tomography (OCT). We assessed whether ON-independent retinal atrophy can be detected in MOGAD. METHODS: Eighty MOGAD patients and 139 healthy controls (HC) were included. OCT data was acquired with 1) Spectralis spectral domain OCT (MOGAD (N=66) and HC (N=103)) and 2) Cirrus HD-OCT (MOGAD (N=14) and HC (N=36)). Macular combined ganglion cell and inner plexiform layer (GCIPL) and peripapillary retinal nerve fibre layer (pRNFL) were quantified. RESULTS: At baseline, GCIPL and pRNFL were lower in MOGAD eyes with a history of ON (MOGAD-ON) compared with MOGAD eyes without a history of ON (MOGAD-NON) and HC (p12 months ago (p
- Published
- 2022
3. Artificial intelligence extension of the OSCAR-IB criteria
- Author
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Petzold, A., Albrecht, P., Balcer, L., Bekkers, E., Brandt, A. U., Calabresi, P. A., Deborah, O. G., Graves, J. S., Green, A., Keane, P. A., Nij Bijvank, J. A., Sander, J. W., Paul, F., Saidha, S., Villoslada, P., Wagner, S. K., Yeh, E. A., Aktas, O., Antel, J., Asgari, N., Audo, I., Avasarala, J., Avril, D., Bagnato, F. R., Banwell, B., Bar-Or, A., Behbehani, R., Manterola, A. B., Bennett, J., Benson, L., Bernard, J., Bremond-Gignac, D., Britze, J., Burton, J., Calkwood, J., Carroll, W., Chandratheva, A., Cohen, J., Comi, G., Cordano, C., Costa, S., Costello, F., Courtney, A., Cruz-Herranz, A., Cutter, G., Crabb, D., Delott, L., De Seze, J., Diem, R., Dollfuss, H., El Ayoubi, N. K., Fasser, C., Finke, C., Fischer, D., Fitzgerald, K., Fonseca, P., Frederiksen, J. L., Frohman, E., Frohman, T., Fujihara, K., Cuellar, I. G., Galetta, S., Garcia-Martin, E., Giovannoni, G., Glebauskiene, B., Suarez, I. G., Jensen, G. P., Hamann, S., Hartung, H. -P., Havla, J., Hemmer, B., Huang, S. -C., Imitola, J., Jasinskas, V., Jiang, H., Kafieh, R., Kappos, L., Kardon, R., Keegan, D., Kildebeck, E., Kim, U. S., Klistorner, S., Knier, B., Kolbe, S., Korn, T., Krupp, L., Lagreze, W., Leocani, L., Levin, N., Liskova, P., Preiningerova, J. L., Lorenz, B., May, E., Miller, D., Mikolajczak, J., Said, S. M., Montalban, X., Morrow, M., Mowry, E., Murta, J., Navas, C., Nolan, R., Nowomiejska, K., Oertel, F. C., Oh, J., Oreja-Guevara, C., Orssaud, C., Osborne, B., Outteryck, O., Paiva, C., Palace, J., Papadopoulou, A., Patsopoulos, N., Pontikos, N., Preising, M., Prince, J., Reich, D., Rejdak, R., Ringelstein, M., Rodriguez de Antonio, L., Sahel, J. -A., Sanchez-Dalmau, B., Sastre-Garriga, J., Schippling, S., Schuman, J., Shindler, K., Shin, R., Shuey, N., Soelberg, K., Specovius, S., Suppiej, A., Thompson, A., Toosy, A., Torres, R., Touitou, V., Trauzettel-Klosinski, S., van der Walt, A., Vermersch, P., Vidal-Jordana, A., Waldman, A. T., Waters, C., Wheeler, R., White, O., Wilhelm, H., Winges, K. M., Wiegerinck, N., Wiehe, L., Wisnewski, T., Wong, S., Wurfel, J., Yaghi, S., You, Y., Yu, Z., Yu-Wai-Man, P., Zemaitien≐, R., Zimmermann, H., Albrecht P., Petzold A., Balcer, L., Bekkers, E., Brandt, A. U., Calabresi, P. A., Deborah, O. G., Graves, J. S., Green, A., Keane, P. A., Nij Bijvank, J. A., Sander, J. W., Paul, F., Saidha, S., Villoslada, P., Wagner, S. K., Yeh, E. A., Aktas, O., Antel, J., Asgari, N., Audo, I., Avasarala, J., Avril, D., Bagnato, F. R., Banwell, B., Bar-Or, A., Behbehani, R., Manterola, A. B., Bennett, J., Benson, L., Bernard, J., Bremond-Gignac, D., Britze, J., Burton, J., Calkwood, J., Carroll, W., Chandratheva, A., Cohen, J., Comi, G., Cordano, C., Costa, S., Costello, F., Courtney, A., Cruz-Herranz, A., Cutter, G., Crabb, D., Delott, L., De Seze, J., Diem, R., Dollfuss, H., El Ayoubi, N. K., Fasser, C., Finke, C., Fischer, D., Fitzgerald, K., Fonseca, P., Frederiksen, J. L., Frohman, E., Frohman, T., Fujihara, K., Cuellar, I. G., Galetta, S., Garcia-Martin, E., Giovannoni, G., Glebauskiene, B., Suarez, I. G., P. , Jensen, G., Hamann, S., Hartung, H. -P., Havla, J., Hemmer, B., Huang, S. -C., Imitola, J., Jasinskas, V., Jiang, H., Kafieh, R., Kappos, L., Kardon, R., Keegan, D., Kildebeck, E., Kim, U. S., Klistorner, S., Knier, B., Kolbe, S., Korn, T., Krupp, L., Lagreze, W., Leocani, L., Levin, N., Liskova, P., Preiningerova, J. L., Lorenz, B., May, E., Miller, D., Mikolajczak, J., Said, S. M., Montalban, X., Morrow, M., Mowry, E., Murta, J., Navas, C., Nolan, R., Nowomiejska, K., Oertel, F. C., Oh, J., Oreja-Guevara, C., Orssaud, C., Osborne, B., Outteryck, O., Paiva, C., Palace, J., Papadopoulou, A., Patsopoulos, N., Pontikos, N., Preising, M., Prince, J., Reich, D., Rejdak, R., Ringelstein, M., Rodriguez de Antonio, L., Sahel, J. -A., Sanchez-Dalmau, B., Sastre-Garriga, J., Schippling, S., Schuman, J., Shindler, K., Shin, R., Shuey, N., Soelberg, K., Specovius, S., Suppiej, A., Thompson, A., Toosy, A., Torres, R., Touitou, V., Trauzettel-Klosinski, S., van der Walt, A., Vermersch, P., Vidal-Jordana, A., Waldman, A. T., Waters, C., Wheeler, R., White, O., Wilhelm, H., Winges, K. M., Wiegerinck, N., Wiehe, L., Wisnewski, T., Wong, S., Wurfel, J., Yaghi, S., You, Y., Yu, Z., Yu-Wai-Man, P., Zemaitien≐, R., and Zimmermann, H.
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0301 basic medicine ,Big Data ,medicine.medical_specialty ,Neurology ,media_common.quotation_subject ,Big data ,MEDLINE ,Reviews ,Socio-culturale ,Neurosciences. Biological psychiatry. Neuropsychiatry ,Review ,Public domain ,Retina ,Cohort Studies ,03 medical and health sciences ,Annotation ,0302 clinical medicine ,Artificial Intelligence ,medicine ,Humans ,Quality (business) ,RC346-429 ,Tomography ,media_common ,Image pattern recognition ,business.industry ,General Neuroscience ,Nervous System Diseases ,Tomography, Optical Coherence ,Algorithms ,030104 developmental biology ,Optical Coherence ,Imaging technology ,RC0321 ,Neurology. Diseases of the nervous system ,Neurology (clinical) ,Artificial intelligence ,sense organs ,business ,030217 neurology & neurosurgery ,RC321-571 - Abstract
Artificial intelligence (AI)‐based diagnostic algorithms have achieved ambitious aims through automated image pattern recognition. For neurological disorders, this includes neurodegeneration and inflammation. Scalable imaging technology for big data in neurology is optical coherence tomography (OCT). We highlight that OCT changes observed in the retina, as a window to the brain, are small, requiring rigorous quality control pipelines. There are existing tools for this purpose. Firstly, there are human‐led validated consensus quality control criteria (OSCAR‐IB) for OCT. Secondly, these criteria are embedded into OCT reporting guidelines (APOSTEL). The use of the described annotation of failed OCT scans advances machine learning. This is illustrated through the present review of the advantages and disadvantages of AI‐based applications to OCT data. The neurological conditions reviewed here for the use of big data include Alzheimer disease, stroke, multiple sclerosis (MS), Parkinson disease, and epilepsy. It is noted that while big data is relevant for AI, ownership is complex. For this reason, we also reached out to involve representatives from patient organizations and the public domain in addition to clinical and research centers. The evidence reviewed can be grouped in a five‐point expansion of the OSCAR‐IB criteria to embrace AI (OSCAR‐AI). The review concludes by specific recommendations on how this can be achieved practically and in compliance with existing guidelines.
- Published
- 2021
4. BMJ Open
- Author
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Specovius, S. (Svenja), Zimmermann, H. (Hanna) G. (G), Oertel, F. (Frederike) C. (Cosima), Chien, C. (Claudia), Bereuter, C. (Charlotte), Cook, L. (Lawrence) J. (J), Lana Peixoto, M. (Marco) A. (Aurélio), Fontenelle, M. (Mariana) A. (Andrade), Kim, H. (Ho) J. (Jin), Hyun, J. (Jae-Won), Jung, S. (Su-Kyung), Palace, J. (Jacqueline), Roca-Fernandez, A. (Adriana), Diaz, A. (Alejandro) R. (Rubio), Leite, M. (Maria) I. (Isabel), Sharma, S. (Srilakshmi) M. (M), Ashtari, F. (Fereshte), Kafieh, R. (Rahele), Dehghani, A. (Alireza), Pourazizi, M. (Mohsen), Pandit, L. (Lekha), Dcunha, A. (Anitha), Aktas, O. (Orhan), Ringelstein, M. (Marius), Albrecht, P. (Philipp), May, E. (Eugene), Tongco, C. (Caryl), Leocani, L. (Letizia), Pisa, M. (Marco), Radaelli, M. (Marta), Martinez-Lapiscina, E. (Elena) H. (H), Stiebel-Kalish, H. (Hadas), Hellmann, M. (Mark), Lotan, I. (Itay), Siritho, S. (Sasitorn), De Sèze, J. (Jérôme), Senger, T. (Thomas), Havla, J. (Joachim), Marignier, R. (Romain), Tilikete, C. (Caroline), Cobo Calvo, A. (Alvaro), Bichuetti, D. (Denis) B. (Bernardi), Tavares, I. (Ivan) M. (Maynart), Asgari, N. (Nasrin), Soelberg, K. (Kerstin), Altintas, A. (Ayse), Yildirim, R. (Rengin), Tanriverdi, U. (Uygur), Jacob, A. (Anu), Huda, S. (Saif), Rimler, Z. (Zoe), Reid, A. (Allyson), Mao-Draayer, Y. (Yang), de Castillo, I. (Ibis) S. (Soto), Yeaman, M. (Michael) R. (R), Smith, T. (Terry) J. (J), Brandt, A. (Alexander) U. (U), and Paul, F. (Friedemann)
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Sciences du Vivant [q-bio]/Neurosciences [q-bio.NC] - Abstract
PURPOSE: Optical coherence tomography (OCT) captures retinal damage in neuromyelitis optica spectrum disorders (NMOSD). Previous studies investigating OCT in NMOSD have been limited by the rareness and heterogeneity of the disease. The goal of this study was to establish an image repository platform, which will facilitate neuroimaging studies in NMOSD. Here we summarise the profile of the Collaborative OCT in NMOSD repository as the initial effort in establishing this platform. This repository should prove invaluable for studies using OCT to investigate NMOSD. PARTICIPANTS: The current cohort includes data from 539 patients with NMOSD and 114 healthy controls. These were collected at 22 participating centres from North and South America, Asia and Europe. The dataset consists of demographic details, diagnosis, antibody status, clinical disability, visual function, history of optic neuritis and other NMOSD defining attacks, and OCT source data from three different OCT devices. FINDINGS TO DATE: The cohort informs similar demographic and clinical characteristics as those of previously published NMOSD cohorts. The image repository platform and centre network continue to be available for future prospective neuroimaging studies in NMOSD. For the conduct of the study, we have refined OCT image quality criteria and developed a cross-device intraretinal segmentation pipeline. FUTURE PLANS: We are pursuing several scientific projects based on the repository, such as analysing retinal layer thickness measurements, in this cohort in an attempt to identify differences between distinct disease phenotypes, demographics and ethnicities. The dataset will be available for further projects to interested, qualified parties, such as those using specialised image analysis or artificial intelligence applications.
- Published
- 2020
5. Highly sensitive quantification of optic neuritis intrathecal biomarker CXCL13
- Author
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Olesen, M. N., Nilsson, A. C., Pihl-Jensen, G., Soelberg, K. K., Olsen, D. A., Brandslund, I., Lillevang, S. T., Madsen, J. S., Frederiksen, J. L., Asgari, N., Olesen, M. N., Nilsson, A. C., Pihl-Jensen, G., Soelberg, K. K., Olsen, D. A., Brandslund, I., Lillevang, S. T., Madsen, J. S., Frederiksen, J. L., and Asgari, N.
- Abstract
Background: Elevation of CXCL13, a key regulator of B-cell recruitment in cerebrospinal fluid (CSF) is implicated in multiple sclerosis (MS). Objective: to evaluate if measurement of CXCL13 using a highly sensitive assay is of value in acute optic neuritis (ON) patients for the prediction of later MS. Method: CXCL13 was measured by Simoa in two independent treatment-naïve ON cohorts, a training cohort (TC, n = 33) originating from a population-based cohort, a validation cohort (VC, n = 30) consecutively collected following principles for population studies. Prospectively, 14/33 TC and 12/30 VC patients progressed to MS (MS-ON) while 19/33 TC and 18/30 VC patients, remained as isolated ON (ION). Results: CXCL13 was detectable in all samples and were higher in ON compared with healthy controls (HC) (p = 0.012). In the TC, CSF levels in MS-ON were higher compared with ION patients and HC (p = 0.0001 and p<0.0001). In the VC, we confirmed the increase of CXCL13 in MS-ON compared to ION (p = 0.0091). Logistic regression analysis revealed an area under receiver operating characteristic curve of 0.83 [95% C.I: 0.73–0.93]. Conclusions: The highly sensitive CXCL13 Simoa assay demonstrated ability to identify ON patients and separate MS-ON from ION, and predictive diagnostic values indicates a promising potential of this assay.
- Published
- 2020
6. Retinal Optical Coherence Tomography in Neuromyelitis Optica.
- Author
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Oertel FC, Specovius S, Zimmermann HG, Chien C, Motamedi S, Bereuter C, Cook L, Lana Peixoto MA, Fontanelle MA, Kim HJ, Hyun JW, Palace J, Roca-Fernandez A, Leite MI, Sharma S, Ashtari F, Kafieh R, Dehghani A, Pourazizi M, Pandit L, D'Cunha A, Aktas O, Ringelstein M, Albrecht P, May E, Tongco C, Leocani L, Pisa M, Radaelli M, Martinez-Lapiscina EH, Stiebel-Kalish H, Siritho S, de Seze J, Senger T, Havla J, Marignier R, Cobo-Calvo A, Bichuetti D, Tavares IM, Asgari N, Soelberg K, Altintas A, Yildirim R, Tanriverdi U, Jacob A, Huda S, Rimler Z, Reid A, Mao-Draayer Y, Soto de Castillo I, Petzold A, Green AJ, Yeaman MR, Smith T, Brandt AU, and Paul F
- Subjects
- Adult, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Neuromyelitis Optica diagnostic imaging, Optic Neuritis diagnostic imaging, Retrospective Studies, Tomography, Optical Coherence, Young Adult, Aquaporin 4 immunology, Neuromyelitis Optica immunology, Neuromyelitis Optica pathology, Optic Neuritis immunology, Optic Neuritis pathology, Retinal Neurons pathology
- Abstract
Background and Objectives: To determine optic nerve and retinal damage in aquaporin-4 antibody (AQP4-IgG)-seropositive neuromyelitis optica spectrum disorders (NMOSD) in a large international cohort after previous studies have been limited by small and heterogeneous cohorts., Methods: The cross-sectional Collaborative Retrospective Study on retinal optical coherence tomography (OCT) in neuromyelitis optica collected retrospective data from 22 centers. Of 653 screened participants, we included 283 AQP4-IgG-seropositive patients with NMOSD and 72 healthy controls (HCs). Participants underwent OCT with central reading including quality control and intraretinal segmentation. The primary outcome was thickness of combined ganglion cell and inner plexiform (GCIP) layer; secondary outcomes were thickness of peripapillary retinal nerve fiber layer (pRNFL) and visual acuity (VA)., Results: Eyes with ON (NMOSD-ON, N = 260) or without ON (NMOSD-NON, N = 241) were assessed compared with HCs (N = 136). In NMOSD-ON, GCIP layer (57.4 ± 12.2 μm) was reduced compared with HC (GCIP layer: 81.4 ± 5.7 μm, p < 0.001). GCIP layer loss (-22.7 μm) after the first ON was higher than after the next (-3.5 μm) and subsequent episodes. pRNFL observations were similar. NMOSD-NON exhibited reduced GCIP layer but not pRNFL compared with HC. VA was greatly reduced in NMOSD-ON compared with HC eyes, but did not differ between NMOSD-NON and HC., Discussion: Our results emphasize that attack prevention is key to avoid severe neuroaxonal damage and vision loss caused by ON in NMOSD. Therapies ameliorating attack-related damage, especially during a first attack, are an unmet clinical need. Mild signs of neuroaxonal changes without apparent vision loss in ON-unaffected eyes might be solely due to contralateral ON attacks and do not suggest clinically relevant progression but need further investigation., (Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)
- Published
- 2021
- Full Text
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7. Cohort profile: a collaborative multicentre study of retinal optical coherence tomography in 539 patients with neuromyelitis optica spectrum disorders (CROCTINO).
- Author
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Specovius S, Zimmermann HG, Oertel FC, Chien C, Bereuter C, Cook LJ, Lana Peixoto MA, Fontenelle MA, Kim HJ, Hyun JW, Jung SK, Palace J, Roca-Fernandez A, Diaz AR, Leite MI, Sharma SM, Ashtari F, Kafieh R, Dehghani A, Pourazizi M, Pandit L, Dcunha A, Aktas O, Ringelstein M, Albrecht P, May E, Tongco C, Leocani L, Pisa M, Radaelli M, Martinez-Lapiscina EH, Stiebel-Kalish H, Hellmann M, Lotan I, Siritho S, de Seze J, Senger T, Havla J, Marignier R, Tilikete C, Cobo Calvo A, Bichuetti DB, Tavares IM, Asgari N, Soelberg K, Altintas A, Yildirim R, Tanriverdi U, Jacob A, Huda S, Rimler Z, Reid A, Mao-Draayer Y, de Castillo IS, Yeaman MR, Smith TJ, Brandt AU, and Paul F
- Subjects
- Artificial Intelligence, Asia, Europe, Humans, South America, Tomography, Optical Coherence, Visual Acuity, Neuromyelitis Optica diagnostic imaging
- Abstract
Purpose: Optical coherence tomography (OCT) captures retinal damage in neuromyelitis optica spectrum disorders (NMOSD). Previous studies investigating OCT in NMOSD have been limited by the rareness and heterogeneity of the disease. The goal of this study was to establish an image repository platform, which will facilitate neuroimaging studies in NMOSD. Here we summarise the profile of the Collaborative OCT in NMOSD repository as the initial effort in establishing this platform. This repository should prove invaluable for studies using OCT to investigate NMOSD., Participants: The current cohort includes data from 539 patients with NMOSD and 114 healthy controls. These were collected at 22 participating centres from North and South America, Asia and Europe. The dataset consists of demographic details, diagnosis, antibody status, clinical disability, visual function, history of optic neuritis and other NMOSD defining attacks, and OCT source data from three different OCT devices., Findings to Date: The cohort informs similar demographic and clinical characteristics as those of previously published NMOSD cohorts. The image repository platform and centre network continue to be available for future prospective neuroimaging studies in NMOSD. For the conduct of the study, we have refined OCT image quality criteria and developed a cross-device intraretinal segmentation pipeline., Future Plans: We are pursuing several scientific projects based on the repository, such as analysing retinal layer thickness measurements, in this cohort in an attempt to identify differences between distinct disease phenotypes, demographics and ethnicities. The dataset will be available for further projects to interested, qualified parties, such as those using specialised image analysis or artificial intelligence applications., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
- Published
- 2020
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8. Noninvasive Retinal Markers in Diabetic Retinopathy: Advancing from Bench towards Bedside.
- Author
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Blindbæk SL, Torp TL, Lundberg K, Soelberg K, Vergmann AS, Poulsen CD, Frydkjaer-Olsen U, Broe R, Rasmussen ML, Wied J, Lind M, Vestergaard AH, Peto T, and Grauslund J
- Subjects
- Denmark, Diabetic Retinopathy metabolism, Diabetic Retinopathy therapy, Fundus Oculi, Humans, Light Coagulation, Macular Edema metabolism, Oximetry, Treatment Outcome, Diabetic Retinopathy pathology, Macular Edema pathology, Retinal Vessels pathology
- Abstract
The retinal vascular system is the only part of the human body available for direct, in vivo inspection. Noninvasive retinal markers are important to identity patients in risk of sight-threatening diabetic retinopathy. Studies have correlated structural features like retinal vascular caliber and fractals with micro- and macrovascular dysfunction in diabetes. Likewise, the retinal metabolism can be evaluated by retinal oximetry, and higher retinal venular oxygen saturation has been demonstrated in patients with diabetic retinopathy. So far, most studies have been cross-sectional, but these can only disclose associations and are not able to separate cause from effect or to establish the predictive value of retinal vascular dysfunction with respect to long-term complications. Likewise, retinal markers have not been investigated as markers of treatment outcome in patients with proliferative diabetic retinopathy and diabetic macular edema. The Department of Ophthalmology at Odense University Hospital, Denmark, has a strong tradition of studying the retinal microvasculature in diabetic retinopathy. In the present paper, we demonstrate the importance of the retinal vasculature not only as predictors of long-term microvasculopathy but also as markers of treatment outcome in sight-threatening diabetic retinopathy in well-established population-based cohorts of patients with diabetes.
- Published
- 2017
- Full Text
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9. MOG-IgG in NMO and related disorders: a multicenter study of 50 patients. Part 4: Afferent visual system damage after optic neuritis in MOG-IgG-seropositive versus AQP4-IgG-seropositive patients.
- Author
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Pache F, Zimmermann H, Mikolajczak J, Schumacher S, Lacheta A, Oertel FC, Bellmann-Strobl J, Jarius S, Wildemann B, Reindl M, Waldman A, Soelberg K, Asgari N, Ringelstein M, Aktas O, Gross N, Buttmann M, Ach T, Ruprecht K, Paul F, and Brandt AU
- Subjects
- Adult, Evoked Potentials, Visual physiology, Female, Humans, Male, Middle Aged, Photic Stimulation, Reaction Time physiology, Retina pathology, Statistics, Nonparametric, Tomography, Optical Coherence, Visual Acuity physiology, Visual Pathways pathology, Visual Pathways physiopathology, Aquaporin 4 immunology, Immunoglobulin G blood, Myelin-Oligodendrocyte Glycoprotein immunology, Optic Neuritis blood, Optic Neuritis complications, Optic Neuritis immunology, Retinal Diseases etiology
- Abstract
Background: Antibodies against myelin oligodendrocyte glycoprotein (MOG-IgG) have been reported in patients with aquaporin-4 antibody (AQP4-IgG)-negative neuromyelitis optica spectrum disorders (NMOSD). The objective of this study was to describe optic neuritis (ON)-induced neuro-axonal damage in the retina of MOG-IgG-positive patients in comparison with AQP4-IgG-positive NMOSD patients., Methods: Afferent visual system damage following ON was bilaterally assessed in 16 MOG-IgG-positive patients with a history of ON and compared with that in 16 AQP4-IgG-positive NMOSD patients. In addition, 16 healthy controls matched for age, sex, and disease duration were analyzed. Study data included ON history, retinal optical coherence tomography, visual acuity, and visual evoked potentials., Results: Eight MOG-IgG-positive patients had a previous diagnosis of AQP4-IgG-negative NMOSD with ON and myelitis, and eight of (mainly recurrent) ON. Twenty-nine of the 32 eyes of the MOG-IgG-positive patients had been affected by at least one episode of ON. Peripapillary retinal nerve fiber layer thickness (pRNFL) and ganglion cell and inner plexiform layer volume (GCIP) were significantly reduced in ON eyes of MOG-IgG-positive patients (pRNFL = 59 ± 23 μm; GCIP = 1.50 ± 0.34 mm
3 ) compared with healthy controls (pRNFL = 99 ± 6 μm, p < 0.001; GCIP = 1.97 ± 0.11 mm3 , p < 0.001). Visual acuity was impaired in eyes after ON in MOG-IgG-positive patients (0.35 ± 0.88 logMAR). There were no significant differences in any structural or functional visual parameters between MOG-IgG-positive and AQP4-IgG-positive patients (pRNFL: 59 ± 21 μm; GCIP: 1.41 ± 0.27 mm3 ; Visual acuity = 0.72 ± 1.09 logMAR). Importantly, MOG-IgG-positive patients had a significantly higher annual ON relapse rate than AQP4-IgG-positive patients (median 0.69 vs. 0.29 attacks/year, p = 0.004), meaning that on average a single ON episode caused less damage in MOG-IgG-positive than in AQP4-IgG-positive patients. pRNFL and GCIP loss correlated with the number of ON episodes in MOG-IgG-positive patients (p < 0.001), but not in AQP4-IgG-positive patients., Conclusions: Retinal neuro-axonal damage and visual impairment after ON in MOG-IgG-positive patients are as severe as in AQP4-IgG-positive NMOSD patients. In MOG-IgG-positive patients, damage accrual may be driven by higher relapse rates, whereas AQP4-IgG-positive patients showed fewer but more severe episodes of ON. Given the marked damage in some of our MOG-IgG-positive patients, early diagnosis and timely initiation and close monitoring of immunosuppressive therapy are important.- Published
- 2016
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10. Aquaporin-4 IgG autoimmune syndrome and immunoreactivity associated with thyroid cancer.
- Author
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Soelberg K, Larsen SR, Moerch MT, Thomassen M, Brusgaard K, Paul F, Smith TJ, Godballe C, Grauslund J, Lillevang ST, and Asgari N
- Published
- 2016
- Full Text
- View/download PDF
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