Search

Your search keyword '"Petzold, Axel"' showing total 1,172 results
Start Over Author "Petzold, Axel"
1,172 results on '"Petzold, Axel"'

1. No substantial neurocognitive impact of COVID-19 across ages and disease severity: a multicenter biomarker study of SARS-CoV-2 positive and negative adult and pediatric patients with acute respiratory tract infections

Author

Ehler, Johannes, Klawitter, Felix, von Möllendorff, Friedrich, Zacharias, Maike, Fischer, Dagmar-Christiane, Danckert, Lena, Bajorat, Rika, Hackenberg, Johanna, Bertsche, Astrid, Loebermann, Micha, Geerdes-Fenge, Hilte, Fleischmann, Robert, Klinkmann, Gerd, Schramm, Patrick, Schober, Sarah, Petzold, Axel, Perneczky, Robert, and Saller, Thomas

Published
2024
Full Text
View/download PDF

3. Neurofilaments as biomarkers in neurological disorders — towards clinical application

Author

Khalil, Michael, Teunissen, Charlotte E., Lehmann, Sylvain, Otto, Markus, Piehl, Fredrik, Ziemssen, Tjalf, Bittner, Stefan, Sormani, Maria Pia, Gattringer, Thomas, Abu-Rumeileh, Samir, Thebault, Simon, Abdelhak, Ahmed, Green, Ari, Benkert, Pascal, Kappos, Ludwig, Comabella, Manuel, Tumani, Hayrettin, Freedman, Mark S., Petzold, Axel, Blennow, Kaj, Zetterberg, Henrik, Leppert, David, and Kuhle, Jens

Published
2024
Full Text
View/download PDF

7. Diagnostic value of intereye difference metrics for optic neuritis in aquaporin-4 antibody seropositive neuromyelitis optica spectrum disorders.

Author

Oertel, Frederike, Zimmermann, Hanna, Motamedi, Seyedamirhosein, Chien, Claudia, Aktas, Orhan, Albrecht, Philipp, Ringelstein, Marius, Dcunha, Anitha, Pandit, Lekha, Martinez-Lapiscina, Elena, Sanchez-Dalmau, Bernardo, Villoslada, Pablo, Palace, Jacqueline, Roca-Fernández, Adriana, Leite, Maria, Sharma, Srilakshmi, Leocani, Letizia, Pisa, Marco, Radaelli, Marta, Lana-Peixoto, Marco, Fontenelle, Mariana, Havla, Joachim, Ashtari, Fereshteh, Kafieh, Rahele, Dehghani, Alireza, Pourazizi, Mohsen, Marignier, Romain, Cobo-Calvo, Alvaro, Asgari, Nasrin, Jacob, Anu, Huda, Saif, Mao-Draayer, Yang, Green, Ari, Kenney, Rachel, Yeaman, Michael, Smith, Terry, Cook, Lawrence, Brandt, Alexander, Paul, Friedemann, and Petzold, Axel

Subjects
neuroimmunology, neuroophthalmology, vision, Humans, Neuromyelitis Optica, Retrospective Studies, Benchmarking, Optic Neuritis, Tomography, Optical Coherence, Autoantibodies, Aquaporins, Aquaporin 4
Abstract

BACKGROUND: The novel optic neuritis (ON) diagnostic criteria include intereye differences (IED) of optical coherence tomography (OCT) parameters. IED has proven valuable for ON diagnosis in multiple sclerosis but has not been evaluated in aquaporin-4 antibody seropositive neuromyelitis optica spectrum disorders (AQP4+NMOSD). We evaluated the diagnostic accuracy of intereye absolute (IEAD) and percentage difference (IEPD) in AQP4+NMOSD after unilateral ON >6 months before OCT as compared with healthy controls (HC). METHODS: Twenty-eight AQP4+NMOSD after unilateral ON (NMOSD-ON), 62 HC and 45 AQP4+NMOSD without ON history (NMOSD-NON) were recruited by 13 centres as part of the international Collaborative Retrospective Study on retinal OCT in Neuromyelitis Optica study. Mean thickness of peripapillary retinal nerve fibre layer (pRNFL) and macular ganglion cell and inner plexiform layer (GCIPL) were quantified by Spectralis spectral domain OCT. Threshold values of the ON diagnostic criteria (pRNFL: IEAD 5 µm, IEPD 5%; GCIPL: IEAD: 4 µm, IEPD: 4%) were evaluated using receiver operating characteristics and area under the curve (AUC) metrics. RESULTS: The discriminative power was high for NMOSD-ON versus HC for IEAD (pRNFL: AUC 0.95, specificity 82%, sensitivity 86%; GCIPL: AUC 0.93, specificity 98%, sensitivity 75%) and IEPD (pRNFL: AUC 0.96, specificity 87%, sensitivity 89%; GCIPL: AUC 0.94, specificity 96%, sensitivity 82%). The discriminative power was high/moderate for NMOSD-ON versus NMOSD-NON for IEAD (pRNFL: AUC 0.92, specificity 77%, sensitivity 86%; GCIP: AUC 0.87, specificity 85%, sensitivity 75%) and for IEPD (pRNFL: AUC 0.94, specificity 82%, sensitivity 89%; GCIP: AUC 0.88, specificity 82%, sensitivity 82%). CONCLUSIONS: Results support the validation of the IED metrics as OCT parameters of the novel diagnostic ON criteria in AQP4+NMOSD.

Published
2023

8. Visually Evoked Potential as Prognostic Biomarker for Neuroaxonal Damage in Multiple Sclerosis From a Multicenter Longitudinal Cohort

Author

Oertel, Frederike Cosima, Krämer, Julia, Motamedi, Seyedamirhosein, Keihani, Azeen, Zimmermann, Hanna G, Dimitriou, Nikolaos G, Condor-Montes, Shivany, Bereuter, Charlotte, Cordano, Christian, Abdelhak, Ahmed, Trip, Anand, Aktas, Orhan, Meuth, Sven G, Wiendl, Heinz, Ruprecht, Klemens, Bellmann-Strobl, Judith, Paul, Friedemann, Petzold, Axel, Brandt, Alexander U, Albrecht, Philipp, and Green, Ari J

Subjects
Biomedical and Clinical Sciences, Ophthalmology and Optometry, Neurodegenerative, Clinical Research, Multiple Sclerosis, Neurosciences, Eye Disease and Disorders of Vision, Brain Disorders, Autoimmune Disease, Eye, Neurological, Humans, Male, Evoked Potentials, Optic Neuritis, Prognosis, Retina, Retinal Ganglion Cells, Female, Adult, Middle Aged
Abstract

Background and objectivesWith the increasing use of visually evoked potentials (VEPs) as quantitative outcome parameters for myelin in clinical trials, an in-depth understanding of longitudinal VEP latency changes and their prognostic potential for subsequent neuronal loss will be required. In this longitudinal multicenter study, we evaluated the association and prognostic potential of VEP latency for retinal neurodegeneration, measured by optical coherence tomography (OCT), in relapsing-remitting MS (RRMS).MethodsWe included 293 eyes of 147 patients with RRMS (age [years, median ± SD] 36 ± 10, male sex 35%, F/U [years, median {IQR} 2.1 {1.5-3.9}]): 41 eyes had a history of optic neuritis (ON) ≥6 months before baseline (CHRONIC-ON), and 252 eyes had no history of ON (CHRONIC-NON). P100 latency (VEP), macular combined ganglion cell and inner plexiform layer volume (GCIPL), and peripapillary retinal nerve fiber layer thickness (pRNFL) (OCT) were quantified.ResultsP100 latency change over the first year predicted subsequent GCIPL loss (36 months) across the entire chronic cohort (p = 0.001) and in (and driven by) the CHRONIC-NON subset (p = 0.019) but not in the CHRONIC-ON subset (p = 0.680). P100 latency and pRNFL were correlated at baseline (CHRONIC-NON p = 0.004, CHRONIC-ON p < 0.001), but change in P100 latency and pRNFL were not correlated. P100 latency did not differ longitudinally between protocols or centers.DiscussionVEP in non-ON eyes seems to be a promising marker of demyelination in RRMS and of potential prognostic value for subsequent retinal ganglion cell loss. This study also provides evidence that VEP may be a useful and reliable biomarker for multicenter studies.

Published
2023

9. The Association of Urinary Sodium Excretion with Glaucoma and Related Traits in a Large United Kingdom Population

Author

Aschard, Hugues, Chia, Mark, Chua, Sharon, Do, Ron, Foster, Paul, Kang, Jae, Kastner, Alan, Khawaja, Anthony, Kim, Jihye, Lentjes, Marleen, Luben, Robert, Madjedi, Kian, Montesano, Giovanni, Pasquale, Louis, Stuart, Kelsey, Warwick, Alasdair, Wiggs, Janey, Allen, Naomi, Aslam, Tariq, Atan, Denize, Barman, Sarah, Barrett, Jenny, Bishop, Paul, Black, Graeme, Braithwaite, Tasanee, Carare, Roxana, Chakravarthy, Usha, Chan, Michelle, Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew, Doney, Alexander, Egan, Cathy, Ennis, Sarah, Fruttiger, Marcus, Garway-Heath, David (Ted), Gibson, Jane, Guggenheim, Jeremy, Hammond, Chris, Hardcastle, Alison, Harding, Simon, Hogg, Ruth, Hysi, Pirro, Keane, Pearse, Khaw, Peng Tee, Lascaratos, Gerassimos, Littlejohns, Thomas, Lotery, Andrew, Luthert, Phil, MacGillivray, Tom, Mackie, Sarah, McGuinness, Bernadette, McKay, Gareth, McKibbin, Martin, Moore, Tony, Morgan, James, O'Sullivan, Eoin, Oram, Richard, Owen, Chris, Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Pontikos, Nikolas, Rahi, Jugnoo, Rudnicka, Alicja, Sattar, Naveed, Self, Jay, Sergouniotis, Panagiotis, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Sun, Zihan, Tapp, Robyn, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Viswanathan, Ananth, Vitart, Veronique, Weedon, Mike, Williams, Katie, Williams, Cathy, Woodside, Jayne, Yates, Max, Yip, Jennifer, Zheng, Yalin, Aung, Tin, Burdon, Kathryn, Chen, Li, Cheng, Ching-Yu, Craig, Jamie, Cree, Angela, de Vries, Victor, Driessen, Sjoerd, Fingert, John, Gharahkhani, Puya, Hammond, Christopher, Hayward, Caroline, Hewitt, Alex, Jansonius, Nomdo, Jonansson, Fridbert, Jonas, Jost, Kass, Michael, Khor, Chiea, Klaver, Caroline, Koh, Jacyline, MacGregor, Stuart, Mackey, David, Mitchell, Paul, Pang, Calvin, Pasutto, Francesca, Pfeiffer, Norbert, Polašek, Ozren, Ramdas, Wishal, Schuster, Alexander, Segrè, Ayellet, Stefansson, Einer, Stefánsson, Kári, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, van Duijn, Cornelia, Vergroesen, Joëlle, Vithana, Eranga, Wilson, James, Wojciechowski, Robert, Wong, Tien, Young, Terri, Stuart, Kelsey V., Biradar, Mahantesh I., Luben, Robert N., Dhaun, Neeraj, Wagner, Siegfried K., Warwick, Alasdair N., Madjedi, Kian M., Pasquale, Louis R., Wiggs, Janey L., Kang, Jae H., Lentjes, Marleen A.H., Foster, Paul J., and Khawaja, Anthony P.

Published
2024
Full Text
View/download PDF

10. Periodontitis and Outer Retinal Thickness: a Cross-Sectional Analysis of the United Kingdom Biobank Cohort

Author

Allen, Naomi, Aslam, Tariq, Atan, Denize, Balaskas, Konsantinos, Barman, Sarah A., Barrett, Jenny H., Bishop, Paul, Black, Graeme, Braithwaite, Tasanee, Carare, Roxana O., Chakravarthy, Usha, Chan, Michelle, Chua, Sharon Y.L., Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew D., Doney, Alexander, Egan, Cathy, Ennis, Sarah, Foster, Paul, Fruttiger, Marcus, Gallacher, John E.J., Garway-Heath, David F., Gibson, Jane, Guggenheim, Jeremy A., Hammond, Chris J., Hardcastle, Alison, Harding, Simon P., Hogg, Ruth E., Hysi, Pirro, Keane, Pearse A., Khaw, Sir Peng T., Khawaja, Anthony P., Lascaratos, Gerassimos, Littlejohns, Thoams, Lotery, Andrew J., Luben, Robert, Luthert, Phil, Macgillivray, Tom, Mackie, Sarah, McGuinness, Bernadette, McKay, Gareth J., McKibbin, Martin, Moore, Tony, Morgan, James E., O’Sullivan, Eoin, Oram, Richard, Owen, Chris G., Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Rahi, Jugnoo S., Rudnikca, Alicja R., Sattar, Naveed, Self, Jay, Sergouniotis, Panagiotis, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Sun, Zihan, Tapp, Robyn, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Vitart, Veronique, Viswanathan, Ananth C., Weedon, Mike, Williams, Cathy, Williams, Katie, Woodside, Jayne V., Yates, Max M., Yip, Jennifer, Zheng, Yalin, Wagner, Siegfried K., Patel, Praveen J., Huemer, Josef, Khalid, Hagar, Stuart, Kelsey V., Chu, Colin J., Williamson, Dominic J., Struyven, Robbert R., Romero-Bascones, David, Foster, Paul J., Balaskas, Konstantinos, Cortina-Borja, Mario, Chapple, Iain, Dietrich, Thomas, and Denniston, Alastair K.

Published
2024
Full Text
View/download PDF

11. Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department

Author

Fraser, Clare L., Micieli, Jonathan A., Costello, Fiona, Bénard-Séguin, Étienne, Yang, Hui, Chan, Carmen Kar Mun, Cheung, Carol Y, Chan, Noel CY, Hamann, Steffen, Gohier, Philippe, Vautier, Anaïs, Rougier, Marie-Bénédicte, Chiquet, Christophe, Vignal-Clermont, Catherine, Hage, Rabih, Khanna, Raoul Kanav, Tran, Thi Ha Chau, Lagrèze, Wolf Alexander, Jonas, Jost B, Ambika, Selvakumar, Fard, Masoud Aghsaei, La Morgia, Chiara, Carbonelli, Michele, Barboni, Piero, Carelli, Valerio, Romagnoli, Martina, Amore, Giulia, Nakamura, Makoto, Fumio, Takano, Petzold, Axel, Wenniger lj, Maillette de Buy, Kho, Richard, Fonseca, Pedro L., Bikbov, Mukharram M., Milea, Dan, Najjar, Raymond P, Ting, Daniel, Tang, Zhiqun, Loo, Jing Liang, Tow, Sharon, Singhal, Shweta, Vasseneix, Caroline, Wong, Tien Yin, Lamoureux, Ecosse, Yu Chen, Ching, Aung, Tin, Schmetterer, Leopold, Sanda, Nicolae, Thuman, Gabriele, Hwang, Jeong-Min, Vanikieti, Kavin, Suwan, Yanin, Padungkiatsagul, Tanyatuth, Yu-Wai-Man, Patrick, Jurkute, Neringa, Hong, Eun Hee, Biousse, Valerie, Newman, Nancy J., Peragallo, Jason H., Datillo, Michael, Kedar, Sachin, Lin, Mung Yan, Patil, Ajay, Aung, Andre, Boyko, Matthew, Alsakran, Wael Abdulraman, Zayani, Amani, Bouthour, Walid, Banc, Ana, Mosley, Rasha, Labella, Fernando, Miller, Neil R., Chen, John J., Mejico, Luis J., Kilangalanga, Janvier Ngoy, Biousse, Valérie, Najjar, Raymond P., Wright, David W., Keadey, Matthew T., Wong, Tien Y., and Bruce, Beau B.

Published
2024
Full Text
View/download PDF

12. Astrocytic outer retinal layer thinning is not a feature in AQP4-IgG seropositive neuromyelitis optica spectrum disorders

Author

Lu, Angelo, Zimmermann, Hanna G, Specovius, Svenja, Motamedi, Seyedamirhosein, Chien, Claudia, Bereuter, Charlotte, Lana-Peixoto, Marco A, Fontenelle, Mariana Andrade, Ashtari, Fereshteh, Kafieh, Rahele, Dehghani, Alireza, Pourazizi, Mohsen, Pandit, Lekha, D'Cunha, Anitha, Kim, Ho Jin, Hyun, Jae-Won, Jung, Su-Kyung, Leocani, Letizia, Pisa, Marco, Radaelli, Marta, Siritho, Sasitorn, May, Eugene F, Tongco, Caryl, De Sèze, Jérôme, Senger, Thomas, Palace, Jacqueline, Roca-Fernández, Adriana, Leite, Maria Isabel, Sharma, Srilakshmi M, Stiebel-Kalish, Hadas, Asgari, Nasrin, Soelberg, Kerstin Kathrine, Martinez-Lapiscina, Elena H, Havla, Joachim, Mao-Draayer, Yang, Rimler, Zoe, Reid, Allyson, Marignier, Romain, Cobo-Calvo, Alvaro, Altintas, Ayse, Tanriverdi, Uygur, Yildirim, Rengin, Aktas, Orhan, Ringelstein, Marius, Albrecht, Philipp, Tavares, Ivan Maynart, Bichuetti, Denis Bernardi, Jacob, Anu, Huda, Saif, de Castillo, Ibis Soto, Petzold, Axel, Green, Ari J, Yeaman, Michael R, Smith, Terry J, Cook, Lawrence, Paul, Friedemann, Brandt, Alexander U, and Oertel, Frederike Cosima

Subjects
Eye Disease and Disorders of Vision, Brain Disorders, Neurosciences, Neurodegenerative, Adult, Aquaporin 4, Astrocytes, Autoantibodies, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Neuromyelitis Optica, Retina, Tomography, Optical Coherence, vision, clinical neurology, ophthalmology, GJCF International Clinical Consortium for NMOSD, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract

BackgroundPatients with anti-aquaporin-4 antibody seropositive (AQP4-IgG+) neuromyelitis optica spectrum disorders (NMOSDs) frequently suffer from optic neuritis (ON) leading to severe retinal neuroaxonal damage. Further, the relationship of this retinal damage to a primary astrocytopathy in NMOSD is uncertain. Primary astrocytopathy has been suggested to cause ON-independent retinal damage and contribute to changes particularly in the outer plexiform layer (OPL) and outer nuclear layer (ONL), as reported in some earlier studies. However, these were limited in their sample size and contradictory as to the localisation. This study assesses outer retinal layer changes using optical coherence tomography (OCT) in a multicentre cross-sectional cohort.Method197 patients who were AQP4-IgG+ and 32 myelin-oligodendrocyte-glycoprotein antibody seropositive (MOG-IgG+) patients were enrolled in this study along with 75 healthy controls. Participants underwent neurological examination and OCT with central postprocessing conducted at a single site.ResultsNo significant thinning of OPL (25.02±2.03 µm) or ONL (61.63±7.04 µm) were observed in patients who were AQP4-IgG+ compared with patients who were MOG-IgG+ with comparable neuroaxonal damage (OPL: 25.10±2.00 µm; ONL: 64.71±7.87 µm) or healthy controls (OPL: 24.58±1.64 µm; ONL: 63.59±5.78 µm). Eyes of patients who were AQP4-IgG+ (19.84±5.09 µm, p=0.027) and MOG-IgG+ (19.82±4.78 µm, p=0.004) with a history of ON showed parafoveal OPL thinning compared with healthy controls (20.99±5.14 µm); this was not observed elsewhere.ConclusionThe results suggest that outer retinal layer loss is not a consistent component of retinal astrocytic damage in AQP4-IgG+ NMOSD. Longitudinal studies are necessary to determine if OPL and ONL are damaged in late disease due to retrograde trans-synaptic axonal degeneration and whether outer retinal dysfunction occurs despite any measurable structural correlates.

Published
2022

13. Associations between unilateral amblyopia in childhood and cardiometabolic disorders in adult life: a cross-sectional and longitudinal analysis of the UK Biobank

Author

Allen, Naomi, Aslam, Tariq, Atan, Denize, Balaskas, Konstantinos, Barman, Sarah, Barrett, Jenny, Bishop, Paul, Black, Graeme, Braithwaite, Tasanee, Carare, Roxana, Chakravarthy, Usha, Chan, Michelle, Chua, Sharon, Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew, Doney, Alexander, Egan, Cathy, Ennis, Sarah, Foster, Paul, Fruttiger, Marcus, Gallacher, John, Garway-heath, David (Ted), Gibson, Jane, Guggenheim, Jeremy, Hammond, Chris, Hardcastle, Alison, Harding, Simon, Hogg, Ruth, Hysi, Pirro, Keane, Pearse, Tee Khaw, Sir Peng, Khawaja, Anthony, Lascaratos, Gerassimos, Littlejohns, Thomas, Lotery, Andrew, Luben, Robert, Luthert, Phil, Macgillivray, Tom, Mackie, Sarah, Madhusudhan, Savita, Mcguinness, Bernadette, Mckay, Gareth, Mckibbin, Martin, Moore, Tony, Morgan, James, O'sullivan, Eoin, Oram, Richard, Owen, Chris, Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Pontikos, Nikolas, Rahi, Jugnoo, Rudnicka, Alicja, Sattar, Naveed, Self, Jay, Sergouniotis, Panagiotis, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Sun, Zihan, Tapp, Robyn, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Viswanathan, Ananth, Vitart, Veronique, Weedon, Mike, Williams, Katie, Williams, Cathy, Woodside, Jayne, Yates, Max, Zheng, Yalin, Thomas, Mervyn, Wagner, Siegfried Karl, Bountziouka, Vasiliki, and Rahi, Jugnoo Sangeeta

Published
2024
Full Text
View/download PDF

14. The BONSAI (Brain and Optic Nerve Study with Artificial Intelligence) deep learning system can accurately identify pediatric papilledema on standard ocular fundus photographs

Author

Fraser, Clare L., Micieli, Jonathan A., Costello, Fiona, Étienne Bénard-Séguin, Yang, Hui, Mun Chan, Carmen Kar, Cheung, Carol Y., Chan, Noel CY., Hamann, Steffen, Gohier, Philippe, Vautier, Anaïs, Rougier, Marie-Bénédicte, Chiquet, Christophe, Vignal-Clermont, Catherine, Hage, Rabih, Khanna, Raoul Kanav, Chau Tran, Thi Ha, Lagrèze, Wolf Alexander, Jonas, Jost B., Ambika, Selvakumar, Fard, Masoud Aghsaei, La Morgia, Chiara, Carbonelli, Michele, Barboni, Piero, Carelli, Valerio, Romagnoli, Martina, Amore, Giulia, Nakamura, Makoto, Fumio, Takano, Petzold, Axel, de Buy Wenniger L.J., Maillette, Kho, Richard, Fonseca, Pedro L., Bikbov, Mukharram M., Milea, Dan, Najjar, Raymond P., Ting, Daniel, Tang, Zhiqun, Loo, Jing Liang, Tow, Sharon, Singhal, Shweta, Vasseneix, Caroline, Wong, Tien Yin, Lamoureux, Ecosse, Chen, Ching Yu, Aung, Tin, Schmetterer, Leopold, Sanda, Nicolae, Thuman, Gabriele, Hwang, Jeong-Min, Vanikieti, Kavin, Suwan, Yanin, Padungkiatsagul, Tanyatuth, Yu-Wai-Man, Patrick, Jurkute, Neringa, Hong, Eun Hee, Biousse, Valerie, Newman, Nancy J., Peragallo, Jason H., Datillo, Michael, Kedar, Sachin, Lin, Mung Yan, Patil, Ajay, Aung, Andre, Boyko, Matthew, Alsakran, Wael Abdulraman, Zayani, Amani, Bouthour, Walid, Banc, Ana, Mosley, Rasha, Labella, Fernando, Miller, Neil R., Chen, John J., Mejico, Luis J., Kilangalanga, Janvier Ngoy, Cioplean, Daniela, Dragomir, Mihaela, Chia, Audrey, and Biousse, Valérie

Published
2024
Full Text
View/download PDF

16. Optical coherence tomography in multiple sclerosis: A 3‐year prospective multicenter study

Author

Paul, Friedemann, Calabresi, Peter A, Barkhof, Frederik, Green, Ari J, Kardon, Randy, Sastre‐Garriga, Jaume, Schippling, Sven, Vermersch, Patrick, Saidha, Shiv, Gerendas, Bianca S, Schmidt‐Erfurth, Ursula, Agoropoulou, Catherine, Zhang, Ying, Seifer, Gustavo, and Petzold, Axel

Subjects
Clinical Research, Biomedical Imaging, Multiple Sclerosis, Neurosciences, Autoimmune Disease, Eye Disease and Disorders of Vision, Brain Disorders, Neurodegenerative, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, Eye, Neurological, Adult, Atrophy, Brain, Female, Humans, Male, Middle Aged, Multiple Sclerosis, Relapsing-Remitting, Prospective Studies, Retina, Tomography, Optical Coherence, Clinical Sciences
Abstract

ObjectiveTo evaluate changes over 3 years in the thickness of inner retinal layers including the peripapillary retinal nerve fiber layer (pRNFL), and combined macular ganglion cell and inner plexiform layers (mGCIPL), in individuals with relapsing-remitting multiple sclerosis (RRMS) versus healthy controls; to determine whether optical coherence tomography (OCT) is sufficiently sensitive and reproducible to detect small degrees of neuroaxonal loss over time that correlate with changes in brain volume and disability progression as measured by the Expanded Disability Status Scale (EDSS).MethodsIndividuals with RRMS from 28 centers (n = 333) were matched with 64 healthy participants. OCT scans were performed on Heidelberg Spectralis machines (at baseline; 1 month; 6 months; 6-monthly thereafter).ResultsOCT measurements were highly reproducible between baseline and 1 month (intraclass correlation coefficient >0.98). Significant inner retinal layer thinning was observed in individuals with multiple sclerosis (MS) compared with controls regardless of previous MS-associated optic neuritis--group differences (95% CI) over 3 years: pRNFL: -1.86 (-2.54, -1.17) µm; mGCIPL: -2.03 (-2.78, -1.28) µm (both p 5 years (pRNFL: p

Published
2021

17. Retinal Optical Coherence Tomography in Neuromyelitis Optica.

Author

Oertel, Frederike, Specovius, Svenja, Zimmermann, Hanna, Chien, Claudia, Motamedi, Seyedamirhosein, Bereuter, Charlotte, Cook, Lawrence, Lana Peixoto, Marco, Fontanelle, Mariana, Kim, Ho, Hyun, Jae-Won, Palace, Jacqueline, Roca-Fernandez, Adriana, Leite, Maria, Sharma, Srilakshmi, Ashtari, Fereshteh, Kafieh, Rahele, Dehghani, Alireza, Pourazizi, Mohsen, Pandit, Lekha, DCunha, Anitha, Aktas, Orhan, Ringelstein, Marius, Albrecht, Philipp, May, Eugene, Tongco, Caryl, Leocani, Letizia, Pisa, Marco, Radaelli, Marta, Martinez-Lapiscina, Elena, Stiebel-Kalish, Hadas, Siritho, Sasitorn, de Seze, Jérome, Senger, Thomas, Havla, Joachim, Marignier, Romain, Cobo-Calvo, Alvaro, Bichuetti, Denis, Tavares, Ivan, Asgari, Nasrin, Soelberg, Kerstin, Altintas, Ayse, Yildirim, Rengin, Tanriverdi, Uygur, Jacob, Anu, Huda, Saif, Rimler, Zoe, Reid, Allyson, Mao-Draayer, Yang, Soto de Castillo, Ibis, Petzold, Axel, Green, Ari, Yeaman, Michael, Smith, Terry, Brandt, Alexander, and Paul, Friedemann

Subjects
Adult, Aquaporin 4, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Neuromyelitis Optica, Optic Neuritis, Retinal Neurons, Retrospective Studies, Tomography, Optical Coherence, Young Adult
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.

Published
2021

18. Artificial intelligence extension of the OSCAR-IB criteria.

Author

Petzold, Axel, Albrecht, Philipp, Balcer, Laura, Bekkers, Erik, Brandt, Alexander U, Calabresi, Peter A, Deborah, Orla Galvin, Graves, Jennifer S, Green, Ari, Keane, Pearse A, Nij Bijvank, Jenny A, Sander, Josemir W, Paul, Friedemann, Saidha, Shiv, Villoslada, Pablo, Wagner, Siegfried K, Yeh, E Ann, and IMSVISUAL, ERN-EYE Consortium

Subjects
IMSVISUAL, ERN-EYE Consortium, Clinical Sciences, Neurosciences
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

19. The Association of Alcohol Consumption with Glaucoma and Related Traits: Findings from the UK Biobank

Author

Aschard, Hugues, Chia, Mark, Chua, Sharon, Do, Ron, Foster, Paul, Kang, Jae, Kastner, Alan, Khawaja, Anthony, Kim, Jihye, Lentjes, Marleen, Luben, Robert, Madjedi, Kian, Montesano, Giovanni, Pasquale, Louis, Stuart, Kelsey, Warwick, Alasdair, Wiggs, Janey, Allen, Naomi, Aslam, Tariq, Atan, Denize, Barman, Sarah, Barrett, Jenny, Bishop, Paul, Black, Graeme, Braithwaite, Tasanee, Carare, Roxana, Chakravarthy, Usha, Chan, Michelle, Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew, Doney, Alexander, Egan, Cathy, Ennis, Sarah, Fruttiger, Marcus, Gallacher, John, Garway-Heath, David (Ted), Gibson, Jane, Guggenheim, Jeremy, Hammond, Chris, Hardcastle, Alison, Harding, Simon, Hogg, Ruth, Hysi, Pirro, Keane, Pearse, Khaw, Peng Tee, Lascaratos, Gerassimos, Littlejohns, Thomas, Lotery, Andrew, Luthert, Phil, MacGillivray, Tom, Mackie, Sarah, McGuinness, Bernadette, McKay, Gareth, McKibbin, Martin, Moore, Tony, Morgan, James, O'Sullivan, Eoin, Oram, Richard, Owen, Chris, Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Pontikos, Nikolas, Rahi, Jugnoo, Rudnicka, Alicja, Sattar, Naveed, Self, Jay, Sergouniotis, Panagiotis, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Sun, Zihan, Tapp, Robyn, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Viswanathan, Ananth, Vitart, Veronique, Weedon, Mike, Williams, Katie, Williams, Cathy, Woodside, Jayne, Yates, Max, Yip, Jennifer, Zheng, Yalin, Aung, Tin, Burdon, Kathryn, Chen, Li, Cheng, Ching-Yu, Craig, Jamie, Cree, Angela, de Vries, Victor, Driessen, Sjoerd, Fingert, John, Gharahkhani, Puya, Hammond, Christopher, Hayward, Caroline, Hewitt, Alex, Jansonius, Nomdo, Jonansson, Fridbert, Jonas, Jost, Kass, Michael, Khor, Chiea, Klaver, Caroline, Koh, Jacyline, MacGregor, Stuart, Mackey, David, Mitchell, Paul, Pang, Calvin, Pasutto, Francesca, Pfeiffer, Norbert, Polašek, Ozren, Ramdas, Wishal, Schuster, Alexander, Segrè, Ayellet, Stefansson, Einer, Stefánsson, Kári, Thorleifsson, Gudmar, Thorsteinsdottir, Unnur, van Duijn, Cornelia, Vergroesen, Joëlle, Vithana, Eranga, Wilson, James, Wojciechowski, Robert, Wong, Tien, Young, Terri, Stuart, Kelsey V., Luben, Robert N., Warwick, Alasdair N., Madjedi, Kian M., Patel, Praveen J., Biradar, Mahantesh I., Chia, Mark A., Pasquale, Louis R., Wiggs, Janey L., Kang, Jae H., Tran, Jessica H., Lentjes, Marleen A.H., Foster, Paul J., and Khawaja, Anthony P.

Published
2023
Full Text
View/download PDF

20. A new polygenic score for refractive error improves detection of children at risk of high myopia but not the prediction of those at risk of myopic macular degeneration

Author

Bailey-Wilson, Joan E., Baird, Paul N., Barathi, Veluchamy A., Biino, Ginevra, Burdon, Kathryn P., Campbell, Harry, Chen, Li Jia, Cheng, Ching-Yu, Chew, Emily Y., Craig, Jamie E., Deangelis, Margaret M., Delcourt, Cécile, Ding, Xiaohu, Fan, Qiao, Fossarello, Maurizio, Foster, Paul J., Gharahkhani, Puya, Guggenheim, Jeremy A., Guo, Xiaobo, Haarman, Annechien E.G., Haller, Toomas, Hammond, Christopher J., Han, Xikun, Hayward, Caroline, He, Mingguang, Hewitt, Alex W., Hoang, Quan, Hysi, Pirro G., Iglesias, Adriana I., Igo, Robert P., Iyengar, Sudha K., Jonas, Jost B., Kähönen, Mika, Kaprio, Jaakko, Khawaja, Anthony P., Klein, Barbara E., Lass, Jonathan H., Lee, Kris, Lehtimäki, Terho, Lewis, Deyana, Li, Qing, Li, Shi-Ming, Lyytikäinen, Leo-Pekka, MacGregor, Stuart, Mackey, David A., Martin, Nicholas G., Meguro, Akira, Metspalu, Andres, Middlebrooks, Candace, Miyake, Masahiro, Mizuki, Nobuhisa, Musolf, Anthony, Nickels, Stefan, Oexle, Konrad, Pang, Chi Pui, Pärssinen, Olavi, Paterson, Andrew D., Pfeiffer, Norbert, Polasek, Ozren, Rahi, Jugnoo S., Raitakari, Olli, Rudan, Igor, Sahebjada, Srujana, Saw, Seang-Mei, Simpson, Claire L., Stambolian, Dwight, Tai, E-Shyong, Tedja, Milly S., Tideman, J. Willem L., Tsujikawa, Akitaka, van Duijn, Cornelia M., Verhoeven, Virginie J.M., Vitart, Veronique, Wang, Ningli, Wang, Ya Xing, Wedenoja, Juho, Wei, Wen Bin, Williams, Cathy, Williams, Katie M., Wilson, James F., Wojciechowski, Robert, Yam, Jason C.S., Yamashiro, Kenji, Yap, Maurice K.H., Yazar, Seyhan, Yip, Shea Ping, Young, Terri L., Zhou, Xiangtian, Allen, Naomi, Aslam, Tariq, Atan, Denize, Barman, Sarah, Barrett, Jenny, Bishop, Paul, Black, Graeme, Bunce, Catey, Carare, Roxana, Chakravarthy, Usha, Chan, Michelle, Chua, Sharon, Cipriani, Valentina, Day, Alexander, Desai, Parul, Dhillon, Bal, Dick, Andrew, Doney, Alexander, Egan, Cathy, Ennis, Sarah, Foster, Paul, Fruttiger, Marcus, Gallacher, John, Garway-Heath, David, Gibson, Jane, Gore, Dan, Guggenheim, Jeremy, Hammond, Chris, Hardcastle, Alison, Harding, Simon, Hogg, Ruth, Hysi, Pirro, Keane, Pearse A., Khaw, Peng Tee, Khawaja, Anthony, Lascaratos, Gerassimos, Littlejohns, Thomas, Lotery, Andrew, Luthert, Phil, MacGillivray, Tom, Mackie, Sarah, McGuinness, Bernadette, McKay, Gareth, McKibbin, Martin, Mitry, Danny, Moore, Tony, Morgan, James, Muthy, Zaynah, O'Sullivan, Eoin, Owen, Chris, Patel, Praveen, Paterson, Euan, Peto, Tunde, Petzold, Axel, Pontikos, Nikolas, Rahi, Jugnoo, Rudnicka, Alicja, Self, Jay, Sergouniotis, Panagiotis, Sivaprasad, Sobha, Steel, David, Stratton, Irene, Strouthidis, Nicholas, Sudlow, Cathie, Tapp, Robyn, Thaung, Caroline, Thomas, Dhanes, Trucco, Emanuele, Tufail, Adnan, Vernon, Stephen, Viswanathan, Ananth, Williams, Katie, Woodside, Jayne, Yates, Max, Yip, Jennifer, Zheng, Yalin, Clark, Rosie, Lee, Samantha Sze-Yee, Du, Ran, Wang, Yining, Kneepkens, Sander C.M., Charng, Jason, Huang, Yu, Hunter, Michael L., Jiang, Chen, Tideman, J.Willem L., Melles, Ronald B., Klaver, Caroline C.W., Choquet, Hélène, and Ohno-Matsui, Kyoko

Published
2023
Full Text
View/download PDF

22. Application of a Deep Learning System to Detect Papilledema on Nonmydriatic Ocular Fundus Photographs in an Emergency Department

Author

Biousse, Valérie, primary, Najjar, Raymond P., additional, Tang, Zhiqun, additional, Lin, Mung Yan, additional, Wright, David W., additional, Keadey, Matthew T., additional, Wong, Tien Y., additional, Bruce, Beau B., additional, Milea, Dan, additional, Newman, Nancy J., additional, Fraser, Clare L., additional, Micieli, Jonathan A., additional, Costello, Fiona, additional, Bénard-Séguin, Étienne, additional, Yang, Hui, additional, Chan, Carmen Kar Mun, additional, Cheung, Carol Y, additional, Chan, Noel CY, additional, Hamann, Steffen, additional, Gohier, Philippe, additional, Vautier, Anaïs, additional, Rougier, Marie-Bénédicte, additional, Chiquet, Christophe, additional, Vignal-Clermont, Catherine, additional, Hage, Rabih, additional, Khanna, Raoul Kanav, additional, Tran, Thi Ha Chau, additional, Lagrèze, Wolf Alexander, additional, Jonas, Jost B, additional, Ambika, Selvakumar, additional, Fard, Masoud Aghsaei, additional, La Morgia, Chiara, additional, Carbonelli, Michele, additional, Barboni, Piero, additional, Carelli, Valerio, additional, Romagnoli, Martina, additional, Amore, Giulia, additional, Nakamura, Makoto, additional, Fumio, Takano, additional, Petzold, Axel, additional, Wenniger lj, Maillette de Buy, additional, Kho, Richard, additional, Fonseca, Pedro L., additional, Bikbov, Mukharram M., additional, Najjar, Raymond P, additional, Ting, Daniel, additional, Loo, Jing Liang, additional, Tow, Sharon, additional, Singhal, Shweta, additional, Vasseneix, Caroline, additional, Wong, Tien Yin, additional, Lamoureux, Ecosse, additional, Yu Chen, Ching, additional, Aung, Tin, additional, Schmetterer, Leopold, additional, Sanda, Nicolae, additional, Thuman, Gabriele, additional, Hwang, Jeong-Min, additional, Vanikieti, Kavin, additional, Suwan, Yanin, additional, Padungkiatsagul, Tanyatuth, additional, Yu-Wai-Man, Patrick, additional, Jurkute, Neringa, additional, Hong, Eun Hee, additional, Biousse, Valerie, additional, Peragallo, Jason H., additional, Datillo, Michael, additional, Kedar, Sachin, additional, Patil, Ajay, additional, Aung, Andre, additional, Boyko, Matthew, additional, Alsakran, Wael Abdulraman, additional, Zayani, Amani, additional, Bouthour, Walid, additional, Banc, Ana, additional, Mosley, Rasha, additional, Labella, Fernando, additional, Miller, Neil R., additional, Chen, John J., additional, Mejico, Luis J., additional, and Kilangalanga, Janvier Ngoy, additional

Published
2024
Full Text
View/download PDF

23. The Association of Urinary Sodium Excretion with Glaucoma and Related Traits in a Large United Kingdom Population

Author

Stuart, Kelsey V., primary, Biradar, Mahantesh I., additional, Luben, Robert N., additional, Dhaun, Neeraj, additional, Wagner, Siegfried K., additional, Warwick, Alasdair N., additional, Sun, Zihan, additional, Madjedi, Kian M., additional, Pasquale, Louis R., additional, Wiggs, Janey L., additional, Kang, Jae H., additional, Lentjes, Marleen A.H., additional, Aschard, Hugues, additional, Kim, Jihye, additional, Foster, Paul J., additional, Khawaja, Anthony P., additional, Chia, Mark, additional, Chua, Sharon, additional, Do, Ron, additional, Foster, Paul, additional, Kang, Jae, additional, Kastner, Alan, additional, Khawaja, Anthony, additional, Lentjes, Marleen, additional, Luben, Robert, additional, Madjedi, Kian, additional, Montesano, Giovanni, additional, Pasquale, Louis, additional, Stuart, Kelsey, additional, Warwick, Alasdair, additional, Wiggs, Janey, additional, Allen, Naomi, additional, Aslam, Tariq, additional, Atan, Denize, additional, Barman, Sarah, additional, Barrett, Jenny, additional, Bishop, Paul, additional, Black, Graeme, additional, Braithwaite, Tasanee, additional, Carare, Roxana, additional, Chakravarthy, Usha, additional, Chan, Michelle, additional, Day, Alexander, additional, Desai, Parul, additional, Dhillon, Bal, additional, Dick, Andrew, additional, Doney, Alexander, additional, Egan, Cathy, additional, Ennis, Sarah, additional, Fruttiger, Marcus, additional, Garway-Heath, David (Ted), additional, Gibson, Jane, additional, Guggenheim, Jeremy, additional, Hammond, Chris, additional, Hardcastle, Alison, additional, Harding, Simon, additional, Hogg, Ruth, additional, Hysi, Pirro, additional, Keane, Pearse, additional, Khaw, Peng Tee, additional, Lascaratos, Gerassimos, additional, Littlejohns, Thomas, additional, Lotery, Andrew, additional, Luthert, Phil, additional, MacGillivray, Tom, additional, Mackie, Sarah, additional, McGuinness, Bernadette, additional, McKay, Gareth, additional, McKibbin, Martin, additional, Moore, Tony, additional, Morgan, James, additional, O'Sullivan, Eoin, additional, Oram, Richard, additional, Owen, Chris, additional, Patel, Praveen, additional, Paterson, Euan, additional, Peto, Tunde, additional, Petzold, Axel, additional, Pontikos, Nikolas, additional, Rahi, Jugnoo, additional, Rudnicka, Alicja, additional, Sattar, Naveed, additional, Self, Jay, additional, Sergouniotis, Panagiotis, additional, Sivaprasad, Sobha, additional, Steel, David, additional, Stratton, Irene, additional, Strouthidis, Nicholas, additional, Sudlow, Cathie, additional, Tapp, Robyn, additional, Thomas, Dhanes, additional, Trucco, Emanuele, additional, Tufail, Adnan, additional, Viswanathan, Ananth, additional, Vitart, Veronique, additional, Weedon, Mike, additional, Williams, Katie, additional, Williams, Cathy, additional, Woodside, Jayne, additional, Yates, Max, additional, Yip, Jennifer, additional, Zheng, Yalin, additional, Aung, Tin, additional, Burdon, Kathryn, additional, Chen, Li, additional, Cheng, Ching-Yu, additional, Craig, Jamie, additional, Cree, Angela, additional, de Vries, Victor, additional, Driessen, Sjoerd, additional, Fingert, John, additional, Gharahkhani, Puya, additional, Hammond, Christopher, additional, Hayward, Caroline, additional, Hewitt, Alex, additional, Jansonius, Nomdo, additional, Jonansson, Fridbert, additional, Jonas, Jost, additional, Kass, Michael, additional, Khor, Chiea, additional, Klaver, Caroline, additional, Koh, Jacyline, additional, MacGregor, Stuart, additional, Mackey, David, additional, Mitchell, Paul, additional, Pang, Calvin, additional, Pasutto, Francesca, additional, Pfeiffer, Norbert, additional, Polašek, Ozren, additional, Ramdas, Wishal, additional, Schuster, Alexander, additional, Segrè, Ayellet, additional, Stefansson, Einer, additional, Stefánsson, Kári, additional, Thorleifsson, Gudmar, additional, Thorsteinsdottir, Unnur, additional, van Duijn, Cornelia, additional, Vergroesen, Joëlle, additional, Vithana, Eranga, additional, Wilson, James, additional, Wojciechowski, Robert, additional, Wong, Tien, additional, and Young, Terri, additional

Published
2024
Full Text
View/download PDF

25. Diagnosis and classification of optic neuritis

Author

Petzold, Axel, Fraser, Clare L, Abegg, Mathias, Alroughani, Raed, Alshowaeir, Daniah, Alvarenga, Regina, Andris, Cécile, Asgari, Nasrin, Barnett, Yael, Battistella, Roberto, Behbehani, Raed, Berger, Thomas, Bikbov, Mukharram M, Biotti, Damien, Biousse, Valerie, Boschi, Antonella, Brazdil, Milan, Brezhnev, Andrei, Calabresi, Peter A, Cordonnier, Monique, Costello, Fiona, Cruz, Franz M, Cunha, Leonardo Provetti, Daoudi, Smail, Deschamps, Romain, de Seze, Jerome, Diem, Ricarda, Etemadifar, Masoud, Flores-Rivera, Jose, Fonseca, Pedro, Frederiksen, Jette, Frohman, Elliot, Frohman, Teresa, Tilikete, Caroline Froment, Fujihara, Kazuo, Gálvez, Alberto, Gouider, Riadh, Gracia, Fernando, Grigoriadis, Nikolaos, Guajardo, José M, Habek, Mario, Hawlina, Marko, Martínez-Lapiscina, Elena H, Hooker, Juzar, Hor, Jyh Yung, Howlett, William, Huang-Link, Yumin, Idrissova, Zhannat, Illes, Zsolt, Jancic, Jasna, Jindahra, Panitha, Karussis, Dimitrios, Kerty, Emilia, Kim, Ho Jin, Lagrèze, Wolf, Leocani, Letizia, Levin, Netta, Liskova, Petra, Liu, Yaou, Maiga, Youssoufa, Marignier, Romain, McGuigan, Chris, Meira, Dália, Merle, Harold, Monteiro, Mário L R, Moodley, Anand, Moura, Frederico, Muñoz, Silvia, Mustafa, Sharik, Nakashima, Ichiro, Noval, Susana, Oehninger, Carlos, Ogun, Olufunmilola, Omoti, Afekhide, Pandit, Lekha, Paul, Friedemann, Rebolleda, Gema, Reddel, Stephen, Rejdak, Konrad, Rejdak, Robert, Rodriguez-Morales, Alfonso J, Rougier, Marie-Bénédicte, Sa, Maria Jose, Sanchez-Dalmau, Bernardo, Saylor, Deanna, Shatriah, Ismail, Siva, Aksel, Stiebel-Kalish, Hadas, Szatmary, Gabriella, Ta, Linh, Tenembaum, Silvia, Tran, Huy, Trufanov, Yevgen, van Pesch, Vincent, Wang, An-Guor, Wattjes, Mike P, Willoughby, Ernest, Zakaria, Magd, Zvornicanin, Jasmin, Balcer, Laura, and Plant, Gordon T

Published
2022
Full Text
View/download PDF

28. Individual Prognostication of Disease Activity and Disability Worsening in Multiple Sclerosis With Retinal Layer Thickness z Scores.

Author

Ting-Yi Lin, Motamedi, Seyedamirhosein, Asseyer, Susanna, Chien, Claudia, Saidha, Shiv, Calabresi, Peter A., Fitzgerald, Kathryn C., Samadzadeh, Sara, Villoslada, Pablo, Llufriu, Sara, Green, Ari J., Lizrova Preiningerova, Jana, Petzold, Axel, Leocani, Letizia, Garcia-Martin, Elena, Oreja-Guevara, Celia, Outteryck, Olivier, Vermersch, Patrick, Balcer, Laura J., and Kenney, Rachel

Published
2024
Full Text
View/download PDF

29. Multicenter reliability of semiautomatic retinal layer segmentation using OCT

Author

Oberwahrenbrock, Timm, Traber, Ghislaine L, Lukas, Sebastian, Gabilondo, Iñigo, Nolan, Rachel, Songster, Christopher, Balk, Lisanne, Petzold, Axel, Paul, Friedemann, Villoslada, Pablo, Brandt, Alexander U, Green, Ari J, and Schippling, Sven

Subjects
Biomedical and Clinical Sciences, Ophthalmology and Optometry, Biomedical Imaging, Clinical Research, Eye Disease and Disorders of Vision, Neurodegenerative, Neurosciences, Eye
Abstract

ObjectiveTo evaluate the inter-rater reliability of semiautomated segmentation of spectral domain optical coherence tomography (OCT) macular volume scans.MethodsMacular OCT volume scans of left eyes from 17 subjects (8 patients with MS and 9 healthy controls) were automatically segmented by Heidelberg Eye Explorer (v1.9.3.0) beta-software (Spectralis Viewing Module v6.0.0.7), followed by manual correction by 5 experienced operators from 5 different academic centers. The mean thicknesses within a 6-mm area around the fovea were computed for the retinal nerve fiber layer, ganglion cell layer (GCL), inner plexiform layer (IPL), inner nuclear layer, outer plexiform layer (OPL), and outer nuclear layer (ONL). Intraclass correlation coefficients (ICCs) were calculated for mean layer thickness values. Spatial distribution of ICC values for the segmented volume scans was investigated using heat maps.ResultsAgreement between raters was good (ICC > 0.84) for all retinal layers, particularly inner retinal layers showed excellent agreement across raters (ICC > 0.96). Spatial distribution of ICC showed highest values in the perimacular area, whereas the ICCs were poorer for the foveola and the more peripheral macular area. The automated segmentation of the OPL and ONL required the most correction and showed the least agreement, whereas differences were less prominent for the remaining layers.ConclusionsAutomated segmentation with manual correction of macular OCT scans is highly reliable when performed by experienced raters and can thus be applied in multicenter settings. Reliability can be improved by restricting analysis to the perimacular area and compound segmentation of GCL and IPL.

Published
2018

30. Normative Data and Conversion Equation for Spectral-Domain Optical Coherence Tomography in an International Healthy Control Cohort

Author

Kenney, Rachel, Liu, Mengling, Hasanaj, Lisena, Joseph, Binu, Al-Hassan, Abdullah A., Balk, Lisanne, Behbehani, Raed, Brandt, Alexander U., Calabresi, Peter A., Frohman, Elliot M., Frohman, Teresa, Havla, Joachim, Hemmer, Bernhard, Jiang, Hong, Knier, Benjamin, Korn, Thomas, Leocani, Letizia, Martínez-Lapiscina, Elena H., Papadopoulou, Athina, Paul, Friedemann, Petzold, Axel, Pisa, Marco, Villoslada, Pablo, Zimmermann, Hanna, Ishikawa, Hiroshi, Schuman, Joel S., Wollstein, Gadi, Chen, Yu, Saidha, Shiv, Thorpe, Lorna E., Galetta, Steven L., and Balcer, Laura J.

Published
2022
Full Text
View/download PDF

32. Associations between unilateral amblyopia in childhood and cardiometabolic disorders in adult life: a cross-sectional and longitudinal analysis of the UK Biobank

Author

Wagner, Siegfried Karl, primary, Bountziouka, Vasiliki, additional, Hysi, Pirro, additional, Rahi, Jugnoo Sangeeta, additional, Allen, Naomi, additional, Aslam, Tariq, additional, Atan, Denize, additional, Balaskas, Konstantinos, additional, Barman, Sarah, additional, Barrett, Jenny, additional, Bishop, Paul, additional, Black, Graeme, additional, Braithwaite, Tasanee, additional, Carare, Roxana, additional, Chakravarthy, Usha, additional, Chan, Michelle, additional, Chua, Sharon, additional, Day, Alexander, additional, Desai, Parul, additional, Dhillon, Bal, additional, Dick, Andrew, additional, Doney, Alexander, additional, Egan, Cathy, additional, Ennis, Sarah, additional, Foster, Paul, additional, Fruttiger, Marcus, additional, Gallacher, John, additional, Garway-heath, David (Ted), additional, Gibson, Jane, additional, Guggenheim, Jeremy, additional, Hammond, Chris, additional, Hardcastle, Alison, additional, Harding, Simon, additional, Hogg, Ruth, additional, Keane, Pearse, additional, Tee Khaw, Sir Peng, additional, Khawaja, Anthony, additional, Lascaratos, Gerassimos, additional, Littlejohns, Thomas, additional, Lotery, Andrew, additional, Luben, Robert, additional, Luthert, Phil, additional, Macgillivray, Tom, additional, Mackie, Sarah, additional, Madhusudhan, Savita, additional, Mcguinness, Bernadette, additional, Mckay, Gareth, additional, Mckibbin, Martin, additional, Moore, Tony, additional, Morgan, James, additional, O'sullivan, Eoin, additional, Oram, Richard, additional, Owen, Chris, additional, Patel, Praveen, additional, Paterson, Euan, additional, Peto, Tunde, additional, Petzold, Axel, additional, Pontikos, Nikolas, additional, Rahi, Jugnoo, additional, Rudnicka, Alicja, additional, Sattar, Naveed, additional, Self, Jay, additional, Sergouniotis, Panagiotis, additional, Sivaprasad, Sobha, additional, Steel, David, additional, Stratton, Irene, additional, Strouthidis, Nicholas, additional, Sudlow, Cathie, additional, Sun, Zihan, additional, Tapp, Robyn, additional, Thomas, Dhanes, additional, Trucco, Emanuele, additional, Tufail, Adnan, additional, Viswanathan, Ananth, additional, Vitart, Veronique, additional, Weedon, Mike, additional, Williams, Katie, additional, Williams, Cathy, additional, Woodside, Jayne, additional, Yates, Max, additional, Zheng, Yalin, additional, and Thomas, Mervyn, additional

Published
2024
Full Text
View/download PDF

33. OP-09 Structural correlations between brain magnetic resonance image-derived phenotypes and retinal neuroanatomy

Author

Sun, Zihan, primary, Zhang, Bing, additional, Smith, Stephen, additional, Atan, Denize, additional, Khawaja, Anthony P, additional, Stuart, Kelsey V, additional, Luben, Robert N, additional, Biradar, Mahantesh I, additional, McGillivray, Thomas, additional, Patel, Praveen J, additional, Khaw, Peng T, additional, Petzold, Axel, additional, and Foster, Paul J, additional

Published
2024
Full Text
View/download PDF

34. OCT and Multiple Sclerosis

Author

Hanson, James V. M., Wicki, Carla A., Manogaran, Praveena, Petzold, Axel, Schippling, Sven, Grzybowski, Andrzej, editor, and Barboni, Piero, editor

Published
2020
Full Text
View/download PDF

35. Myelin-oligodendrocyte glycoprotein antibody-associated disease

Author

Marignier, Romain, Hacohen, Yael, Cobo-Calvo, Alvaro, Pröbstel, Anne-Katrin, Aktas, Orhan, Alexopoulos, Harry, Amato, Maria-Pia, Asgari, Nasrin, Banwell, Brenda, Bennett, Jeffrey, Brilot, Fabienne, Capobianco, Marco, Chitnis, Tanuja, Ciccarelli, Olga, Deiva, Kumaran, De Sèze, Jérôme, Fujihara, Kazuo, Jacob, Anu, Kim, Ho Jin, Kleiter, Ingo, Lassmann, Hans, Leite, Maria-Isabel, Linington, Christopher, Meinl, Edgar, Palace, Jacqueline, Paul, Friedemann, Petzold, Axel, Pittock, Sean, Reindl, Markus, Sato, Douglas Kazutoshi, Selmaj, Krzysztof, Siva, Aksel, Stankoff, Bruno, Tintore, Mar, Traboulsee, Anthony, Waters, Patrick, Waubant, Emmanuelle, Weinshenker, Brian, Derfuss, Tobias, Vukusic, Sandra, and Hemmer, Bernhard

Published
2021
Full Text
View/download PDF

36. Protocol of a prospective multicenter study on comorbidity impact on multiple sclerosis and antibody-mediated diseases of the central nervous system (COMMIT).

Author

Samadzadeh, Sara, Adnan, Rafl, Berglova, Paulina, Barzegar, Mahdi, Debrabant, Birgit, Roikjaer, Stine Gundtoft, Levy, Michael, Petzold, Axel, Palace, Jacqueline, Flanagan, Eoin P., Mariotto, Sara, Skou, Soeren T., Froelich, Anne, Lotan, Itay, Messina, Silvia, Geraldes, Ruth, Asseyer, Susanna, Stiebel-Kalish, Hadas, Oertel, Frederike Cosima, and Shaygannejad, Vahid

Subjects
CENTRAL nervous system diseases, CENTRAL nervous system viral diseases, NEUROMYELITIS optica, MULTIPLE sclerosis, REVERSE transcriptase polymerase chain reaction, MYELIN oligodendrocyte glycoprotein
Abstract

Comorbidities in patients with multiple sclerosis (MS) and antibody-mediated diseases of the central nervous system (CNS) including neuromyelitis optica spectrum disorder (NMOSD), and myelin oligodendrocyte glycoprotein (MOG)- antibody-associated disease (MOGAD) are common and may influence the course of their neurological disease. Comorbidity may contribute to neuronal injury and therefore limit recovery from attacks, accelerate disease progression, and increase disability. This study aims to explore the impact of comorbidity, particularly vascular comorbidity, and related risk factors on clinical and paraclinical parameters of MS, NMOSD and MOGAD. We propose COMMIT, a prospective multicenter study with longitudinal follow-up of patients with MS, NMOSD, and MOGAD, with or without comorbidities, as well as healthy subjects as controls. Subjects will be stratified by age, sex and ethnicity. In consecutive samples we will analyze levels of inflammation and neurodegeneration markers in both fluid and cellular compartments of the peripheral blood and cerebrospinal fluid (CSF) using multiple state-of-the-art technologies, including untargeted proteomics and targeted ultrasensitive ELISA assays and quantitative reverse transcription polymerase chain reaction (RT-qPCR) as well as high-dimensional single-cell technologies i.e., mass cytometry and single-cell RNA sequencing. Algorithm-based data analyses will be used to unravel the relationship between these markers, optical coherence tomography (OCT) and magnetic resonance imaging (MRI), and clinical outcomes including frequency and severity of relapses, long-term disability, and quality of life. The goal is to evaluate the impact of comorbidities on MS, NMOSD, and MOGAD which may lead to development of treatment approaches to improve outcomes of inflammatory demyelinating diseases of the CNS. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

37. Structural correlations between brain magnetic resonance image‐derived phenotypes and retinal neuroanatomy.

Author

Sun, Zihan, Zhang, Bing, Smith, Stephen, Atan, Denize, Khawaja, Anthony P., Stuart, Kelsey V., Luben, Robert N., Biradar, Mahantesh I., McGillivray, Thomas, Patel, Praveen J., Khaw, Peng T., Petzold, Axel, and Foster, Paul J.

Subjects
NEUROANATOMY, MAGNETIC resonance, PHENOTYPES, OPTICAL coherence tomography, MAGNETIC resonance imaging
Abstract

Background and purpose: The eye is a well‐established model of brain structure and function, yet region‐specific structural correlations between the retina and the brain remain underexplored. Therefore, we aim to explore and describe the relationships between the retinal layer thicknesses and brain magnetic resonance image (MRI)‐derived phenotypes in UK Biobank. Methods: Participants with both quality‐controlled optical coherence tomography (OCT) and brain MRI were included in this study. Retinal sublayer thicknesses and total macular thickness were derived from OCT scans. Brain image‐derived phenotypes (IDPs) of 153 cortical and subcortical regions were processed from MRI scans. We utilized multivariable linear regression models to examine the association between retinal thickness and brain regional volumes. All analyses were corrected for multiple testing and adjusted for confounders. Results: Data from 6446 participants were included in this study. We identified significant associations between volumetric brain MRI measures of subregions in the occipital lobe (intracalcarine cortex), parietal lobe (postcentral gyrus), cerebellum (lobules VI, VIIb, VIIIa, VIIIb, and IX), and deep brain structures (thalamus, hippocampus, caudate, putamen, pallidum, and accumbens) and the thickness of the innermost retinal sublayers and total macular thickness (all p < 3.3 × 10−5). We did not observe statistically significant associations between brain IDPs and the thickness of the outer retinal sublayers. Conclusions: Thinner inner and total retinal thicknesses are associated with smaller volumes of specific brain regions. Notably, these relationships extend beyond anatomically established retina–brain connections. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

38. Differentiating glaucoma from chiasmal compression using optical coherence tomography: the macular naso-temporal ratio.

Author

Kleerekooper, Iris, Wagner, Siegfried K., Trip, S. Anand, Plant, Gordon T., Petzold, Axel, Keane, Pearse A., and Khawaja, Anthony P.

Abstract

Background/aims The analysis of visual field loss patterns is clinically useful to guide differential diagnosis of visual pathway pathology. This study investigates whether a novel index of macular atrophy patterns can discriminate between chiasmal compression and glaucoma. Methods A retrospective series of patients with preoperative chiasmal compression, primary open-angle glaucoma (POAG) and healthy controls. Macular optical coherence tomography (OCT) images were analysed for the macular ganglion cell and inner plexiform layer (mGCIPL) thickness. The nasal hemi-macula was compared with the temporal hemi-macula to derive the macular naso-temporal ratio (mNTR). Differences between groups and diagnostic accuracy were explored with multivariable linear regression and the area under the receiver operating characteristic curve (AUC). Results We included 111 individuals (31 with chiasmal compression, 30 with POAG and 50 healthy controls). Compared with healthy controls, the mNTR was significantly greater in POAG cases (ß=0.07, 95% CI 0.03 to 0.11, p=0.001) and lower in chiasmal compression cases (ß=-0.12, 95% CI -0.16 to -0.09, p<0.001), even though overall mGCIPL thickness did not discriminate between these pathologies (p=0.36). The mNTR distinguished POAG from chiasmal compression with an AUC of 95.3% (95% CI 90% to 100%). The AUCs when comparing healthy controls to POAG and chiasmal compression were 79.0% (95% CI 68% to 90%) and 89.0% (95% CI 80% to 98%), respectively. Conclusions The mNTR can distinguish between chiasmal compression and POAG with high discrimination. This ratio may provide utility over-and-above previously reported sectoral thinning metrics. Incorporation of mNTR into the output of OCT instruments may aid earlier diagnosis of chiasmal compression. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

42. Periodontitis and outer retinal thickness: A cross-sectional analysis of the UK Biobank cohort

Author

Wagner, Siegfried K., primary, Patel, Praveen J., additional, Huemer, Josef, additional, Khalid, Hagar, additional, Stuart, Kelsey V., additional, Chu, Colin J., additional, Williamson, Dominic J., additional, Struyven, Robbert R., additional, Romero-Bascones, David, additional, Foster, Paul J., additional, Khawaja, Anthony P., additional, Petzold, Axel, additional, Balaskas, Konstantinos, additional, Cortina-Borja, Mario, additional, Chapple, Iain, additional, Dietrich, Thomas, additional, Rahi, Jugnoo S., additional, Denniston, Alastair K., additional, Keane, Pearse A., additional, Allen, Naomi, additional, Aslam, Tariq, additional, Atan, Denize, additional, Balaskas, Konsantinos, additional, Barman, Sarah A., additional, Barrett, Jenny H., additional, Bishop, Paul, additional, Black, Graeme, additional, Braithwaite, Tasanee, additional, Carare, Roxana O., additional, Chakravarthy, Usha, additional, Chan, Michelle, additional, Chua, Sharon Y.L., additional, Day, Alexander, additional, Desai, Parul, additional, Dhillon, Bal, additional, Dick, Andrew D., additional, Doney, Alexander, additional, Egan, Cathy, additional, Ennis, Sarah, additional, Foster, Paul, additional, Fruttiger, Marcus, additional, Gallacher, John E.J., additional, Garway-Heath, David F., additional, Gibson, Jane, additional, Guggenheim, Jeremy A., additional, Hammond, Chris J., additional, Hardcastle, Alison, additional, Harding, Simon P., additional, Hogg, Ruth E., additional, Hysi, Pirro, additional, Khaw, Sir Peng T., additional, Lascaratos, Gerassimos, additional, Littlejohns, Thoams, additional, Lotery, Andrew J., additional, Luben, Robert, additional, Luthert, Phil, additional, Macgillivray, Tom, additional, Mackie, Sarah, additional, McGuinness, Bernadette, additional, McKay, Gareth J., additional, McKibbin, Martin, additional, Moore, Tony, additional, Morgan, James E., additional, O’Sullivan, Eoin, additional, Oram, Richard, additional, Owen, Chris G., additional, Patel, Praveen, additional, Paterson, Euan, additional, Peto, Tunde, additional, Rudnikca, Alicja R., additional, Sattar, Naveed, additional, Self, Jay, additional, Sergouniotis, Panagiotis, additional, Sivaprasad, Sobha, additional, Steel, David, additional, Stratton, Irene, additional, Strouthidis, Nicholas, additional, Sudlow, Cathie, additional, Sun, Zihan, additional, Tapp, Robyn, additional, Thomas, Dhanes, additional, Trucco, Emanuele, additional, Tufail, Adnan, additional, Vitart, Veronique, additional, Viswanathan, Ananth C., additional, Weedon, Mike, additional, Williams, Cathy, additional, Williams, Katie, additional, Woodside, Jayne V., additional, Yates, MaxM., additional, Yip, Jennifer, additional, and Zheng, Yalin, additional

Published
2024
Full Text
View/download PDF

44. The APOSTEL recommendations for reporting quantitative optical coherence tomography studies

Author

Cruz-Herranz, Andrés, Balk, Lisanne J, Oberwahrenbrock, Timm, Saidha, Shiv, Martinez-Lapiscina, Elena H, Lagreze, Wolf A, Schuman, Joel S, Villoslada, Pablo, Calabresi, Peter, Balcer, Laura, Petzold, Axel, Green, Ari J, Paul, Friedemann, Brandt, Alexander U, Albrecht, Philipp, Imitola, Jaime, Toosy, Ahmed, Zimmermann, Hanna, Outteryck, Olivier, Nolan, Rachel, Kolbe, Scott, Battistini, Jette Lautrup Frederiksen, Aktas, Orhan, Leocani, Letizia, Yeh, Ann, Havla, Joachim, Ringelstein, Marius, Pihl-Jensen, Gorm, Preiningerova, Jana L, Schippling, Sven, and Costello, Fiona

Subjects
Bioengineering, Biomedical Imaging, Neurosciences, Clinical Research, Generic health relevance, Checklist, Humans, Research Design, Terminology as Topic, Tomography, Optical Coherence, IMSVISUAL consortium, Clinical Sciences, Cognitive Sciences, Neurology & Neurosurgery
Abstract

ObjectiveTo develop consensus recommendations for reporting of quantitative optical coherence tomography (OCT) study results.MethodsA panel of experienced OCT researchers (including 11 neurologists, 2 ophthalmologists, and 2 neuroscientists) discussed requirements for performing and reporting quantitative analyses of retinal morphology and developed a list of initial recommendations based on experience and previous studies. The list of recommendations was subsequently revised during several meetings of the coordinating group.ResultsWe provide a 9-point checklist encompassing aspects deemed relevant when reporting quantitative OCT studies. The areas covered are study protocol, acquisition device, acquisition settings, scanning protocol, funduscopic imaging, postacquisition data selection, postacquisition data analysis, recommended nomenclature, and statistical analysis.ConclusionsThe Advised Protocol for OCT Study Terminology and Elements recommendations include core items to standardize and improve quality of reporting in quantitative OCT studies. The recommendations will make reporting of quantitative OCT studies more consistent and in line with existing standards for reporting research in other biomedical areas. The recommendations originated from expert consensus and thus represent Class IV evidence. They will need to be regularly adjusted according to new insights and practices.

Published
2016

45. Peripheral Neuropathy in Virologically Suppressed People Living with HIV: Evidence from the PIVOT Trial

Author

Schuldt, Anna L., primary, Bern, Henry, additional, Hart, Melanie, additional, Gompels, Mark, additional, Winston, Alan, additional, Clarke, Amanda, additional, Chen, Fabian, additional, Stöhr, Wolfgang, additional, Heslegrave, Amanda, additional, Paton, Nicholas I., additional, Petzold, Axel, additional, and Arenas-Pinto, Alejandro, additional

Published
2023
Full Text
View/download PDF

49. Leveraging Visual Outcome Measures to Advance Therapy Development in Neuroimmunologic Disorders

Author

Graves, Jennifer S., Oertel, Frederike Cosima, Van der Walt, Anneke, Collorone, Sara, Sotirchos, Elias S., Pihl-Jensen, Gorm, Albrecht, Philipp, Yeh, E. Ann, Saidha, Shiv, Frederiksen, Jette, Newsome, Scott Douglas, Paul, Friedemann, Petzold, Axel, Villoslada, Pablo, Brandt, Alex, Bermel, Robert, Kenney, Rachel, Calabresi, Peter, and Balcer, Laura

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results