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

Autor:	Kenney R; Departments of Neurology (RK, LH, BJ, SLG, LJB) and Population Health (RK, ML, YC, LET, LJB), New York University Grossman School of Medicine, New York, New York; Al-Bahar Ophthalmology Center (AAA-H, RB), Ibn Sina Hospital, Kuwait City, Kuwait; Centre for Research on Sports in Society (LB), Mulier Institute, Utrecht, Netherlands; Experimental and Clinical Research Center (AUB, AP, FP, HZ), Max Delbrueck Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Berlin, Germany; Department of Neurology (AUB), University of California, Irvine, California; Department of Neurology (PAC, SS), Johns Hopkins University, Baltimore, Maryland; Laboratory of Neuroimmunology (EMF, TF), Stanford University School of Medicine, Palo Alto, California; Institute of Clinical Neuroimmunology (JH), LMU Hospital, Ludwig Maximilians Universität München, Munich, Germany; Data Integration for Future Medicine consortium (DIFUTURE) (JH), Ludwig-Maximilians University, Munich, Germany; Department of Neurology (BH, BK, TK), Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy) (BH, TK), Munich, Germany; Department of Neurology (HJ), Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida; Vita-Salute University & Hospital San Raffaele (LL, MP), Milano, Italy; Center of Neuroimmunology and Department of Neurology (EHM-L, PV), Hospital Clinic of Barcelona, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Neurologic Clinic and Policlinic (AP), MS Center and Research Center for Clinical Neuroimmunology and Neuroscience (RCN2NB) Basel, University Hospital Basel and University of Basel, Basel, Switzerland; NeuroCure Clinical Research Center (FP, HZ), Charité-Universitätsmedizin Berlin, Berlin, Germany; Moorfields Eye Hospital (AP), London, United Kingdom ; The National Hospital for Neurology and Neurosurgery (AP), Queen Square, UCL Institute of Neurology, London, United Kingdom; Dutch Neuro-Ophthalmology Expertise Centre (AP), Amsterdam UMC, Amsterdam, the Netherlands; Oregon Health and Science University (HI), Portland, Oregon; Department of Ophthalmology (JSS, GW, SLG, LJB), New York University Grossman School of Medicine, New York, New York; Departments of Biomedical Engineering and Electrical and Computer Engineering (JSS), Tandon School of Engineering, New York University, Brooklyn, New York; Center for Neural Science (JSS), NYU, New York, New York; and Neuroscience Institute (JSS), NYU Langone Health, New York, New York., Liu M, Hasanaj L, Joseph B, Al-Hassan AA, Balk L, Behbehani R, Brandt AU, Calabresi PA, Frohman EM, Frohman T, Havla J, Hemmer B, Jiang H, Knier B, Korn T, Leocani L, Martínez-Lapiscina EH, Papadopoulou A, Paul F, Petzold A, Pisa M, Villoslada P, Zimmermann H, Ishikawa H, Schuman JS, Wollstein G, Chen Y, Saidha S, Thorpe LE, Galetta SL, Balcer LJ
Jazyk:	angličtina
Zdroj:	Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society [J Neuroophthalmol] 2022 Dec 01; Vol. 42 (4), pp. 442-453. Date of Electronic Publication: 2022 Oct 18.
DOI:	10.1097/WNO.0000000000001717
Abstrakt:	Background: Spectral-domain (SD-) optical coherence tomography (OCT) can reliably measure axonal (peripapillary retinal nerve fiber layer [pRNFL]) and neuronal (macular ganglion cell + inner plexiform layer [GCIPL]) thinning in the retina. Measurements from 2 commonly used SD-OCT devices are often pooled together in multiple sclerosis (MS) studies and clinical trials despite software and segmentation algorithm differences; however, individual pRNFL and GCIPL thickness measurements are not interchangeable between devices. In some circumstances, such as in the absence of a consistent OCT segmentation algorithm across platforms, a conversion equation to transform measurements between devices may be useful to facilitate pooling of data. The availability of normative data for SD-OCT measurements is limited by the lack of a large representative world-wide sample across various ages and ethnicities. Larger international studies that evaluate the effects of age, sex, and race/ethnicity on SD-OCT measurements in healthy control participants are needed to provide normative values that reflect these demographic subgroups to provide comparisons to MS retinal degeneration. Methods: Participants were part of an 11-site collaboration within the International Multiple Sclerosis Visual System (IMSVISUAL) consortium. SD-OCT was performed by a trained technician for healthy control subjects using Spectralis or Cirrus SD-OCT devices. Peripapillary pRNFL and GCIPL thicknesses were measured on one or both devices. Automated segmentation protocols, in conjunction with manual inspection and correction of lines delineating retinal layers, were used. A conversion equation was developed using structural equation modeling, accounting for clustering, with healthy control data from one site where participants were scanned on both devices on the same day. Normative values were evaluated, with the entire cohort, for pRNFL and GCIPL thicknesses for each decade of age, by sex, and across racial groups using generalized estimating equation (GEE) models, accounting for clustering and adjusting for within-patient, intereye correlations. Change-point analyses were performed to determine at what age pRNFL and GCIPL thicknesses exhibit accelerated rates of decline. Results: The healthy control cohort (n = 546) was 54% male and had a wide distribution of ages, ranging from 18 to 87 years, with a mean (SD) age of 39.3 (14.6) years. Based on 346 control participants at a single site, the conversion equation for pRNFL was Cirrus = -5.0 + (1.0 × Spectralis global value). Based on 228 controls, the equation for GCIPL was Cirrus = -4.5 + (0.9 × Spectralis global value). Standard error was 0.02 for both equations. After the age of 40 years, there was a decline of -2.4 μm per decade in pRNFL thickness ( P < 0.001, GEE models adjusting for sex, race, and country) and -1.4 μm per decade in GCIPL thickness ( P < 0.001). There was a small difference in pRNFL thickness based on sex, with female participants having slightly higher thickness (2.6 μm, P = 0.003). There was no association between GCIPL thickness and sex. Likewise, there was no association between race/ethnicity and pRNFL or GCIPL thicknesses. Conclusions: A conversion factor may be required when using data that are derived between different SD-OCT platforms in clinical trials and observational studies; this is particularly true for smaller cross-sectional studies or when a consistent segmentation algorithm is not available. The above conversion equations can be used when pooling data from Spectralis and Cirrus SD-OCT devices for pRNFL and GCIPL thicknesses. A faster decline in retinal thickness may occur after the age of 40 years, even in the absence of significant differences across racial groups. (Copyright © 2022 by North American Neuro-Ophthalmology Society.)
Databáze:	MEDLINE
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