Derek Orshan, Andrew Tirsi, Hosam Sheha, Vasiliki Gliagias, Joby Tsai, Sung Chul Park, Stephen A Obstbaum, Celso Tello
{"title":"使用稳态模式视网膜电成像和光学相干断层扫描估计青光眼和准周青光眼视网膜神经节细胞计数的结构-功能模型:一项电生理学先导研究。","authors":"Derek Orshan, Andrew Tirsi, Hosam Sheha, Vasiliki Gliagias, Joby Tsai, Sung Chul Park, Stephen A Obstbaum, Celso Tello","doi":"10.1007/s10633-022-09900-z","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To derive and validate structure-function models for estimating retinal ganglion cell (RGC) count using optical coherence tomography (OCT) and steady-state pattern electroretinography (ssPERG) parameters in glaucoma suspects (GS) and preperimetric glaucoma (PPG).</p><p><strong>Methods: </strong>In this prospective cross-sectional study, 25 subjects (50 eyes) were recruited at the Manhattan Eye, Ear, and Throat Hospital. Subjects underwent comprehensive eye examinations, OCT, standard automated perimetry (SAP), and ssPERG testing. Eyes were divided into three groups based on the Global Glaucoma Staging System: healthy (N = 30), GS (N = 10), and PPG (N = 10) eyes. The combined structure-function index (CSFI), which estimates retinal ganglion cell count (eRGC<sub>CSFI</sub>) from SAP and OCT parameters, was calculated in each study subject. Two prediction formulas were derived using a generalized linear mixed model (GLMM) to predict eRGC<sub>CSFI</sub> from ssPERG parameters, age, and average retinal nerve fiber layer thickness (ARNFLT) in 30 eyes selected at random (training group). GLMM predicted values were cross-validated with the remaining 20 eyes (validation group).</p><p><strong>Results: </strong>The ARNFLT, ssPERG parameters magnitude (Mag) and magnitudeD (MagD), and eRGC<sub>CSFI</sub> were significantly different among study groups (ANOVA p ≤ 0.001). Pearson correlations demonstrated significant associations among ARNFLT, ssPERG parameters, and eRGC<sub>CSFI</sub> (r<sup>2</sup> ≥ 0.31, p < 0.001). Two GLMMs predicted eRGC<sub>CSFI</sub> from Mag (eRGC<sub>Mag</sub>) and MagD (eRGC<sub>MagD</sub>), respectively, with significant equations (F(3,18), F(3,19) ≥ 58.37, R<sup>2</sup> = 0.90, p < 0.001). eRGC<sub>Mag</sub> and eRGC<sub>MagD</sub> in the validation group (R<sup>2</sup> = 0.89) correlated with eRGC<sub>CSFI</sub> similarly to the training group. Multivariate pairwise comparisons revealed that eRGC<sub>Mag</sub> and eRGC<sub>MagD</sub> distinguished between healthy, GS, and PPG eyes (p ≤ 0.035), whereas independent Mag, MagD, and ARNFLT measures did not distinguish between GS and PPG eyes.</p><p><strong>Conclusion: </strong>This pilot study offers the first combined structure-function models for estimating RGC count using ssPERG parameters. RGC counts estimated with these models were generalizable, strongly associated with CSFI estimates, and performed better than individual ssPERG and OCT measures in distinguishing healthy, GS, and PPG eyes.</p>","PeriodicalId":11207,"journal":{"name":"Documenta Ophthalmologica","volume":"145 3","pages":"221-235"},"PeriodicalIF":2.6000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653319/pdf/","citationCount":"1","resultStr":"{\"title\":\"Structure-function models for estimating retinal ganglion cell count using steady-state pattern electroretinography and optical coherence tomography in glaucoma suspects and preperimetric glaucoma: an electrophysiological pilot study.\",\"authors\":\"Derek Orshan, Andrew Tirsi, Hosam Sheha, Vasiliki Gliagias, Joby Tsai, Sung Chul Park, Stephen A Obstbaum, Celso Tello\",\"doi\":\"10.1007/s10633-022-09900-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To derive and validate structure-function models for estimating retinal ganglion cell (RGC) count using optical coherence tomography (OCT) and steady-state pattern electroretinography (ssPERG) parameters in glaucoma suspects (GS) and preperimetric glaucoma (PPG).</p><p><strong>Methods: </strong>In this prospective cross-sectional study, 25 subjects (50 eyes) were recruited at the Manhattan Eye, Ear, and Throat Hospital. Subjects underwent comprehensive eye examinations, OCT, standard automated perimetry (SAP), and ssPERG testing. Eyes were divided into three groups based on the Global Glaucoma Staging System: healthy (N = 30), GS (N = 10), and PPG (N = 10) eyes. The combined structure-function index (CSFI), which estimates retinal ganglion cell count (eRGC<sub>CSFI</sub>) from SAP and OCT parameters, was calculated in each study subject. Two prediction formulas were derived using a generalized linear mixed model (GLMM) to predict eRGC<sub>CSFI</sub> from ssPERG parameters, age, and average retinal nerve fiber layer thickness (ARNFLT) in 30 eyes selected at random (training group). GLMM predicted values were cross-validated with the remaining 20 eyes (validation group).</p><p><strong>Results: </strong>The ARNFLT, ssPERG parameters magnitude (Mag) and magnitudeD (MagD), and eRGC<sub>CSFI</sub> were significantly different among study groups (ANOVA p ≤ 0.001). Pearson correlations demonstrated significant associations among ARNFLT, ssPERG parameters, and eRGC<sub>CSFI</sub> (r<sup>2</sup> ≥ 0.31, p < 0.001). Two GLMMs predicted eRGC<sub>CSFI</sub> from Mag (eRGC<sub>Mag</sub>) and MagD (eRGC<sub>MagD</sub>), respectively, with significant equations (F(3,18), F(3,19) ≥ 58.37, R<sup>2</sup> = 0.90, p < 0.001). eRGC<sub>Mag</sub> and eRGC<sub>MagD</sub> in the validation group (R<sup>2</sup> = 0.89) correlated with eRGC<sub>CSFI</sub> similarly to the training group. Multivariate pairwise comparisons revealed that eRGC<sub>Mag</sub> and eRGC<sub>MagD</sub> distinguished between healthy, GS, and PPG eyes (p ≤ 0.035), whereas independent Mag, MagD, and ARNFLT measures did not distinguish between GS and PPG eyes.</p><p><strong>Conclusion: </strong>This pilot study offers the first combined structure-function models for estimating RGC count using ssPERG parameters. RGC counts estimated with these models were generalizable, strongly associated with CSFI estimates, and performed better than individual ssPERG and OCT measures in distinguishing healthy, GS, and PPG eyes.</p>\",\"PeriodicalId\":11207,\"journal\":{\"name\":\"Documenta Ophthalmologica\",\"volume\":\"145 3\",\"pages\":\"221-235\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9653319/pdf/\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Documenta Ophthalmologica\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s10633-022-09900-z\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"OPHTHALMOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Documenta Ophthalmologica","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10633-022-09900-z","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPHTHALMOLOGY","Score":null,"Total":0}
Structure-function models for estimating retinal ganglion cell count using steady-state pattern electroretinography and optical coherence tomography in glaucoma suspects and preperimetric glaucoma: an electrophysiological pilot study.
Purpose: To derive and validate structure-function models for estimating retinal ganglion cell (RGC) count using optical coherence tomography (OCT) and steady-state pattern electroretinography (ssPERG) parameters in glaucoma suspects (GS) and preperimetric glaucoma (PPG).
Methods: In this prospective cross-sectional study, 25 subjects (50 eyes) were recruited at the Manhattan Eye, Ear, and Throat Hospital. Subjects underwent comprehensive eye examinations, OCT, standard automated perimetry (SAP), and ssPERG testing. Eyes were divided into three groups based on the Global Glaucoma Staging System: healthy (N = 30), GS (N = 10), and PPG (N = 10) eyes. The combined structure-function index (CSFI), which estimates retinal ganglion cell count (eRGCCSFI) from SAP and OCT parameters, was calculated in each study subject. Two prediction formulas were derived using a generalized linear mixed model (GLMM) to predict eRGCCSFI from ssPERG parameters, age, and average retinal nerve fiber layer thickness (ARNFLT) in 30 eyes selected at random (training group). GLMM predicted values were cross-validated with the remaining 20 eyes (validation group).
Results: The ARNFLT, ssPERG parameters magnitude (Mag) and magnitudeD (MagD), and eRGCCSFI were significantly different among study groups (ANOVA p ≤ 0.001). Pearson correlations demonstrated significant associations among ARNFLT, ssPERG parameters, and eRGCCSFI (r2 ≥ 0.31, p < 0.001). Two GLMMs predicted eRGCCSFI from Mag (eRGCMag) and MagD (eRGCMagD), respectively, with significant equations (F(3,18), F(3,19) ≥ 58.37, R2 = 0.90, p < 0.001). eRGCMag and eRGCMagD in the validation group (R2 = 0.89) correlated with eRGCCSFI similarly to the training group. Multivariate pairwise comparisons revealed that eRGCMag and eRGCMagD distinguished between healthy, GS, and PPG eyes (p ≤ 0.035), whereas independent Mag, MagD, and ARNFLT measures did not distinguish between GS and PPG eyes.
Conclusion: This pilot study offers the first combined structure-function models for estimating RGC count using ssPERG parameters. RGC counts estimated with these models were generalizable, strongly associated with CSFI estimates, and performed better than individual ssPERG and OCT measures in distinguishing healthy, GS, and PPG eyes.
期刊介绍：
Documenta Ophthalmologica is an official publication of the International Society for Clinical Electrophysiology of Vision. The purpose of the journal is to promote the understanding and application of clinical electrophysiology of vision. Documenta Ophthalmologica will publish reviews, research articles, technical notes, brief reports and case studies which inform the readers about basic and clinical sciences related to visual electrodiagnosis and means to improve diagnosis and clinical management of patients using visual electrophysiology. Studies may involve animals or humans. In either case appropriate care must be taken to follow the Declaration of Helsinki for human subject or appropriate humane standards of animal care (e.g., the ARVO standards on Animal Care and Use).
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