Faculty Bibliography

Purpose : To investigate the least variable sampling location for OCT retinal nerve fiber layer (RNFL) thickness measurements on rhesus macaque monkeys, for determining the preferred sampling location. Methods : In vivo three-dimensional spectral-domain OCT scans (Leica, Chicago, IL) were obtained as raster scan data (400x400x1024) in a 5x5x1.6 mm region (human equivalent, not the actual size in the monkey eye) centered on the optic nerve head (ONH) of 33 healthy adult rhesus macaques (19 males, 14 females; ages 3.0-10.7 years). The ONH scans of 48 eyes were analyzed using OCT segmentation software of our own design to calculate point-by-point RNFL thickness measurements. Mean RNFL thickness was computed on consecutive concentric circles within the scan window, centered on the geometric ONH center and starting at the optic disc margin (between 64-119 circles). The least variable RNFL measurement area was identified in the vicinity of the RNFL peak within the 2 mum deviation. Results : The least variable RNFL was observed in between 98.88+/-11.82 and 114.4+/-11.32 pixels from the ONH center with the peak RNFL at 106.42+/-11.55 pixels (Figure 1). Note that the number of available eyes in each sampling location varied as detailed in Figure 2. For comparison, the radius of the OCT scan circle conventionally used in humans is 1.7 mm, or 136 pixels, from the center of the ONH. Conclusions : In order to obtain less variable circumpapillary RNFL thickness measurements on rhesus macaque monkey eyes, it is recommended to use a sampling circle with a radius of approximately 106 pixels from the ONH center, which is smaller than the human equivalent

Purpose : Lamina cribrosa (LC) deformation is hypothesized to be a major cause of glaucoma. The LC undergoes different forms of stress both anteriorly from intraocular pressure (IOP), as well as posteriorly and circumferentially from subarachnoid cerebrospinal fluid pressure (CSFP) and the sclera. The purpose of this study was to determine possible in vivo changes in the path of the lamina pores under different IOP settings while maintaining fixed CSFP. Methods : Spectral-domain OCT scans (Leica, Chicago, IL) of the optic nerve head (ONH) were acquired in vivo under different pressure settings from healthy rhesus monkeys. IOP was controlled using a gravity-based perfusion system through a needle inserted into the anterior chamber. CSFP was maintained at the baseline opening pressure via gravitybased perfusion system through cannulation of the brain's lateral ventricle (range 8- 12mmHg). Scans were acquired at baseline IOP (15mmHg), high (30 mmHg) and very high IOP (40-50 mmHg) and registered in 3D. Pores from shared regions were automatically segmented using a previously described segmentation algorithm. The path of each pore was tracked based on the calculated geometric centroid of each pore. The tortuosity of each pore path was defined as the total actual distance of the centroid path divided by the minimal distance between the first (most anterior) and last (most posterior) pore centroids. Results : 7 eyes from 6 healthy adult Rhesus macaque were analyzed. The mean value of the pore path tortuosity varies between eyes at baseline IOP levels (range: 1.16-1.68; Table). Two main overall patterns of pore path tortuosity were detected in response to increased IOP at fixed CSFP: 4 eyes became more tortuous (M2, M5, M8, M11); in the rest of the eyes (M6 OD, M6 OS, M10) the pore paths remained either unchanged or showed a variable response. No statistically significant change (p > 0.05) was observed in this small sample in either the subject-specific analysis or the analysis of the pooled combined values of the pore path tortuosity. Conclusions : Baseline pore tortuosity as well as the response of the pores to acute IOP increase varies between eyes. Further investigation is warranted to determine if these differences are associated with glaucoma susceptibility

Purpose : Compare the speed of glaucoma progression as measured by global visual field (VF) and optical coherence tomography (OCT) metrics. Methods : Glaucoma suspect, pre-perimetric glaucoma (PPG) and perimetric glaucoma (PG) participants of Advanced Imaging for Glaucoma study, who had at least 7 visits with visual field (VF) and OCT ONH scan, were analyzed. Severity was staged by the modified Hodapp-Parrish-Anderson Criteria. Eyes with significant cataract progression were excluded. Spectral-domain OCT (RTVue, Optovue) and VF testing were performed every 6 months. The nerve fiber layer (NFL) thickness was measured from ONH scan. The NFL mean deviation (MD) were VF-equivalent dB-scale quantities based on sectorwise nonlinear regression of NFL thickness with VF deviation using cross-sectional data over a wide range of glaucoma severity. Linear regression was used to estimate the glaucoma progression speed. Results : Seventy-five glaucoma suspect eyes (VF MD-0.1+/-1.2dB), 160 PPG eyes (0.2+/-1.3 dB), 77 early PG eyes (-0.9+/-1.6dB) and 20 moderate+severe PG (-10.8+/-3.2dB) eyes were analyzed. The follow-up duration was 54 months +/- 8 months (mean +/- SD). For both VF MD and NFL MD, the speed of progression increased monotonically with glaucoma severity (Table 1). For overall NFL thickness, the progression speed was greatest in the PPG and early PG stages, but slowed down at the moderate+severe stages. The ratios of progression speed for NFL thickness relative to VF were significantly different between stages (p<0.006, one-way ANOVA). The ratios of progression speed for NFL MD relative to VF MD was generally slower (0.58-0.72), but not significantly different across disease stages (p=0.08). The progression speed of both NFL-MD and VF-MD were associated with baseline parameters (faster progression in eyes with more severe disease at baseline), while progression speed of NFL thickness was not (Table 2). Conclusions : Compared to VF MD, NFL thickness tends to overestimate the progression speed in the early stages of glaucoma and underestimate it in the later stages. Clinicians should be aware of the discrepancy in the apparent speed of disease progression as measured by structural and functional metrics, which strongly depend on the stage of disease severity. Converting the NFL thickness profile to NFL MD may provide a progression metric more consistent with VF MD over a wider range of glaucoma severity

Purpose : To assess the repeatability of estimates of mean deviation (MD) and visual field index (VFI) obtained from an automated deep-learning approach that analysed raw OCT volumes. Methods : OCT scans were acquired from both eyes of 138 healthy, 743 glaucoma suspects and 941 glaucoma patients (Cirrus HD-OCT scanner, 200x200 ONH Cubes, Zeiss, Dublin CA). The scans were acquired at multiple visits, with two or more scans acquired at each visit. Scans with signal strength < 7 were discarded, giving us a total of 19,208 OCT scans. A subset of 5207 eyes (total of 10,414 scans) had repeat scans of that met the inclusion criteria. 24-2 Humphrey visual field (VF) tests were administered at each visit. A single convolutional neural network was trained to estimate the MD and VFI (dual outputs) from downsampled OCT volumes (50x50x128 voxels). The network consisted of 5 convolutional layers, followed by a global average pooling layer and dual outputs to enable the simultaneous estimation of MD and VFI. A mean squared error loss was used to train the network using an Adam optimiser over a total of 200 epochs. A 10-fold cross-validation scheme was used, where the dataset was divided into 10 non-overlapping folds (~182 subjects per fold) - trained on 8-folds, validated on one and tested on one. Each subject was limited to a unique fold. The performance of the method was assessed by computing the median error and interquartile range. The repeatability was assessed using a set of 5207 OCT scans that had repeats available. Results : The median absolute error (Q1, Q3) for the estimates of MD and VFI were 1.66 (0.79, 2.99) dB and 3.01 (1.48, 6.63) %, respectively. In the reproducibility test, the Pearson's correlation coefficient was 0.91 (CI: [0.91, 0.92]) and 0.91 (CI: [0.90, 0.92]), for MD and VFI, respectively. The median absolute difference between the repeated estimates for MD and VFI were 0.53 (0.21, 0.51) dB and 1.17 (0.45, 1.14)%, respectively. Conclusions : The deep-learning based approach for estimating visual field test parameters shows repeatability better than expected test-to-test variability

BACKGROUND:This review explores the bioethical implementation of artificial intelligence (AI) in medicine and in ophthalmology. AI, which was first introduced in the 1950s, is defined as "the machine simulation of human mental reasoning, decision making, and behavior". The increased power of computing, expansion of storage capacity, and compilation of medical big data helped the AI implementation surge in medical practice and research. Ophthalmology is a leading medical specialty in applying AI in screening, diagnosis, and treatment. The first Food and Drug Administration approved autonomous diagnostic system served to diagnose and classify diabetic retinopathy. Other ophthalmic conditions such as age-related macular degeneration, glaucoma, retinopathy of prematurity, and congenital cataract, among others, implemented AI too. PURPOSE/OBJECTIVE:To review the contemporary literature of the bioethical issues of AI in medicine and ophthalmology, classify ethical issues in medical AI, and suggest possible standardizations of ethical frameworks for AI implementation. METHODS:Keywords were searched on Google Scholar and PubMed between October 2019 and April 2020. The results were reviewed, cross-referenced, and summarized. A total of 284 references including articles, books, book chapters, and regulatory reports and statements were reviewed, and those that were relevant were cited in the paper. RESULTS:Most sources that studied the use of AI in medicine explored the ethical aspects. Bioethical challenges of AI implementation in medicine were categorized into 6 main categories. These include machine training ethics, machine accuracy ethics, patient-related ethics, physician-related ethics, shared ethics, and roles of regulators. CONCLUSIONS:There are multiple stakeholders in the ethical issues surrounding AI in medicine and ophthalmology. Attention to the various aspects of ethics related to AI is important especially with the expanding use of AI. Solutions of ethical problems are envisioned to be multifactorial.

OBJECTIVE:Familial Dysautonomia (FD) disease, lacks a useful biomarker for clinical monitoring. In this longitudinal study we characterized the structural changes in the macula, peripapillary and the optic nerve head (ONH) regions in subjects with FD. METHODS:Data was consecutively collected from subjects attending the FD clinic between 2012 and 2019. All subjects were imaged with spectral-domain Optical Coherence Tomography (OCT). Global and sectoral measurements of mean retinal nerve fiber layer (RNFL) and macular ganglion cell and inner plexiform layer (GCIPL) thickness, and ONH parameters of rim area, average cup-to-disc (C:D) ratio, and cup volume were used for the analysis. The best fit models (linear, quadratic and broken stick linear model) were used to describe the longitudinal change in each of the parameters. RESULTS:91 subjects (149 eyes) with FD of ages 5-56 years were included in the analysis. The rate of change for average RNFL and average GCIPL thicknesses were significant before reaching a plateau at the age of 26.2 for RNFL and 24.8 for GCIPL (- 0.861 µm/year (95% CI - 1.026, - 0.693) and - 0.553 µm/year (95% CI - 0.645, - 0.461), respectively). Significant linear rate of progression was noted for all ONH parameters, except for a subset of subjects (24%), with no cupping that did not show progression in any of the ONH parameters. CONCLUSIONS:The rapidly declining RNFL and GCIPL can explain the progressive visual impairment previously reported in these subjects. Among all structural parameters, ONH parameters might be most suitable for longitudinal follow-up, in eyes with a measurable cup.

Glaucoma is a neurodegenerative disease that causes progressive, irreversible vision loss. Currently, intraocular pressure (IOP) is the only modifiable risk factor for glaucoma. However, glaucomatous degeneration may continue despite adequate IOP control. Therefore, there exists a need for treatment that protects the visual system, independent of IOP. This study sought, first, to longitudinally examine the neurobehavioral effects of different magnitudes and durations of IOP elevation using multi-parametric magnetic resonance imaging (MRI), optokinetics and histology; and, second, to evaluate the effects of oral citicoline treatment as a neurotherapeutic in experimental glaucoma. Eighty-two adult Long Evans rats were divided into six groups: acute (mild or severe) IOP elevation, chronic (citicoline-treated or untreated) IOP elevation, and sham (acute or chronic) controls. We found that increasing magnitudes and durations of IOP elevation differentially altered structural and functional brain connectivity and visuomotor behavior, as indicated by decreases in fractional anisotropy in diffusion tensor MRI, magnetization transfer ratios in magnetization transfer MRI, T1-weighted MRI enhancement of anterograde manganese transport, resting-state functional connectivity, visual acuity, and neurofilament and myelin staining along the visual pathway. Furthermore, 3 weeks of oral citicoline treatment in the setting of chronic IOP elevation significantly reduced visual brain integrity loss and visual acuity decline without altering IOP. Such effects sustained after treatment was discontinued for another 3 weeks. These results not only illuminate the close interplay between eye, brain, and behavior in glaucomatous neurodegeneration, but also support a role for citicoline in protecting neural tissues and visual function in glaucoma beyond IOP control.

Timely ophthalmologic consultation is important to ensure patients receive high quality ophthalmologic care in the Emergency Department (ED). Tele-ophthalmology may prove useful in safely and efficiently managing ED eye-related complaints. Prior to implementing such a solution, current consultation patterns must be understood. We aimed to assess case-mix acuity and consultation workflow patterns in the ophthalmology consult service at a tertiary emergency department in New York City. The medical records of patients with eye-related complaints who presented to the ED between January 1, 2015 and December 31, 2015 were reviewed. Visits were retrospectively assigned acuities and the ophthalmologic subspecialty involved in the case was recorded. The number of ophthalmologic consultations ordered and consultant response times were analyzed. Patients who were transferred to the ED for eye-related complaints were included. The ED received 1090 eye-related complaints in this period. 60% were retrospectively assigned low acuity, 27% were assigned medium acuity, and 13% were assigned high acuity. Ophthalmology was consulted on 19% of low, 18% of medium, and 48% of high acuity cases. 44% of complaints involved the anterior segment and 30% involved oculoplastics. 2/3 of transfer patients initially assigned high acuity were downgraded to low acuity upon examination. On average, the consult note was created and signed within 109 and 153 min, respectively, after consult order. ED consults are heavily weighted towards pathology of low-to-medium acuity affecting the anterior segment and ocular adnexa. Currently available tele-ophthalmology technology can potentially address a large volume of eye-related visits.