Utility of Spectral-Domain Optical Coherence Tomography in Differentiating Papilledema From Pseudopapilledema: A Prospective Longitudinal Study

Prospective and longitudinal studies assessing the utility of spectral-domain optical coherence tomography (SD-OCT) to differentiate papilledema from pseudopapilledema are lacking. We studied the sensitivity and specificity of baseline and longitudinal changes in SD-OCT parameters with 3D segmentation software to distinguish between papilledema and pseudopapilledema in a cohort of patients referred for evaluation of undiagnosed optic disc elevation

Original Contribution Section Editors: Clare Fraser, MD Susan Mollan, MD Utility of Spectral-Domain Optical Coherence Tomography in Differentiating Papilledema From Pseudopapilledema: A Prospective Longitudinal Study Imran Jivraj, BSc, MD, FRCSC, Cesar A. Cruz, MD, Maxwell Pistilli, MEd, MS, Anita A. Kohli, MD, Grant T. Liu, MD, Kenneth S. Shindler, MD, PhD, Robert A. Avery, DO, MSCE, Mona K. Garvin, MS, PhD, Jui-Kai Wang, MS, PhD, Ahmara Ross, MD, Madhura A. Tamhankar, MD Background: Prospective and longitudinal studies assessing the utility of spectral-domain optical coherence tomography (SD-OCT) to differentiate papilledema from pseudopapilledema are lacking. We studied the sensitivity and specificity of baseline and longitudinal changes in SD-OCT parameters with 3D segmentation software to distinguish between papilledema and pseudopapilledema in a cohort of patients referred for evaluation of undiagnosed optic disc elevation. Methods: Fifty-two adult patients with optic disc elevation were enrolled in a prospective longitudinal study. A diagnosis of papilledema was made when there was a change in the appearance of the optic disc elevation on fundus photographs as noted by an independent observer at or before 6 months. The degree of optic disc elevation was graded using the Frisen scale and patients with mild optic disc elevation (Frisen grades 1 and 2) were separately analyzed. SD-OCT parameters including peripapillary retinal nerve fiber layer (pRNFL), total retinal thickness (TRT), paracentral ganglion cell layer–inner plexiform layer (GCL-IPL) thickness, and optic nerve head volume (ONHV) at baseline and within 6 months of follow-up were measured. Department Ophthalmology (IJ), University of Alberta, Edmonton, Canada; Perelman School of Medicine at the University of Pennsylvania (CA), Philadelphia, Pennsylvania; Center for Preventative Ophthalmology and Biostatistics at the University of Pennsylvania (MP), Philadelphia, Pennsylvania; Department of Ophthalmology and Visual Science (AAK), Yale School of Medicine, New Haven, Connecticut; Division of Neuro-ophthalmology (GTL, KSS, RAA, AR, MAT), Departments of Ophthalmology and Neurology, Scheie Eye Institute at the University of Pennsylvania, Philadelphia, Pennsylvania; Center for the Prevention and Treatment of Visual Loss (MKG, J-KW), VA Health Care System, Iowa City, Iowa; and Department of Electrical and Computer Engineering (MKG, J-KW), the University of Iowa, Iowa City, Iowa. Supported by a P30-EY01583-26 federal grant. The authors report no conflicts of interest. Address correspondence to Imran Jivraj, BSc, MD, FRCSC, Department Ophthalmology, University of Alberta, ATC 23, Room 2317, Royal Alexandra Hospital, 10240 Kingsway Avenue, Edmonton, AB, Canada T5H 3V9; Email: [e-mail] Jivraj et al: J Neuro-Ophthalmol 2021; 41: e509-e515 Results: Twenty-seven (52%) patients were diagnosed with papilledema and 25 (48%) with pseudopapilledema. Among patients with mild optic disc elevation (Frisen grades 1 and 2), baseline pRNFL (110.1 mm vs 151.3 mm) and change in pRNFL (DpRNFL) (7.3 mm vs 52.3 mm) were greater among those with papilledema. Baseline and absolute changes in TRT and ONHV were also significantly higher among patients with papilledema. The mean GCL-IPL thickness was similar at baseline, but there was a small reduction in GCL-IPL thickness among patients with papilledema. Receiver operator curves (ROCs) were generated; DpRNFL (0.93), DTRT (0.94), and DONHV (0.95) had the highest area under the curve (AUC). Conclusions: The mean baseline and absolute changes in SD-OCT measurements (pRFNL, TRT, and ONHV) were significantly greater among patients with papilledema, and remained significantly greater when patients with mild optic disc elevation were separately analyzed. ROCs demonstrated that DpRNFL, DTRT, and DONHV have the highest AUC and are best able to differentiate between papilledema and pseudopapilledema. Journal of Neuro-Ophthalmology 2021;41:e509–e515 doi: 10.1097/WNO.0000000000001087 © 2020 by North American Neuro-Ophthalmology Society D istinguishing papilledema from pseudopapilledema can be a challenging clinical dilemma when the degree of optic nerve elevation is mild. Although patients with suspected papilledema need neuroimaging and lumbar puncture and treatment of increased intracranial pressure, pseudopapilledema is a benign condition that is rarely vision threatening and does not require invasive testing. Clinicians rely on multiple variables such as patient’s age, sex, physical characteristics, symptoms suggestive of raised intracranial pressure, ophthalmoscopic features of the elevated optic nerve head, and ancillary testing, including ocular ultrasoe509 Copyright © North American Neuro-Ophthalmology Society. Unauthorized reproduction of this article is prohibited. Original Contribution nography, fluorescein angiography, neuroimaging, and lumbar puncture for diagnosis (1,2). Although structural optic disc characteristics have been retrospectively studied using spectral-domain optical coherence tomography (SD-OCT), there are limited prospective and longitudinal studies that examine the value of change in SD-OCT parameters that may be diagnostically useful in differentiating papilledema from pseudopapilledema (3). Visible optic disc drusen are clinically obvious and do not require additional confirmation. Buried optic disc drusen can be visualized with enhanced depth imaging on OCT (2). Increased thickness of the peripapillary retinal nerve fiber layer (pRNFL), total retinal thickness (TRT), peripapillary ring volume, the presence of peripapillary subretinal fluid, and subretinal hyporeflective spaces with smooth contour favors the diagnosis of papilledema (4–7). In published reports of the idiopathic intracranial hypertension treatment trial (IIHTT), Frisen grading of optic disc swelling significantly correlated with the mean pRNFL, TRT, and optic nerve head volume (ONHV), suggesting that OCT parameters mirror the changes observed ophthalmoscopically in patients with papilledema (8,9). The differences in the peripapillary capillary density between controls, patients with papilledema, and pseudopapilledema have been recently described using OCT angiography (10). Our objective was to determine whether baseline and longitudinal changes in pRNFL, TRT, ONHV, and ganglion cell layer–inner plexiform layer (GCL-IPL) thickness, as measured by SD-OCT of the optic nerve and macula using 3D segmentation software, were significantly different between patients with papilledema and pseudopapilledema and could therefore serve as diagnostic tests to distinguish between the 2 entities. ture findings and had no influence over the patient’s treatment, separately evaluated the fundus photographs to provide an independent assessment of papilledema vs pseudopapilledema. METHODS Spectral-Domain Optical Coherence Tomography Measurements This study was approved by the site’s institutional review board, and written informed consent was obtained from patients in compliance with the principles of the Declaration of Helsinki. In this prospective study, patients referred for evaluation of newly diagnosed optic disc elevation were consecutively enrolled by neuro-ophthalmologists. Those who had received previous treatment for papilledema were excluded. Patients with any pre-existing retinal or macular disease, clinically visible superficial optic disc drusen, or those with other optic neuropathies causing optic disc elevation were excluded. All study participants were evaluated by the treating neuro-ophthalmologist who arranged further investigations and treatment based on their clinical impression of the optic disc swelling. The treating neuro-ophthalmologist’s diagnosis was not used for study purposes. Instead, a masked neuro-ophthalmologist, who was blinded to the patient’s clinical history, imaging results, or lumbar punce510 Diagnosis of Papilledema and Pseudopapilledema A diagnosis of papilledema was made when the masked neuro-ophthalmologist identified a change in the appearance of optic nerve swelling when comparing the fundus photographs taken at baseline with fundus photographs taken at a follow-up appointment at or before 6 months. Pseudopapilledema was diagnosed when no change was observed between 2 fundus photographs taken at baseline and at 6 months. The treating neuro-ophthalmologist performed a baseline ophthalmic evaluation, including documentation of Frisen grading of optic disc swelling for each eye. SD-OCT scans of the optic disc and macula, fundus photography, and threshold 24-2 Humphrey Visual Field (HVF) perimetry were performed for both eyes at the baseline visit. Results of other testing, including neuroimaging, lumbar puncture, and treatment rendered were recorded. Patients with pseudopapilledema were offered reassurance and monitored while those with papilledema from pseudotumor cerebri received treatment with weight loss, intracranial pressure lowering therapy, or surgery. All patients underwent repeat fundus photography and SD-OCT testing at the 6-month follow-up visit or earlier if a change in the optic nerve swelling was detected by the treating neuro-ophthalmologist. The patients were considered to have completed the study once both baseline and final study visits had occurred. Additional details on the testing protocol are included below. Baseline and longitudinal changes in OCT parameters were compared between patients diagnosed with papilledema and pseudopapilledema. The OCT scan acquisition was performed with the Cirrus 5000 SD-OCT (8.1.0.117) modeled after the IIHTT protocol (8,11). Three scans were performed as follows: two 200 · 200 optic disc cube scans, 2 macular cube scans 200 · 200 centered around the fovea, and one high-definition 5-line raster scan horizontally oriented and separated by 0.5 mm imposed on the optic disc. The cube scans were generated from a 6-mm square grid composed of 200 horizontal lines containing 200 A-scans. Only the highest quality scans were chosen for analyses. OCT scans that had poor signal strength (,7), missing scans, poor alignment, or failure of the segmentation algorithm were discarded. Patients who did not have at least one scan of sufficient quality for each visit were not included in the study. Jivraj et al: J Neuro-Ophthalmol 2021; 41: e509-e515 Copyright © North American Neuro-Ophthalmology Society. Unauthorized reproduction of this article is prohibited. Original Contribution The IIHTT showed that proprietary OCT 2D segmentation software has a higher rate of retinal layer segmentation error in evaluating elevated optic nerves than a 3D segmentation algorithm developed at the University of Iowa (11–13). The 3D segmentation algorithm that was used in this study uses neighboring image information from multiple B-scans that significantly reduces the rate of segmentation error and was successfully used in the OCT arm of the IIHTT (Fig. 1) (8,11). The original 2D 200 · 200 macular cube and 200 · 200 optic disc cube scans were analyzed by the 3D segmentation algorithm; pRNFL, TRT, and ONHV were computed using the optic disc cube scan while the GCL-IPL thickness was derived using the macular cube scan. The mean pRNFL and TRT were computed using a circle around the optic nerve head with radius of 1.73 mm. The average GCL-IPL thickness was measured in an elliptical annulus centered around the fovea (with a vertical inner and outer radius of 0.5 mm and 2.0 mm, respectively, and horizontal inner and outer radius of 0.6 mm and 2.4 mm, respectively) using the graph theoretic approach developed by the University of Iowa (12–14). The dimensions of the ring were chosen to exclude areas of GCL-IPL that are normally thin and difficult to measure. Fundus Photography Digital fundus photography testing was performed by a trained technician using the IIHTT protocol (11). The Zeiss FF450 was used with a 30° field angle. This fundus camera combined with Merge Health care software and a 5 megapixel backing camera allowed for photographs taken with a resolution of 2,400 · 2048 pixels. The photographs were uploaded to a Windows 7 Professional SP1 PC and contained within the WinStation version 11.4 program provided by Merge Health care. The photographs contained an image centered on the optic disc at the retinal plane, on the plane of highest disc elevation, and the papillomacular area. Quality of images was assessed for appropriate quality, centration, and the presence of stereo by a trained technician. An independent neuro-ophthalmologist visualized the images under dim illumination with a stereoscope. All photographs were kept with the exception of those containing artifacts or capture errors, such as poor focus, under or overexposure, patient movement, blinking, lashes, etc. Statistical Analyses Study data were collected and entered into Redcap electronic data capture tools (15). Differences in pRNFL, TRT, ONHV, and GCL-IPL between patients with pseudopapilledema and papilledema were analyzed using analysis of variance for continuous characteristics and chi-square tests for categorical characteristics. All statistical analysis was performed with SAS 9.4 (SAS Inc, Cary, NC). The correlation between GCL-IPL and mean deviation of visual fields was assessed. Jivraj et al: J Neuro-Ophthalmol 2021; 41: e509-e515 RESULTS Of the 52 patients enrolled in the study, 48 (92%) were women (Table 1). Twenty-seven patients (52%) were diagnosed with papilledema on the basis of a change in the appearance of optic disc elevation identified by the masked neuro-ophthalmologist at or before 6 months on fundus photography; 25 (48%) were diagnosed with pseudopapilledema. The average age and sex distribution were similar in both the pseudopapilledema and papilledema groups (Table 1). The distribution of optic disc swelling as described by Frisen grade is shown in Table 1; higher grades of optic disc swelling were seen in patients with papilledema. The median baseline pRNFL thickness and median DpRNFL thickness were greater among patients who had a higher Frisen grade of optic disc swelling (P , 0.001). Differences in Optical Coherence Tomography Parameters Between Patients With Papilledema and Pseudopapilledema As shown in Table 1, the mean baseline pRNFL (P , 0.001), DpRNFL (P , 0.001), baseline TRT (P , 0.001), DTRT (P , 0.001), final TRT (P = 0.047), baseline ONHV (P , 0.001), and DONHV (P , 0.001) were significantly higher among patients with papilledema. DGCL-IPL was also significantly lower in patients with papilledema (P = 0.02), although the amplitude of change (22.1mm) was small. Patients with mild optic disc swelling (Frisen grades 1 and 2) were separately analyzed to better represent the population of patients in whom the diagnosis of papilledema vs pseudopapilledema is more challenging. Among patients with mild optic disc swelling, baseline pRNFL (P = 0.002), DpRNFL (P , 0.001), baseline TRT (P = 0.002), DTRT (P , 0.001), baseline ONHV (P , 0.003), and DONHV (P , 0.001) remained significantly higher among patients with papilledema vs pseudopapilledema. The final pRNFL thickness (P = 0.051), final ONHV (P = 0.09), and baseline GCL-IPL (P = 0.82) did not differ significantly between groups. No significant correlation was found when comparing initial, final, or change in GCL-IPL thickness to 24-2 HVF mean deviation. Receiver Operator Curves for Optical Coherence Tomography Parameters in Detecting Papilledema Receiver operator curves (ROCs) were generated to assess each variable’s ability to differentiate between papilledema and pseudopapilledema (Table 2). DpRNFL, DTRT, and DONHV had the highest area under the curve (AUC). Examples of data thresholds that balanced sensitivity and specificity were selected from the ROC curves and are shown in Table 2. e511 Copyright © North American Neuro-Ophthalmology Society. Unauthorized reproduction of this article is prohibited. Original Contribution FIG. 1. Spectral-domain optical coherence tomography measurements of pRNFL, TRT, ONHV, and GCL-IPL thickness using 3D segmentation software. Examples of retinal layer segmentations using 3D graph-based algorithm. A and B. A central B-scan from a 200 · 200 macular cube scan with indicated segmentation of the GCL-IPL (yellow and green lines) and the 3D visualization. C and D. A central B-scan of the corresponding 200 · 200 optic disc cube scan with segmentation of the RNFL (red and orange lines) and lower bonding surface of the RPE complex (blue line) and the 3D visualization; the ONH volume (ONHV) was defined by the total volumetric space between the ILM and RPE/BM. E. The corresponding thickness map of the RNFL with regional peripapillary RNFL measurements, where the radius of the peripapillary circle is 1.73 mm. F. The corresponding thickness map of the total retina (between the ILM and the RPE/BM) with regional peripapillary TRT measurements using the same peripapillary circle. GCL-IPL, ganglion cell–inner plexiform layer; ONHV, optic nerve head volume; pRNFL, peripapillary retinal nerve fiber layer; RNFL, retinal nerve fiber layer; TRT, total retinal thickness. ILM, Inner Limiting Membrane; RPE/BM, Retinal Pigment Epithelium/ Bruch's Membrane complex. Optical Coherence Tomography Change in the Absence of Fundus Photographic Change A change in pRNFL thickness of $10 mm was detected in 7 patients who had a stable appearance on fundus photography and were therefore classified in the study as having pseudopapilledema. Results of ancillary testing such as MRI signs of increased intracranial pressure and opening pressure on lumbar puncture were reviewed for these 7 patients. Three of the 7 patients had evidence of raised intracranial e512 pressure on MRI and lumbar puncture, with an opening pressure .25 cm of H2O. One patient had a normal MRI but elevated opening pressure. Two patients had a normal MRI and borderline lumbar puncture opening pressures (24 cm H2O and 23 cm H2O), and one patient did not receive a lumbar puncture. Post hoc analysis of these 7 patients revealed that 5 of them were eventually diagnosed with papilledema by the treating neuro-ophthalmologist despite being classified as pseudopapilledema in the study. Jivraj et al: J Neuro-Ophthalmol 2021; 41: e509-e515 Copyright © North American Neuro-Ophthalmology Society. Unauthorized reproduction of this article is prohibited. Original Contribution TABLE 1. Demographic characteristics and optical coherence tomography measurements of patients with papilledema and pseudopapilledema No. of patients Age (SD) Sex (% female) Frisen grade optic disc swelling (%) Frisen grade 1 Frisen grade 2 Frisen grade 3 Frisen grade $4 RNFL thickness in microns (SD) Baseline pRNFL Baseline pRNFL (Frisen grade #2) Absolute change in pRNFL Absolute change in pRNFL (Frisen grade #2) Final RNFL TRT in microns (SD) Baseline TRT Baseline TRT (Frisen grade #2) Absolute change in TRT Absolute change in TRT (Frisen grade #2) Final TRT ONHV (SD) Baseline ONHV Baseline ONHV (Frisen grade #2) Absolute change in ONHV Absolute change in ONHV(Frisen grade #2) Final ONHV GCL-IPL thickness (SD) Baseline GCL-IPL Change in GCL-IPL Pseudopapilledema Papilledema P 25 37.5 (15.1) 23 (92.0%) 27 31.7 (10.5) 24 (88.9%) 0.11 0.70 21 (84%) 3 (12%) 1 (4%) 0 (0%) 5 9 5 8 (19%) (33%) (19%) (30%) 110.1 mm (21.0) 110.1 mm (21.4) 9.1 mm (8.7) 9.3 mm (8.9) 104.1 mm (19.7) 241.1 mm (136.5) 151.3 mm (54.6) 116.1 mm (110.1) 52.3 mm (46.5) 120.1 mm (34.3) ,0.001* 0.002* ,0.001* ,0.001* 0.051 331.4 mm (34.8) 330.8 mm (35.4) 12.1 mm (11.5) 12.3 mm (11.7) 322.5 mm (32.5) 494.4 mm (163.0) 386.6 mm (71.3) 145.1 mm (131.7) 70.3 mm (62.0) 345 mm (44.3) ,0.001* 0.002* ,0.001* ,0.001* 0.047* 12.0 mm3 (1.2) 12.0 mm3 (1.2) 0.5 mm3 (0.4) 0.5 mm3 (0.4) 11.7 mm3 (1.2) 15.6 mm3 (3.1) 13.5 mm3 (1.7) 3.2 mm3 (2.2) 2.1 mm3 (1.4) 12.4 mm3 (1.5) ,0.001* 0.003* ,0.001* ,0.001* 0.09 84.5 mm (8.2) 20.8 mm (1.4) 83.9 mm (8.9) 22.1 mm (2.0) 0.82 0.02* *Statistical significance. GCL-IPL, ganglion cell layer–inner plexiform layer; ONHV, optic nerve head volume; pRNFL, peripapillary retinal nerve fiber; TRT, total retinal thickness. Although the optic nerve swelling did not appreciably change on fundus photographs in the 7 patients that showed change in OCT RNFL thickness, 5 of the 7 were diagnosed with true papilledema based on ancillary testing. Post Hoc Analysis Twenty-five patients were classified as having pseudopapilledema using the study definition. The study diagnosis was compared with the treating neuro-ophthalmologist’s final diagnosis for these patients. Fourteen of these patients were diagnosed with pseudopapilledema by the treating neuroophthalmologist (56%) while 11 were diagnosed with papilledema (44%). The ancillary study results of 11 patients with conflicting diagnosis (i.e., a study diagnosis of pseudopapilledema but a diagnosis of papilledema by the treating neuroophthalmologist) were separately analyzed (Fig. 2). DISCUSSION A gold standard diagnostic test that can distinguish between papilledema and pseudopapilledema does not exist. The Jivraj et al: J Neuro-Ophthalmol 2021; 41: e509-e515 diagnosis of papilledema is made clinically based on the patient’s symptoms, signs of raised intracranial pressure, and ancillary tests, such as MRI, lumbar puncture, and ultrasonography. This study prospectively examined the utility of baseline and longitudinal OCT parameters in differentiating papilledema from pseudopapilledema among patients with optic disc elevation. SD-OCT has shown much promise by providing an objective assessment of the optic nerve head and macular thickness; however, proprietary software present in the OCT machine is prone to errors in reproducibility and variability. By analyzing data using 3D segmentation software, we were able to obtain accurate measurements of various optic nerve head parameters at baseline and follow-up. We found that baseline pRNFL, TRT, and ONHV thicknesses were significantly greater among patients with papilledema, even among patients with mild optic disc swelling. These findings largely concur with previously published data. In a retrospective case–control series, Bassie et al found that the mean pRNFL thickness and sectoral measurements of TRT were higher among patients with papilledema (185.4 mm) vs pseudopapilledema (122.3 mm) e513 Copyright © North American Neuro-Ophthalmology Society. Unauthorized reproduction of this article is prohibited. Original Contribution TABLE 2. Area under the curve (AUC) and sample sensitivity and specificity of OCT measurements for detecting papilledema AUC Baseline pRNFL thickness Change in pRNFL thickness Baseline TRT Change in TRT Baseline ONHV Change in ONHV 0.88 0.93 0.88 0.94 0.87 0.95 (0.77–0.98) (0.84–1.00) (0.78–0.98) (0.87–1.00) (0.76–0.97) (0.90–1.00) Measurement Sensitivity Specificity 119.1 13.5 355.6 0.0644 12.7 0.0774 91.3% 88.5% 81.5% 88.5% 88.9% 88.5% 85.7% 87.5% 84.0% 91.7% 76.0% 87.5% OCT, optical coherence tomography; ONHV, optic nerve head volume; pRNFL, peripapillary retinal nerve fiber; TRT, total retinal thickness. and controls (91.6 mm), but this study included both patients with buried and superficial optic disc drusen (16). A retrospective study by Fard et al found that patients with mild papilledema had a greater mean pRNFL thickness (156.3 mm) than those with pseudopapilledema (113.8 mm), and a pRNFL thickness greater than 127 mm had 73% sensitivity and specificity for papilledema (4). In Fard et al’s prospective study using OCT and OCT angiography, pRNFL thickness was greater among patients with papilledema vs pseudopapilledema and healthy controls, although the ganglion cell complex thickness was not different between groups (10). Other studies comparing patients with papilledema to normal patients observed greater sensitivity of TRT over pRNFL in detecting mild papilledema (5,17), although our study found that pRNFL and TRT had similar sensitivity (4). Our study offers an important finding that longitudinal change in pRNFL, TRT, and ONHV had a greater diagnostic value than baseline SD-OCT parameters to differentiate papilledema from pseudopapilledema. Analysis of ROCs revealed that DpRNFL, DTRT, and DONHV had the highest AUC and therefore were best able to differentiate between papilledema and pseudopapilledema vs baseline SD-OCT parameters. It is important note that the effects of lifestyle modifications such as weight loss and intracranial pressure lowering agents were not accounted for in the study and almost certainly influenced the amplitude of change in OCT parameters among treated patients with papilledema. SD-OCT parameters such as change in pRNFL thickness likely captures subclinical change in peripapillary dimensions, and when detected, should prompt a reassessment of the likelihood of raised intracranial pressure. We acknowledge that the criteria used for this study (i.e., a change in the appearance of optic disc swelling between initial and follow-up visits on fundus photography) is not a perfect method to diagnose papilledema. Identifying a change in optic disc appearance in the setting of mild papilledema may be challenging, and the 6-month interval that was chosen for study purposes may have been too short to detect a change. We acknowledge that there can be inherent variability in interpretation of optic disc edema, even by experienced neuro-ophthalmologists (6). Moreover, e514 we acknowledge that clinical symptoms, MRI findings, and measurement of CSF opening pressure may guide the diagnosis when the fundus appearance is equivocal, although test results may conflict. In our study, 44% of patients diagnosed with pseudopapilledema based on the study definition were actually diagnosed with papilledema by the treating neuro-ophthalmologist. Such patients, who had an undetectable change in disc swelling on fundus photography, could have been misclassified, especially when MRI findings of intracranial hypertension were present, lumbar puncture demonstrated elevate opening pressure, or OCT demonstrated a change in pRNFL $10 mm. Future studies will need to determine more stringent definitions of pseudopapilledema and true papilledema. Our study offers several strengths. Foremost, this was a prospective study that included all patients referred with optic disc elevation, making the study population representative of undifferentiated patients referred to neuroophthalmic practices. Other studies included patients with pseudopapilledema only if they demonstrated buried optic FIG. 2. Results of ancillary studies for patients who fulfilled study criteria for pseudopapilledema but were diagnosed with papilledema by the treating neuro-ophthalmologist. Results of ancillary studies are shown for the 11 patients who met the study criteria for pseudopapilledema but were diagnosed with papilledema by the treating neuro-ophthalmologist. “MRI”—signs of elevated opening pressure were present on MRI; “LP”—elevated opening pressure of .25 cm H2O; “OCT” $10 mm change of pRNFL thickness from baseline visit to study completion. OCT, optical coherence tomography; pRNFL, peripapillary retinal nerve fiber thickness. Jivraj et al: J Neuro-Ophthalmol 2021; 41: e509-e515 Copyright © North American Neuro-Ophthalmology Society. Unauthorized reproduction of this article is prohibited. Original Contribution disc drusen on ultrasound; however, this study was inclusive of all forms of pseudopapilledema. We separately analyzed patients with mild optic disc elevation to isolate the population of patients whose diagnosis is most in question. The 6 months of longitudinal follow-up enabled analysis of longitudinal change in SD-OCT parameters. The use of SD-OCT with 3D segmentation software provided more accurate retinal layer segmentation than would be expected from proprietary 2D segmentation software (11). 7. CONCLUSION 8. This prospective longitudinal study confirms the high sensitivity and specificity of baseline SD-OCT parameters, such as pRNFL thickness, TRT, and ONHV. We demonstrate the greater diagnostic utility of longitudinal change in these parameters in differentiating patients with papilledema from those with pseudopapilledema. 5. 6. 9. 10. STATEMENT OF AUTHORSHIP Category 1: a. Conception and design: I. Jivraj, C. Alfaro, M. Pistilli, A. A. Kohli, G. T. Liu, K. S. Shindler, R. A. Avery, M. K. Garvin, J.-K. Wang, A. Ross, and M. A. Tamhankar; b. Acquisition of data: I. Jivraj, C. Alfaro, A. A. Kohli, G. T. Liu, K. S. Shindler, and R. A. Avery; c. Analysis and interpretation of data: I. Jivraj, C. Alfaro, M. Pistilli, A. A. Kohli, G. T. Liu, K. S. Shindler, R. A. Avery, M. K. Garvin, and M. A. Tamhankar. Category 2: a. Drafting the manuscript: I. Jivraj, C. Alfaro, M. Pistilli, A. A. Kohli, G. T. Liu, K. S. Shindler, R. A. Avery, M. K. Garvin, J.-K. Wang, A. Ross, and M. A. Tamhankar; b. Revising it for intellectual content: I. Jivraj, M. Pistilli, A. A. Kohli, G. T. Liu, K. S. Shindler, R. A. Avery, M. K. Garvin, J.-K. Wang, and M. A. Tamhankar. Category 3: a. Final approval of the completed manuscript: I. Jivraj, C. Alfaro, M. Pistilli, A. A. Kohli, G. T. Liu, K. S. Shindler, R. A. Avery, M. K. Garvin, J.-K. Wang, A. Ross, and M. A. Tamhankar. 11. 12. 13. 14. REFERENCES 1. Heidary G, Rizzo JF III. Use of optical coherence tomography to evaluate papilledema and pseudopapilledema. Semin Ophthalmol. 2010;25:198–205. 2. Rebolleda G, Kawasaki A, de Juan V, Oblanca N, MunozNegrete FJ. Optical coherence tomography to differentiate papilledema from pseudopapilledema. Curr Neurol Neurosci Rep. 2017;17:74. 3. Kardon R Optical coherence tomography in papilledema: what am I missing? J Neuroophthalmol. 2014;34(suppl):S10–S17. 4. Fard MA, Fakhree S, Abdi P, Hassanpoor N, Subramanian PS. Quantification of peripapillary total retinal volume in pseudopapilledema and mild papilledema using spectral- Jivraj et al: J Neuro-Ophthalmol 2021; 41: e509-e515 15. 16. 17. domain optical coherence tomography. 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