January 2024
Volume 13, Issue 1
Open Access
Neuro-ophthalmology  |   January 2024
Which OCT Measure of the Optic Nerve Head Improves Fastest? Towards Optimizing Early Detection of Resolving Papilledema in Children
Author Affiliations & Notes
  • Tanmay V. Majmudar
    Drexel University College of Medicine, Philadelphia, PA, USA
  • Heather E. Moss
    Department of Ophthalmology, Stanford University, Palo Alto, CA, USA
    Department of Neurology and Neurological Sciences, Stanford University, Palo Alto, CA, USA
  • Robert A. Avery
    Divison of Ophthalmology, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
    Department of Ophthalmology, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
    Department of Neurology, The Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
  • Correspondence: Robert A. Avery, Division of Ophthalmology, The Children's Hospital of Philadelphia, 34th St. and Civic Center Blvd., Philadelphia, PA 19104, USA. e-mail: averyr@chop.edu 
Translational Vision Science & Technology January 2024, Vol.13, 12. doi:https://doi.org/10.1167/tvst.13.1.12
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      Tanmay V. Majmudar, Heather E. Moss, Robert A. Avery; Which OCT Measure of the Optic Nerve Head Improves Fastest? Towards Optimizing Early Detection of Resolving Papilledema in Children. Trans. Vis. Sci. Tech. 2024;13(1):12. https://doi.org/10.1167/tvst.13.1.12.

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Abstract

Purpose: Optical coherence tomography (OCT) has been used to monitor papilledema. This study aims to determine which OCT-derived measures of the optic nerve head (ONH) detect resolving papilledema in children faster than standard OCT measures.

Methods: Children (≤18 years of age) with papilledema who completed optic nerve SD-OCT pretreatment and had evidence of treatment response on one or more follow-up OCTs within 4 months were included. Standard (mean circumpapillary retinal nerve fiber layer [cpRNFL] thickness), device-derived (per-quadrant cpRNFL) and custom (ONH height, maximum Bruch's membrane displacement [BMD], ONH volume [ONHV], and BMD volume) OCT measures were calculated. Per-eye generalized estimating equations (GEEs) modelled changes in device-derived and custom measures as a function of mean cpRNFL to identify those measures that resolved faster during early (0–2 months) follow-up. Mean cpRNFL coefficients of greater than 1 indicated faster resolving papilledema.

Results: We included 52 eyes of 29 children (mean age, 12.8 years; 72.4% female). In analysis of early follow-up visits (38 eyes from 22 children), nasal cpRNFL and maximum BMD in each quadrant resolved faster than mean cpRNFL (GEE coefficients range, 1.14–3.37). Inferior cpRNFL, superior, nasal, and inferior ONH heights and ONHV resolved slower than mean cpRNFL (GEE coefficients range, 0.67–0.87).

Conclusions: Nasal cpRNFL is a promising device-derived OCT measure for the early detection of resolving papilledema in children compared with mean cpRNFL. Maximum BMD, a custom measure, also shows promise, but its calculation has not yet been incorporated into commercial OCT devices.

Translational Relevance: This study guides the optimal use of OCT in capturing resolving papilledema in children.

Introduction
Papilledema is swelling of the optic nerve head (ONH) in the setting of an elevated intracranial pressure (ICP).1 It is well-established that severe and/or prolonged papilledema can result in permanent vision loss.1,2 To alleviate symptoms and prevent irreversible visual disability, therapies are aimed at decreasing cerebrospinal fluid pressure through pharmacological3 or surgical approaches.4 Determining therapeutic efficacy in the short term is desirable to effectively balance the need for more aggressive treatment with the risks associated with unnecessary escalations in therapy. This goal is especially challenging in the pediatric population, where the measurement of visual function and reports of symptoms are less reliable.5 Existing tools to serially monitor visual function in patients with papilledema, including visual acuity testing and automated visual fields, may not be feasible in many young children. In addition, although optic disc edema can be monitored on ophthalmoscopy, evaluation of disc appearance is subjective, limited by poor inter-rater reliability6 and limited ability to detect to small changes in swelling. As such, there is a need for more sensitive and reliable biomarkers of papilledema to monitor early therapeutic response in children and identify those patients needing additional treatment. 
Optical coherence tomography (OCT) is a noninvasive retinal imaging tool that has shown promise in the diagnosis and monitoring of papilledema by capturing ONH swelling through circumpapillary retinal nerve fiber layer (cpRNFL) thickening. Fixed circle scans centered on the ONH are used to measure the cpRNFL thickness and the average thickness across the circumference of this scan pattern is commonly reported as the mean cpRNFL. In both adult and pediatric patients, increased OCT-based mean cpRNFL thickness correlates with cerebrospinal fluid pressure and the severity of papilledema.713 However, prior studies have noted that this increase is often not symmetric, with increased cpRNFL thickness favoring the superoinferior to temporal sites via the nasal zone.14 Recent outcomes from the Idiopathic Intracranial Hypertension Treatment Trial (IIHTT) OCT substudy demonstrated the usefulness of monitoring longitudinal decreases in standard mean cpRNFL thickness after papilledema therapy.15 However, whether regional variations in cpRNFL thickness have application to monitoring resolving papilledema has not yet been elucidated. 
Custom OCT measures have also been developed to capture ONH changes in papilledema, including shape and volumetric measures of the ONH9,1520 and peripapillary Bruch's membrane (BM).2026 Previous work has noted that such custom measures of optic disc morphology may be more sensitive in detecting changes in papilledema compared with cpRNFL measurements, which are located at the periphery of the pathological process, and can capture changes in morphology quickly after acute papilledema treatment. However, the study of such custom measures in children has been limited to a few cross-sectional27 and longitudinal28,29 reports. Accordingly, in this retrospective study of children with papilledema who were followed serially with OCT imaging after the initiation of treatment, we investigated the hypothesis that OCT device-derived, per-quadrant changes in cpRNFL, as well as changes in custom shape and volumetric measures of the ONH, could be more useful in registering early therapeutic response than the standard measure of mean cpRNFL. 
Methods
Study Design and Participants
This retrospective, longitudinal study evaluated children 18 years old or younger who presented to the Children's Hospital of Philadelphia between January 2016 and December 2020. The study adhered to the tenets of the Declaration of Helsinki and was approved with waiver of informed consent by the Institutional Review Board at the Children's Hospital of Philadelphia. 
Subjects were included if they (1) were aged 18 years or younger, (2) underwent treatment for diagnosed or suspected papilledema in the setting of idiopathic intracranial hypertension (IIH) (i.e., primary pseudotumor cerebri syndrome), secondary pseudotumor cerebri syndrome, or papilledema secondary to a tumor, and (3) completed traditional cpRNFL and enhanced depth imaging raster scan protocol of the ONH using Heidelberg Spectralis SD-OCT (Heidelberg Engineering Inc., Heidelberg, Germany) on at least two separate visits in the first 4 months of treatment, including a pretreatment visit and one showing resolving papilledema, defined as a 10% or greater decrease in mean cpRNFL relative to pretreatment in an eye. The exclusion criteria were (1) worsening papilledema (i.e., >10% increase in mean cpRNFL relative to the pretreatment visit) before the first resolving visit and (2) poor quality OCT images precluding appropriate segmentation of the internal limiting membrane (ILM) and/or BM. 
OCT Image Acquisition
OCT images of the ONH and the macula were obtained as part of clinical care. The ONH imaging protocol at our institution is performed using Heidelberg Spectralis and consists of 24 high-resolution enhanced depth imaging radial B-scans separated by 7.5°, centered over the ONH with an automatic real time (ART) of 9. Each B-scan is 20° (1024 pixels) in length. Circular B-scans (standard diameter of 3.4 mm; ART = 16) centered over the ONH are also obtained. The macular scan protocol acquires 61 single horizontal axial B-scans in a 30° × 25° rectangle (∼10 mm × 10 mm; ART = 3) centered over the fovea. 
OCT Image Analysis: Calculating Standard, Device-Derived, and Custom Measures
The thicknesses of standard (mean cpRNFL) and device-derived (per-quadrant cpRNFL) OCT measures were extracted from the consecutive circular B-scans using automated tools included with the device software (Heidelberg Eye Explorer: HEYEX, Heidelberg Engineering Inc., Heidelberg, Germany). 
For custom OCT measures, segmentation of the retinal layers in each of the 24 radial B-scans for each eye was performed automatically using device software. We used ILM and BM, with BM margins on either side of the optic nerve opening joined together through interpolation. Raw format optic nerve OCT images (*.vol files) including the segmented ILM and BM curves were exported. Using customized MATLAB software (v2018a, The Mathworks, Inc., Natick, MA), custom shape (per-quadrant ONH height [ONHH] and maximum BM displacement [BMD]) and volumetric (ONH volume [ONHV] and BMD volume [BMDV]) measures of the ONH were calculated. Details of this process were adapted from a previously published technique.20,30 Briefly, the y (axial) and x coordinates of the segmentations were scaled to micrometers using scan-specific pixel-to-µm scaling factors. Radial B-scans were truncated to 2.51 mm on either side of the scan midpoint based on the width of the shortest scan in the dataset. On central B-scans from each peripapillary quadrant (i.e., the 0°, 90°, 180°, and 270° radial scans), the ONHH was defined as the maximal difference between the ILM and the BM (Fig. 1). The maximum BMD was defined as the maximal difference between the BM and a secant line formed by connecting the outermost BM points (Fig. 1). More positive displacement values indicate that the BM is more anterior to the secant line. Negative (or less positive) maximum BMD values indicated a posteriorly displaced BM layer. 
Figure 1.
 
Methods for calculating the custom shape measurements of the ONH using OCT B-scans. The ILM and BM were segmented on each OCT B-scan (top) to generate the superior (ILM) and inferior (BM) boundaries (shown as solid black lines in the bottom) of the ONH tissue (shown in gray shading in the bottom). Measurement of the ONHH is shown in the bottom left (solid black arrows) as the maximal difference between ILM and BM on either side of the neural canal opening (vertical dotted line). Likewise, measurement of the maximum BMD is shown in the bottom right (solid black arrows) as the maximum displacement of BM away from an arbitrary secant line (dashed) connecting the outermost points of the BM.
Figure 1.
 
Methods for calculating the custom shape measurements of the ONH using OCT B-scans. The ILM and BM were segmented on each OCT B-scan (top) to generate the superior (ILM) and inferior (BM) boundaries (shown as solid black lines in the bottom) of the ONH tissue (shown in gray shading in the bottom). Measurement of the ONHH is shown in the bottom left (solid black arrows) as the maximal difference between ILM and BM on either side of the neural canal opening (vertical dotted line). Likewise, measurement of the maximum BMD is shown in the bottom right (solid black arrows) as the maximum displacement of BM away from an arbitrary secant line (dashed) connecting the outermost points of the BM.
A trapezoidal method of approximation was used to calculate custom volumetric measures of the ONH as previously published.20 Each of the 24 radial B-scans yielded an optic nerve height curve, that is, ILM–BM at each pixel, as a function of the distance from the optic nerve center. Trapezoidal prisms were then interpolated between each of these adjacent optic nerve height curves. The ONHV was defined as the sum of these trapezoidal prisms. The BMDV was calculated similarly except using the secant lines instead of the ILM. If the ILM and/or BM segmentations from some radial B-scans were unavailable owing to poor image quality, then 12, 8, or 6 radial B-scans were used to ensure 360° coverage of the ONH. 
The combined ganglion cell layer and inner plexiform layer (GCIPL) thickness was extracted from the macular thickness map generated using the automated segmentation and then manually corrected by the same experienced operator. GCIPL thickness values from the inner and outer superior, nasal, inferior, and nasal quadrants were averaged to compute the mean GCIPL. 
Data Analysis
Each eligible eye in this study was regarded as a unit of analysis. First, changes in OCT variables were modelled as a function of time (in weeks after the pretreatment visit) to determine which OCT measures reflect decreasing swelling during the first four months of treatment. All available visits in this window were considered. Generalized estimating equation (GEE) models, accounting for intereye correlation and longitudinal correction for each subject, were constructed to calculate the mean change per week in each OCT measure. In each model, an OCT measure was the dependent variable and time was the independent variable, with a statistically significant slope being indicative of change. A P value of less than 0.05 was considered statistically significant. 
Next, early follow-up visits (0–2 months after the pretreatment visit) were considered. Per-eye GEEs modelled the percent change in each OCT measure between pretreatment and these early follow-up visits, as a function of the corresponding percent change in mean cpRNFL over the same interval. OCT measures with 95% CI for a slope of greater than 1 were identified to have a greater decrease than mean cpRNFL in early stages of treatment and hence, capture resolving papilledema earlier than standard mean cpRNFL. A Bonferroni multiple comparison adjustment was made for these comparisons (P < 0.00357, translating to a confidence interval of 99.642%, was accepted as statistically significant). 
For the macular analysis, we compared mean GCIPL thickness across the pretreatment, early (0–2 month) follow-up, and late (2–4 month) follow-up visits using GEE models accounting for within-subject inter-eye correlations. A Bonferroni multiple comparison adjustment was made for these pairwise comparisons (P < 0.0167 was accepted as statistically significant). All statistical analyses were performed using SPSS statistical software (v28, IBM, Armonk, NY). 
Results
Initially, 56 eyes from 31 patients showing resolving papilledema within the first 4 months of treatment met the inclusion criteria. Two eyes (from the same patient) were excluded owing to worsening papilledema (i.e., a >10% increase in the mean cpRNFL relative to the pretreatment visit) before the first resolving visit, and an additional two eyes were excluded owing to poor quality OCT images rendering segmentation of the ILM and/or BM difficult. The remaining 52 eyes from 29 patients were included. Study participants are summarized in Table 1. Of the 52 eyes analyzed, 11 used less than the complete set (i.e., 24) set of raster scans for volumetric measurements. In analysis of early (0–2 months after the start of treatment) follow-up, 38 eyes from 22 children were considered. 
Table 1.
 
Clinical Data for Study Participants Meeting the Inclusion Criteria
Table 1.
 
Clinical Data for Study Participants Meeting the Inclusion Criteria
Changes in OCT Measures of the ONH Over Time
Results from the per-eye GEE models for evaluating longitudinal time trends for each OCT measure during the first 4 months of treatment are presented in Table 2 and Figure 2. The mean rate of change for all standard and device-derived OCT measures (mean and per-quadrant cpRNFL) ranged from −8.73 to −3.87 µm/week. Both OCT-based custom shape measures of the ONH showed decreases in swelling during the first four month after starting treatment. The mean rate of change for ONHH and BMDV in each peripapillary quadrant ranged from −23.40 to −21.06 µm/week and from −5.11 to −3.44 µm/week, respectively. The mean rate of change per week for OCT-based custom volumetric measures ranged from −1.06 mm3/week for the ONHV to −0.11 mm3/week for the BMDV. Given a significant negative rate of change for all standard, device-derived, and custom OCT measures, all these measures were considered as candidates for early capture of resolving papilledema. 
Table 2.
 
Per-eye GEE Model Results for the Average Rate of Change in Standard (Mean cpRNFL), Device-derived (Per-quadrant cpRNFL), Custom Shape (Per-quadrant ONHH and Maximum BMD), and Volumetric (ONHV and BMDV) OCT Measures per Week After the Pretreatment Visit (All Eyes Included With n = 52 at Baseline)
Table 2.
 
Per-eye GEE Model Results for the Average Rate of Change in Standard (Mean cpRNFL), Device-derived (Per-quadrant cpRNFL), Custom Shape (Per-quadrant ONHH and Maximum BMD), and Volumetric (ONHV and BMDV) OCT Measures per Week After the Pretreatment Visit (All Eyes Included With n = 52 at Baseline)
Figure 2.
 
(AO) Scatter plots of standard, device-derived, and custom OCT measures as a function of time. Each marker on each scatter plot represents OCT measures from a single eye examined at a given follow-up visit (in weeks after the pretreatment visit). Regression lines calculated from the per-eye GEE models are shown as solid black lines.
Figure 2.
 
(AO) Scatter plots of standard, device-derived, and custom OCT measures as a function of time. Each marker on each scatter plot represents OCT measures from a single eye examined at a given follow-up visit (in weeks after the pretreatment visit). Regression lines calculated from the per-eye GEE models are shown as solid black lines.
Comparing Mean cpRNFL and OCT-based Device-Derived and Custom Measures in Early Follow-Up (0–2 Months)
Figure 3 illustrates the percent change in each device-derived and custom OCT measure between visits during early follow-up (0–2 months) compared with pretreatment as a function of the corresponding percent change in mean cpRNFL. Shallow slopes (<1) indicate a slower change than mean cpRNFL, and steeper slopes (>1) indicate a faster change than mean cpRNFL for the y axis measure. Results from the per-eye GEE models that evaluated these relationships are summarized in Figure 4. In the early follow-up visits (0–2 months), nasal cpRNFL and maximum BMD in each peripapillary quadrant showed a faster change than the mean cpRNFL, whereas the inferior cpRNFL; superior, nasal, and inferior ONHH; and ONHV showed slower changes. 
Figure 3.
 
Scatter plots of percent change in device-derived and custom OCT measures of the ONH between baseline and early (0–2 months) follow-up visits as a function of the corresponding percent change in standard mean cpRNFL. Each marker indicates a single eye at a certain time. Follow-up data up to 2 months are included. The red line represents the regression line calculated with the per-eye GEE model and the dashed blue line represents a slope of 1, representing similar evolution. OCT measures that resolve significantly faster (slope steeper than 1) or slower (slope shallower than 1) than the mean cpRNFL are indicated using a red * in the top left corner of each scatter plot.
Figure 3.
 
Scatter plots of percent change in device-derived and custom OCT measures of the ONH between baseline and early (0–2 months) follow-up visits as a function of the corresponding percent change in standard mean cpRNFL. Each marker indicates a single eye at a certain time. Follow-up data up to 2 months are included. The red line represents the regression line calculated with the per-eye GEE model and the dashed blue line represents a slope of 1, representing similar evolution. OCT measures that resolve significantly faster (slope steeper than 1) or slower (slope shallower than 1) than the mean cpRNFL are indicated using a red * in the top left corner of each scatter plot.
Figure 4.
 
Interval plots representing the slope of the percent change in device-derived (per-quadrant cpRNFL) and custom shape (per-quadrant ONHH and maximum BMD [Max BMD]) and volumetric (ONHV and BMDV) OCT measures of the ONH between baseline and early (0-2 months) follow-up visits as a function of the corresponding percent change in mean cpRNFL. The markers represent the point estimate of the slope from the GEE models and the error bars are the 99.6% confidence interval. The red-dotted line represents a slope of 1. OCT measures with a CI excluding 1 showed faster (slope >1) or slower (slope < 1) resolving papilledema compared with mean cpRNFL during early treatment.
Figure 4.
 
Interval plots representing the slope of the percent change in device-derived (per-quadrant cpRNFL) and custom shape (per-quadrant ONHH and maximum BMD [Max BMD]) and volumetric (ONHV and BMDV) OCT measures of the ONH between baseline and early (0-2 months) follow-up visits as a function of the corresponding percent change in mean cpRNFL. The markers represent the point estimate of the slope from the GEE models and the error bars are the 99.6% confidence interval. The red-dotted line represents a slope of 1. OCT measures with a CI excluding 1 showed faster (slope >1) or slower (slope < 1) resolving papilledema compared with mean cpRNFL during early treatment.
Changes in Macular GCIPL Measurements Over Time
Of the 52 eyes from 29 children that met inclusion criteria, macular scans with technically adequate GCIPL data were available for 41 eyes from 24 children at the pretreatment visit. During the early follow-up visit (i.e., the last available OCT visit during the first 2 months of treatment), macular GCIPL data were available for 31 eyes. During the late follow-up visit (i.e., the last available OCT visit 2–4 months after the start of treatment), macular GCIPL data were available for 15 eyes. The mean GCIPL thickness was not statistically different between early and later follow-ups compared with pretreatment (Fig. 5). 
Figure 5.
 
Macular mean GCIPL thickness changes over time. Box-and-whisker plots of the pretreatment values and those at the early and late follow-up visits (FUV) are provided. Horizontal lines in the boxes mark the median and the interquartile range, whiskers mark the minimum and maximum, and the plus sign marks the average. No statistically significant (P < 0.017, GEE analysis) differences in mean GCIPL thickness were noted between the indicated visits.
Figure 5.
 
Macular mean GCIPL thickness changes over time. Box-and-whisker plots of the pretreatment values and those at the early and late follow-up visits (FUV) are provided. Horizontal lines in the boxes mark the median and the interquartile range, whiskers mark the minimum and maximum, and the plus sign marks the average. No statistically significant (P < 0.017, GEE analysis) differences in mean GCIPL thickness were noted between the indicated visits.
Discussion
In this retrospective longitudinal study, we evaluated the potential of device-derived and custom developed OCT measures of ONH morphology for the early detection of resolving papilledema in children. Our study provides novel longitudinal data for these measures of ONH swelling during the first several months of resolving disease. Our results indicate that the commercially available measure of cpRNFL thickness in the nasal quadrant can detect resolving papilledema earlier than mean cpRNFL. Of the custom measures, the maximum BMD in each peripapillary quadrant also resolved faster than mean cpRNFL during early treatment, but computation of this metric warrants intensive image processing methods that are not integrated currently with commercial systems in the clinical setting. Direct shape (i.e., per-quadrant ONHH) and volumetric (i.e., ONHV) measurements of the ONH demonstrated slower changes. 
Similar longitudinal data in the pediatric population are sparse. In a study of 14 pediatric patients with papilledema secondary to IIH or other known etiologies, Landau et al.31 reported that improvements in the mean cpRNFL thickness were evident as early as 1 week after optic nerve sheath fenestration. In a case series of two pediatric IIH patients, Loo et al.32 noted resolving papilledema, as measured by mean cpRNFL thickness, as early as 3 months without corresponding changes on fundoscopy and with complete resolution evident by 6 months in both patients. Thus, although the longitudinal trends shown in this study are not particularly surprising, they corroborate and extend the results of previous longitudinal OCT studies in both the pediatric and adult9,15 papilledema populations and contribute further evidence that the studied OCT-based standard, device-derived, and custom measures can capture improvements in papilledema over time. 
Because the mean cpRNFL thickness summarizes information about structural changes around the optic disc, clinicians may consider this measure to diagnose papilledema; however, studies comparing longitudinal cpRNFL data across peripapillary quadrants with the traditionally used mean cpRNFL during resolving disease are limited. A prospective cohort study by Rebolleda and Muñoz-Negret33 reported mean and per-quadrant cpRNFL data at the baseline visit and 3-, 6-, and 12-month follow-up visits in a cohort of 22 adult patients with mild papilledema during treatment. At the 3-month visit, the mean cpRNFL thickness decreased by 31.9% compared with baseline. The only peripapillary quadrant to report a greater decrease was the nasal quadrant (mean decrease of 34.2%), although a statistical comparison was not reported. Our findings in the present study parallel these observations, showing that OCT-measured changes in cpRNFL thickness after treatment for papilledema are not uniform along spatial meridians. The reason for such a differential response in cpRNFL decrease after therapy is not known, but it might reflect underlying differences in the anatomical structure of the ONH, including the acute angle of ONH insertion nasally, or from the fact that the axoplasmic pressure gradients that produce papilledema are themselves differentially distributed. 
BM shape changes and deflection have been proposed as markers for early ICP treatment. In this study, displacement of the BM in each peripapillary quadrant showed a faster decrease in ONH swelling compared with mean cpRNFL in the early follow-up period. The mean slopes of the %∆ in maximum BMD/%∆ mean cpRNFL ranged from 2.68 to 3.37, which were greater than that of the %∆ nasal cpRNFL/mean cpRNFL (m = 1.14), which suggests even better potential for early detection of resolving papilledema with these custom measures. BMDV showed an even higher mean slope of approximately 11.8, but this measure did not reach statistical significance owing to variability in the data. The use of shape and volumetric measures of the BM as potential biomarkers to measure the early success of lowering ICP has been reported in adults with papilledema.21,24,34,35 These studies have reported that the geometric shape of peripapillary BM/retinal pigment epithelium in adult patients with intracranial hypertension is angulated anteriorly towards the vitreous (similar to the more positive absolute maximal displacement of the BM in our study) and later showed that, in patients who underwent interventions to lower ICP, there was a measurable posterior displacement of the BM as early as 1 hour (after lumbar puncture and shunting procedures) with an eventual return toward normal within the first 3 months of medical therapy. The principal component analyses used by these authors, however, warrant significant analysis efforts and do not necessarily reflect an intuitive method to monitor resolving edema in the real-world clinical setting. Simpler approaches to measure BM configuration, including directly calculated BM/retinal pigment epithelium angle, have reflected decreased ONH swelling in the hyperacute setting.36 In the current study, we directly compared the early dynamic changes in image-based structural parameters of the BM with mean cpRNFL. Our results build on prior literature by contributing evidence that absolute displacement of the BM can detect resolving papilledema in children faster than the mean cpRNFL, especially in the early weeks to months of therapy. 
Longitudinal data on maximum BMD in all peripapillary quadrants and BMDV were characterized by a degree of variability leading to concerns regarding the reliability and predictive capability of these measures in real-world clinical decision-making. A source of this variability includes our use of automatic segmentation of the BM, which is prone to artifact in the peripapillary region, especially when severe ONH swelling shadows the BM margins. In addition, accuracy in segmentation algorithms at the BM opening margins, a region prone to error, may be a contributing factor. In this study, we relied on a traditional method of BM representation, where a spline interpolation connected the BM opening margins on either side of the neural canal opening. Other segmentation methods that exclude regions of uncertain BM segmentation could possibly improve the precision of this measure in longitudinally monitoring papilledema.20 Irrespective of possible improvements in segmentation or the statistically significant findings noted in the current study, the lack of a commercially available algorithm that can quickly compute BM changes precludes the immediate, widespread use of these measures to guide clinical care. However, as OCT technology continues to advance, it is possible that the calculation of custom shape and volumetric measures of BM morphology will be integrated into commercially available algorithms and subsequently may supplement the use of device-derived nasal cpRNFL in gauging early response to papilledema treatment in children. 
Limited prior studies have reported longitudinal data on the protrusion height and volume of the ONH during resolving disease and showed ONHV to significantly decrease within 3.0 to 3.5 months of therapy.9,15 However, the dynamic changes in ONHH and ONHV have not previously been directly compared with mean cpRNFL in the early stages of papilledema treatment in children. Our results revealed that superior, nasal, and inferior ONHH as well as ONHV resolved more slowly compared with mean cpRNFL in the first 2 months of follow-up. These findings suggest that, although direct OCT measures of the ONH may be used to monitor papilledema changes over extended follow-up periods, they are slow to respond to variations in ICP and, thus, are not candidates for detecting early resolving disease when compared with device-derived measures like nasal cpRNFL. Optic disc swelling affects the prelaminar region before affecting the peripapillary area, where cpRNFL thickness is measured.37 Because ONHH and ONHV capture quantitative information regarding structures at or near this predominant site of axoplasmic stasis, then perhaps it is not too surprising that after treatment, they resolve more slowly than cpRNFL thickness, which measures more of the marginal zone of the pathologic process. 
We acknowledge that decreases in the cpRNFL thickness (and in other studied OCT measures) seen in the initial weeks after treatment in the current study could reflect, at least in part, axonal loss during the disease course. However, the longitudinal analysis of mean GCIPL did not reach statistical significance and the mean GCIPL loss over the study duration in these patients was small (approximately 2.02 µm, corresponding with 2.6% of the mean GCIPL thickness at presentation). Compared with normative values of GCIPL thickness in healthy children (aged 5–15 years)38 using the same OCT device (Heidelberg Spectralis), the GCIPL thickness in our study was abnormally thin (<5th percentile) in 5% of eyes before treatment. In a recent study of children with newly diagnosed brain tumors,39 the authors noted relatively high negative predictive values for the mean GCIPL thickness, thus signifying that normal GCIPL structure confers a relatively high certainty of intact visual function. This finding helps to support that the children in our cohort, with a largely normal GCIPL thickness, likely retained visual function and that decreases in cpRNFL and changes in BMD seen in this study reflect decreasing edema with contributions from underlying axonal damage and degeneration being limited. 
Limitations inherent to a retrospective study should also be considered when interpreting these results, including the potential for selection bias owing to the frequency of imaging. Subject follow-up times were also heterogenous owing to the clinical nature of the data analyzed. 
In conclusion, there is a need to detect early treatment response in children with papilledema. Our results indicate that nasal cpRNFL, a measure automatically calculated by most commercial OCT devices, may detect papilledema treatment response faster than mean cpRNFL. BMD, a custom OCT measure, may also detect resolving papilledema earlier than mean cpRNFL. However, computation of this metric involves intensive imaging processing methods, often with manual components, that are not included on current versions of commercial OCT device software. These results contribute to the evolving literature on the use of OCT to monitor papilledema in children during treatment. Further research that can validate the clinical usefulness of these findings is warranted. 
Acknowledgments
Funding provided by NIH P30 026877, an unrestricted grant from Research to Prevent Blindness, and The Richard Shafritz Endowed Chair in Pediatric Ophthalmology Research. 
Disclosure: T.V. Majmudar, None; H.E. Moss, None; R.A. Avery, None 
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Figure 1.
 
Methods for calculating the custom shape measurements of the ONH using OCT B-scans. The ILM and BM were segmented on each OCT B-scan (top) to generate the superior (ILM) and inferior (BM) boundaries (shown as solid black lines in the bottom) of the ONH tissue (shown in gray shading in the bottom). Measurement of the ONHH is shown in the bottom left (solid black arrows) as the maximal difference between ILM and BM on either side of the neural canal opening (vertical dotted line). Likewise, measurement of the maximum BMD is shown in the bottom right (solid black arrows) as the maximum displacement of BM away from an arbitrary secant line (dashed) connecting the outermost points of the BM.
Figure 1.
 
Methods for calculating the custom shape measurements of the ONH using OCT B-scans. The ILM and BM were segmented on each OCT B-scan (top) to generate the superior (ILM) and inferior (BM) boundaries (shown as solid black lines in the bottom) of the ONH tissue (shown in gray shading in the bottom). Measurement of the ONHH is shown in the bottom left (solid black arrows) as the maximal difference between ILM and BM on either side of the neural canal opening (vertical dotted line). Likewise, measurement of the maximum BMD is shown in the bottom right (solid black arrows) as the maximum displacement of BM away from an arbitrary secant line (dashed) connecting the outermost points of the BM.
Figure 2.
 
(AO) Scatter plots of standard, device-derived, and custom OCT measures as a function of time. Each marker on each scatter plot represents OCT measures from a single eye examined at a given follow-up visit (in weeks after the pretreatment visit). Regression lines calculated from the per-eye GEE models are shown as solid black lines.
Figure 2.
 
(AO) Scatter plots of standard, device-derived, and custom OCT measures as a function of time. Each marker on each scatter plot represents OCT measures from a single eye examined at a given follow-up visit (in weeks after the pretreatment visit). Regression lines calculated from the per-eye GEE models are shown as solid black lines.
Figure 3.
 
Scatter plots of percent change in device-derived and custom OCT measures of the ONH between baseline and early (0–2 months) follow-up visits as a function of the corresponding percent change in standard mean cpRNFL. Each marker indicates a single eye at a certain time. Follow-up data up to 2 months are included. The red line represents the regression line calculated with the per-eye GEE model and the dashed blue line represents a slope of 1, representing similar evolution. OCT measures that resolve significantly faster (slope steeper than 1) or slower (slope shallower than 1) than the mean cpRNFL are indicated using a red * in the top left corner of each scatter plot.
Figure 3.
 
Scatter plots of percent change in device-derived and custom OCT measures of the ONH between baseline and early (0–2 months) follow-up visits as a function of the corresponding percent change in standard mean cpRNFL. Each marker indicates a single eye at a certain time. Follow-up data up to 2 months are included. The red line represents the regression line calculated with the per-eye GEE model and the dashed blue line represents a slope of 1, representing similar evolution. OCT measures that resolve significantly faster (slope steeper than 1) or slower (slope shallower than 1) than the mean cpRNFL are indicated using a red * in the top left corner of each scatter plot.
Figure 4.
 
Interval plots representing the slope of the percent change in device-derived (per-quadrant cpRNFL) and custom shape (per-quadrant ONHH and maximum BMD [Max BMD]) and volumetric (ONHV and BMDV) OCT measures of the ONH between baseline and early (0-2 months) follow-up visits as a function of the corresponding percent change in mean cpRNFL. The markers represent the point estimate of the slope from the GEE models and the error bars are the 99.6% confidence interval. The red-dotted line represents a slope of 1. OCT measures with a CI excluding 1 showed faster (slope >1) or slower (slope < 1) resolving papilledema compared with mean cpRNFL during early treatment.
Figure 4.
 
Interval plots representing the slope of the percent change in device-derived (per-quadrant cpRNFL) and custom shape (per-quadrant ONHH and maximum BMD [Max BMD]) and volumetric (ONHV and BMDV) OCT measures of the ONH between baseline and early (0-2 months) follow-up visits as a function of the corresponding percent change in mean cpRNFL. The markers represent the point estimate of the slope from the GEE models and the error bars are the 99.6% confidence interval. The red-dotted line represents a slope of 1. OCT measures with a CI excluding 1 showed faster (slope >1) or slower (slope < 1) resolving papilledema compared with mean cpRNFL during early treatment.
Figure 5.
 
Macular mean GCIPL thickness changes over time. Box-and-whisker plots of the pretreatment values and those at the early and late follow-up visits (FUV) are provided. Horizontal lines in the boxes mark the median and the interquartile range, whiskers mark the minimum and maximum, and the plus sign marks the average. No statistically significant (P < 0.017, GEE analysis) differences in mean GCIPL thickness were noted between the indicated visits.
Figure 5.
 
Macular mean GCIPL thickness changes over time. Box-and-whisker plots of the pretreatment values and those at the early and late follow-up visits (FUV) are provided. Horizontal lines in the boxes mark the median and the interquartile range, whiskers mark the minimum and maximum, and the plus sign marks the average. No statistically significant (P < 0.017, GEE analysis) differences in mean GCIPL thickness were noted between the indicated visits.
Table 1.
 
Clinical Data for Study Participants Meeting the Inclusion Criteria
Table 1.
 
Clinical Data for Study Participants Meeting the Inclusion Criteria
Table 2.
 
Per-eye GEE Model Results for the Average Rate of Change in Standard (Mean cpRNFL), Device-derived (Per-quadrant cpRNFL), Custom Shape (Per-quadrant ONHH and Maximum BMD), and Volumetric (ONHV and BMDV) OCT Measures per Week After the Pretreatment Visit (All Eyes Included With n = 52 at Baseline)
Table 2.
 
Per-eye GEE Model Results for the Average Rate of Change in Standard (Mean cpRNFL), Device-derived (Per-quadrant cpRNFL), Custom Shape (Per-quadrant ONHH and Maximum BMD), and Volumetric (ONHV and BMDV) OCT Measures per Week After the Pretreatment Visit (All Eyes Included With n = 52 at Baseline)
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