Optical coherence tomography of the preterm eye: from retinopathy of prematurity to brain development

Introduction

Despite routine screening and advances in treatment, retinopathy of prematurity (ROP) remains a major cause of vision loss in children. It is estimated that 14,000–16,000 preterm infants in the USA are affected by some degree of ROP each year, and the rate of ROP is increasing worldwide. This disease entity is characterized by abnormal and premature arrest of developing retinal blood vessels. Early intervention and treatment of infants with ROP decrease the likelihood of blindness,¹ but visual abnormalities are still associated with treatment-requiring ROP (type 1 ROP). It is estimated that 65% of infants treated for ROP have visual acuity of less than 20/40 at school age.² The effects of ROP and its comorbidities on preterm infants go beyond vision. Previous studies conducted in older children with a history of ROP have reported poor neurodevelopmental outcomes associated with ROP.^3–11 These studies found that children with a history of ROP suffer mental retardation, cerebral palsy, autism, seizures, delayed gross motor skills, impaired speech and hearing, and other cognitive and neurologic abnormalities. However, most of these studies were conducted in children with severe ROP who went on to develop poor visual acuity and visual field defects. Msall et al^5,6 assessed the functional outcomes of infants from the Cryotherapy for Retinopathy of Prematurity Study at 5.5 years and found history of threshold ROP a strong risk factor for severe disability. These children further had developmental, social, and educational challenges at 8 years. Interestingly, even those children with better visual acuity had functional deficits. Allred et al¹² also observed that children with a history of severe ROP scored two to three standard deviations below the mean score on Bayley Scales of Infant and Toddler Development. This finding led to the hypothesis that preterm children may have reduced growth factors, such as insulin-like growth factor 1, which is critical for both brain and retinal development and usually supplied by the mother in utero. A more recent study by Beligere et al³ in India suggests that ROP zone rather than stage is more predictive of future neurodevelopmental delays. It is thus important to have early detection of neurodevelopmental abnormalities in these children for institution of early intervention.

As the human eye is a more accessible organ system for optical visualization than the brain, and thus more readily available for bedside imaging, it is proposed that assessment of normal and abnormal microanatomy of the preterm infant eye could be used as a screening tool for brain abnormalities.¹³ A better understanding of preterm retinal substructures and their association with brain anatomy will elucidate the pathway by which local retinal anatomic changes impact and predicts subnormal vision and central nervous system (CNS) function. It will also enable distinction between ocular and extraophthalmic (eg, CNS) causes of vision loss in children with a history of very preterm birth. Furthermore, retinal biomarkers may be identified to predict neurodevelopment in these infants. In contrast to indirect ophthalmoscopy or photography, novel noncontact ocular imaging at the bedside may enable direct telemedicine screening for ROP and neurodevelopment in multiple nurseries.¹⁴ This is aimed at improving preterm infant health care via objective bedside imaging and characterization of early critical indicators of poor vision and neurological development. We herein review the recent advances in bedside retinal imaging in infants with ROP and their correlations with brain development.

Optical coherence tomography

The advent and adaptation of multiple imaging modalities promise to change our understanding of ROP and neurodevelopment.^15,16 The diagnosis, classification, and monitoring of ROP and its response to treatment traditionally rely on indirect ophthalmoscopy of the fundus by an expert ophthalmologist. Optical coherence tomography (OCT) allows for in vivo, cross-sectional assessment of eye tissue, including the retina and its vasculature. By comparing the interference patterns of light that passes through live tissue to a reference arm, OCT provides high-resolution imaging of just a few microns of eye microanatomy.¹⁷ Advances in image acquisition and processing now allow for fully automated algorithms that can segment, or outline individual structures,¹⁸ and sum these serial images to create three-dimensional volumes,¹⁹ which can be compared across many different commercial platforms.²⁰ OCT has rapidly evolved from an experimental imaging modality to a mainstay of both research and clinical ophthalmology.

The translation of OCT to first children followed by infants has increased our understanding of pediatric eye pathologies ranging from pediatric glaucoma to pediatric retinal diseases.^21–24 This is especially important in ROP, where structural abnormalities in the retina and the vasculature have been linked to developmental delays.¹¹ OCT imaging was initially limited to school-age children who could comply with the upright chin-rest apparatus designed for adults. The challenges of imaging a noncompliant, supine infant required a new hardware. Joshi et al²⁵ used an unmounted tabletop system to image eyes with stage 4A ROP under general anesthesia in the operating room. Vinekar et al²⁶ similarly disassembled an OCT device and used the freed camera to image nonanesthetized eyes. Today, handheld spectral domain (SD)OCT devices allow for noncontact, portable imaging of supine infants at the bedside for both clinical and research purposes.²⁷ The mobile imaging hand piece is attached to a fiber optic cable and can be oriented at the appropriate angle directly above the nonsedated supine eye. Furthermore, Maldonado et al²⁸ created an age-dependent model to estimate the axial length of the infant eye, which is required to extrapolate lateral measurements. The bedside assessment of term and preterm infant eyes while in the nursery has led to a wealth of information regarding eye development and maturation. Bedside spectral domain optical coherence tomography (SDOCT) imaging (with the Envisu, Bioptigen Inc., Research Triangle Park, NC, USA) is performed with the infant supine within his or her incubator or bed, and with the examiner holding the eyelids open and this noncontact system over the eye. Rothman et al^27,28 published video links to bedside imaging in the NICU and imaging in the clinic.²⁸ Imaging is first centered on the macula, with a single volume of macula, then a volume across optic nerve and preferably a volume containing both macula and the optic nerve to allow one to draw an organizing axis from optic nerve to fovea.²⁹ These volumes, typically 60–75 scans per volume with 600–900 A scans per B scans covering an area of ~6–7 × 6–7 mm, are useful to extract central foveal scan and to segment for layers such as retinal nerve fiber layer (RNFL).^28,29

Photoreceptor development

While OCT promises to be a useful tool for identifying abnormalities associated with ROP, it first helped to describe normal neonatal retinal development and maturation. Imaging preterm infants before term-equivalent age allows for in vivo assessment of optic nerve and retinal architecture that would usually be found in utero. Alternatively, preterm infant microanatomy can be compared with age-matched term infant eyes to identify potential abnormalities. Maldonado et al³⁰ used OCT to describe the eloquent centripetal migration of outer retinal structures, including the photoreceptors, toward the fovea that is synchronized with concurrent centrifugal migration of the inner retinal layers away from the fovea (Figure 1). The unique preterm infant foveal morphology observed on OCT has been confirmed in similar infant imaging studies.^31,32 Hendrickson et al³³ verified these developmental patterns with postmortem eye tissue, and Vajzovic et al³⁴ validated that the unique layers observed on SDOCT correlate with histology (Figure 2). Vajzovic et al³⁵ then used SDOCT to describe a delay in photoreceptor development in very preterm infants at term-equivalent age compared with age-matched term infants. They observed ellipsoid zone at the foveal center in (22/47) 47% of term infants imaged in the nursery, but only (9/64) 14% of very preterm infants (P<0.001); for those infants without ellipsoid zone at the fovea, there was also a greater mean distance of the ellipsoid zone to the foveal center in very preterm versus term infants (P=0.01), further representing a delay in photoreceptor migration. Recently, Lee et al³⁶ reported measurement of the timeline of foveal development of term-born infants from birth through age 0–27 years. They demonstrated the continued increase in central foveal thickness with age and progressive maturation of photoreceptors over several years after birth, providing important age-appropriate normative data on healthy foveal development.

Figure 1 Map of regional changes in human foveal development by age from 31 weeks PMA until adulthood. Notes: Three-dimensional maps of human foveae from (A) 31–43 weeks PMA and (B) after term birth. Three-dimensional maps are constructed from vertical scans through the macula for 31 and 34 weeks PMA and from horizontal scans for the other time points. The central foveal SDOCT scan from each set is displayed in the top row. The SDOCT scans demonstrate a progressive deepening of the foveal pit before 40 weeks PMA and subsequent PRL thickening in (B). Total retina thickens gradually in all regions predominantly in the parafoveal area. The IRL demonstrates a centrifugal displacement of layers by a central pit size expansion and a parafoveal ring thickening. In contrast, the PRL grew centripetally from a thin layer at 31 weeks with the thinnest area around foveal center (magenta asterisk) to the fully developed PRL in adulthood with the thickest point at the center. Of note, PRL growth occurs largely after term birth (B). Growth of the left eye (OS) layer proceeds from complete absence at 31 weeks PMA (peripheral nonblue area represents flipping artifact at the edge of the scan) to adulthood in a centripetal pattern. Note that OS reaches the foveal center at 43 weeks PMA and continues with significant growth after term birth and well into childhood. The 31-week PMA subject was born at 27 weeks PMA (birth weight 1,205 g, ROP zone II, stage 2). The scans from 34 to 43 weeks correspond to an infant born at gestational age 27 weeks PMA with a birth weight of 1,205 g, ROP zone II, stage 2 for all time points. Ophthalmology. 2011. Maldonado RS, O’Connell RV, Sarin N, et al. Dynamics of human foveal development after premature birth, 118:2315–2325.30 © 2011 with permission from Elsevier. http://www.journals.elsevier.com/ophthalmology/. Abbreviations: IRL, inner retinal layer; OS, outer segment; PMA, postmenstrual age; PRL, photoreceptor layer; ROP, retinopathy of prematurity; SDOCT, spectral domain-optical coherence tomography; TRL, total retinal layer.

Figure 2 SDOCT histology comparison of normal premature infant retinas. Notes:(A) Phase 1; (B) Phase 2. SDOCT numeric bands are indicated in (A) left and (B) left. Bands are matched as near as possible for a 31 weeks PMA SDOCT (top left) and 27 weeks PMA light micrograph (A right, projected ~2:1 scale to match SDOCT, seen in the “tall” single row of nuclei in the ONL) through the fovea. In phases 1–2, the GCL + IPL band at the fovea is primarily IPL. In Phase 1, the IS and OS are too short to form band 8. In Phase 2, peripheral IS (B left, box) is now long enough to be imaged as band 8 in SDOCT. In Phase 2 on histology (B, right), ELM is indicated by horizontal white arrowheads, but is not distinct on SDOCT (B, left). 1, NFL; 2, GCL; 3, IPL; 4, INL; 5, OPL on OCT and includes photoreceptor synapses (OPL/PSL); however, Henle fibers (Ax), which are part of histologic OPL, are hyporeflective and included in 6, ONL HFL on OCT; 8, photoreceptor ISE; 10, RPE, which is split into two hyperreflective bands. The images are shown at 2:1 axial/lateral ratio to aid in viewing layers and to mimic typical SDOCT viewing. Reprinted from Am J Ophthalmol. 2012, Vajzovic L, Hendrickson AE, O’Connell RV, et al. Maturation of the human fovea: correlation of spectral-domain optical coherence tomography findings with histology, 154:779–789.e2.34 © 2012 with permission from Elsevier. http://www.ajo.com/. Abbreviations: ELM, external limiting membrane; GCL, ganglion cell layer; INL, inner nuclear layer; IPL, inner plexiform layer; IS, inner segment; ISE, inner segments ellipsoid; NFL, nerve fiber layer; ONL, outer nuclear layer; OPL, outer plexiform layer; OS, outer segment; PMA, postmenstrual age; RPE, retinal pigment epithelium; SDOCT, spectral domain optical coherence tomography.

Macular edema of prematurity

Macular imaging with OCT has identified a unique representation of cystoid macular edema (CME) in the preterm population (Figure 3), also known as macular edema of prematurity, with neurodevelopmental implications. The macular edema is bilateral, symmetric, isolated to the inner nuclear layer, and typically causes foveal bulging with elongation of hyperreflective septae. Lee et al³⁷ compared the utility of traditional indirect ophthalmoscopy with SDOCT during routine ROP exams to evaluate preretinal and retinal structures. The authors reported that SDOCT allowed identification of CME in 39% of examinations and epiretinal membrane in 32% of exams, neither of which were identified on indirect ophthalmoscopy. They did note that traditional examination was required for full ROP assessment (stage, zone, plus disease). Vinekar et al³⁸ performed a similar study in an Indian population and observed subclinical CME in 29% of infants on ROP exam. Interestingly, all of the infants with CME in this study had stage 2 ROP, while no eyes with stage 0 or 1 ROP had CME. The authors posited that these cystoid structures might have caused by vascular leakage secondary to vascular endothelial growth factor imbalances or direct mechanical traction on the retina.

Figure 3 Morphologic characteristics and phenotypes of CME observed by use of SDOCT. Notes: Three CME phenotypes were observed: single central (A), parafoveal (when cystoid structures were grouped around the foveal center, as shown within the white encircled areas) (B), and multiple elongated cystoid structures when the parafoveal and central fovea contained cystoid structures (C–E). For the multiple elongated CME phenotype, severity was scored as mild (C) if the foveal pit was present, moderate (D) if the fovea was bulging but the photoreceptor layer was not affected, and severe (E) if the fovea and photoreceptor layer had a bulging shape (white arrow). A magnified SDOCT scan shows the morphologic characteristics found in severe CME (F). The white asterisk is located within one cystoid space. Reprinted from Arch Ophthalmol. 2012. Maldonado RS, O’Connell R, Ascher SB, et al. Spectral-domain optical coherence tomographic assessment of severity of cystoid macular edema in retinopathy of prematurity,130:569–578.39 Copyright © 2012 American Medical Association. All rights reserved. Abbreviations: CME, cystoid macular edema; SDOCT, spectral domain optical coherence tomography.

The role of ROP in preterm infant CME remains unclear. Maldonado et al³⁹ performed a study that identified CME in 50% of preterm infants at a tertiary care center. They found that, while the presence or absence of CME was not associated with ROP outcomes, markers of CME severity such as central foveal thickness, inner nuclear layer thickness, and the foveal-to-parafoveal ratio were greater in eyes that either required laser photocoagulation or had stage 3 ROP. They did not find any strong relationship between CME and a battery of systemic health factors. Another study reports both persistence of and formation of new CME following bevacizumab (an antivascular endothelial growth factor used off-label for ROP treatment) administration, further suggesting this phenomenon is not directly tied to vascular endothelial growth factor.⁴⁰ A case report of an infant with hemochromatosis and severe, bilateral CME that resolved following liver transplantation suggests other unidentified systemic health factors may play a role in neonatal CME.⁴¹

While the etiology of preterm infant CME is unclear, several pilot studies have identified functional outcomes suggesting this is a pathologic phenomenon rather than a phenotypic variant of development. One study followed 53 very preterm infants with CME in the intensive care nursery and performed Bayley Scales at 18–24 months corrected age to assess neurodevelopment and found CME was associated with worse language (P=0.002) and motor skills (P=0.03) as a toddler. Within the subset of very preterm infants with CME, there was an association between the severity of CME as assessed by increasing foveal-to-parafoveal thickness ratio and worsening cognitive (P=0.03, R²=0.16) and language scores (P=0.03, R²=0.15). According to Rothman et al,⁴² because the neurosensory retina is an extension of the CNS, SDOCT allows for direct visualization of CNS tissue and the CME observed may be an ophthalmologic manifestation of cellular events occurring elsewhere in the brain and CNS. Another study followed 13 infants (eleven preterm and two term) imaged in the nursery and found that all eight children with age-appropriate microanatomy on SDOCT had ≥20/40 visual acuity or within the normal limits on Teller acuity cards, while the five infants with CME later had suboptimal acuity, sensorimotor deficits, abnormalities on brain magnetic resonance imaging (MRI), or poor neurodevelopment.²⁷ Vinekar et al⁴³ also reported reduced visual acuity as early as 3 months corrected age in infants with CME. This may be due to delayed photoreceptor development for very preterm infants with or without CME³⁵ or other confounding health parameters in this sick and vulnerable population.

Retinal vasculature

Preliminary investigations have also demonstrated OCT as an effective tool to characterize the retinal vasculature. While traditional indirect ophthalmoscopy provides an en face view of the fundus, OCT provides three-dimensional data and unique information in the anterior–posterior axis. Maldonado et al⁴⁴ proposed a Vascular Abnormality Score by OCT (VASO) to quantify abnormalities graded on OCT such as vessel elevation, hyporeflective vessels, scalloping of retinal layers, and perivascular spaces (Figure 4). Infants with plus disease have a significantly higher VASO score (P=0.001). Retinal surface maps can also be created with segmentation software to greater appreciate vessel tortuosity and dilation. In addition, pilot data suggest a correlation between VASO and worsening language and motor skills as a toddler (unpublished data). Future studies may relate VASO and vessel mapping to markers of development and maturation such as photoreceptor development, CME, and RNFL thickness.

Figure 4 Evaluation of infant retinal vasculature with SDOCT. Notes: The SDOCT scans from a 31-week PMA neonate (A) with retinopathy of prematurity (ROP) zone II, stage 2, and normal vasculature per clinical examination and a 48-week PMA neonate (B) with ROP zone II, stage 3, and plus disease. No vessel elevation is seen in (A) and severe vessel elevation is seen in (B). Retinal images (C, D) created from axial compression of SDOCT scans. (E) and (F) contain the same scans as (A) and (B), respectively, but highlight the smooth retinal layer contour in (E) and the scalloped pattern on (F). Red asterisks are placed over vessels, and the corresponding location on the retinal image is shown on (C) and (D). White arrows point to shadow produced by the corresponding vessels (E) and (F), The top light green line represents the inner plexiform layer, and the bottom dark green line represents the outer plexiform layer. Reprinted from Ophthalmology. 2014, Maldonado RS, Yuan E, Tran-Viet D, et al. Three-dimensional assessment of vascular and perivascular characteristics in subjects with retinopathy of prematurity. 121:1289–1296.44 ©2014 with permission from Elsevier.http://www.journals.elsevier.com/ophthalmology/. Abbreviations: PMA, postmenstrual age; SDOCT, spectral domain optical coherence tomography.

The rapidly evolving modifications to OCT imaging promise to change our approach to ROP. For example, color Doppler OCT visualizes blood flow and could allow for in vivo, cross-sectional assessment of blood flow and three-dimensional construction of retinal vasculature in infants with ROP.^45–47 Advances in OCT angiography may become both a useful clinical tool for patients with ROP and research tool that helps characterize the vasculature and answer questions such as the significance of a smaller foveal avascular zone in preterm infants.⁴⁸ Swept-source OCT promises to replace SDOCT with faster data acquisition, which will prove useful when imaging nonsedated infants.⁴⁹ Alternatively, OCT may be paired with other technologies such as wide-field fluorescein angiography, which allows characterization of the permeability of peripheral vasculature.⁵⁰

Optic nerve and retinal nerve fiber layer

In addition to macular and vessel imaging, OCT imaging provides valuable information about the optic nerve and RNFL. Our prior understanding of optic nerve development was limited to postmortem analyses. Provis et al⁵¹ described the initial burst of axonal proliferation that peaks during 16–17 weeks gestational age at ~3.7 million axons. This overproduction is followed by apoptosis of the optic nerve axons that plateaus approximately 29 weeks gestational age at 1.1 million axons. Overall, nearly 70% of the optic nerve axons are pruned prior to birth. The actual optic nerve is 75% of its adult size at birth⁵² when it is unmyelinated until about age 2.⁵³

Because the microanatomy of the anterior visual pathway undergoes such dynamic change both in utero and during infancy, studies specific to this time window are valuable for understanding normal development and its phenotypic and pathologic variants. Samarawickrama et al⁵⁴ imaged 12-year-old children and found that low birth weight, short birth length, and small head circumference correlated with larger optic nerve cup-to-disc ratio. Tong et al⁵⁵ then compared optic nerve parameters in term versus preterm infants imaged with SDOCT and found a larger cup-to-disc ratio in preterm infants (P<0.001). Within the preterm cohort, they correlated increased cup-to-disc ratio with diagnosis of periventricular leukomalacia (P=0.005) and clinical need for MRI while in the nursery (P=0.023) as well as worse cognitive skills as a toddler as assessed by the Bayley Scales (P=0.049).

The RNFL consists of the unmyelinated ganglion cell axons that compose the innermost layer of the neurosensory retina prior to converging as the optic nerve. As such, average RNFL thickness is a more accurate measure of retinal ganglion cell integrity than the estimate provided by optic nerve head analysis. Several studies in school-age children have associated thinner RNFL with both lower birth weight^56,57 and prematurity.^58–60 Akerblom et al⁵⁸ prescribe these differences to thinner RNFL in children with a history of stage 3 or 4 ROP, while Pueyo et al⁶⁰ similarly described thinner RNFL in preterm children who required treatment for ROP and had concomitant pathologies such as hypoxic-ischemic events and perinatal infections. Recently, Park and Oh⁶¹ also found this inverse relationship between ROP stage and average RNFL thickness in school-age children. One limitation of these studies, however, is that the RNFL was measured years after ROP diagnosis and its associated comorbidities and treatments.

Measuring RNFL thickness in infants presents several unique challenges. RNFL measurements in adults are usually taken at a mean radial distance of 1.7 mm from the center of the optic nerve based on the reproducibility studies of Schuman et al.⁶² Because the neonatal eye is smaller than even the eyes of school-age children, average RNFL thickness should be measured at a distance of 1.5 mm from the center of the optic nerve, based on both pilot SDOCT data in healthy, term infants²⁹ and proportionality calculations derived from fundus photography of infants⁶³ and adults.⁶⁴ Because the SDOCT scans of infants are obtained when the noncooperative child is supine, the scans are usually not orthogonally oriented. Previous work suggests that RNFL measurements should be standardized relative to the axis aligning the foveal center to the opening of Bruch’s membrane.^65,66 Several custom MATLAB scripts (MathWorks, Inc., Natick, MA, USA) allow for measurement of RNFL thickness in neonates. The inner and outer layers of the RNFL are semiautomatically segmented or outlined. Users then manually mark the center of the optic nerve and fovea to create an organizing axis and then can calculate the average RNFL thickness at any radial distance from the center of the optic nerve across an arc of any specified degree. This method has provided a normative dataset of mean RNFL thickness in healthy, term infants imaged prior to discharge from the nursery.²⁹ This same methodology has since been applied to very preterm infants and validated as a way to reproducibly measure RNFL over time in this vulnerable population. At term-equivalent age, very preterm infants have significantly thinner RNFL across both the papillomacular bundle (defined as the arc from −15 to +15 degrees relative to the organizing axis, P<0.001) and the temporal quadrant (the arc from −45 to +45 degrees relative to the organizing axis, P=0.005) compared with healthy, term infants. Furthermore, these very preterm infants imaged at <36 weeks postmenstrual age and again at term-equivalent age demonstrated a significant increase in mean thickness over this time interval (P<0.001). Because the ganglion cell axons are unmyelinated anterior to the lamina cribrosa, this increase in axonal thickness may parallel the increase in volume of gray brain matter observed in preterm infants on MRI during this time window (Figure 5).⁶⁷

Interestingly, these pilot data did not identify within the very preterm cohort (n=57) a relationship between ROP stage, plus disease, or need for ROP treatment and RNFL thickness nor did it find a difference in RNFL thickness between those very preterm infants with or without a list of common preterm pathologies such as hydrocephalus, intraventricular hemorrhage, and bronchopulmonary dysplasia. There was, however, a significant relationship between mean RNFL thickness and gross brain abnormalities and lesions observed on MRI obtained while in the intensive care nursery. A pediatric neuroradiologist masked to all infant data other than age at MRI used a modified version of the grading scale described by Kidokoro et al⁶⁸ to assess a global brain lesion burden index, which was composed of white matter, gray matter, and cerebellar subscores. There was a significant relationship between increasing global (P=0.001, R²=0.35), white matter (P=0.008, R²=0.26), and gray matter (P=0.009, R²=0.25) brain lesion indices on near-term MRI, signifying increasing brain abnormalities and thinner RNFL. Likewise, there was a significant correlation between worse cognitive (P=0.01, R²=0.18) and motor skills (P=0.02, R²=0.17) as a toddler, as assessed by the Bayley Scales, and thinner RNFL while in the intensive care nursery.¹³

Figure 5 Very preterm infant RNFL thickness maps at term equivalent age (left column) and their corresponding near-term T2-weighted brain MRI (B, right columns). Notes: (A), black female born at 24 weeks gestational age and 640 g who developed plus disease requiring laser treatment. RNFL thickness map at 37 weeks postmenstrual age measures mean RNFL thickness across the papillomacular bundle (thick pink arc) and temporal quadrant (thin pink arc) of 73 and 86 μm, respectively. Brain MRI at 44 weeks postmenstrual shows a near-normal global brain with global brain MRI lesion burden index of 2 (due to a white matter subscore of 2). (B), black female born at 23 weeks gestational age and 475 g who developed stage 3 retinopathy of prematurity requiring laser treatment. RNFL thickness map at 37 weeks postmenstrual age measures mean RNFL thickness across the papillomacular bundle and temporal quadrants of 51 and 74 μm, respectively. Brain MRI at 46 weeks postmenstrual age had a global brain MRI lesion burden index of 5 (white matter subscore of 4 and gray matter score of 1). The ventricles are mildly enlarged, especially in the occipital lobe area, consistent with mild white matter volume loss. (C), white male born at 25 weeks gestational age and 810 g who developed stage 3 retinopathy of prematurity requiring laser treatment. Cognitive, language, and motor Bayley subscores at 18–24 months corrected age were 75, 89, and 61, respectively. RNFL thickness map at 38 weeks postmenstrual age had mean RNFL thicknesses across the papillomacular bundle and temporal quadrants of 35 and 38 μm, respectively. Brain MRI at 36 weeks postmenstrual age had a global brain MRI lesion burden index of 15 (white matter subscore of 10 and gray matter subscore of 4). The ventricles are markedly enlarged, consistent with severe white matter volume loss. The scale on the thickness map represents thickness values in microns. Reprinted from Am J Ophthalmol. 2015. Rothman AL, Sevilla MB, Mangalesh S, et al. Thinner retinal nerve fiber layer in very preterm versus term infants and relationship to brain anatomy and neurodevelopment.160:1296–1308.e2.13 © 2015 with permission from Elsevier. http://www.ajo.com/. Abbreviations: MRI, magnetic resonance imaging; RNFL, retinal nerve fiber layer.

The presence of CME and thinner RNFL in the very preterm infant population appears to be independent. The RNFL thinning is believed to be retrograde transsynaptic degeneration of ganglion cells similar to that observed in primates after mechanical injury that leads to enlarged optic nerve cup-to-disc ratio and thinner RNFL.^69,70 Rather than a direct result of physical insult, CME is likely a manifestation of systemic physiologic insult such as inflammation or vascular endothelial growth factor dysregulation.⁴²

Average RNFL thickness may be a promising biomarker of brain pathology and subsequent neurodevelopment as an adjunct clinical tool to brain MRI. There are several indications for brain MRI in the preterm population that often demonstrate differences from term brain development at this age⁷¹ due to the relationship between white matter injury and neurodevelopment.^72–74 Lennartsson et al⁷⁵ qualitatively described an inverse relationship between RNFL thickness in adults and the extent of white matter injury and damage to optic radiations as observed on fiber tractography experienced after premature birth.

Conclusion

Recent developments in bedside OCT imaging have contributed to our understanding of the retinal microanatomy of the preterm infant eye, including in those with ROP. The OCT imaging has provided a useful new perspective of retinal neurovascular development along with a three-dimensional view of the focal abnormalities of ROP: changes in retinal and choroidal vasculature, axonal layer thinning, and macular edema. It is through recognizing and documenting the age-appropriate stages of normal neonatal retinal development and maturation that one can identify changes associated not only with ROP but also with prematurity. These include delayed photoreceptor development, CME, enlarged optic nerve C/D ratio, and thin RNFL. More importantly, these anatomic abnormalities have been linked to abnormalities in brain anatomy as well as in neurodevelopment. Therefore, bedside OCT imaging maybe a useful and sensitive tool for early screening of very preterm infants who are at very high risk of these brain abnormalities and poorer neuro development. Because the eye and brain continue to develop well after term birth, it is highly likely that similar research in full-term infants may find similar relationships between eye microanatomy and neurodevelopment and CNS disease.

Ongoing studies aim to establish and evaluate bedside OCT imaging in the role of prenatal screening. Telemedicine, with transmission of digital eye images to centralized reading centers for expert interpretation, may increase the patient’s access to screening.^76,77 While current studies focus on screening with digital fundus photography, this would be an obvious area for extension into OCT in the future.⁷⁸ Multidisciplinary approach and collaborative efforts across multiple centers will be essential in improving developmental outcomes and monitoring therapeutic response to treatments or nutritional interventions to improve brain development in this vulnerable population.

Acknowledgments

Dr Toth receives royalties through her university from Alcon and research support from Bioptigen (Research Triangle Park, NC, USA) and Genentech (South San Francisco, CA, USA). She also has unlicensed patents pending in OCT imaging and analysis. No authors have a proprietary interest in the current study.

Disclosure

The authors report no conflicts of interest in this work.

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