Optic nerve head injury and optical coherence tomography angiography
Dear editors,
We wrote this letter to discuss the microvascular abnormalities related to optic nerve head (ONH) injury visualized by optical coherence tomography angiography (OCTA). With the advent of OCTA, different fundus vasculature levels in the macular region can be displayed precisely and noninvasively to investigate its mechanisms. OCTA is a promising diagnostic approach for detecting inflammatory, ischemic, and compressive optic neuropathies (1). However, the potential relationship between parapapillary microvascular dysfunction and ONH injury is still unclear and should be investigated by combined structural and functional OCT.
The macula and the ONH’s different microvasculature results in a weaker association of the vascular density (VD) of the macula with tissue thickness compared to ONH VD (2). Anatomically, the optic disc’s surface (i.e., the superficial nerve fiber layer) is supplied by superficial ONH capillaries derived from the central retinal artery (3). The retinal ganglion cell axons in the peripapillary nerve fiber layer are fed by distinct capillary networks originating from adjacent retinal arterioles (4). It has been reported that both global and sectoral circumpapillary VD on the ONH surface, excluding the papillomacular bundle area, decreases significantly with age (5). Moreover, the anterior lamina cribrosa is supplied by short posterior ciliary arteries, the Zinn-Haller arterial circle, and partially by the peripapillary choroidal vasculature (3,6). Finally, the posterior lamina cribrosa is supplied through various sources, mainly the peripheral pia arteries and short posterior ciliary arteries of the Zinn-Haller arterial circle (3).
Peripapillary OCTA vessel parameters have greater intra-session repeatability than intersession reproducibility in both non-glaucomatous and glaucomatous eyes (7). Previous studies have compared the flow pattern using OCTA in the peripapillary region in normal eyes, glaucomatous eyes, and acute nonarteritic anterior ischemic optic neuropathy (NAION) eyes. Normal subjects showed VD’s steepest slopes in the nasal superior and inferior circumpapillary sectors (−0.098%/year and −0.096%/year, respectively) (5). Conversely, in patients with NAION, OCTA revealed decreased peripapillary VD and peripapillary vascular dilatation and tortuosity (8). Similarly, patients with papilledema have dilated and tortuous capillaries at the ONH surface (9).
In contrast, glaucoma-related decreased peripapillary retinal perfusion can be detected as a focal defect pattern using OCTA (10). ONH perfusion detected by optical microangiography showed significant differences between glaucomatous eyes and normal controls and was significantly correlated with disease severity and structural defects in glaucomatous eyes (11). Furthermore, glaucomatous eyes with focal lamina cribrosa defects are usually accompanied by peripapillary microvasculature dropout (12). Our clinical practice has identified blood flow signals in the deep anterior lamina cribrosa via both spectral-domain OCTA and swept-source OCTA (Figures 1,2), providing a new biomarker for assessing the blood supply of the optic disc. Numa et al. reported blood flow signals visualized on or immediately adjacent to lamina beams, outside of lamina pores, using en face OCTA (13).
Glaucoma is a chronic progressive optic nerve degeneration caused by high intraocular pressure (IOP), resulting in injury and death of retinal ganglion cells and their axons and visual field deficits. OCTA can assess the structural and functional progression of glaucoma (14). Usually, circumpapillary retinal nerve fiber layer (cpRNFL) thinning is accompanied by flow voids in the peripapillary region on OCTA. In contrast to normal eyes, patients with glaucoma have lower peripapillary flow index and VD values, accounting for the corresponding pattern standard deviation in the visual field test (10). Retinal nerve fiber layer (RNFL) blood flow metrics show significant correlations with visual field indices and structural changes in glaucomatous eyes (15). Chen et al. also detected reduced RNFL microcirculation in the normal hemisphere of eyes with glaucoma, with strong correspondence with VF loss and RNFL thinning (16). In addition to superficial vascular plexuses, glaucoma affects the deep vascular plexuses, initially leading to axonal injury (14). There is an association between parapapillary deep-layer microvasculature dropout and corresponding focal reductions in juxtapapillary choroidal thickness in the parapapillary γ-zone of primary open-angle glaucomatous eyes (17). Interestingly, we found good correspondence between cpRNFL values, ONH topography, and en face OCTA, suggesting capillary atrophy involvement in glaucomatous progression (Figure 3).
Manalastas et al. reported a strong relationship between ONH VD and both cpRNFL and macular ganglion cell complex (GCC) thickness (2). Aside from significantly thinner cpRNFL and its lower circumpapillary VD, glaucomatous eyes with microvasculature dropout show lower IOP, larger cup-to-disc ratio, and worse visual field mean deviation in comparison to glaucomatous eyes with no microvasculature dropout (18). In contrast to normal eyes, glaucomatous eyes usually have a sectoral reduction in lamina cribrosa microvasculature blood flow (13).
Late-stage NAION has a specific nerve atrophy pattern, including sectional cpRNFL thinning and tempo-superior or tempo-inferior successive dark blankets on posterior pole asymmetry analysis (PPAA, Figure 4). Glaucoma and localized RNFL defects were successfully detected using PPAA by evaluating the difference between the upper and lower macular thickness (19).
In a previous study, OCTA parameters showed stronger associations with functional rather than structural measures of glaucoma, and glaucomatous eyes initially had reduced macular ganglion cell-inner plexiform layer microcirculation (20). Optic disc injury is commonly associated with macular GCC shrinkage, which is related to lower ONH perfusion (21). Moreover, parapapillary microvascular dysfunction has been reported in NAION cases. For example, compared to normal eyes, eyes with NAION showed a lower average VD in the superior (42.1%±2.4%), nasal (46.1%±3.3%), inferior (43.7%±1.8%), and temporal (47.6%±2.9%) quadrants (8).
Optic disc melanocytoma (ODM), a pigmented tumor, appears as a brownish-black focal lesion with feathery margins. On blue-light fundus autofluorescence (FAF), it appears as enlarged hypo-autofluorescence in the ODM region (22). Tumor vascularization, manifested by fluorescein leakages, strongly indicates the growth of ODM (23). Moreover, the laser speckle flowgraph showed reduced blood flow in the ODM region, indicating that ODM induces ONH circulatory disorder and leads to a specific visual field defect (22).
In our clinical experience, ODM has a normal appearance on multicolor imaging. However, on melanin-related near infrared (NIR)-FAF, confirmed by enhanced depth imaging OCT, ODM appears as typical hyper-fluorescence, which may indicate the final diagnosis (Figure 5). NIR-FAF reflects melanin’s metabolism in the retinal pigment epithelium and choroids at a longer wavelength (24).
OCTA can visualize the superficial fine abnormal retinal vessels on the ODM surface, also indicating tumor growth. However, Carnevali et al. reported that OCTA detected superficial tumor vascularization in 2 out of 5 eyes (22). Conversely, no intratumoral vessels were found using neither indocyanine green angiography nor en face OCTA in our study. Similarly, Cennamo et al. reported 2 eyes with ODM demonstrating flow voids and defects in the deep retinal layer (25). These typical OCTA findings may indicate an inactive stage of ODM.
OCTA is crucial for better understanding ONH injury lesions’ pathogenesis because it can show different changes in the microvascular ONH abnormalities (both optic disc and peripapillary region) at different levels. As OCTA technology continues to advance at an accelerated pace, we expect to discover new perspectives in the domain of glaucoma and neuro–ophthalmology to optimize the diagnostic sensitivity and specificity.
Acknowledgments
Funding: This work was supported by the Fund for Clinical Genetics (Ophthalmology) Subject construction project of China Medical University (No. 3110118049), Natural Science Foundation of Liaoning Province (No. 20170541041), Beijing Bethune Charitable Foundation (No. AF-OG-03-1.1-03).
Footnote
Conflicts of Interest: Both authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/qims-20-1218). The authors have no conflicts of interest to declare.
Ethical Statement: The Institutional Review Board of the First Hospital of China Medical University approved this study, and informed consent was obtained from all individual participants.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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