0
Clinical Sciences | ONLINE FIRST

Distribution of Damage to the Entire Retinal Ganglion Cell Pathway:  Quantified Using Spectral-Domain Optical Coherence Tomography Analysis in Patients With Glaucoma

Kyungmoo Lee, PhD; Young H. Kwon, MD, PhD; Mona K. Garvin, PhD; Meindert Niemeijer, PhD; Milan Sonka, PhD; Michael D. Abràmoff, MD, PhD
Arch Ophthalmol. 2012;130(9):1118-1126. doi:10.1001/archophthalmol.2012.669.
Text Size: A A A
Published online

Objectives  To test the hypothesis that the amount and distribution of glaucomatous damage along the entire retinal ganglion cell–axonal complex (RGC-AC) can be quantified and to map the RGC-AC connectivity in early glaucoma using automated image analysis of standard spectral-domain optical coherence tomography.

Methods  Spectral-domain optical coherence tomography volumes were obtained from 116 eyes in 58 consecutive patients with glaucoma or suspected glaucoma. Layer and optic nerve head (ONH) analysis was performed; the mean regional retinal ganglion cell layer thickness (68 regions), nerve fiber layer (NFL) thickness (120 regions), and ONH rim area (12 wedge-shaped regions) were determined. Maps of RGC-AC connectivity were created using maximum correlation between regions' ganglion cell layer thickness, NFL thickness, and ONH rim area; for retinal nerve fiber bundle regions, the maximum “thickness correlation paths” were determined.

Results  The mean (SD) NFL thickness and ganglion cell layer thickness across all macular regions were 22.5 (7.5) μm and 33.9 (8.4) μm, respectively. The mean (SD) rim area across all ONH wedge regions was 0.038 (0.004) mm2. Connectivity maps were obtained successfully and showed typical nerve fiber bundle connectivity of the RGC-AC cell body segment to the initial NFL axonal segment, of the initial to the final RGC-AC NFL axonal segments, of the final RGC-AC NFL axonal to the ONH axonal segment, and of the RGC-AC cell body segment to the ONH axonal segment.

Conclusions  In early glaucoma, the amount and distribution of glaucomatous damage along the entire RGC-AC can be quantified and mapped using automated image analysis of standard spectral-domain optical coherence tomography. Our findings should contribute to better detection and improved management of glaucoma.

Figures in this Article

Sign In to Access Full Content

Don't have Access?

Register and get free email Table of Contents alerts, saved searches, PowerPoint downloads, CME quizzes, and more

Subscribe for full-text access to content from 1998 forward and a host of useful features

Activate your current subscription (AMA members and current subscribers)

Purchase Online Access to this article for 24 hours

Figures

Place holder to copy figure label and caption
Grahic Jump Location

Figure 1. Registered projection image overlaid with the nerve fiber bundle grid showing regions (1, 1) through (12, 10) (white), the macular grid (regions 1-68 [cyan]), the optic nerve head grid that includes the optic cup regions (regions a through l [orange]), and the optic nerve head wedge regions (regions A through L [green]). The green and red cross marks show the foveal center and the neural canal opening centroid, respectively. The nerve fiber bundle grid has been slightly tilted, which decreased the thickness variability in preliminary studies. The scaling factor d is the distance between the fovea and the center of the neural canal opening.

Place holder to copy figure label and caption
Grahic Jump Location

Figure 2. Segmentation of the nerve fiber layer (NFL), ganglion cell layer (GCL) and combined layer of the outer segment (OS) and retinal pigment epithelium (RPE) from macular and peripapillary spectral-domain optical coherence tomography volumes. A, Flattened and cropped B-scan image of the macular spectral-domain optical coherence tomography volume. B, Image A overlaid with the layer segmentation results. C, Three-dimensional rendering of the surfaces segmented in B. D, Flattened and cropped B-scan image of the peripapillary spectral-domain optical coherence tomography volume. E, Image D overlaid with the layer segmentation results. F, Three-dimensional rendering of the surfaces segmented in image E. N indicates nasal; RPE*, RPE complex; and T, temporal.

Place holder to copy figure label and caption
Grahic Jump Location

Figure 3. Segmentation of the optic cup, neuroretinal rim, and neural canal opening from the peripapillary spectral-domain optical coherence tomography volume. A, Flattened and cropped B-scan image. B, Image A overlaid with the cup (green regions) and rim (red region) segmentation results. The neural canal opening segmentation result is the combined region of the cup and rim. C, Spectral-domain optical coherence tomography projection image. D, Image C overlaid with the cup and rim segmentation results.

Place holder to copy figure label and caption
Grahic Jump Location

Figure 4. Retinal ganglion cell–axonal complex connectivity maps for the cell body segment (in the ganglion cell layer) to the optic nerve head neural rim segment. Shown are color-coded correspondence (A) and highest r2 value (B) maps.

Place holder to copy figure label and caption
Grahic Jump Location

Figure 5. Scatterplots for the highest r2 values between the regional mean macular ganglion cell layer thickness (x-axis, 0-80 μm) and the regional optic nerve head rim area (y-axis, 0-0.15 mm2).

Place holder to copy figure label and caption
Grahic Jump Location

Figure 6. Emergent retinal ganglion cell–axonal complex connectivity maps overlaid on a registered projection image from a single patient for illustrative purposes. A, Connectivity from the macular ganglion cell layer regions to “close” initial nerve fiber bundle regions. The arrow starting in each macular grid region ends at one of 5 × 5 neighboring nerve fiber bundle grid regions that exhibits the maximum Pearson product moment correlation coefficient as indicated by the color of the arrow. A dot located in a specific grid square denotes that the highest correlation was between the macular and nerve fiber bundle regions in the same location. B, Connectivity from the most nasal nerve fiber bundle regions to the optic nerve head wedge regions. The nerve fiber bundle region and the optic nerve head wedge region exhibiting the maximum r2 values are coded with the same color. C, Same as B except that the pseudocolors show their maximum r2 value. D, Connectivity of individual nerve fiber bundle regions (retinal ganglion cell–axonal complex segments in the nerve fiber layer) from the initial (anywhere in the nerve fiber bundle grid) to the most nasal nerve fiber bundle grid regions. The line starting from each nerve fiber bundle grid region (except for the most nasal regions) and ending at one of the most nasal nerve fiber bundle regions is the minimum cost path, or the highest overall correlation among all possible nerve fiber bundle segment nerve fiber layer thicknesses. The color shows the starting position in the nerve fiber bundle grid. The top and bottom paths follow the top and bottom boundaries of the nerve fiber bundle grid because information is available outside the registered spectral-domain optical coherence tomography images. E, Same as D except that the color shows the aggregate Pearson product moment correlation coefficient of the nerve fiber bundle region nerve fiber layer thicknesses.

Place holder to copy figure label and caption
Grahic Jump Location

Figure 7. Connectivity map from the macular regions to the initial nerve fiber bundle regions as in Figure 6A but based on left eye spectral-domain optical coherence tomography data only. The overall pattern of connections is similar to that shown in Figure 6A, but the connectivity is more noisy based on half the data as in Figure 6A. Similar results were obtained for the left eye only that corresponded to the other panels in Figure 6.

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

References

Correspondence

CME
Accreditation Information
The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians. The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity. Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
Note: You must get at least of the answers correct to pass this quiz.
You have not filled in all the answers to complete this quiz
The following questions were not answered:
Sorry, you have unsuccessfully completed this CME quiz with a score of
The following questions were not answered correctly:
Commitment to Change (optional):
Indicate what change(s) you will implement in your practice, if any, based on this CME course.
Your quiz results:
The filled radio buttons indicate your responses. The preferred responses are highlighted
For CME Course: A Proposed Model for Initial Assessment and Management of Acute Heart Failure Syndromes
Indicate what changes(s) you will implement in your practice, if any, based on this CME course.
NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s “Cited By” API will populate this tab (http://www.crossref.org/citedby.html).
Submit a Comment

Some tools below are only available to our subscribers or users with an online account.

Web of Science® Times Cited: 1

Sign In to Access Full Content

Related Content

Customize your page view by dragging & repositioning the boxes below.

Articles Related By Topic
Related Topics
PubMed Articles
Jobs