July 2019
Volume 60, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2019
Assessing optic nerve microstructural integrity in asymmetric glaucoma using diffusion MRI
Author Affiliations & Notes
  • Junqian Xu
    Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Joo-won Kim
    Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Stephanie Thomas
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Sheng-Kwei Song
    Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States
  • Janet B Serle
    Ophthalmology, Icahn School of Medicine at Mount Sinai, New York, New York, United States
  • Footnotes
    Commercial Relationships   Junqian Xu, None; Joo-won Kim, None; Stephanie Thomas, None; Sheng-Kwei Song, None; Janet Serle, None
  • Footnotes
    Support  NIH grant U01 EY025500 (S-K Song), NMSS postdoctoral fellowship FG-1606-24492 (J-W Kim)
Investigative Ophthalmology & Visual Science July 2019, Vol.60, 5603. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Junqian Xu, Joo-won Kim, Stephanie Thomas, Sheng-Kwei Song, Janet B Serle; Assessing optic nerve microstructural integrity in asymmetric glaucoma using diffusion MRI. Invest. Ophthalmol. Vis. Sci. 2019;60(9):5603.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose : Recent optic nerve (ON) diffusion magnetic resonance imaging (dMRI) studies show promise to quantify ON tissue microstructural integrity in open angle glaucoma (OAG), with ON diffusion tensor imaging (DTI) measures correlating with retinal nerve fiber layer (RNFL) thickness measured by optical coherence tomography (OCT). Nevertheless, the effect size of such relationship remains small to moderate, due to the technical challenges in achieving reliable human ON dMRI. Here, we quantify ON microstructural integrity in asymmetric OAG patients with our improved ON dMRI acquisition and analysis protocol.

Methods : Asymmetric OAG patients underwent complete eye exams including intraocular pressure (IOP), dilated fundus exam, automated visual fields, stereo disc photography, and RNFL OCT imaging; and 3T inner-volume oblique axial ON dMRI at 1.3 mm isotropic resolution (Fig. 1). The dMRI data were processed using our recently optimized ON dMRI registration scheme with nonlinear dMRI volume alignment and automated ON center region-of-interest (ROI) definition. After DTI modeling with free water elimination (FWE), radial diffusivity (RD) and fractional anisotropy (FA) of each nerve was measured in the ROI of each nerve.

Results : 8 patients, 6 females, with (mean±SD) age 66 ± 4 years, IOP 10.1 ± 3.1, 12.1 ± 3.2 mmHg, PSD 9.3 ± 2.2, 2.5 ± 2.0 db, global RNFL thickness 57.0 ± 7.1 μm, 73.1 ± 10.2 μm (Fig. 2A) in the more and less affected eyes, respectively. RD was higher in the more affected (0.52 ± 0.13 μm2/ms), than the less affected (0.37 ± 0.08 μm2/ms) eyes (Fig. 2B, reflecting increased extra-axonal space due to axonal loss. RNFL thickness strongly correlated with RD (Pearson’s r = -0.7, Fig. 2C) and FA (r = 0.7). PSD moderately correlated with RD (r = 0.45) and FA (r = -0.45).

Conclusions : The strong correlation between FWE-DTI RD with RNFL thickness even in a small cohort of OAG suggests a large effect size of our improved ON dMRI measures of microstructural integrity.

This abstract was presented at the 2019 ARVO Annual Meeting, held in Vancouver, Canada, April 28 - May 2, 2019.

 

Figure 1. Representative RNFL OCT results (A,B and D,E) and the corresponding FWE-DTI RD overlaid on b0 images of the ON (C,F) of less (top) and more (bottom) affected eyes.

Figure 1. Representative RNFL OCT results (A,B and D,E) and the corresponding FWE-DTI RD overlaid on b0 images of the ON (C,F) of less (top) and more (bottom) affected eyes.

 

Figure 2. Line (left in A/B) and estimation plots (right in A/B) show the difference in RNFL thickness and FWE-DTI RD between the less and more affected eyes. RD strongly correlated with RNFL thickness (C, gray = regression line). Each color represents a subject.

Figure 2. Line (left in A/B) and estimation plots (right in A/B) show the difference in RNFL thickness and FWE-DTI RD between the less and more affected eyes. RD strongly correlated with RNFL thickness (C, gray = regression line). Each color represents a subject.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×