Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Subclinical Keratoconus Detection and Characterization Using Motion Tracking Brillouin Microscopy
Author Affiliations & Notes
  • James Bradley Randleman
    Ophthalmology, Cleveland Clinic Cole Eye Institute, Cleveland, Ohio, United States
  • Footnotes
    Commercial Relationships   James Randleman None
  • Footnotes
    Support  EY028666, EY032537, Research to Prevent Blindness
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 1491. doi:
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    • Get Citation

      James Bradley Randleman; Subclinical Keratoconus Detection and Characterization Using Motion Tracking Brillouin Microscopy. Invest. Ophthalmol. Vis. Sci. 2024;65(7):1491.

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

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Abstract

Purpose : To characterize focal biomechanical alterations in subclinical keratoconus (SKC) using motion tracking (MT) Brillouin microscopy and evaluate the ability of MT Brillouin metrics to differentiate SKC eyes from normal controls.

Methods : This prospective cross-sectional study included 30 eyes from 30 patients were evaluated, including 15 eyes from 15 bilaterally normal patients and 15 SKC eyes from 15 patients. All patients underwent Scheimpflug tomography and MT Brillouin microscopy imaging using a custom-built device. Mean and Minimum (Min) MT Brillouin values within the anterior plateau region (Plateau) and anterior 150 microns (A150) were generated. Scheimpflug metrics evaluated included Inferior-Superior (IS) Value, K Max, Thinnest Corneal Thickness (TCT), asymmetry indices, BAD-D, and ART max. Receiver operating characteristic (ROC) curves were generated for all Scheimpflug and MT Brillouin metrics evaluated to determine the area under the curve (AUROC), sensitivity, and specificity for each variable.

Results : There were no significant differences between groups for age, sex, manifest refraction spherical equivalent refractions (MRSE), corrected distance visual acuity CDVA, K Max, or KISA% index. Among Scheimpflug metrics, there were significant differences between groups for TCT (556mm vs. 522mm, p < 0.001), IS Value (0.29D v s 1.05D, p <0.001), IVA (0.10 vs 0.19, p <0.001) and KI (1.01 vs 1.05, p <0.001), and no significant differences for any other Scheimpflug metric. Among MT Brillouin metrics, there were clear differences between Control and SKC eyes for Mean Plateau (5.71 GHz vs. 5.68 GHz, p<0.0001), Min Plateau (5.69 GHz vs. 5.65 GHz, p<0.0001), Mean A150 (5.72 GHz vs. 5.68 GHz, p<0.0001) and Min A150 (5.70 GHz vs. 5.65 GHz, p<0.001). All MT Brillouin Plateau and A150 Mean and Min metrics fully differentiated groups (AUROC = 1.0 for each), while the best performing Scheimpflug metrics were the Keratoconus Index (AUROC = 0.91), IS Value (AUROC = 0.89), and Index of Vertical Asymmetry (IVA, AUROC = 0.88).

Conclusions : MT Brillouin microscopy metrics effectively characterized focal corneal biomechanical alterations in SKC eyes and clearly differentiated these eyes from controls, including eyes that were not accurately differentiated using Scheimpflug metrics.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

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