June 2021
Volume 62, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2021
In Vivo Approach to Estimate Ocular Rigidity and to Compare Biomechanical and Biometry Characteristics in Humans
Author Affiliations & Notes
  • Yanhui Ma
    Department of Ophthalmology and Visual Sciences, The Ohio State University, Columbus, Ohio, United States
  • Sayoko E Moroi
    Department of Ophthalmology and Visual Sciences, The Ohio State University, Columbus, Ohio, United States
  • Cynthia J Roberts
    Department of Ophthalmology and Visual Sciences, The Ohio State University, Columbus, Ohio, United States
    Department of Biomedical Engineering, The Ohio State University, Columbus, Ohio, United States
  • Footnotes
    Commercial Relationships   Yanhui Ma, None; Sayoko Moroi, Wolters Kluwer Health (R); Cynthia Roberts, OCULUS Optikgeräte GmbH (C), Optimo Medical AG (C), Ziemer Ophthalmic Systems AG (C)
  • Footnotes
    Support  NIH R01EY027399
Investigative Ophthalmology & Visual Science June 2021, Vol.62, 1820. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Yanhui Ma, Sayoko E Moroi, Cynthia J Roberts; In Vivo Approach to Estimate Ocular Rigidity and to Compare Biomechanical and Biometry Characteristics in Humans. Invest. Ophthalmol. Vis. Sci. 2021;62(8):1820.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : Our purpose was to use dynamic optical coherence tomography (OCT) video to estimate ocular rigidity. Furthermore, we evaluated the relationship between ocular rigidity and the biomechanical and biometry characteristics of the human eye.

Methods : Ocular rigidity was calculated using Friedenwald's empirical equation which estimates the change in intraocular pressure (IOP) produced by volumetric changes of the eye due to choroidal pulsations with each heartbeat. High-speed OCT video was utilized to noninvasively measure changes in choroidal volume through time-series analysis. A control-case study design was based on 23 healthy controls and 6 glaucoma cases. Multiple diagnostic modalities were performed during the same visit including Spectralis OCT for nerve head video, Pascal Dynamic Contour Tonometry for IOP and ocular pulse amplitude (OPA) measurement, Corvis ST for measuring dynamic biomechanical response, and Pentacam for characterizing biometry dimensions of the eye.

Results : Ocular rigidity in glaucoma was significantly larger than in healthy eyes (p=0.039). Negative correlations of ocular rigidity were found with axial length (n=29, p=0.003), and anterior chamber volume (p=0.0002). A stronger correlation of ocular rigidity was observed with the stiffness parameter at the highest concavity (SP-HC; R=0.62, p=0.0005) quantifying scleral stiffness, than at the first applanation (SP-A1; R=0.41, p=0.033) quantifying corneal stiffness. In addition, there was a positive correlation between the ocular rigidity and the static pressure-volume ratio (P/V ratio) (p<0.0001) (see Fig.1).

Conclusions : Ocular rigidity was noninvasively assessed using OCT video and OPA in a clinical setting. The strong correlation of ocular rigidity with biomechanical parameters, SP-HC and P/V ratio, demonstrated the validity of the ocular rigidity estimation. These in vivo methods offer an important approach to investigate the role of ocular biomechanics in glaucoma. Higher ocular rigidity in glaucoma offers evidence that the scleral stiffness is a contributing factor to the pathogenesis of glaucoma.

This is a 2021 ARVO Annual Meeting abstract.

 

Fig.1. Ocular rigidity was negatively correlated with (A) axial length (R= -0.53, p=0.003) and (B) anterior chamber volume (R= -0.64, p=0.0002). Ocular rigidity was positively correlated with (C) SP-HC (R=0.62, p=0.0005) and (D) pressure-volume ratio (R=0.72, p<0.0001).

Fig.1. Ocular rigidity was negatively correlated with (A) axial length (R= -0.53, p=0.003) and (B) anterior chamber volume (R= -0.64, p=0.0002). Ocular rigidity was positively correlated with (C) SP-HC (R=0.62, p=0.0005) and (D) pressure-volume ratio (R=0.72, p<0.0001).

×
×

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.

×