June 2022
Volume 63, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2022
Comparison of Stress Distribution Patterns in Keratoconus and Healthy Eyes
Author Affiliations & Notes
  • Kayla Knoll
    Department of Ophthalmology and Visual Sciences, The Ohio State University College of Medicine, Columbus, Ohio, United States
  • Cynthia J Roberts
    Department of Ophthalmology and Visual Sciences, The Ohio State University College of Medicine, Columbus, Ohio, United States
    Department of Biomedical Engineering, The Ohio State University, Columbus, Ohio, United States
  • Ashraf Mahmoud
    Department of Biomedical Engineering, The Ohio State University, Columbus, Ohio, United States
    Department of Ophthalmology and Visual Sciences, The Ohio State University College of Medicine, Columbus, Ohio, United States
  • Phillip Thomas Yuhas
    The Ohio State University College of Optometry, Columbus, Ohio, United States
  • Andrew Hendershot
    Department of Ophthalmology and Visual Sciences, The Ohio State University College of Medicine, Columbus, Ohio, United States
  • Footnotes
    Commercial Relationships   Kayla Knoll None; Cynthia Roberts Ziemer Ophthalmic Systems AG, Oculus Optikgeräte GmbH, Code C (Consultant/Contractor), Heidelberg Engineering, Inc, Code R (Recipient); Ashraf Mahmoud None; Phillip Yuhas None; Andrew Hendershot None
  • Footnotes
    Support  NIH/NEI R01 EY027399
Investigative Ophthalmology & Visual Science June 2022, Vol.63, 2387 – A0190. doi:
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    • Get Citation

      Kayla Knoll, Cynthia J Roberts, Ashraf Mahmoud, Phillip Thomas Yuhas, Andrew Hendershot; Comparison of Stress Distribution Patterns in Keratoconus and Healthy Eyes. Invest. Ophthalmol. Vis. Sci. 2022;63(7):2387 – A0190.

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

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Abstract

Purpose : To compare stress distribution patterns in keratoconus (KCN) and normal (NRL) corneas and the relationships between areas of greatest curvature, thinnest pachymetry and high vs low stress.

Methods : Geometric Corneal Stress Factor (GCSF) was defined according to the hoop stress formula without intraocular pressure (IOP), R/2t, where R is radius of curvature and t is thickness. GCSF was calculated on 66 KCN eyes of 40 subjects and 310 NRL eyes of 155 subjects who were prospectively enrolled and received Pentacam Tomography (Oculus, Wetzlar, Germany). Custom software was developed and used to identify the 2mm diameter zone of greatest curvature (AvgKMax), 2mm diameter zone of thinnest pachymetry (PachMin), 2mm zone of greatest GCSF (StressMax), 2mm zone of lowest GCSF(StressMin). Average maps were created for KCN and NRL cohorts with central AvgKMax (center located within 3.0 mm diameter central zone), Inferior-Nasal AvgKMax and Inferior-Temporal AvgKMax. Paired T-tests were performed between locations of AvgKMax and StressMax and locations of AvgKMax and StressMin as well as between locations of PachMin and StressMax and PachMin and StressMin. Univariate linear regressions were performed with significance threshold of p < 0.05 for all analyses.

Results : In NRL, greatest stress is significantly associated with both thinnest pachymetry and greatest curvature, while in KCN, lowest stress is significantly associated with greatest curvature. The range of greatest stress in KCN is 6.50 – 15.27 with a mean of 8.82 +/-1.70 and the range of greatest stress in NRL is 5.85 – 8.45 with a mean of 7.07 +/-0.44. The range of lowest stress in KCN is 4.97 – 7.42 with a mean of 6.40 +/-0.54 and the range of lowest stress in NRL is 5.07 – 7.42 with a mean of 6.14+/-0.44. There is a significant difference in greatest stress between KCN and NRL, with KCN being higher than NRL. There is also a significant difference in lowest stress between KCN and NRL, with KCN being higher than NRL.

Conclusions : The hoop stress formula shows greater stress with either lower thickness or flatter curvature (greater R). In NRL, corneal stress distribution is driven by thickness, with greatest stress at lowest pachymetry and greatest curvature. However, in KCN, corneal stress distribution shifts such that it is driven by curvature with lowest stress at greatest curvature.

This abstract was presented at the 2022 ARVO Annual Meeting, held in Denver, CO, May 1-4, 2022, and virtually.

 

 

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