April 2009
Volume 50, Issue 13
Free
ARVO Annual Meeting Abstract  |   April 2009
Software for Measuring Nerve Fibers in the Cornea with Application to Diabetic Neuropathy
Author Affiliations & Notes
  • T. J. Holmes
    Lickenbrock Technologies, LLC, Saint Louis, Missouri
  • M. Pellegrini
    University of Milan, Milan, Italy
  • S. Luccarelli
    University of Milan, Milan, Italy
  • C. Miller
    Lickenbrock Technologies, LLC, Saint Louis, Missouri
  • S. Larkin
    Lickenbrock Technologies, LLC, Saint Louis, Missouri
  • T. Epplin-Zapf
    Lickenbrock Technologies, LLC, Saint Louis, Missouri
  • G. Staurenghi
    University of Milan, Milan, Italy
  • Footnotes
    Commercial Relationships  T.J. Holmes, Lickenbrock Technologies, E; M. Pellegrini, None; S. Luccarelli, None; C. Miller, Lickenbrock Technologies, E; S. Larkin, Lickenbrock Technologies, E; T. Epplin-Zapf, Lickenbrock Technologies, E; G. Staurenghi, Lickenbrock Technologies, C.
  • Footnotes
    Support  NIH Grant R43NS063449
Investigative Ophthalmology & Visual Science April 2009, Vol.50, 3706. doi:
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      T. J. Holmes, M. Pellegrini, S. Luccarelli, C. Miller, S. Larkin, T. Epplin-Zapf, G. Staurenghi; Software for Measuring Nerve Fibers in the Cornea with Application to Diabetic Neuropathy. Invest. Ophthalmol. Vis. Sci. 2009;50(13):3706.

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

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Abstract

Purpose: : The purpose of the software algorithms being developed is to test feasibility of measuring peripheral neurons in the cornea. The ultimate aim is a clinical tool for following progression of neuropathy and to thereby provide a test that corroborates, confirms or helps determine the cause of neuropathic symptoms.

Methods: : Algorithms were designed and prototyped in software programs. The algorithms automatically find and mark peripheral nerve fibers that are seen in scanning laser ophthalmoscope images of the cornea. They also calculate morphometry and intensity measures of the nerve fibers. A database of subjects that were categorized with levels of neuropathy through electromyography was tested to determine trends in morphometry. The categories were: healthy (no-diabetes), diabetic but no neuropathy, mild, moderate and severe.

Results: : Statistical hypothesis testing, using standard linear regression analysis, showed a statistically significant trend in several morphometry and intensity measures.

Conclusions: : The trends found in the statisical significance testing provide a promise of finding objective and quantitative means for following progression of peripheral neuropathy.

Keywords: imaging/image analysis: clinical • diabetes • cornea: stroma and keratocytes 
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