Corneal nerve fractal dimension: a novel corneal nerve metric for the diagnosis of diabetic sensorimotor polyneuropathy

Objective: Corneal confocal microscopy (CCM), an in vivo ophthalmic imaging modality, is a noninvasive and objective imaging biomarker for identifying small nerve fiber damage. We have evaluated the diagnostic performance of previously established CCM parameters to a novel automated measure of corne...

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Main Authors: Chen, Xin, Graham, Jim, Petropoulos, Ioannis N., Ponirakis, Georgios, Asghar, Omar, Alam, Uazman, Marshall, Andrew, Ferdousi, Maryam, Azmi, Shazli, Efron, Nathan, Malik, Rayaz A.
Format: Article
Language:English
Published: Association for Research in Vision and Opthalmology 2018
Online Access:https://eprints.nottingham.ac.uk/50722/
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author Chen, Xin
Graham, Jim
Petropoulos, Ioannis N.
Ponirakis, Georgios
Asghar, Omar
Alam, Uazman
Marshall, Andrew
Ferdousi, Maryam
Azmi, Shazli
Efron, Nathan
Malik, Rayaz A.
author_facet Chen, Xin
Graham, Jim
Petropoulos, Ioannis N.
Ponirakis, Georgios
Asghar, Omar
Alam, Uazman
Marshall, Andrew
Ferdousi, Maryam
Azmi, Shazli
Efron, Nathan
Malik, Rayaz A.
author_sort Chen, Xin
building Nottingham Research Data Repository
collection Online Access
description Objective: Corneal confocal microscopy (CCM), an in vivo ophthalmic imaging modality, is a noninvasive and objective imaging biomarker for identifying small nerve fiber damage. We have evaluated the diagnostic performance of previously established CCM parameters to a novel automated measure of corneal nerve complexity called the corneal nerve fiber fractal dimension (ACNFrD). Methods: A total of 176 subjects (84 controls and 92 patients with type 1 diabetes) with and without diabetic sensorimotor polyneuropathy (DSPN) underwent CCM. Fractal dimension analysis was performed on CCM images using purpose-built corneal nerve analysis software, and compared with previously established manual and automated corneal nerve fiber measurements. Results: Manual and automated subbasal corneal nerve fiber density (CNFD) (P < 0.0001), length (CNFL) (P < 0.0001), branch density (CNBD) (P < 0.05), and ACNFrD (P < 0.0001) were significantly reduced in patients with DSPN compared to patients without DSPN. The areas under the receiver operating characteristic curves for identifying DSPN were comparable: 0.77 for automated CNFD, 0.74 for automated CNFL, 0.69 for automated CNBD, and 0.74 for automated ACNFrD. Conclusions: ACNFrD shows comparable diagnostic efficiency to identify diabetic patients with and without DSPN.
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spelling nottingham-507222018-03-28T12:25:22Z https://eprints.nottingham.ac.uk/50722/ Corneal nerve fractal dimension: a novel corneal nerve metric for the diagnosis of diabetic sensorimotor polyneuropathy Chen, Xin Graham, Jim Petropoulos, Ioannis N. Ponirakis, Georgios Asghar, Omar Alam, Uazman Marshall, Andrew Ferdousi, Maryam Azmi, Shazli Efron, Nathan Malik, Rayaz A. Objective: Corneal confocal microscopy (CCM), an in vivo ophthalmic imaging modality, is a noninvasive and objective imaging biomarker for identifying small nerve fiber damage. We have evaluated the diagnostic performance of previously established CCM parameters to a novel automated measure of corneal nerve complexity called the corneal nerve fiber fractal dimension (ACNFrD). Methods: A total of 176 subjects (84 controls and 92 patients with type 1 diabetes) with and without diabetic sensorimotor polyneuropathy (DSPN) underwent CCM. Fractal dimension analysis was performed on CCM images using purpose-built corneal nerve analysis software, and compared with previously established manual and automated corneal nerve fiber measurements. Results: Manual and automated subbasal corneal nerve fiber density (CNFD) (P < 0.0001), length (CNFL) (P < 0.0001), branch density (CNBD) (P < 0.05), and ACNFrD (P < 0.0001) were significantly reduced in patients with DSPN compared to patients without DSPN. The areas under the receiver operating characteristic curves for identifying DSPN were comparable: 0.77 for automated CNFD, 0.74 for automated CNFL, 0.69 for automated CNBD, and 0.74 for automated ACNFrD. Conclusions: ACNFrD shows comparable diagnostic efficiency to identify diabetic patients with and without DSPN. Association for Research in Vision and Opthalmology 2018-02-28 Article PeerReviewed application/pdf en cc_by_nc_nd https://eprints.nottingham.ac.uk/50722/1/i1552-5783-59-2-1113.pdf Chen, Xin, Graham, Jim, Petropoulos, Ioannis N., Ponirakis, Georgios, Asghar, Omar, Alam, Uazman, Marshall, Andrew, Ferdousi, Maryam, Azmi, Shazli, Efron, Nathan and Malik, Rayaz A. (2018) Corneal nerve fractal dimension: a novel corneal nerve metric for the diagnosis of diabetic sensorimotor polyneuropathy. Investigative Opthalmology & Visual Science, 59 (2). pp. 1113-1118. ISSN 1552-5783 http://iovs.arvojournals.org/article.aspx?articleid=2673889 doi:10.1167/iovs.17-23342 doi:10.1167/iovs.17-23342
spellingShingle Chen, Xin
Graham, Jim
Petropoulos, Ioannis N.
Ponirakis, Georgios
Asghar, Omar
Alam, Uazman
Marshall, Andrew
Ferdousi, Maryam
Azmi, Shazli
Efron, Nathan
Malik, Rayaz A.
Corneal nerve fractal dimension: a novel corneal nerve metric for the diagnosis of diabetic sensorimotor polyneuropathy
title Corneal nerve fractal dimension: a novel corneal nerve metric for the diagnosis of diabetic sensorimotor polyneuropathy
title_full Corneal nerve fractal dimension: a novel corneal nerve metric for the diagnosis of diabetic sensorimotor polyneuropathy
title_fullStr Corneal nerve fractal dimension: a novel corneal nerve metric for the diagnosis of diabetic sensorimotor polyneuropathy
title_full_unstemmed Corneal nerve fractal dimension: a novel corneal nerve metric for the diagnosis of diabetic sensorimotor polyneuropathy
title_short Corneal nerve fractal dimension: a novel corneal nerve metric for the diagnosis of diabetic sensorimotor polyneuropathy
title_sort corneal nerve fractal dimension: a novel corneal nerve metric for the diagnosis of diabetic sensorimotor polyneuropathy
url https://eprints.nottingham.ac.uk/50722/
https://eprints.nottingham.ac.uk/50722/
https://eprints.nottingham.ac.uk/50722/