Fully automated, semiautomated, and manual morphometric analysis of corneal subbasal nerve plexus in individuals with and without diabetes

Dehghani, Cirous, Pritchard, Nicola, Edwards, Katie, Russell, Anthony W., Malik, Rayaz A. and Efron, Nathan (2014) Fully automated, semiautomated, and manual morphometric analysis of corneal subbasal nerve plexus in individuals with and without diabetes. Cornea, 33 7: 696-702. doi:10.1097/ICO.0000000000000152


Author Dehghani, Cirous
Pritchard, Nicola
Edwards, Katie
Russell, Anthony W.
Malik, Rayaz A.
Efron, Nathan
Title Fully automated, semiautomated, and manual morphometric analysis of corneal subbasal nerve plexus in individuals with and without diabetes
Journal name Cornea   Check publisher's open access policy
ISSN 0277-3740
1536-4798
Publication date 2014-07-01
Year available 2014
Sub-type Article (original research)
DOI 10.1097/ICO.0000000000000152
Volume 33
Issue 7
Start page 696
End page 702
Total pages 7
Place of publication Philadelphia, PA, United States
Publisher Lippincott Williams & Wilkins
Collection year 2015
Language eng
Formatted abstract
Purpose: The aim of the study was to determine the association, agreement, and detection capability of manual, semiautomated, and fully automated methods of corneal nerve fiber length (CNFL) quantification of the human corneal subbasal nerve plexus (SNP).
Methods: Thirty-three participants with diabetes and 17 healthy controls underwent laser scanning corneal confocal microscopy. Eight central images of the SNP were selected for each participant and analyzed using manual (CCMetrics), semiautomated (NeuronJ), and fully automated (ACCMetrics) software to quantify the CNFL.
Results: For the entire cohort, mean CNFL values quantified by CCMetrics, NeuronJ, and ACCMetrics were 17.4 ± 4.3 mm/mm2, 16.0 ± 3.9 mm/mm2, and 16.5 ± 3.6 mm/mm2, respectively (P < 0.01). CNFL quantified using CCMetrics was significantly higher than those obtained by NeuronJ and ACCMetrics (P < 0.05). The 3 methods were highly correlated (correlation coefficients 0.87–0.98, P < 0.01). The intraclass correlation coefficients were 0.87 for ACCMetrics versus NeuronJ and 0.86 for ACCMetrics versus CCMetrics. Bland–Altman plots showed good agreement between the manual, semiautomated, and fully automated analyses of CNFL. A small underestimation of CNFL was observed using ACCMetrics with increasing the amount of nerve tissue. All 3 methods were able to detect CNFL depletion in diabetic participants (P < 0.05) and in those with peripheral neuropathy as defined by the Toronto criteria, compared with healthy controls (P < 0.05).
Conclusions: Automated quantification of CNFL provides comparable neuropathy detection ability to manual and semiautomated methods. Because of its speed, objectivity, and consistency, fully automated analysis of CNFL might be advantageous in studies of diabetic neuropathy.
Keyword Corneal confocal microscopy
Corneal nerve fiber length
Morphometric analysis
Diabetic neuropathy
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Medicine Publications
 
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Created: Fri, 13 Jun 2014, 03:18:58 EST by Dr Anthony Russell on behalf of Medicine - Princess Alexandra Hospital