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      Normative Values for Corneal Nerve Morphology Assessed Using Corneal Confocal Microscopy: A Multinational Normative Data Set

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          Abstract

          OBJECTIVE

          Corneal confocal microscopy is a novel diagnostic technique for the detection of nerve damage and repair in a range of peripheral neuropathies, in particular diabetic neuropathy. Normative reference values are required to enable clinical translation and wider use of this technique. We have therefore undertaken a multicenter collaboration to provide worldwide age-adjusted normative values of corneal nerve fiber parameters.

          RESEARCH DESIGN AND METHODS

          A total of 1,965 corneal nerve images from 343 healthy volunteers were pooled from six clinical academic centers. All subjects underwent examination with the Heidelberg Retina Tomograph corneal confocal microscope. Images of the central corneal subbasal nerve plexus were acquired by each center using a standard protocol and analyzed by three trained examiners using manual tracing and semiautomated software (CCMetrics). Age trends were established using simple linear regression, and normative corneal nerve fiber density (CNFD), corneal nerve fiber branch density (CNBD), corneal nerve fiber length (CNFL), and corneal nerve fiber tortuosity (CNFT) reference values were calculated using quantile regression analysis.

          RESULTS

          There was a significant linear age-dependent decrease in CNFD (−0.164 no./mm 2 per year for men, P < 0.01, and −0.161 no./mm 2 per year for women, P < 0.01). There was no change with age in CNBD (0.192 no./mm 2 per year for men, P = 0.26, and −0.050 no./mm 2 per year for women, P = 0.78). CNFL decreased in men (−0.045 mm/mm 2 per year, P = 0.07) and women (−0.060 mm/mm 2 per year, P = 0.02). CNFT increased with age in men (0.044 per year, P < 0.01) and women (0.046 per year, P < 0.01). Height, weight, and BMI did not influence the 5th percentile normative values for any corneal nerve parameter.

          CONCLUSIONS

          This study provides robust worldwide normative reference values for corneal nerve parameters to be used in research and clinical practice in the study of diabetic and other peripheral neuropathies.

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          Most cited references30

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          Intraepidermal nerve fiber density at the distal leg: a worldwide normative reference study.

          The diagnostic reliability of skin biopsy in small fiber neuropathy depends on the availability of normative reference values. We performed a multicenter study to assess the normative values of intraepidermal nerve fiber (IENF) density at distal leg stratified by age deciles. Eight skin biopsy laboratories from Europe, USA, and Asia submitted eligible data. Inclusion criteria of raw data were healthy subjects 18 years or older; known age and gender; 3-mm skin biopsy performed 10-cm above the lateral malleolus; bright-field immunohistochemistry protocol, and quantification of linear IENF density in three 50-µm sections according to published guidelines. Data on height and weight were recorded, and body mass index (BMI) was calculated in subjects with both available data. Normative IENF density reference values were calculated through quantile regression analysis; influence of height, weight, or BMI was determined by regression analyses. IENF densities from 550 participants (285 women, 265 men) were pooled. We found a significant age-dependent decrease of IENF density in both genders (women p < 0.001; men p = 0.002). Height, weight, or BMI did not influence the calculated 5th percentile IENF normative densities in both genders. Our study provides IENF density normative reference values at the distal leg to be used in clinical practice. © 2010 Peripheral Nerve Society.
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            Automatic analysis of diabetic peripheral neuropathy using multi-scale quantitative morphology of nerve fibres in corneal confocal microscopy imaging.

            Diabetic peripheral neuropathy (DPN) is one of the most common long term complications of diabetes. Corneal confocal microscopy (CCM) image analysis is a novel non-invasive technique which quantifies corneal nerve fibre damage and enables diagnosis of DPN. This paper presents an automatic analysis and classification system for detecting nerve fibres in CCM images based on a multi-scale adaptive dual-model detection algorithm. The algorithm exploits the curvilinear structure of the nerve fibres and adapts itself to the local image information. Detected nerve fibres are then quantified and used as feature vectors for classification using random forest (RF) and neural networks (NNT) classifiers. We show, in a comparative study with other well known curvilinear detectors, that the best performance is achieved by the multi-scale dual model in conjunction with the NNT classifier. An evaluation of clinical effectiveness shows that the performance of the automated system matches that of ground-truth defined by expert manual annotation.
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              Is Open Access

              Corneal Confocal Microscopy

              OBJECTIVE The accurate quantification of human diabetic neuropathy is important to define at-risk patients, anticipate deterioration, and assess new therapies. RESEARCH DESIGN AND METHODS A total of 101 diabetic patients and 17 age-matched control subjects underwent neurological evaluation, neurophysiology tests, quantitative sensory testing, and evaluation of corneal sensation and corneal nerve morphology using corneal confocal microscopy (CCM). RESULTS Corneal sensation decreased significantly (P = 0.0001) with increasing neuropathic severity and correlated with the neuropathy disability score (NDS) (r = 0.441, P 3) defined an NFD of 6) defined a NFD cutoff of <20.8/mm2 with a sensitivity of 0.71 (0.42–0.92) and specificity of 0.64 (0.54–0.74). CONCLUSIONS CCM is a noninvasive clinical technique that may be used to detect early nerve damage and stratify diabetic patients with increasing neuropathic severity.
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                Author and article information

                Journal
                Diabetes Care
                Diabetes Care
                diacare
                dcare
                Diabetes Care
                Diabetes Care
                American Diabetes Association
                0149-5992
                1935-5548
                May 2015
                29 January 2015
                : 38
                : 5
                : 838-843
                Affiliations
                [1] 1Centre for Endocrinology and Diabetes, Institute of Human Development, University of Manchester, Manchester, U.K.
                [2] 2Medical Statistics Unit, University of Manchester and University Hospital of South Manchester, Manchester, U.K.
                [3] 3Institute of Health Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
                [4] 4Department of Ophthalmology, University of Rostock, Rostock, Germany
                [5] 5Institute for Clinical Diabetology, German Diabetes Center at Heinrich Heine University, Leibniz Center for Diabetes Research, Düsseldorf, Germany
                [6] 6Department of Endocrinology and Diabetology, University Hospital, Düsseldorf, Germany
                [7] 7Alberta Children’s Hospital, Alberta Children’s Hospital Research Institute, University of Calgary, Calgary, Canada
                [8] 8Division of Endocrinology, Leadership Sinai Centre for Diabetes, University of Toronto, Toronto, Canada
                [9] 9Division of Neurology, University Health Network, University of Toronto, Toronto, Canada
                [10] 10Department of Neurology, University of Utah, Salt Lake City, UT
                [11] 11Weill Cornell Medical College in Qatar, Ar Rayyān, Qatar
                Author notes
                Corresponding author: Rayaz A. Malik, rayaz.a.malik@ 123456man.ac.uk .
                Article
                2311
                10.2337/dc14-2311
                4407754
                25633665
                41624ae9-098c-44b0-88a2-92bbb3193551
                © 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.
                History
                : 1 October 2014
                : 4 January 2015
                Page count
                Pages: 6
                Categories
                Pathophysiology/Complications

                Endocrinology & Diabetes
                Endocrinology & Diabetes

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