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Mosaic vs. Single Image Analysis with Confocal Microscopy of the Corneal Nerve Plexus for Diagnosis of Early Diabetic Peripheral Neuropathy

INTRODUCTION: The assessment of the corneal nerve fibre plexus with corneal confocal microscopy (CCM) is an upcoming but still experimental method in the diagnosis of early stage diabetic peripheral neuropathy (DPN). Using an innovative imaging technique—Heidelberg Retina Tomograph equipped with the...

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Autores principales: Matuszewska-Iwanicka, Aleksandra, Stratmann, Bernd, Stachs, Oliver, Allgeier, Stephan, Bartschat, Andreas, Winter, Karsten, Guthoff, Rudolf, Tschoepe, Diethelm, Hettlich, Hans-Joachim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587149/
https://www.ncbi.nlm.nih.gov/pubmed/36184730
http://dx.doi.org/10.1007/s40123-022-00574-z
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author Matuszewska-Iwanicka, Aleksandra
Stratmann, Bernd
Stachs, Oliver
Allgeier, Stephan
Bartschat, Andreas
Winter, Karsten
Guthoff, Rudolf
Tschoepe, Diethelm
Hettlich, Hans-Joachim
author_facet Matuszewska-Iwanicka, Aleksandra
Stratmann, Bernd
Stachs, Oliver
Allgeier, Stephan
Bartschat, Andreas
Winter, Karsten
Guthoff, Rudolf
Tschoepe, Diethelm
Hettlich, Hans-Joachim
author_sort Matuszewska-Iwanicka, Aleksandra
collection PubMed
description INTRODUCTION: The assessment of the corneal nerve fibre plexus with corneal confocal microscopy (CCM) is an upcoming but still experimental method in the diagnosis of early stage diabetic peripheral neuropathy (DPN). Using an innovative imaging technique—Heidelberg Retina Tomograph equipped with the Rostock Cornea Module (HRT-RCM) and EyeGuidance module (EG)—we were able to look at greater areas of subbasal nerve plexus (SNP) in order to increase the diagnostic accuracy. The aim of our study was to evaluate the usefulness of EG instead of single image analysis in diagnosis of early stage DPN. METHODS: This prospective study was performed on 60 patients with type 2 diabetes mellitus, classified equally into two subgroups based on neuropathy deficient score (NDS): patients without DPN (group 1) or with mild DPN (group 2). The following parameters were analysed in the two subgroups: corneal nerve fibre length (CNFL; mm/mm(2)), corneal nerve fibre density (CNFD; no./mm(2)), corneal nerve branch density (CNBD; no./mm(2)). Furthermore, we compared the data calculated with the novel mosaic, EG-based method with those received from single image analysis using different quantification tools. RESULTS: Using EG we did not find a significant difference between group 1 and group 2: CNFL (16.81 ± 5.87 mm/mm(2) vs. 17.19 ± 7.19 mm/mm(2), p = 0.895), CNFD (254.05 ± 115.36 no./mm(2) vs. 265.91 ± 161.63 no./mm(2), p = 0.732) and CNBD (102.68 ± 62.28 no./mm(2) vs. 115.38 ± 96.91 no./mm(2), p = 0.541). No significant difference between the EG method of analysing the SNP and the single image analysis of 10 images per patient was detected. CONCLUSION: On the basis of our results it was not possible to differentiate between early stages of large nerve fibre DPN in patients with type 2 diabetes mellitus via SNP analysis. To improve sensitivity and specificity of this method newer technologies are under current evaluation. TRIAL REGISTRATION: ClinicalTrials.gov Identifier NCT05326958.
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spelling pubmed-95871492022-11-29 Mosaic vs. Single Image Analysis with Confocal Microscopy of the Corneal Nerve Plexus for Diagnosis of Early Diabetic Peripheral Neuropathy Matuszewska-Iwanicka, Aleksandra Stratmann, Bernd Stachs, Oliver Allgeier, Stephan Bartschat, Andreas Winter, Karsten Guthoff, Rudolf Tschoepe, Diethelm Hettlich, Hans-Joachim Ophthalmol Ther Original Research INTRODUCTION: The assessment of the corneal nerve fibre plexus with corneal confocal microscopy (CCM) is an upcoming but still experimental method in the diagnosis of early stage diabetic peripheral neuropathy (DPN). Using an innovative imaging technique—Heidelberg Retina Tomograph equipped with the Rostock Cornea Module (HRT-RCM) and EyeGuidance module (EG)—we were able to look at greater areas of subbasal nerve plexus (SNP) in order to increase the diagnostic accuracy. The aim of our study was to evaluate the usefulness of EG instead of single image analysis in diagnosis of early stage DPN. METHODS: This prospective study was performed on 60 patients with type 2 diabetes mellitus, classified equally into two subgroups based on neuropathy deficient score (NDS): patients without DPN (group 1) or with mild DPN (group 2). The following parameters were analysed in the two subgroups: corneal nerve fibre length (CNFL; mm/mm(2)), corneal nerve fibre density (CNFD; no./mm(2)), corneal nerve branch density (CNBD; no./mm(2)). Furthermore, we compared the data calculated with the novel mosaic, EG-based method with those received from single image analysis using different quantification tools. RESULTS: Using EG we did not find a significant difference between group 1 and group 2: CNFL (16.81 ± 5.87 mm/mm(2) vs. 17.19 ± 7.19 mm/mm(2), p = 0.895), CNFD (254.05 ± 115.36 no./mm(2) vs. 265.91 ± 161.63 no./mm(2), p = 0.732) and CNBD (102.68 ± 62.28 no./mm(2) vs. 115.38 ± 96.91 no./mm(2), p = 0.541). No significant difference between the EG method of analysing the SNP and the single image analysis of 10 images per patient was detected. CONCLUSION: On the basis of our results it was not possible to differentiate between early stages of large nerve fibre DPN in patients with type 2 diabetes mellitus via SNP analysis. To improve sensitivity and specificity of this method newer technologies are under current evaluation. TRIAL REGISTRATION: ClinicalTrials.gov Identifier NCT05326958. Springer Healthcare 2022-10-03 2022-12 /pmc/articles/PMC9587149/ /pubmed/36184730 http://dx.doi.org/10.1007/s40123-022-00574-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Matuszewska-Iwanicka, Aleksandra
Stratmann, Bernd
Stachs, Oliver
Allgeier, Stephan
Bartschat, Andreas
Winter, Karsten
Guthoff, Rudolf
Tschoepe, Diethelm
Hettlich, Hans-Joachim
Mosaic vs. Single Image Analysis with Confocal Microscopy of the Corneal Nerve Plexus for Diagnosis of Early Diabetic Peripheral Neuropathy
title Mosaic vs. Single Image Analysis with Confocal Microscopy of the Corneal Nerve Plexus for Diagnosis of Early Diabetic Peripheral Neuropathy
title_full Mosaic vs. Single Image Analysis with Confocal Microscopy of the Corneal Nerve Plexus for Diagnosis of Early Diabetic Peripheral Neuropathy
title_fullStr Mosaic vs. Single Image Analysis with Confocal Microscopy of the Corneal Nerve Plexus for Diagnosis of Early Diabetic Peripheral Neuropathy
title_full_unstemmed Mosaic vs. Single Image Analysis with Confocal Microscopy of the Corneal Nerve Plexus for Diagnosis of Early Diabetic Peripheral Neuropathy
title_short Mosaic vs. Single Image Analysis with Confocal Microscopy of the Corneal Nerve Plexus for Diagnosis of Early Diabetic Peripheral Neuropathy
title_sort mosaic vs. single image analysis with confocal microscopy of the corneal nerve plexus for diagnosis of early diabetic peripheral neuropathy
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587149/
https://www.ncbi.nlm.nih.gov/pubmed/36184730
http://dx.doi.org/10.1007/s40123-022-00574-z
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