A semi-automated method to assess intraepidermal nerve fibre density in human skin biopsies.

Details

Serval ID
serval:BIB_2C2D9710C6AB
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
A semi-automated method to assess intraepidermal nerve fibre density in human skin biopsies.
Journal
Histopathology
Author(s)
Seger S., Stritt M., Doppler K., Frank S., Panaite A., Kuntzer T., Steck A., Pagenstecher A., Sommer C., Stalder A.K.
ISSN
1365-2559 (Electronic)
ISSN-L
0309-0167
Publication state
Published
Issued date
04/2016
Peer-reviewed
Oui
Volume
68
Number
5
Pages
657-665
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Evaluation of intraepidermal nerve fibres (IENFs) in skin biopsies is used in the diagnosis of small-fibre neuropathies. The number of IENFs is assessed manually under a microscope, with an inter-rater variability of ~25%. Unless the images are digitized, there is no documentation. Our aim was to develop a method for standardized semi-automated quantification (SAQ) and documentation of IENF density.
We analysed samples from four different university centres that were immunostained according to local protocols. Images were acquired through the Z-plane with a whole slide scanner. orbit image analysis software was used to create an analysable image and develop a reliable algorithm for IENF detection. Rebuilt images revealed well-contrasted nerves, allowing detection of IENFs (automated). The software presented the detected nerves for confirmation by the operator (manual). As compared with the conventional microscopy count, the SAQ achieved correlation coefficients of 0.99 and 0.96 and interfacility variabilities of 19% and 23%, respectively. We found better reproducibility with fluorescence-stained specimens than with bright-field images.
The new semi-automated method has high experimenter-independent reproducibility when based on nerve detection by fluorescence and is easy to perform, even by untrained users. The IENF counting is electronically well documented.

Keywords
Automation, Laboratory, Biopsy, Humans, Image Processing, Computer-Assisted, Nerve Fibers/pathology, Reproducibility of Results, Skin/innervation, IENF, automated quantification, image analysis, peripheral neuropathies, skin biopsy
Pubmed
Web of science
Create date
26/04/2016 16:44
Last modification date
20/08/2019 13:11
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