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Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation

BACKGROUND: The evolution of cartilage degeneration is still not fully understood, partly due to its thinness, low radio-opacity and therefore lack of adequately resolving imaging techniques. X-ray phase-contrast imaging (X-PCI) offers increased sensitivity with respect to standard radiography and C...

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Autores principales: Horng, Annie, Stroebel, Johannes, Geith, Tobias, Milz, Stefan, Pacureanu, Alexandra, Yang, Yang, Cloetens, Peter, Lovric, Goran, Mittone, Alberto, Bravin, Alberto, Coan, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182937/
https://www.ncbi.nlm.nih.gov/pubmed/34098949
http://dx.doi.org/10.1186/s12929-021-00739-1
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author Horng, Annie
Stroebel, Johannes
Geith, Tobias
Milz, Stefan
Pacureanu, Alexandra
Yang, Yang
Cloetens, Peter
Lovric, Goran
Mittone, Alberto
Bravin, Alberto
Coan, Paola
author_facet Horng, Annie
Stroebel, Johannes
Geith, Tobias
Milz, Stefan
Pacureanu, Alexandra
Yang, Yang
Cloetens, Peter
Lovric, Goran
Mittone, Alberto
Bravin, Alberto
Coan, Paola
author_sort Horng, Annie
collection PubMed
description BACKGROUND: The evolution of cartilage degeneration is still not fully understood, partly due to its thinness, low radio-opacity and therefore lack of adequately resolving imaging techniques. X-ray phase-contrast imaging (X-PCI) offers increased sensitivity with respect to standard radiography and CT allowing an enhanced visibility of adjoining, low density structures with an almost histological image resolution. This study examined the feasibility of X-PCI for high-resolution (sub-) micrometer analysis of different stages in tissue degeneration of human cartilage samples and compare it to histology and transmission electron microscopy. METHODS: Ten 10%-formalin preserved healthy and moderately degenerated osteochondral samples, post-mortem extracted from human knee joints, were examined using four different X-PCI tomographic set-ups using synchrotron radiation the European Synchrotron Radiation Facility (France) and the Swiss Light Source (Switzerland). Volumetric datasets were acquired with voxel sizes between 0.7 × 0.7 × 0.7 and 0.1 × 0.1 × 0.1 µm(3). Data were reconstructed by a filtered back-projection algorithm, post-processed by ImageJ, the WEKA machine learning pixel classification tool and VGStudio max. For correlation, osteochondral samples were processed for histology and transmission electron microscopy. RESULTS: X-PCI provides a three-dimensional visualization of healthy and moderately degenerated cartilage samples down to a (sub-)cellular level with good correlation to histologic and transmission electron microscopy images. X-PCI is able to resolve the three layers and the architectural organization of cartilage including changes in chondrocyte cell morphology, chondrocyte subgroup distribution and (re-)organization as well as its subtle matrix structures. CONCLUSIONS: X-PCI captures comprehensive cartilage tissue transformation in its environment and might serve as a tissue-preserving, staining-free and volumetric virtual histology tool for examining and chronicling cartilage behavior in basic research/laboratory experiments of cartilage disease evolution.
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spelling pubmed-81829372021-06-09 Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation Horng, Annie Stroebel, Johannes Geith, Tobias Milz, Stefan Pacureanu, Alexandra Yang, Yang Cloetens, Peter Lovric, Goran Mittone, Alberto Bravin, Alberto Coan, Paola J Biomed Sci Research BACKGROUND: The evolution of cartilage degeneration is still not fully understood, partly due to its thinness, low radio-opacity and therefore lack of adequately resolving imaging techniques. X-ray phase-contrast imaging (X-PCI) offers increased sensitivity with respect to standard radiography and CT allowing an enhanced visibility of adjoining, low density structures with an almost histological image resolution. This study examined the feasibility of X-PCI for high-resolution (sub-) micrometer analysis of different stages in tissue degeneration of human cartilage samples and compare it to histology and transmission electron microscopy. METHODS: Ten 10%-formalin preserved healthy and moderately degenerated osteochondral samples, post-mortem extracted from human knee joints, were examined using four different X-PCI tomographic set-ups using synchrotron radiation the European Synchrotron Radiation Facility (France) and the Swiss Light Source (Switzerland). Volumetric datasets were acquired with voxel sizes between 0.7 × 0.7 × 0.7 and 0.1 × 0.1 × 0.1 µm(3). Data were reconstructed by a filtered back-projection algorithm, post-processed by ImageJ, the WEKA machine learning pixel classification tool and VGStudio max. For correlation, osteochondral samples were processed for histology and transmission electron microscopy. RESULTS: X-PCI provides a three-dimensional visualization of healthy and moderately degenerated cartilage samples down to a (sub-)cellular level with good correlation to histologic and transmission electron microscopy images. X-PCI is able to resolve the three layers and the architectural organization of cartilage including changes in chondrocyte cell morphology, chondrocyte subgroup distribution and (re-)organization as well as its subtle matrix structures. CONCLUSIONS: X-PCI captures comprehensive cartilage tissue transformation in its environment and might serve as a tissue-preserving, staining-free and volumetric virtual histology tool for examining and chronicling cartilage behavior in basic research/laboratory experiments of cartilage disease evolution. BioMed Central 2021-06-07 /pmc/articles/PMC8182937/ /pubmed/34098949 http://dx.doi.org/10.1186/s12929-021-00739-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Horng, Annie
Stroebel, Johannes
Geith, Tobias
Milz, Stefan
Pacureanu, Alexandra
Yang, Yang
Cloetens, Peter
Lovric, Goran
Mittone, Alberto
Bravin, Alberto
Coan, Paola
Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation
title Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation
title_full Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation
title_fullStr Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation
title_full_unstemmed Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation
title_short Multiscale X-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation
title_sort multiscale x-ray phase contrast imaging of human cartilage for investigating osteoarthritis formation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182937/
https://www.ncbi.nlm.nih.gov/pubmed/34098949
http://dx.doi.org/10.1186/s12929-021-00739-1
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