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Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration
To investigate, whether hyperspectral imaging (HSI) is able to reliably differentiate between healthy and damaged cartilage tissue. A prospective diagnostic study was performed including 21 patients undergoing open knee surgery. HSI data were acquired during surgery, and the joint surface’s cartilag...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755763/ https://www.ncbi.nlm.nih.gov/pubmed/35022498 http://dx.doi.org/10.1038/s41598-021-04642-5 |
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author | Kistler, Max Köhler, Hannes Theopold, Jan Gockel, Ines Roth, Andreas Hepp, Pierre Osterhoff, Georg |
author_facet | Kistler, Max Köhler, Hannes Theopold, Jan Gockel, Ines Roth, Andreas Hepp, Pierre Osterhoff, Georg |
author_sort | Kistler, Max |
collection | PubMed |
description | To investigate, whether hyperspectral imaging (HSI) is able to reliably differentiate between healthy and damaged cartilage tissue. A prospective diagnostic study was performed including 21 patients undergoing open knee surgery. HSI data were acquired during surgery, and the joint surface’s cartilage was assessed according to the ICRS cartilage injury score. The HSI system records light spectra from 500 to 1000 nm and generates several parameters including tissue water index (TWI) and the absorbance at 960 nm and 540 nm. Receiver operating characteristic curves were calculated to assess test parameters for threshold values of HSI. Areas with a cartilage defect ICRS grade ≥ 3 showed a significantly lower TWI (p = 0.026) and higher values for 540 nm (p < 0.001). No difference was seen for 960 nm (p = 0.244). For a threshold of 540 nm > 0.74, a cartilage defect ICRS grade ≥ 3 could be detected with a sensitivity of 0.81 and a specificity of 0.81. TWI was not suitable for cartilage defect detection. HSI can provide reliable parameters to differentiate healthy and damaged cartilage. Our data clearly suggest that the difference in absorbance at 540 nm would be the best parameter to achieve accurate identification of damaged cartilage. |
format | Online Article Text |
id | pubmed-8755763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87557632022-01-14 Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration Kistler, Max Köhler, Hannes Theopold, Jan Gockel, Ines Roth, Andreas Hepp, Pierre Osterhoff, Georg Sci Rep Article To investigate, whether hyperspectral imaging (HSI) is able to reliably differentiate between healthy and damaged cartilage tissue. A prospective diagnostic study was performed including 21 patients undergoing open knee surgery. HSI data were acquired during surgery, and the joint surface’s cartilage was assessed according to the ICRS cartilage injury score. The HSI system records light spectra from 500 to 1000 nm and generates several parameters including tissue water index (TWI) and the absorbance at 960 nm and 540 nm. Receiver operating characteristic curves were calculated to assess test parameters for threshold values of HSI. Areas with a cartilage defect ICRS grade ≥ 3 showed a significantly lower TWI (p = 0.026) and higher values for 540 nm (p < 0.001). No difference was seen for 960 nm (p = 0.244). For a threshold of 540 nm > 0.74, a cartilage defect ICRS grade ≥ 3 could be detected with a sensitivity of 0.81 and a specificity of 0.81. TWI was not suitable for cartilage defect detection. HSI can provide reliable parameters to differentiate healthy and damaged cartilage. Our data clearly suggest that the difference in absorbance at 540 nm would be the best parameter to achieve accurate identification of damaged cartilage. Nature Publishing Group UK 2022-01-12 /pmc/articles/PMC8755763/ /pubmed/35022498 http://dx.doi.org/10.1038/s41598-021-04642-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Kistler, Max Köhler, Hannes Theopold, Jan Gockel, Ines Roth, Andreas Hepp, Pierre Osterhoff, Georg Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration |
title | Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration |
title_full | Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration |
title_fullStr | Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration |
title_full_unstemmed | Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration |
title_short | Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration |
title_sort | intraoperative hyperspectral imaging (hsi) as a new diagnostic tool for the detection of cartilage degeneration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755763/ https://www.ncbi.nlm.nih.gov/pubmed/35022498 http://dx.doi.org/10.1038/s41598-021-04642-5 |
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