Intraoperative hyperspectral imaging (HSI) as a new diagnostic tool for the detection of cartilage degeneration.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
12 01 2022
Historique:
received: 16 07 2021
accepted: 17 12 2021
entrez: 13 1 2022
pubmed: 14 1 2022
medline: 1 3 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35022498
doi: 10.1038/s41598-021-04642-5
pii: 10.1038/s41598-021-04642-5
pmc: PMC8755763
doi:

Types de publication

Controlled Clinical Trial Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

608

Informations de copyright

© 2022. The Author(s).

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Auteurs

Max Kistler (M)

Department of Orthopaedics, Trauma and Plastic Surgery, University Hospital Leipzig, 04103, Leipzig, Germany.

Hannes Köhler (H)

Innovation Center Computer Assisted Surgery (ICCAS), University of Leipzig, Leipzig, Germany.

Jan Theopold (J)

Department of Orthopaedics, Trauma and Plastic Surgery, University Hospital Leipzig, 04103, Leipzig, Germany.

Ines Gockel (I)

Department of Visceral, Transplant, Thoracic and Vascular Surgery, Leipzig University Hospital, Leipzig, Germany.

Andreas Roth (A)

Department of Orthopaedics, Trauma and Plastic Surgery, University Hospital Leipzig, 04103, Leipzig, Germany.

Pierre Hepp (P)

Department of Orthopaedics, Trauma and Plastic Surgery, University Hospital Leipzig, 04103, Leipzig, Germany.

Georg Osterhoff (G)

Department of Orthopaedics, Trauma and Plastic Surgery, University Hospital Leipzig, 04103, Leipzig, Germany. georg.osterhoff@medizin.uni-leipzig.de.

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Classifications MeSH