Comparison of Near-Infrared Spectroscopy with Needle Indentation and Histology for the Determination of Cartilage Thickness in the Large Animal Model Sheep

Author:

Horbert Victoria1,Lange Matthias2,Reuter Thomas2,Hoffmann Martin3,Bischoff Sabine4,Borowski Juliane1,Schubert Harald4,Driesch Dominik5,Mika Joerg67,Hurschler Christof8,Kinne Raimund W.1

Affiliation:

1. Experimental Rheumatology Unit, Department of Orthopedics, Jena University Hospital, Waldkrankenhaus “Rudolf Elle”, Eisenberg, Germany

2. fzmb GmbH, Research Centre for Medical Technology and Biotechnology, Bad Langensalza, Germany

3. Department of Electrical Engineering and Information Technology, University of Applied Sciences, Jena, Germany

4. Institute of Laboratory Animal Sciences and Welfare, Jena University Hospital, Jena, Germany

5. BioControl Jena GmbH, Jena, Germany

6. Department of Trauma Surgery, University Hospital Giessen and Marburg, Giessen, Germany

7. Laboratory of Experimental Trauma Surgery, Justus-Liebig University, Giessen, Germany

8. Laboratory for Biomechanics and Biomaterials, Orthopaedic Surgery Department, Hannover Medical School, Hannover, Germany

Abstract

The suitability of near-infrared spectroscopy (NIRS) for non-destructive measurement of cartilage thickness was compared with the gold standard needle indentation. A combination of NIRS and biomechanical indentation (NIRS-B) was used to address the influence of varying loads routinely applied for hand-guided NIRS during real-life surgery on the accuracy of NIRS-based thickness prediction. NIRS-B was performed under three different loading conditions in 40 osteochondral cylinders from the load-bearing area of the medial and lateral femur condyle of 20 cadaver joints (left stifle joints; female Merino sheep; 6.1 ± 0.6 years, mean ± standard error of the mean). The cartilage thickness measured by needle indentation within the region analyzed by NIRS-B was then compared with cartilage thickness prediction based on NIRS spectral data using partial least squares regression. NIRS-B repeat measurements yielded highly reproducible values concerning force and absorbance. Separate or combined models for the three loading conditions (the latter simulating load-independent measurements) resulted in models with optimized quality parameters (e.g., coefficients of determination R2 between 92.3 and 94.7) and a prediction accuracy of < 0.1 mm. NIRS appears well suited to determine cartilage thickness (possibly in a hand-guided, load-independent fashion), as shown by high reproducibility in repeat measurements and excellent reliability compared with tissue-destructive needle indentation. This may provide the basis for non-destructive, intra-operative assessment of cartilage status quo and fine-tuning of repair procedures.

Publisher

SAGE Publications

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Biomedical Engineering,Immunology and Allergy

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