Comparison of Near-Infrared Spectroscopy with Needle Indentation and Histology for the Determination of Cartilage Thickness in the Large Animal Model Sheep
| Autor: | Joerg Mika, Sabine Bischoff, Thomas Reuter, Harald Schubert, Juliane Borowski, Matthias Lange, Christof Hurschler, Dominik Driesch, Victoria Horbert, Raimund W. Kinne, Martin Hoffmann |
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| Rok vydání: | 2017 |
| Předmět: |
Cartilage
Articular Materials science Biomedical Engineering Physical Therapy Sports Therapy and Rehabilitation Weight-Bearing 03 medical and health sciences 0302 clinical medicine Cadaver Indentation Partial least squares regression medicine Immunology and Allergy Animals Femur Least-Squares Analysis 030203 arthritis & rheumatology Reproducibility Sheep Spectroscopy Near-Infrared Cartilage Near-infrared spectroscopy Biopsy Needle technology industry and agriculture Reproducibility of Results 030229 sport sciences Anatomy Cartilage thickness equipment and supplies Stifle Disease Models Animal medicine.anatomical_structure surgical procedures operative Basic Research Female Biomedical engineering Large animal |
| Zdroj: | Cartilage. 10(2) |
| ISSN: | 1947-6043 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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