Near-Infrared Spectroscopy for Mapping of Human Meniscus Biochemical Constituents.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 32720092.
- Also identified by DOI 10.1007/s10439-020-02578-x and PMC identifier 7773612.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Degenerative changes in meniscus are diagnosed during surgery by means of mechanical testing and visual evaluation. This method is qualitative and highly subjective, providing very little information on the internal state of the meniscus. Thus, there is need for novel quantitative methods that can support decision-making during arthroscopic surgery. In this study, we investigate the potential of near-infrared spectroscopy (NIRS) for mapping the biochemical constituents of human meniscus, including water, uronic acid, and hydroxyproline contents. Partial least squares regression models were developed using data from 115 measurement locations of menisci samples extracted from 7 cadavers and 11 surgery patient donors. Model performance was evaluated using an independent test set consisting of 55 measurement locations within a meniscus sample obtained from a separate cadaver. The correlation coefficient of calibration (ρ<sub>training</sub>), test set (ρ<sub>test</sub>), and root-mean-squared error of test set (RMSEP) were as follows: water (ρ<sub>training</sub> = 0.61, ρ<sub>test</sub> = 0.39, and RMSEP = 2.27 percentage points), uronic acid (ρ<sub>training</sub> = 0.68, ρ<sub>test</sub> = 0.69, and RMSEP = 6.09 basis points), and hydroxyproline (ρ<sub>training</sub> = 0.84, ρ<sub>test</sub> = 0.58, and error = 0.54 percentage points). In conclusion, the results suggest that NIRS could enable rapid arthroscopic mapping of changes in meniscus biochemical constituents, thus providing means for quantitative assessment of meniscus degeneration.
Medical subject headings
- Meniscus