Ala-Myllymäki, J., Paakkonen, T., Joukainen, A. et al. Near-Infrared Spectroscopy for Mapping of Human Meniscus Biochemical Constituents. Ann Biomed Eng 49, 469–476 (2021). https://doi.org/10.1007/s10439-020-02578-x
Near-infrared spectroscopy for mapping of human meniscus biochemical constituents
|Author:||Ala-Myllymäki, Juho1; Paakkonen, Tommi2; Joukainen, Antti3;|
1Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
2Institute of Biomedicine, University of Eastern Finland, Kuopio, Finland
3Department of Orthopaedics, Traumatology and Hand Surgery, Kuopio University Hospital, Kuopio, Finland
4Kuopio Musculoskeletal Research Unit, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
5Cancer and Translational Medicine Research Unit, Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland
6School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia
7Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland
|Online Access:||PDF Full Text (PDF, 0.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202102235741
|Publish Date:|| 2021-02-23
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 (ρtraining), test set (ρtest), and root-mean-squared error of test set (RMSEP) were as follows: water (ρtraining = 0.61, ρtest = 0.39, and RMSEP = 2.27 percentage points), uronic acid (ρtraining = 0.68, ρtest = 0.69, and RMSEP = 6.09 basis points), and hydroxyproline (ρtraining = 0.84, ρtest = 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.
Annals of biomedical engineering
|Pages:||469 - 476|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
217 Medical engineering
3126 Surgery, anesthesiology, intensive care, radiology
Open access funding provided by University of Eastern Finland (UEF) including Kuopio University Hospital. Mr. Ala-Myllymäki acknowledges funding support from Jenny and Antti Wihuri Foundation (00170012, 00180012, and 00190016), state research funding (VTR: 1v319, 1v351, and 1v372), and The Paulo Foundation. Dr. Afara acknowledges funding support from the Finnish Cultural Foundation (Suomen Kulttuurirahasto: 00160079 and 00171194) and Academy of Finland (315820). This study was also supported by Academy of Finland project of Professor Töyräs (267551).
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