Literature DB >> 22824725

Application of near infrared (NIR) spectroscopy for determining the thickness of articular cartilage.

I Afara1, S Singh, A Oloyede.   

Abstract

The determination of the characteristics of articular cartilage such as thickness, stiffness and swelling, especially in the form that can facilitate real-time decisions and diagnostics is still a matter for research and development. This paper correlates near infrared spectroscopy with mechanically measured cartilage thickness to establish a fast, non-destructive, repeatable and precise protocol for determining this tissue property. Statistical correlation was conducted between the thickness of bovine cartilage specimens (n=97) and regions of their near infrared spectra. Nine regions were established along the full absorption spectrum of each sample and were correlated with the thickness using partial least squares (PLS) regression multivariate analysis. The coefficient of determination (R²) varied between 53 and 93%, with the most predictive region (R²=93.1%, p<0.0001) for cartilage thickness lying in the region (wavenumber) 5350-8850 cm⁻¹. Our results demonstrate that the thickness of articular cartilage can be measured spectroscopically using NIR light. This protocol is potentially beneficial to clinical practice and surgical procedures in the treatment of joint disease such as osteoarthritis.
Copyright © 2012 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22824725     DOI: 10.1016/j.medengphy.2012.04.003

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  22 in total

1.  Characterization of Articular Cartilage Recovery and Its Correlation with Optical Response in the Near-Infrared Spectral Range.

Authors:  Isaac Oluwaseun Afara; Sanjleena Singh; Hayley Moody; Lihai Zhang; Adekunle Oloyede
Journal:  Cartilage       Date:  2016-08-10       Impact factor: 4.634

Review 2.  Vibrational spectroscopy and imaging: applications for tissue engineering.

Authors:  William Querido; Jessica M Falcon; Shital Kandel; Nancy Pleshko
Journal:  Analyst       Date:  2017-10-23       Impact factor: 4.616

3.  Characterization of connective tissues using near-infrared spectroscopy and imaging.

Authors:  Isaac O Afara; Rubina Shaikh; Ervin Nippolainen; William Querido; Jari Torniainen; Jaakko K Sarin; Shital Kandel; Nancy Pleshko; Juha Töyräs
Journal:  Nat Protoc       Date:  2021-01-18       Impact factor: 13.491

4.  Wavelength-dependent penetration depth of near infrared radiation into cartilage.

Authors:  M V Padalkar; N Pleshko
Journal:  Analyst       Date:  2015-04-07       Impact factor: 4.616

5.  Near infrared spectroscopic assessment of developing engineered tissues: correlations with compositional and mechanical properties.

Authors:  Arash Hanifi; Uday Palukuru; Cushla McGoverin; Michael Shockley; Eliot Frank; Alan Grodzinsky; Richard G Spencer; Nancy Pleshko
Journal:  Analyst       Date:  2017-04-10       Impact factor: 4.616

6.  Near infrared spectroscopic evaluation of water in hyaline cartilage.

Authors:  M V Padalkar; R G Spencer; N Pleshko
Journal:  Ann Biomed Eng       Date:  2013-07-04       Impact factor: 3.934

7.  Nondestructive Assessment of Engineered Cartilage Composition by Near Infrared Spectroscopy.

Authors:  Cushla M McGoverin; Arash Hanifi; Uday P Palukuru; Farzad Yousefi; Padraig B M Glenn; Michael Shockley; Richard G Spencer; Nancy Pleshko
Journal:  Ann Biomed Eng       Date:  2016-01-27       Impact factor: 3.934

8.  The contribution of bone and cartilage to the near-infrared spectrum of osteochondral tissue.

Authors:  Cushla M McGoverin; Karl Lewis; Xu Yang; Mathias P G Bostrom; Nancy Pleshko
Journal:  Appl Spectrosc       Date:  2014-10-01       Impact factor: 2.388

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

Authors:  Victoria Horbert; Matthias Lange; Thomas Reuter; Martin Hoffmann; Sabine Bischoff; Juliane Borowski; Harald Schubert; Dominik Driesch; Joerg Mika; Christof Hurschler; Raimund W Kinne
Journal:  Cartilage       Date:  2017-10-05       Impact factor: 4.634

10.  Near infrared spectroscopic imaging assessment of cartilage composition: Validation with mid infrared imaging spectroscopy.

Authors:  Uday P Palukuru; Arash Hanifi; Cushla M McGoverin; Sean Devlin; Peter I Lelkes; Nancy Pleshko
Journal:  Anal Chim Acta       Date:  2016-04-25       Impact factor: 6.558

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.