Literature DB >> 14977216

Assessment of cartilage thickness utilising reflectance spectroscopy.

P A Oberg1, T Sundqvist, A Johansson.   

Abstract

A new principle for cartilage layer thickness assessments in joints is presented. It is based on the differences between the absorption spectra of cartilage and subchondral bone (containing blood). High-resolution ultrasound measurements of cartilage thickness were compared with reflection spectroscopy data from the same area of bovine hip joint condyles. A simple mathematical model allowed calculation of thickness and comparison with ultrasound data. The cartilage thickness was changed by being ground in short episodes. For thicker cartilage layers, a high degree of reflection in the 400-600 nm wavelength interval was seen. For thinner cartilage layers, the characteristics of the spectra of blood and bone dominated those of cartilage. The mean (+/- SD) thickness of intact cartilage was 1.21 +/- 0.30 mm (n = 30). In an exponential regression model, spectroscopic estimation of cartilage thickness showed a correlation coefficient of r = 0.69 (n = 182). For thinner cartilage layers (d < 0.5 mm), the mean model error was 0.19 +/- 0.17 mm. Results from a bi-layer Monte Carlo simulation supported the assumption of an exponential relationship between spectroscopy data and reference ultrasound data. The conclusion is that optical reflection spectroscopy can be used for cartilage layer thickness assessment.

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Year:  2004        PMID: 14977216     DOI: 10.1007/bf02351004

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  26 in total

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Journal:  Phys Med Biol       Date:  1997-11       Impact factor: 3.609

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Journal:  J Orthop Res       Date:  1989       Impact factor: 3.494

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Journal:  IEEE Trans Biomed Eng       Date:  1979-12       Impact factor: 4.538

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Journal:  J Rheumatol       Date:  1999-03       Impact factor: 4.666

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Journal:  Phys Med Biol       Date:  1993-04       Impact factor: 3.609

7.  Improved techniques for measuring in vitro the geometry and pressure distribution in the human acetabulum--I. Ultrasonic measurement of acetabular surfaces, sphericity and cartilage thickness.

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Journal:  J Biomech       Date:  1981       Impact factor: 2.712

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Journal:  J Orthop Res       Date:  1983       Impact factor: 3.494

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Authors:  E M Braunstein; K D Brandt; M Albrecht
Journal:  Skeletal Radiol       Date:  1990       Impact factor: 2.199

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Authors:  V E Modest; M C Murphy; R W Mann
Journal:  J Biomech       Date:  1989       Impact factor: 2.712

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  3 in total

1.  Tissue optical properties combined with machine learning enables estimation of articular cartilage composition and functional integrity.

Authors:  Iman Kafian-Attari; Ervin Nippolainen; Dmitry Semenov; Markku Hauta-Kasari; Juha Töyräs; Isaac O Afara
Journal:  Biomed Opt Express       Date:  2020-10-19       Impact factor: 3.732

2.  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

3.  Optical spectral reflectance of human articular cartilage - relationships with tissue structure, composition and mechanical properties.

Authors:  Jussi Kinnunen; Simo Saarakkala; Markku Hauta-Kasari; Pasi Vahimaa; Jukka S Jurvelin
Journal:  Biomed Opt Express       Date:  2011-04-29       Impact factor: 3.732

  3 in total

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