Literature DB >> 19864702

Quantification of the optical surface reflection and surface roughness of articular cartilage using optical coherence tomography.

Simo Saarakkala1, Shu-Zhe Wang, Yan-Ping Huang, Yong-Ping Zheng.   

Abstract

Optical coherence tomography (OCT) is a promising new technique for characterizing the structural changes of articular cartilage in osteoarthritis (OA). The calculation of quantitative parameters from the OCT signal is an important step to develop OCT as an effective diagnostic technique. In this study, two novel parameters for the quantification of optical surface reflection and surface roughness from OCT measurements are introduced: optical surface reflection coefficient (ORC), describing the amount of a ratio of the optical reflection from cartilage surface with respect to that from a reference material, and OCT roughness index (ORI) indicating the smoothness of the cartilage surface. The sensitivity of ORC and ORI to detect changes in bovine articular cartilage samples after enzymatic degradations of collagen and proteoglycans using collagenase and trypsin enzymes, respectively, was tested in vitro. A significant decrease (p < 0.001) in ORC as well as a significant increase (p < 0.001) in ORI was observed after collagenase digestion. After trypsin digestion, no significant changes in ORC or ORI were observed. To conclude, the new parameters introduced were demonstrated to be feasible and sensitive to detect typical OA-like degenerative changes in the collagen network. From the clinical point of view, the quantification of OCT measurements is of great interest since OCT probes have been already miniaturized and applied in patient studies during arthroscopy or open knee surgery in vivo. Further studies are still necessary to demonstrate the clinical capability of the introduced parameters for naturally occurring early OA changes in the cartilage.

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Year:  2009        PMID: 19864702     DOI: 10.1088/0031-9155/54/22/006

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  15 in total

1.  Nondestructive evaluation of tissue engineered articular cartilage using time-resolved fluorescence spectroscopy and ultrasound backscatter microscopy.

Authors:  Yang Sun; Donald Responte; Hongtao Xie; Jing Liu; Hussain Fatakdawala; Jerry Hu; Kyriacos A Athanasiou; Laura Marcu
Journal:  Tissue Eng Part C Methods       Date:  2012-01-26       Impact factor: 3.056

2.  Quantitative OCT and MRI biomarkers for the differentiation of cartilage degeneration.

Authors:  Sven Nebelung; Nicolai Brill; Markus Tingart; Thomas Pufe; Christiane Kuhl; Holger Jahr; Daniel Truhn
Journal:  Skeletal Radiol       Date:  2016-01-19       Impact factor: 2.199

3.  Optical coherence tomography-based parameterization and quantification of articular cartilage surface integrity.

Authors:  Nicolai Brill; Jörn Riedel; Björn Rath; Markus Tingart; Holger Jahr; Marcel Betsch; Valentin Quack; Thomas Pufe; Robert Schmitt; Sven Nebelung
Journal:  Biomed Opt Express       Date:  2015-06-08       Impact factor: 3.732

4.  Arthroscopic optical coherence tomography in diagnosis of early arthritis.

Authors:  Michael J O'Malley; Constance R Chu
Journal:  Minim Invasive Surg       Date:  2011-04-03

5.  Comparison of optical coherence tomography and histopathology in quantitative assessment of goat talus articular cartilage.

Authors:  Paul Cernohorsky; Aimee C Kok; Daniel Martijn de Bruin; Martin J Brandt; Dirk J Faber; Gabrielle J Tuijthof; Gino M Kerkhoffs; Simon D Strackee; Ton G van Leeuwen
Journal:  Acta Orthop       Date:  2014-10-28       Impact factor: 3.717

Review 6.  Detecting early stage osteoarthritis by optical coherence tomography?

Authors:  Holger Jahr; Nicolai Brill; Sven Nebelung
Journal:  Biomarkers       Date:  2016-02-10       Impact factor: 2.658

7.  Combination of optical coherence tomography and near infrared spectroscopy enhances determination of articular cartilage composition and structure.

Authors:  Jaakko K Sarin; Lassi Rieppo; Harold Brommer; Isaac O Afara; Simo Saarakkala; Juha Töyräs
Journal:  Sci Rep       Date:  2017-09-06       Impact factor: 4.379

8.  Miniaturized Water-Jet Ultrasound Indentation System for Quantitative Assessment of Articular Cartilage Degeneration: A Validation Study.

Authors:  Yan-Ping Huang; Yong-Ping Zheng
Journal:  Biomed Res Int       Date:  2020-07-15       Impact factor: 3.411

9.  Evaluation of Single-Impact-Induced Cartilage Degeneration by Optical Coherence Tomography.

Authors:  Florence de Bont; Nicolai Brill; Robert Schmitt; Markus Tingart; Björn Rath; Thomas Pufe; Holger Jahr; Sven Nebelung
Journal:  Biomed Res Int       Date:  2015-07-01       Impact factor: 3.411

10.  High-Resolution Methods for Diagnosing Cartilage Damage In Vivo.

Authors:  Kira D Novakofski; Sarah L Pownder; Matthew F Koff; Rebecca M Williams; Hollis G Potter; Lisa A Fortier
Journal:  Cartilage       Date:  2016-01       Impact factor: 4.634

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