On the ultrasonic properties of tendon.
Abstract: The strong dependence of tendon echogenicity on insonation angle is explored by analyzing echo spectra. Combining echo spectra with high-resolution images from several modalities reveals that fluid spaces surrounding fascicles and bundles are likely sources of ultrasonic scatter. Mathematical models of tendon structure are proposed to explain how the anisotropic microstructure of tendon gives rise to angle-dependent echogenicity. Echo spectra from spontaneously damaged equine tendon samples were compared with normal equine tendon and found to exhibit a dramatic decrease in anisotropic properties that appears to be related to the spatial organization and type of collagen generated during repair. Variation in echo spectra with insonation angle is a robust indicator of mechanical damage.
Publication Date: 2003-12-31 PubMed ID: 14698346DOI: 10.1016/s0301-5629(03)01069-xGoogle Scholar: Lookup
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- Journal Article
- Research Support
- Non-U.S. Gov't
Summary
This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.
The research primarily focuses on the analysis of the dependence of tendon echo characteristics on the angle of ultrasonic exposure, and via echo spectra, explores how fluid spaces around tendon structures contribute to ultrasonic scatter. It also proposes mathematical models for the structural anatomy of tendons to better understand the anisotropic behavior of tendons against ultrasound. The research further highlights the marked difference in echo spectra from normal and damaged tendons, indicating that these variations may signify mechanical damage.
Tendon Ultrasonic Properties
- Initial exploration involves understanding the strong reliance of tendon echogenicity on the insonation angle, which is a measure of how ultrasound waves travel through a medium. Echo spectra, patterns formed by reflected waves, are used in this process.
- This research spotlights the fundamental role of fluid spaces – the regions surrounding tendon fascicles and bundles, in contributing to ultrasonic scatter, a phenomena defining how ultrasound waves are dispersed or spread in different directions.
Mathematical Models to Explain Anisotropy
- A significant part of the study includes the presentation of mathematical models which attempt to describe the complex, anisotropic microstructure of tendons. Anisotropy refers to properties that are directionally dependent. In this case, the response of tendons to ultrasound.
- These models are aimed to interpret how the angle-dependent echogenicity arises in tendons, owing to their anisotropic microstructure.
Insight from Damaged Tendons
- The study further extends its attention to echo spectra acquired from damaged equine tendons and compares it with those of healthy ones. The key discovery here is the significant difference in the anisotropic properties between the two.
- The decrease in anisotropic properties in damaged tendons seems to relate to the spatial arrangement and type of collagen produced during the repair process. This signals that the condition of the tendon might be impacting its interaction with ultrasound.
Ultrasound as an Indicator of Damage
- Lastly, the variation in echo spectra with insonation angle is asserted as a robust indicator of mechanical damage to tendons. This implies that ultrasound technology could be potentially leveraged in damage assessment and diagnostics of tendon health.
Cite This Article
APA
Garcia T, Hornof WJ, Insana MF.
(2003).
On the ultrasonic properties of tendon.
Ultrasound Med Biol, 29(12), 1787-1797.
https://doi.org/10.1016/s0301-5629(03)01069-x Publication
Researcher Affiliations
- Department of Surgical and Radiological Sciences; University of California, Davis, CA 95616, USA.
MeSH Terms
- Anisotropy
- Collagen
- Humans
- Image Interpretation, Computer-Assisted
- Least-Squares Analysis
- Tendons / diagnostic imaging
- Ultrasonography
Citations
This article has been cited 9 times.- Riggin CN, Weiss SN, Rodriguez AB, Raja H, Chen M, Schultz SM, Sehgal CM, Soslowsky LJ. Increasing Vascular Response to Injury Improves Tendon Early Healing Outcome in Aged Rats.. Ann Biomed Eng 2022 May;50(5):587-600.
- Riggin CN, Rodriguez AB, Weiss SN, Raja HA, Chen M, Schultz SM, Sehgal CM, Soslowsky LJ. Modulation of vascular response after injury in the rat Achilles tendon alters healing capacity.. J Orthop Res 2021 Sep;39(9):2000-2016.
- Frisch KE, Marcu D, Baer GS, Thelen DG, Vanderby R. Influence of tendon tears on ultrasound echo intensity in response to loading.. J Biomech 2014 Dec 18;47(16):3813-9.
- Suydam SM, Buchanan TS. Is echogenicity a viable metric for evaluating tendon properties in vivo?. J Biomech 2014 Jun 3;47(8):1806-9.
- Huang SW, Wang WT. Quantitative diagnostic method for biceps long head tendinitis by using ultrasound.. ScientificWorldJournal 2013;2013:948323.
- Riggin CN, Sarver JJ, Freedman BR, Thomas SJ, Soslowsky LJ. Analysis of collagen organization in mouse achilles tendon using high-frequency ultrasound imaging.. J Biomech Eng 2014 Feb;136(2):021029.
- Reusch LM, Feltovich H, Carlson LC, Hall G, Campagnola PJ, Eliceiri KW, Hall TJ. Nonlinear optical microscopy and ultrasound imaging of human cervical structure.. J Biomed Opt 2013 Mar;18(3):031110.
- Shen ZL, Li ZM. Ultrasound assessment of transverse carpal ligament thickness: a validity and reliability study.. Ultrasound Med Biol 2012 Jun;38(6):982-8.
- Blankstein A. Ultrasound in the diagnosis of clinical orthopedics: The orthopedic stethoscope.. World J Orthop 2011 Feb 18;2(2):13-24.
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