Literature DB >> 19138384

More intrinsic parameters should be used in assessing degeneration of articular cartilage with quantitative ultrasound.

Yong-Ping Zheng, Yan-Ping Huang.   

Abstract

During the last decade, the quantitative ultrasound technique has been widely employed as a versatile modality to investigate a thin but crucial tissue layer--the articular cartilage. Previous studies provide information about the morphology and mechanical and acoustic properties of the tissue derived from ultrasound measurements and correlate them with cartilage degeneration. In a previous issue of Arthritis Research & Therapy, Kuroki and colleagues presented a study about the relationship between International Cartilage Repair Society grading and ultrasound echo magnitude, duration, and interval in human knee cartilage. We think indirect measurements of the intrinsic physical characteristics of cartilage, as reported in this study, should be interpreted more carefully as they can be affected by many experimental and physical factors. In this editorial, we offer our opinion that more intrinsic material parameters should be selected for the assessment of degeneration states of cartilage using quantitative ultrasound.

Entities:  

Mesh:

Year:  2008        PMID: 19138384      PMCID: PMC2656244          DOI: 10.1186/ar2566

Source DB:  PubMed          Journal:  Arthritis Res Ther        ISSN: 1478-6354            Impact factor:   5.156


It has been widely reported that the early degeneration of articular cartilage involves the loss of proteoglycan and damage of collagen matrix integrity, which together may lead to tissue softening, swelling, thickness changing and roughening of the cartilage surface. During the last decade, researchers have made many efforts to correlate these changes reflected by mechanical, acoustical, and morphological parameters of cartilage with its degeneration levels using ultrasound and other techniques. In comparison with conventional ultrasonography for imaging joints, quantitative ultrasound measurements using higher frequencies not only achieve better resolution for thickness and surface roughness but also provide acoustic and mechanical parameters of articular cartilage for early diagnosis of degeneration. Since quantitative ultrasound probes are normally designed to use with arthroscopy, it is able to access any location of a joint with a cost of being minimally invasive. In this editorial, we limited our discussion specifically to quantitative ultrasound measurement in relation to the work reported by Kuroki and colleagues [1] in a previous issue of Arthritis Research & Therapy. For details of conventional noninvasive ultrasonography for osteoarthritis evaluation, readers may refer to recent review articles [2-4]. It is encouraging to see the development of quantitative ultrasound techniques from laboratory to clinical use for the assessment of articular cartilage degeneration. In their recent study, Kuroki and colleagues [1] investigated the correlations between International Cartilage Repair Society (ICRS) grading and ultrasound signal intensity, echo duration, and interval between signals. It was reported that 'signal intensity of grade 0 cartilage was significantly greater than those of grade 1, grade 2, or grade 3 cartilage'. The result appears to suggest that 'signal intensity' alone could potentially be used to differentiate normal cartilage from that with degeneration provided that signal intensity information of the normal state is available. In our opinion, such potentials should be considered carefully, taking into account the ultrasound measurement system and the intrinsic physical properties of the tissue. The 'signal intensity, echo duration, and interval between signals' derived from the reflected ultrasound echoes using wavelet or other methods are not intrinsic mechanical properties and can be affected by different factors [5,6]. In physics, the 'signal intensity' relates to the tissue reflection coefficient, impedance, elastic modulus, and surface conditions, not simply 'a measure of superficial cartilage integrity' as defined by the authors [1]. The 'echo duration' relates to frequency-dependent attenuation, surface roughness, and curvature. The 'interval between signals' relates to both tissue thickness and speed of sound. Furthermore, with respect to a specific ultrasound system setup (including the parameters used for pulser/receiver and focusing of transducer), signal intensity is also sensitive to the distance between the transducer and tissue, orientation of the transducer (incidence angle of ultrasound beam), and curvature of the tissue surface besides the tissue state. The echo duration can be affected by the characteristics of ultrasound transducer, such as its frequency response and beam width, and those of pulser/receiver, such as pulse duration, filter setting, and damping. Therefore, unless all affecting factors can be controlled and standardized, even a significant correlation between ultrasonic parameters and clinical grades obtained by a specific device might provide limited information. Furthermore, this study used 'interval between signals' to correlate with ICRS grades, making the result difficult to interpret because the speed of sound and the thickness both can contribute to the change of the interval. Although the authors did discuss the effect of swelling on the speed of sound, they neglected to address the fact that thickness could also be affected during swelling. If these intrinsic physical properties are reported, comparison of results from different specimens, species, devices, and investigative approaches would become more feasible and meaningful. The making of assumptions, which are used as the basis for obtaining the intrinsic physical properties, is inevitable. Knowing what assumptions were made helps researchers to anticipate or know what possible factors may affect the results. This in turn will promote better understanding of the assumptions and factors involved, which leads to the development of new approaches. Instead of using 'signal intensity', a number of papers have reported the use of ultrasound reflection coefficient [7], integrated reflection coefficient [8], and echo frequency spectrum [9] to assess cartilage degeneration. To provide a better thickness measurement using ultrasound, researchers have made efforts to investigate the depth dependency of speed of sound [10] and techniques for measuring speed of sound in situ [11]. To quantify the surface roughness directly, a new method using ultrasound scanning has been proposed [12]. Ultrasound has been used along with mechanical disturbance methods, such as indentation [7,13], water jet indentation [14], compression [15], or osmosis loading [16], to measure more intrinsic mechanical properties and their depth dependency. Some of these techniques may not yet be ready for clinical trials, but they can provide valuable fundamental information to drive development forward, with the ultimate aim of providing reliable clinical tools for early diagnosis of osteoarthritis. Readers may refer to Wang and colleagues [17] for a more comprehensive list of related references. In summary, while quantitative ultrasound has demonstrated promising potential in assessing cartilage degeneration, an understanding of its physical principles and limitations is necessary. We suggest that engineers in the field aim to develop new techniques to obtain intrinsic physical parameters of cartilage. We also hope that clinicians in the field (or through collaboration with their engineer colleagues) fully understand the physical principles of the measurement and what the obtained parameters physically represent before trying to interpret the data and look for correlations. The success of quantitative ultrasound for bone mineral density assessment should be attributed in part to its direct measurement of intrinsic physical parameters, including speed of sound and attenuation [18], which made cross-center comparison and instrumentation standardization possible. We believe only quantitative ultrasound assessment using more intrinsic physical parameters can lead to reliable clinical devices for early evaluation of osteoarthritis. Finally, we commend Kuroki and colleagues for demonstrating to us the use of a miniaturized probe with simplified data interpretation for clinical trials. No doubt, advancement based on this work will ensue.

Abbreviations

ICRS: International Cartilage Repair Society.

Competing interests

The first author holds 3 patents that can be potentially used for the assessment of articular cartilage: 1. Zheng YP and Choi APC. Measurement of modulus and Poisson's ratio simultaneously from indentation. US Provisional Patent Application. No. 60/580,679. Chinese patent filed. 200610077789.6. Apr 2006. 2. Mak AFT and Zheng YP, Portable ultrasound palpation device. US Patent issued, No. 6494840, Dec 2002. 3. Zheng YP and Lu MH, Noncontact measurement of material properties. US patent issued. No. 7124636. Oct 24 2006
  18 in total

1.  Quantitative information from ultrasound evaluation of articular cartilage should be interpreted with care.

Authors:  Simo Saarakkala; Jukka S Jurvelin; Yong-Ping Zheng; Heikki J Nieminen; Juha Töyräs
Journal:  Arthroscopy       Date:  2007-10       Impact factor: 4.772

2.  Ultrasound assessment of articular cartilage: analysis of the frequency profile of reflected signals from naturally and artificially degraded samples.

Authors:  Cameron P Brown; Stephen W Hughes; Ross W Crawford; Adekunle Oloyede
Journal:  Connect Tissue Res       Date:  2007       Impact factor: 3.417

Review 3.  Ultrasonography in osteoarthritis: recent advances and prospects for the future.

Authors:  Jeannie Chao; Kenneth Kalunian
Journal:  Curr Opin Rheumatol       Date:  2008-09       Impact factor: 5.006

4.  Evaluation of acoustical parameter sensitivity to age-related and osteoarthritic changes in articular cartilage using 50-MHz ultrasound.

Authors:  E Chérin; A Saïed; P Laugier; P Netter; G Berger
Journal:  Ultrasound Med Biol       Date:  1998-03       Impact factor: 2.998

Review 5.  Ultrasound in the study and monitoring of osteoarthritis.

Authors:  I Möller; D Bong; E Naredo; E Filippucci; I Carrasco; C Moragues; A Iagnocco
Journal:  Osteoarthritis Cartilage       Date:  2008-08-29       Impact factor: 6.576

6.  An ultrasound indentation system for biomechanical properties assessment of soft tissues in-vivo.

Authors:  Y P Zheng; A F Mak
Journal:  IEEE Trans Biomed Eng       Date:  1996-09       Impact factor: 4.538

7.  Real-time ultrasonic assessment of progressive proteoglycan depletion in articular cartilage.

Authors:  Qing Wang; Yong-Ping Zheng; Ling Qin; Qing-Hua Huang; Wai-Ling Lam; Gina Leung; Xia Guo; Hong-Bin Lu
Journal:  Ultrasound Med Biol       Date:  2008-03-04       Impact factor: 2.998

8.  Altered osmotic swelling behavior of proteoglycan-depleted bovine articular cartilage using high frequency ultrasound.

Authors:  Q Wang; Y P Zheng; G Leung; W L Lam; X Guo; H B Lu; L Qin; A F T Mak
Journal:  Phys Med Biol       Date:  2008-04-18       Impact factor: 3.609

9.  In-vitro comparison of time-domain, frequency-domain and wavelet ultrasound parameters in diagnostics of cartilage degeneration.

Authors:  E Kaleva; S Saarakkala; J Töyräs; H J Nieminen; J S Jurvelin
Journal:  Ultrasound Med Biol       Date:  2007-09-27       Impact factor: 2.998

10.  Ultrasound properties of articular cartilage in the tibio-femoral joint in knee osteoarthritis: relation to clinical assessment (International Cartilage Repair Society grade).

Authors:  Hiroshi Kuroki; Yasuaki Nakagawa; Koji Mori; Masahiko Kobayashi; Ko Yasura; Yukihiro Okamoto; Takashi Suzuki; Kohei Nishitani; Takashi Nakamura
Journal:  Arthritis Res Ther       Date:  2008-07-13       Impact factor: 5.156

View more
  4 in total

1.  Intravascular Ultrasound (IVUS): A Potential Arthroscopic Tool for Quantitative Assessment of Articular Cartilage.

Authors:  Yan-Ping Huang; Yong-Ping Zheng
Journal:  Open Biomed Eng J       Date:  2009-06-26

2.  Ultrasound has the potential to detect degeneration of articular cartilage clinically, even if the information is obtained from an indirect measurement of intrinsic physical characteristics.

Authors:  Hiroshi Kuroki; Yasuaki Nakagawa; Koji Mori; Masahiko Kobayashi; Ko Yasura; Yukihiro Okamoto; Takashi Suzuki; Kohei Nishitani; Takashi Nakamura
Journal:  Arthritis Res Ther       Date:  2009       Impact factor: 5.156

3.  Mechanical effects of surgical procedures on osteochondral grafts elucidated by osmotic loading and real-time ultrasound.

Authors:  Koji Hattori; Kota Uematsu; Tomohiro Matsumoto; Hajime Ohgushi
Journal:  Arthritis Res Ther       Date:  2009-09-02       Impact factor: 5.156

4.  Ultrasound can detect macroscopically undetectable changes in osteoarthritis reflecting the superficial histological and biochemical degeneration: ex vivo study of rabbit and human cartilage.

Authors:  Kohei Nishitani; Masahiko Kobayashi; Hiroshi Kuroki; Koji Mori; Takaaki Shirai; Tsuyoshi Satake; Shinnichiro Nakamura; Ryuzo Arai; Yasuaki Nakagawa; Takashi Nakamura; Shuichi Matsuda
Journal:  PLoS One       Date:  2014-02-21       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.