Ultrasonic characterization of in vitro osteoarthritic articular cartilage with validation by confocal microscopy

Chiang, Edward H.; Laing, Timothy; Meyer, Charles R.; Boes, Jennifer L.; Rubin, Jonathan M.; Adler, Ronald S.

doi:10.1016/s0301-5629(96)00189-5

Cited by 47 publications

(24 citation statements)

References 7 publications

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“…Besides of the capability to measure the mechanical properties of cartilage, recent studies have reported that ultrasound can also be used for characterizing cartilage structural properties such as surface roughness or fibrillation and PG depletion. 2,[19][20][21][22]24,31,54,66 If a probe can measure mechanical properties, acoustic properties, and thickness data for articular cartilage simultaneously, 38 it will be beneficial for the diagnosis of cartilage degeneration.…”

Section: Introductionmentioning

confidence: 99%

Noncontact Evaluation of Articular Cartilage Degeneration Using a Novel Ultrasound Water Jet Indentation System

Zheng

Huang

et al. 2008

Ann Biomed Eng

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Assessment of articular cartilage degeneration induced by degenerative diseases using quantitative ultrasound method is promising but challenging. Currently, in literature, proposed methods have limited diagnostic abilities, and some quantitative ultrasound cartilage evaluation results are inconsistent or hard to compare with each other. Thus it is desirable to find a parameter which is easier to compare and can sensitively reflect changes due to cartilage degeneration. In the present study, a new parameter "averaged magnitude ratio" (AMR) was defined as an indicator to detect articular cartilage degeneration. In vitro experiments were conducted on 12 cartilage-bone samples from porcine knee joints. Six of the samples were digested using 0.25% trypsin solution. Ultrasound V (z, t) signal was collected from the samples using a broadband ultrasound transducer with center frequency of 15MHz. Integrated reflection coefficient (IRC), apparent integrated backscattering coefficient (AIB) and AMR were computed from ultrasound signal. Young's modulus of the samples was measured using atomic force microscopy (AFM). With Mann-Whitney U test, statistically significant decrease in IRC and increase in AMR were observed after digestion. With Pearson's correlation analysis, Young's modulus was significantly correlated with AMR, IRC, and AIB. Our results demonstrate that AMR is sensitive to enzymatically induced cartilage changes. AMR is easier to compute, needs no reference material and can achieve equivalent or even better performance than IRC and AIB in detecting cartilage degeneration.

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Section: Introductionmentioning

confidence: 99%

Noncontact Evaluation of Articular Cartilage Degeneration Using a Novel Ultrasound Water Jet Indentation System

Zheng

Huang

et al. 2008

Ann Biomed Eng

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“…Firstly, they involve the superficial cartilaginous margin and correspond to the micro-cleft formation due to tissue deterioration [49]. Later, changes in the echotexture appear, with evidence of loss of homogeneity and transparency [22,[49][50][51][52][53]. With disease progression, focal and asymmetric narrowing is usually present; subsequently, diffuse thinning is charted, up to the complete absence of the cartilaginous layer that corresponds to cartilage breakdown and bony denudation [54][55][56][57].…”

Section: Us Of the Osteoarthritic Jointmentioning

confidence: 99%

Imaging the joint in osteoarthritis: a place for ultrasound?

Iagnocco

2010

Best Practice & Research Clinical Rheumatology

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Ultrasound (US) is a valuable tool for imaging musculoskeletal changes in osteoarthritis. It shows early and late findings related to inflammation and structural damage. Sonography is a safe tool, which has recently registered an increasing and widespread use, it being considered as a bedside procedure in the clinical assessment of rheumatic patients. Its applications in osteoarthritis are related to easy accessibility of equipment, low cost, short duration of single examinations and the possibility of performing a multiregional joint evaluation in the same scanning session. Permitting an extensive evaluation of most joint changes present in osteoarthritis, it gives the opportunity to monitor disease progression and perform a follow-up of the response to different local and systemic treatments. US-guided procedures are commonly performed with safety, reliability and optimal patient tolerance. Development in technology and technique with improvement of new research studies will further amplify the diagnostic role of ultrasound in osteoarthritis in the near future. (C) 2009 Elsevier Ltd. All rights reserved

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“…It has been experimentally revealed that increase in the roughness of the surface [11]- [13], [15], [16] and decrease in the collagen content [17] and density of the cartilage diminish the ultrasound reflection from the surface of the cartilage. In oa, all these factors are concurrent, and thus, evaluating the effects of changes in any individual factor is experimentally difficult.…”

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confidence: 99%

2-D finite difference time domain model of ultrasound reflection from normal and osteoarthritic human articular cartilage surface

Kaleva

Liukkonen

Töyräs

et al. 2010

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Quantitative high-frequency ultrasonic evaluation of articular cartilage has shown a potential for the diagnosis of osteoarthritis, where the roughness of the surface, collagen and proteoglycan contents, and the density and mechanical properties of cartilage change concurrently. Experimentally, these factors are difficult to investigate individually and thus a numerical model is needed. The present study is the first one to use finite difference time domain modeling of pulse-echo measurements of articular cartilage. Ultrasound reflection from the surface was investigated with varying surface roughness, material parameters (Young's modulus, density, longitudinal, and transversal velocities) and inclination of the samples. The 2-D simulation results were compared with the results from experimental measurements of the same samples in an identical geometry. Both the roughness and the material parameters contributed significantly to the ultrasound reflection. The angular dependence of the ultrasound reflection was strong for a smooth cartilage surface but disappeared for the samples with a rougher surface. These results support the findings of previous experimental studies and indicate that ultrasound detects changes in the cartilage that are characteristic of osteoarthritis. In the present study there are differences between the results of the simulations and the experimental measurements. However, the systematic patterns in the experimental behavior are correctly reproduced by the model. In the future, our goal is to develop more realistic acoustic models incorporating inhomogeneity and anisotropy of the cartilage.

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Ultrasonic characterization of in vitro osteoarthritic articular cartilage with validation by confocal microscopy

Cited by 47 publications

References 7 publications

Noncontact Evaluation of Articular Cartilage Degeneration Using a Novel Ultrasound Water Jet Indentation System

Noncontact Evaluation of Articular Cartilage Degeneration Using a Novel Ultrasound Water Jet Indentation System

Imaging the joint in osteoarthritis: a place for ultrasound?

2-D finite difference time domain model of ultrasound reflection from normal and osteoarthritic human articular cartilage surface

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