3-D High-Frequency Ultrasound Improves the Estimation of Surface Properties in Degenerated Cartilage

Schöne, Martin; Männicke, Nils; Gottwald, Matthias; Göbel, F.; Raum, Kay

doi:10.1016/j.ultrasmedbio.2012.10.010

Cited by 17 publications

(18 citation statements)

References 32 publications

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“…However, the reference reflector may not be identical in different studies. For example, in some previous studies the reference signal may be collected from PBS-air interface [5], sodium chloride-silicon rubber interface [8], PBS-PMMA interface [20] or physiologic saline-steel interface [17]. Also, assumptions are usually made that the acoustic characteristics of the reference material are known and fixed, but more or less, the real acoustic characteristics of reference material deviate from what has been assumed.…”

Section: Resultsmentioning

confidence: 99%

A Novel Indicator for Quantitative Assessment of Articular Cartilage Degeneration Using Ultrasound

Zhang¹,

He²,

Hao³

et al. 2017

Proceedings of the 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)

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Abstract. 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: Resultsmentioning

confidence: 99%

A Novel Indicator for Quantitative Assessment of Articular Cartilage Degeneration Using Ultrasound

Zhang¹,

He²,

Hao³

et al. 2017

Proceedings of the 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)

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“…This work was based on the same set of measurements used in a previous study and reported in detail therein [4]. One to four punch biopsies (diameter: 8 mm) of degenerated cartilage were obtained from the femoral condyles of 19 patients, yielding 38 samples with variable degrees of degeneration.…”

Section: A Samplesmentioning

confidence: 99%

“…Cartilage samples were immersed at 25°C in PBS and measured in C-scan mode (scan increment: 20 μm in x and y direction) using the custom scanning acoustic microscope SAM200Ex [4,6]. The SAM is controlled by custom software (SAMEx, Q-BAM, Halle, Germany) and consists of a 3-axis high precision scanning stage, a 200 MHz pulser/receiver (Panametrics 5900PR, Waltham, USA) and a 500 MSs-1 A/Dcard (Gage CS8500, Gage Applied Technologies Inc., Lachine, Canada).…”

Section: Ultrasound Measurementsmentioning

confidence: 99%

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High-frequency backscatter analysis of human articular cartilage

Männicke

Schöne

Gottwald

et al. 2013

2013 IEEE International Ultrasonics Symposium (IUS)

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Abstract-46 punch biopsies of human cartilage were collected and scanned in time-resolved C-scan mode using a scanning acoustic microscope with a single-element 40-MHz transducer. From these data, spectra were estimated from short time gates at regions with low inclination and averaged with respect to their time delay to the tissue surface to account for the curved shape of articular cartilage. The depth-dependent spectral slope and amplitude profiles were used to estimate the maximum values and the depth-dependent slope. The surface reflection was excluded from analysis. In addition, the homodyned k distribution was used to model the signal amplitude of the envelope at tissue depths between 200 and 600 µm. The k and μ parameters were estimated from the envelope data. KruskalWallis analyses of variance were carried out for the acoustic parameters with respect to subscores of the Mankin grading system that are related to cellular and structural abnormalities of the cartilage matrix. The grading was performed on 2D histological cross sections. Additionally the cell number density was assessed.Moderate positive correlations between cell number and backscatter amplitude (R 2 =0.43) were observed. The backscatter amplitude parameters as well as k were not statistically significantly different with respect to degenerative changes, whereas µ was significantly lower for advanced stages of degeneration. The spectral slope and the extrapolation to the surface of the spectral slope were significantly higher for samples without signs of degeneration. The highest significance levels and chi² values were obtained for the maximum spectral slope value within the superficial zone of cartilage.The results suggest that amplitude based parameters alone are insufficient to discriminate different stages of spontaneous degeneration and that in contrast, spectral slope as well as envelope statistics are sensitive to osteoarthritic changes. Due to the correlation of backscatter amplitude and cell number, differences of the spectral slopes are likely due to cellular degenerations.

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“…Recently, we have shown that 3D-UBM not only enables improved estimation of surface properties 5 , but also gives access to US backscatter parameters of the cartilage matrix 6 , whose analyses have been only sparsely carried out until now. Statistically significant differences of individual surface and backscatter parameters were found with respect to early structural and cellular degenerations, as assessed by the histologically derived Mankin subset score.…”

Section: Introductionmentioning

confidence: 99%

Articular cartilage degeneration classification by means of high-frequency ultrasound

Männicke

Schöne

Oelze

et al. 2014

Osteoarthritis and Cartilage

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Our results strongly suggest that combinations of high-frequency ultrasound-based parameters exhibit potential to characterize different, particularly very early, degeneration stages of hyaline cartilage. Variable sensitivities towards different degeneration stages suggest that a concurrent estimation of multiple ultrasound-based parameters is diagnostically valuable. In-vivo application of the present findings is conceivable in both minimally invasive arthroscopic ultrasound and high-frequency transcutaneous ultrasound.

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3-D High-Frequency Ultrasound Improves the Estimation of Surface Properties in Degenerated Cartilage

Cited by 17 publications

References 32 publications

A Novel Indicator for Quantitative Assessment of Articular Cartilage Degeneration Using Ultrasound

A Novel Indicator for Quantitative Assessment of Articular Cartilage Degeneration Using Ultrasound

High-frequency backscatter analysis of human articular cartilage

Articular cartilage degeneration classification by means of high-frequency ultrasound

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