Cartilage morphology assessed by high resolution micro-computed tomography in non OA knees

Delecourt, C.; Relier, M.; Touraine, Sébastien; Bouhadoun, Hamid; Engelke, Klaus; Laredo, Jean‐Denis; Chappard, Christine

doi:10.1016/j.joca.2015.10.009

Cited by 16 publications

(14 citation statements)

References 22 publications

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“…Regarding cartilage thickness measurement, this method has initially been applied to small animal studies [25], [26]. An application for human cartilage morphology assessment can be found in a recent study by Delecourt et al [27].…”

Section: Related Workmentioning

confidence: 99%

Comparison of Different Approaches for Measuring Tibial Cartilage Thickness

Maier

Black

Bonaretti

et al. 2017

Journal of Integrative Bioinformatics

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Abstract:Osteoarthritis is a degenerative disease affecting bones and cartilage especially in the human knee. In this context, cartilage thickness is an indicator for knee cartilage health. Thickness measurements are performed on medical images acquired in-vivo. Currently, there is no standard method agreed upon that defines a distance measure in articular cartilage. In this work, we present a comparison of different methods commonly used in literature. These methods are based on nearest neighbors, surface normal vectors, local thickness and potential field lines. All approaches were applied to manual segmentations of tibia and lateral and medial tibial cartilage performed by experienced raters. The underlying data were contrast agent-enhanced cone-beam C-arm CT reconstructions of one healthy subject's knee. The subject was scanned three times, once in supine position and two times in a standing weight-bearing position. A comparison of the resulting thickness maps shows similar distributions and high correlation coefficients between the approaches above 0.90. The nearest neighbor method results on average in the lowest cartilage thickness values, while the local thickness approach assigns the highest values. We showed that the different methods agree in their thickness distribution. The results will be used for a future evaluation of cartilage change under weight-bearing conditions.

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Section: Related Workmentioning

confidence: 99%

Comparison of Different Approaches for Measuring Tibial Cartilage Thickness

Maier

Black

Bonaretti

et al. 2017

Journal of Integrative Bioinformatics

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“…[18] Cartilage measurements from micro-CT may improve the knowledge in the relationship between cartilage and SCB and may lead to better understanding of the OA process.…”

Section: Discussionmentioning

confidence: 99%

Is there crosstalk between subchondral bone, cartilage, and meniscus in the pathogenesis of osteoarthritis?

Atik

Erdoğan

Seymen

et al. 2016

Eklem Hastalik Cerrahisi

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“…The modified Outerbridge classification was used to assess the grade of cartilage degradation: grade 0, normal cartilage; grade 1, cartilage softening and swelling; grade 2, mild surface fibrillation and/or loss of cartilage less than 50% of the cartilage thickness; grade 3, severe surface fibrillation and/or loss of more than 50% of the cartilage thickness; and grade 4, complete loss of cartilage with subchondral bone exposure 25. The meniscal classification has been previously described 26. Briefly, it is as follows: Gr1, normal intact menisci attached with sharp inner borders; Gr2, fraying at inner borders, surface fibrillation, and no tears; Gr 3, partial substance tears, fraying, and fibrillations; Gr4, complete substance tear and loss of tissue.…”

Section: Methodsmentioning

confidence: 99%

Three‐dimensional mapping of the joint space for the diagnosis of knee osteoarthritis based on high resolution computed tomography: Comparison with radiographic, outerbridge, and meniscal classifications

Mezlini-Gharsallah

Youssef

et al. 2018

Journal Orthopaedic Research

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One of the most important characteristic of knee osteoarthritis (OA) is the joint space (JS) width narrowing. Measurements are usually performed on two dimensional (2D) X‐rays. We propose and validate a new method to assess the 3D joint space at the medial knee compartment using high resolution peripheral computed tomography images. A semi‐automated method was developed to obtain a distance 3D map between femur an tibia with the following parameters: volume, minimum, maximum, mean, standard deviation, median, asymmetry, and entropy. We analyzed 71 knee specimens (mean age: 85 years), radiographs were performed for the Kellgren Lawrence (KL) score grading. In a subgroup of 41 specimens, the histopathological Outerbridge and meniscal classifications were performed and then cores were harvested from the tibial plateau in three different positions (posterior, central, and peripheral) and imaged at 10 µm of resolution to measure the cartilage thickness. Minimum, maximum, mean, and median were statistically lower and entropy higher between knee specimens classified as KL = 0 and KL = 3–4. Gr1 and 2 were statistically different from Gr3‐4 for minimum, asymmetry, entropy using the Outerbridge classification and Gr1 was statistically different from Gr3–4 using the meniscal classification. Asymmetry, minimum, mean, median and entropy were significantly correlated with cartilage thickness. Parameters extracted from a 3D map of the medial joint space indicate local variations of JS and are related to local measurements of tibial cartilage thickness, and could be consequently useful to identify early OA. © 2018 The Authors. Journal of Orthopaedic Research® Published by Wiley Periodicals, Inc. on behalf of Orthopaedic Research Society. J Orthop Res 36:2380–2391, 2018.

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Cartilage morphology assessed by high resolution micro-computed tomography in non OA knees

Cited by 16 publications

References 22 publications

Comparison of Different Approaches for Measuring Tibial Cartilage Thickness

Comparison of Different Approaches for Measuring Tibial Cartilage Thickness

Is there crosstalk between subchondral bone, cartilage, and meniscus in the pathogenesis of osteoarthritis?

Three‐dimensional mapping of the joint space for the diagnosis of knee osteoarthritis based on high resolution computed tomography: Comparison with radiographic, outerbridge, and meniscal classifications

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