scholarly journals CECT study on permeability of nonionic contrast agent in human osteoarthritis articular cartilage — Associations to matrix composition and integrity

2014 ◽  
Vol 2 (4) ◽  
pp. 245
Author(s):  
X.L. Yuan ◽  
H.Y. Meng ◽  
Y.C. Wang ◽  
J. Peng ◽  
Q.Y. Guo ◽  
...  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Petri Paakkari ◽  
Satu I. Inkinen ◽  
Miitu K. M. Honkanen ◽  
Mithilesh Prakash ◽  
Rubina Shaikh ◽  
...  

AbstractPhoton-counting detector computed tomography (PCD-CT) is a modern spectral imaging technique utilizing photon-counting detectors (PCDs). PCDs detect individual photons and classify them into fixed energy bins, thus enabling energy selective imaging, contrary to energy integrating detectors that detects and sums the total energy from all photons during acquisition. The structure and composition of the articular cartilage cannot be detected with native CT imaging but can be assessed using contrast-enhancement. Spectral imaging allows simultaneous decomposition of multiple contrast agents, which can be used to target and highlight discrete cartilage properties. Here we report, for the first time, the use of PCD-CT to quantify a cationic iodinated CA4+ (targeting proteoglycans) and a non-ionic gadolinium-based gadoteridol (reflecting water content) contrast agents inside human osteochondral tissue (n = 53). We performed PCD-CT scanning at diffusion equilibrium and compared the results against reference data of biomechanical and optical density measurements, and Mankin scoring. PCD-CT enables simultaneous quantification of the two contrast agent concentrations inside cartilage and the results correlate with the structural and functional reference parameters. With improved soft tissue contrast and assessment of proteoglycan and water contents, PCD-CT with the dual contrast agent method is of potential use for the detection and monitoring of osteoarthritis.


1985 ◽  
Vol 5 (2) ◽  
pp. 250-258 ◽  
Author(s):  
Edward W. Gertz ◽  
Judith A. Wisneski ◽  
David Chiu ◽  
John R. Akin ◽  
Charlotte Hu

1982 ◽  
Vol 17 (4) ◽  
pp. S13
Author(s):  
M A Bettmann ◽  
P D Bourdillon ◽  
S McCracken ◽  
L Bjork ◽  
P A Poole-Wilson

Author(s):  
Andrew E. Anderson ◽  
Benjamin J. Ellis ◽  
Christopher L. Peters ◽  
Jeffrey A. Weiss

Segmentation of medical image data is often used for the construction of computational models to study the mechanics of diarthrodial joints such as the hip and knee. The analyst must demonstrate that the reconstructed geometry is an accurate representation of the true continuum to ensure model validity. This becomes especially important for computational modeling of joint contact, which requires accurate reconstruction of articular cartilage. Although volumetric computed tomography (CT) is often used to image diarthrodial joints, the lower bounds for detecting articular cartilage thickness and the influence of imaging parameters on the ability to image cartilage have not been reported. The use of contrast agent (CT arthrography) is necessary to visualize the surface of articular cartilage in live patients. Thus, it is of primary interest to quantify the accuracy of CT arthrography to demonstrate the feasibility of patient-specific modeling. The objectives of this study were to assess the accuracy and detection limits of CT for measuring simulated cartilage thickness using a phantom and to quantify changes in accuracy due to alterations in contrast agent concentration, imaging plane direction, spatial resolution and joint spacing.


Author(s):  
Peter M. van der Kraan ◽  
Esmeralda N. Blaney Davidson

This chapter provides an overview of tissues unique to synovial joints, articular cartilage, and meniscus. The development and cellular and (bio)chemical composition are described, as well as the role of mechanical stimuli. In addition, the role of growth factors in cartilage and meniscus homeostasis, cellular differentiation, and chondrocyte hypertrophy are discussed. Furthermore, the involvement of aggrecanases and matrix metalloproteinases in cartilage and meniscus matrix degradation and osteoarthritis are described. Finally, the current status of repair of articular cartilage and meniscus is provided. This chapter reflects the changes in cellular differentiation, growth factor signalling, and altered matrix composition that contribute to osteoarthritis.


1984 ◽  
Vol 19 (Supplement) ◽  
pp. S210-S211 ◽  
Author(s):  
STEVEN R. MILLS ◽  
ARL V. MOORE ◽  
DENNIS K. HEASTON ◽  
SUSAN ALLEN ◽  
MILTON BATES ◽  
...  

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