Literature DB >> 19962916

Articular cartilage imaging by the use of phase-contrast tomography in a collagen-induced arthritis mouse model.

Yeom Sik Lee1, Eun-A Heo, Hong Young Jun, Sung Hoon Kang, Hun Soo Kim, Myung Soo Lee, Seung-Jae Byun, Sang Ho Lee, Seong Hoon Park, Kwon-Ha Yoon.   

Abstract

RATIONALE AND
OBJECTIVES: This study was designed to demonstrate the feasibility of the use of phase-contrast computed tomographic (CT) imaging for the identification of articular cartilage abnormalities of the knees in a mouse model of collagen-induced arthritis.
MATERIALS AND METHODS: Arthritis was induced in nine male DBA/1 J mice by the intradermal injection of collagen. After 50 days, the nine mice were sacrificed, along with four mice that did not receive intradermal injections of collagen. Phase-contrast CT imaging using a microfocus x-ray source of the entire knee was performed. The images were evaluated by two blinded readers, and histopathologic grades were considered the reference standard. The phase-contrast CT images of cartilage were graded 0, I, or II. Evaluation of the grading agreement between the phase-contrast CT images and histopathologic findings was performed using correlation analysis.
RESULTS: Phase-contrast CT images highly reflected the subchondral bone status in the assessment of articular cartilage abnormalities in the mouse model of collagen-induced arthritis. Three-dimensional reformed images showed the articular surface and subchondral bony status of the knee joints. On the basis of the histopathology of the 26 knee joints, 12 joints were grade 0, six joints were grade I, and eight joints were grade II. Grading agreement between the use of the phase-contrast CT images and histopathologic results was high (r = 0.76).
CONCLUSIONS: Phase-contrast CT imaging using a microfocus x-ray source offers a promising tool for the assessment of articular cartilage abnormalities of the knees in a mouse model. Copyright 2010 AUR. All rights reserved.

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Year:  2009        PMID: 19962916     DOI: 10.1016/j.acra.2009.09.015

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  5 in total

1.  Synchrotron- and laboratory-based X-ray phase-contrast imaging for imaging mouse articular cartilage in the absence of radiopaque contrast agents.

Authors:  Massimo Marenzana; Charlotte K Hagen; Patricia Das Neves Borges; Marco Endrizzi; Magdalena B Szafraniec; Tonia L Vincent; Luigi Rigon; Fulvia Arfelli; Ralf-Hendrik Menk; Alessandro Olivo
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2014-01-27       Impact factor: 4.226

2.  Quantitative assessment of murine articular cartilage and bone using X-ray phase-contrast imaging.

Authors:  Jun Li; Huihui Yuan; Mingshu Wu; Linan Dong; Lu Zhang; Hongli Shi; Shuqian Luo
Journal:  PLoS One       Date:  2014-11-04       Impact factor: 3.240

3.  Quantitative imaging of murine osteoarthritic cartilage by phase-contrast micro-computed tomography.

Authors:  Merry Z C Ruan; Brian Dawson; Ming-Ming Jiang; Francis Gannon; Michael Heggeness; Brendan H L Lee
Journal:  Arthritis Rheum       Date:  2013-02

4.  Convolutional neuronal networks combined with X-ray phase-contrast imaging for a fast and observer-independent discrimination of cartilage and liver diseases stages.

Authors:  Johannes Stroebel; Annie Horng; Marco Armbruster; Alberto Mittone; Maximilian Reiser; Alberto Bravin; Paola Coan
Journal:  Sci Rep       Date:  2020-11-17       Impact factor: 4.379

5.  Accelerating functional gene discovery in osteoarthritis.

Authors:  Graham R Williams; J H Duncan Bassett; Natalie C Butterfield; Katherine F Curry; Julia Steinberg; Hannah Dewhurst; Davide Komla-Ebri; Naila S Mannan; Anne-Tounsia Adoum; Victoria D Leitch; John G Logan; Julian A Waung; Elena Ghirardello; Lorraine Southam; Scott E Youlten; J Mark Wilkinson; Elizabeth A McAninch; Valerie E Vancollie; Fiona Kussy; Jacqueline K White; Christopher J Lelliott; David J Adams; Richard Jacques; Antonio C Bianco; Alan Boyde; Eleftheria Zeggini; Peter I Croucher
Journal:  Nat Commun       Date:  2021-01-20       Impact factor: 17.694

  5 in total

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