Contrast-Enhanced Nanofocus X-Ray Computed Tomography Allows Virtual Three-Dimensional Histopathology and Morphometric Analysis of Osteoarthritis in Small Animal Models

Objective: One of the early hallmarks of osteoarthritis (OA) is a progressive degeneration of the articular cartilage. Early diagnosis of OA-associated cartilage alterations would be beneficial for disease prevention and control, and for the development of disease-modifying treatments. However, early diagnosis is still hampered by a lack of quantifiable readouts in preclinical models. Design: In this study, we have shown the potency of contrast-enhanced nanofocus x-ray computed tomography (CE-nanoCT) to be used for virtual 3-dimensional (3D) histopathology in established mouse models for OA, and we compared with standard histopathology. Results: We showed the equivalence of CE-nanoCT images to histopathology for the modified Mankin scoring of the cartilage structure and quality. Additionally, a limited set of 3D cartilage characteristics measured by CE-nanoCT image analysis in a user-independent and semiautomatic manner, that is, average and maximum of the noncalcified cartilage thickness distribution and loss in glycosaminoglycans, was shown to be predictive for the cartilage quality and structure as can be evaluated by histopathological scoring through the use of an empirical model. Conclusions: We have shown that CE-nanoCT is a tool that allows virtual histopathology and 3D morphological quantification of multitissue systems, such as the chondro-osseous junction. It provides faster and more quantitative data on cartilage structure and quality compared with standard histopathology while eliminating user bias. CE-nanoCT thus should allow capturing subtle differences in cartilage characteristics, carefully mapping OA progression and, ultimately, asses the beneficial changes when testing a candidate disease-modifying treatment.

[1]  Mohammad Wahid Ansari,et al.  The legal status of in vitro embryos , 2014 .

[2]  S. Glasson,et al.  The surgical destabilization of the medial meniscus (DMM) model of osteoarthritis in the 129/SvEv mouse. , 2007, Osteoarthritis and cartilage.

[3]  M. Maréchal,et al.  In Vivo Evaluation of Different Surgical Procedures for Autologous Chondrocyte Implantation , 2013, Cartilage.

[4]  John G. Albeck,et al.  Cue-Signal-Response Analysis of TNF-Induced Apoptosis by Partial Least Squares Regression of Dynamic Multivariate Data , 2004, J. Comput. Biol..

[5]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[6]  H. Weinans,et al.  In vivo imaging of cartilage degeneration using microCT-arthrography. , 2007, Osteoarthritis and cartilage.

[7]  B. Christiansen,et al.  Musculoskeletal changes following non-invasive knee injury using a novel mouse model of post-traumatic osteoarthritis. , 2012, Osteoarthritis and cartilage.

[8]  M. Hochberg,et al.  Joint Injury in Young Adults and Risk for Subsequent Knee and Hip Osteoarthritis , 2000, Annals of Internal Medicine.

[9]  C. Little,et al.  The OARSI histopathology initiative - recommendations for histological assessments of osteoarthritis in the mouse. , 2010, Osteoarthritis and cartilage.

[10]  F. Berenbaum,et al.  Osteoarthritis: an update with relevance for clinical practice , 2011, The Lancet.

[11]  P. Rüegsegger,et al.  A new method for the model‐independent assessment of thickness in three‐dimensional images , 1997 .

[12]  X. Cheng,et al.  Osteoarthritic change is delayed in a Ctsk-knockout mouse model of osteoarthritis. , 2012, Arthritis and rheumatism.

[13]  E. Williams,et al.  High resolution micro arthrography of hard and soft tissues in a murine model. , 2012, Osteoarthritis and cartilage.

[14]  H. Dorfman,et al.  Biochemical and metabolic abnormalities in articular cartilage from osteo-arthritic human hips. II. Correlation of morphology with biochemical and metabolic data. , 1971, The Journal of bone and joint surgery. American volume.

[15]  Robert E. Guldberg,et al.  Analysis of cartilage matrix fixed charge density and three-dimensional morphology via contrast-enhanced microcomputed tomography , 2006, Proceedings of the National Academy of Sciences.

[16]  B. Snyder,et al.  Contrast agent electrostatic attraction rather than repulsion to glycosaminoglycans affords a greater contrast uptake ratio and improved quantitative CT imaging in cartilage. , 2011, Osteoarthritis and cartilage.

[17]  H. Weinans,et al.  ADAMTS5-/- mice have less subchondral bone changes after induction of osteoarthritis through surgical instability: implications for a link between cartilage and subchondral bone changes. , 2007, Osteoarthritis and cartilage.

[18]  J. Schrooten,et al.  Contrast-enhanced nanofocus computed tomography images the cartilage subtissue architecture in three dimensions. , 2013, European cells & materials.

[19]  小澤 英史 Osteoarthritic change is delayed in a ctsk-knockout mouse model of osteoarthritis , 2012 .

[20]  Steven A Olson,et al.  Joint degeneration following closed intraarticular fracture in the mouse knee: A model of posttraumatic arthritis , 2007, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[21]  H J Mankin,et al.  Biochemical and metabolic abnormalities in articular cartilage from osteo-arthritic human hips. , 1970, The Journal of bone and joint surgery. American volume.

[22]  K. Messner,et al.  The long-term prognosis for severe damage to weight-bearing cartilage in the knee: a 14-year clinical and radiographic follow-up in 28 young athletes. , 1996, Acta orthopaedica Scandinavica.

[23]  J. Jurvelin,et al.  Bath Concentration of Anionic Contrast Agents Does Not Affect Their Diffusion and Distribution in Articular Cartilage In Vitro , 2013, Cartilage.

[24]  D. Lauffenburger,et al.  Multipathway Kinase Signatures of Multipotent Stromal Cells Are Predictive for Osteogenic Differentiation , 2009, Stem cells.

[25]  R E Guldberg,et al.  Quantitative assessment of articular cartilage morphology via EPIC-microCT. , 2009, Osteoarthritis and cartilage.

[26]  D. R. Sumner,et al.  Initial application of EPIC-μCT to assess mouse articular cartilage morphology and composition: effects of aging and treadmill running. , 2012, Osteoarthritis and cartilage.

[27]  Marco Endrizzi,et al.  Visualization of small lesions in rat cartilage by means of laboratory-based x-ray phase contrast imaging , 2012, Physics in medicine and biology.

[28]  D. Lauffenburger,et al.  A Systems Model of Signaling Identifies a Molecular Basis Set for Cytokine-Induced Apoptosis , 2005, Science.

[29]  B. Snyder,et al.  Contrast-enhanced CT with a high-affinity cationic contrast agent for imaging ex vivo bovine, intact ex vivo rabbit, and in vivo rabbit cartilage. , 2013, Radiology.

[30]  R E Guldberg,et al.  Nondestructive assessment of sGAG content and distribution in normal and degraded rat articular cartilage via EPIC-microCT. , 2010, Osteoarthritis and cartilage.

[31]  Douglas A. Lauffenburger,et al.  Common effector processing mediates cell-specific responses to stimuli , 2007, Nature.