Utilization of longitudinal ultrasound to quantify joint soft-tissue changes in a mouse model of posttraumatic osteoarthritis

Hao Xu , Echoe M Bouta , Ronald W Wood , Edward M Schwarz , Yongjun Wang , Lianping Xing

Bone Research ›› 2017, Vol. 5 ›› Issue (1) : 17012

PDF
Bone Research ›› 2017, Vol. 5 ›› Issue (1) : 17012 DOI: 10.1038/boneres.2017.12
Article

Utilization of longitudinal ultrasound to quantify joint soft-tissue changes in a mouse model of posttraumatic osteoarthritis

Author information +
History +
PDF

Abstract

Ultrasound could be a fast and cost-effective means of assessing joint changes in mouse models of posttraumatic osteoarthritis (PTOA). Such models are essential for understanding the biology of this degenerative joint disease and developing new treatments, but noninvasive methods of evaluating disease activity are lacking. Because ultrasound can visualize both joint space volumes and blood flow in the joints, it could provide an alternative to microscopic examination of tissue, assuming it accurately reflects the pathological changes. To test this, Lianping Xing at Rochester Medical Center in New York, Yongjun Wang at Shanghai University of Traditional Chinese Medicine and colleagues surgically induced PTOA in the knees of mice and then assessed the animals at regular intervals using either ultrasound or tissue microscopy. The changes detected by ultrasound strongly correlated with synovial inflammation and cartilage damage. In addition, ultrasound provides a tool for longitudinally assessing the changes of joint tissue lesions in PTOA.

Cite this article

Download citation ▾
Hao Xu, Echoe M Bouta, Ronald W Wood, Edward M Schwarz, Yongjun Wang, Lianping Xing. Utilization of longitudinal ultrasound to quantify joint soft-tissue changes in a mouse model of posttraumatic osteoarthritis. Bone Research, 2017, 5(1): 17012 DOI:10.1038/boneres.2017.12

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Zhang W, Doherty M, Peat G et al. EULAR evidence-based recommendations for the diagnosis of knee osteoarthritis. Ann Rheum Dis, 2010, 69: 483-489

[2]

Dieppe PA, Lohmander LS. Pathogenesis and management of pain in osteoarthritis. Lancet, 2005, 365: 965-973

[3]

Kellgren JH, Lawrence JS. Radiological assessment of osteo-arthrosis. Ann Rheum Dis, 1957, 16: 494-502

[4]

Conaghan PG, D'Agostino MA, Le Bars M et al. Clinical and ultrasonographic predictors of joint replacement for knee osteoarthritis: results from a large, 3-year, prospective EULAR study. Ann Rheum Dis, 2010, 69: 644-647

[5]

Keffer J, Probert L, Cazlaris H et al. Transgenic mice expressing human tumour necrosis factor: a predictive genetic model of arthritis. EMBO J, 1991, 10: 4025-4031

[6]

Bouta EM, Banik PD, Wood RW et al. Validation of power Doppler versus contrast-enhanced magnetic resonance imaging quantification of joint inflammation in murine inflammatory arthritis. J Bone Miner Res, 2015, 30: 690-694

[7]

Hulth A, Lindberg L, Telhag H. Experimental osteoarthritis in rabbits. Preliminary report. Acta Orthop Scand, 1970, 41: 522-530

[8]

Bouta EM, Ju Y, Rahimi H et al. Power Doppler ultrasound phenotyping of expanding versus collapsed popliteal lymph nodes in murine inflammatory arthritis. PLoS One, 2013, 8: e73766

[9]

Shi J, Liang Q, Zuscik M et al. Distribution and alteration of lymphatic vessels in knee joints of normal and osteoarthritic mice. Arthritis Rheumatol, 2014, 66: 657-666

[10]

Luyten FP, Denti M, Filardo G et al. Definition and classification of early osteoarthritis of the knee. Knee Surg Sports Traumatol Arthrosc, 2012, 20: 401-406

[11]

Sanches J . Ultrasound Imaging. New York: Springer USA. 2012.

[12]

Loeser RF, Goldring SR, Scanzello CR et al. Osteoarthritis: a disease of the joint as an organ. Arthritis Rheum, 2012, 64: 1697-1707

AI Summary AI Mindmap
PDF

135

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/