Quantitative study of the influence of swimming therapy on osteoporosis rat models based on synchrotron radiation computed tomogaphy

2018 ◽  
Vol 25 (3) ◽  
pp. 793-800 ◽  
Author(s):  
Liya Huang ◽  
Jun Xu ◽  
Han Guo ◽  
Yujie Wang ◽  
Jun Zhao ◽  
...  

Osteoporosis is a bone disease with a variety of causes, leading to bone pain and fragility to fracture. Major treatment methods include nutrition therapy, exercise therapy, drug therapy and surgical treatment, among which exercise therapy, such as swimming, is the most effective. To investigate the optimal swimming therapy regime for postmenopausal women, the effects of eight weeks of different intensity swimming exercises were studied in rat models. After the swimming program, lumbar vertebrae were dissected from all the rats and scanned by synchrotron radiation computed tomography (SRCT). Histomorphometry analysis and finite-element analysis were carried out on the trabecular structure of the L4 lumbar based on the acquired SRCT slices. Histomorphometry analysis showed that swimming can alleviate the decrease in bone strength induced by estrogen deficiency, and moderate-intensity swimming was found to have the most significant effect.

2013 ◽  
Author(s):  
Agnes Ostertag ◽  
Francoise Peyrin ◽  
Sylvie Fernandez ◽  
Jean-Denis Laredo ◽  
Vernejoul Marie-Christine De ◽  
...  

2010 ◽  
Vol 63 (12) ◽  
pp. 1220-1223 ◽  
Author(s):  
J. Lorthios ◽  
F. Nguyen ◽  
A.-F. Gourgues ◽  
T.F. Morgeneyer ◽  
P. Cugy

2021 ◽  
Author(s):  
Wanyu Li ◽  
Jun Xu ◽  
Shunan Zhang ◽  
Han Guo ◽  
Jianqi Sun ◽  
...  

Abstract Background: As the gold standard for clinical osteoporosis diagnosis, bone mineral density has significant limitations in bone strength assessment and fracture risk prediction. The purpose of this study is to explore a new osteoporotic bone quality evaluation criteria from both diagnosis site selection and bone strength prediction. Methods: Ovariectomized rats with different intensity swimming therapy were investigated in this study. The lumbar vertebrae and femurs of all the rats were scanned by synchrotron radiation computed tomography. Bone microstructure analysis and finite element analysis were combined to obtain bone microstructure parameters and estimated bone strength. And the sensitivity of different skeletal sites to therapy was explored. An elastic network regression model was established to predict bone strength by integrating additional bone microstructure characteristics besides bone mass.Results: Histomorphometry analysis showed that swimming therapy could reduce the risk of osteoporosis of lumbar vertebrae and femur and suggested that the femur might be a more suitable site for osteoporosis diagnosis and efficacy evaluation than the lumbar vertebrae. The average coefficient of determination and average root mean squared error of our predictive model were 0.774 and 0.110. Bland-Altman analysis showed that our model could be a good alternative to the finite element method. Conclusions: The present study developed a machine learning model for prediction of bone strength of osteoporosis model based on synchrotron x-ray imaging and demonstrated that different skeletal sites had different sensitivity to therapy, which is of great significance for the early diagnosis of osteoporosis, the prevention of fractures and the monitoring of therapy.


2020 ◽  
Vol 73 (1) ◽  
pp. 91-94
Author(s):  
Nazar M. Kostyshyn ◽  
Liubov P. Kostyshyn ◽  
Mechyslav R. Gzhegotskyi

The aim of investigation was to study the structural and functional conditions of cortical and trabecular layers of lumbar vertebrae L1-L5 in different age groups. Materials and methods: In order to assess BMD of the lumbar vertebrae 102 people18 to 75 years old was examined. Study of bone mineral density cortical and trabecular layer of lumbar vertebrae (L1-L5) performed by computed tomography in Hounsfield Units (HU) in terms of standard deviation (SD). Results: The results of computed tomography showed a direct relationship of bone mineral density of lumbar vertebrae with age of examined persons. Osteoporosis and osteopenia was registered in 15% of men and 30% women in middle adulthood, in late adulthood – 35% and 50% respectively. During early old age osteopenia and osteoporosis are observed in 37,5% and 25% of men and 26% and 64% women. Osteoporosis in the middle old age has been reported in 50% of men and 75% of women Conclusions: Results of the study showed a direct link between mineral density, age and gender. The middle adulthood age period was characterized by the highest mineral mass compared with the other age periods. Then there is a loss of bone mass throughout life, and with the onset of aging osteopenia and osteoporosis are recorded. It was investigated that in the early old age, loss of bone mass is mainly observed in female.


Bone ◽  
2005 ◽  
Vol 37 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Babul Borah ◽  
Erik L. Ritman ◽  
Thomas E. Dufresne ◽  
Steven M. Jorgensen ◽  
Sheng Liu ◽  
...  

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