Diffusion tensor imaging in evaluation of human skeletal muscle injury

2006 ◽  
Vol 24 (2) ◽  
pp. 402-408 ◽  
Author(s):  
Tatiana Zaraiskaya ◽  
Dinesh Kumbhare ◽  
Michael D. Noseworthy
Keyword(s):  
Skeletal Muscle ◽  
Diffusion Tensor Imaging ◽  
Muscle Injury ◽  
Human Skeletal Muscle ◽  
Diffusion Tensor ◽  
Skeletal Muscle Injury

scholarly journals A Longitudinal Study of T2 Mapping Combined With Diffusion Tensor Imaging to Quantitatively Evaluate Tissue Repair of Rat Skeletal Muscle After Frostbite

2021 ◽  
Vol 11 ◽  
Author(s):  
Yue Gao ◽  
Zhao Lu ◽  
Xiaohong Lyu ◽  
Qiang Liu ◽  
Shinong Pan
Keyword(s):  
Skeletal Muscle ◽  
Relaxation Time ◽  
Diffusion Tensor Imaging ◽  
Muscle Injury ◽  
Diffusion Tensor ◽  
T2 Mapping ◽  
Imaging Biomarkers ◽  
T2 Relaxation Time ◽  
T2 Relaxation ◽  
Skeletal Muscle Injury

Purpose: T2 mapping and diffusion tensor imaging (DTI) enable the detection of changes in the skeletal muscle microenvironment. We assessed T2 relaxation times, DTI metrics, performed histological characterization of frostbite-induced skeletal muscle injury and repair, and provided diagnostic imaging biomarkers.Design and Methods: Thirty-six Sprague Dawley rats (200 ± 10 g) were obtained. Thirty rats were used for establishing a skeletal muscle frostbite model, and six were untreated controls. Functional MR sequences were performed on rats on days 0, 3, 5, 10, and 14 (n = 6 per time point). Rats were then sacrificed to obtain the quadriceps muscles. Tensor eigenvalues (λ1, λ2, and λ3), mean diffusivity (MD), fractional anisotropy (FA), and T2 values were compared between the frostbite model and control rats. ImageJ was used to measure the extracellular area fraction (EAF), muscle fiber cross-sectional area (fCSA), and skeletal muscle tumor necrosis factor α (TNF-α), and Myod1 expression. The correlation between the histological and imaging parameters of the frostbitten skeletal muscle was evaluated. Kolmogorov–Smirnoff test, Leven’s test, one-way ANOVA, and Spearman coefficient were used for analysis.Results: T2 relaxation time of frostbitten skeletal muscle was higher at all time points (p < 0.01). T2 relaxation time correlated with EAF, and TNF-α and Myod1 expression (r = 0.42, p < 0.05; r = 0.86, p < 0.01; r = 0.84, p < 0.01). The average tensor metrics (MD, λ1, λ2, and λ3) of skeletal muscle at 3 and 5 days of frostbite increased (p < 0.05), and fCSA correlated with λ1, λ2, and λ3, and MD (r = 0.65, p < 0.01; r = 0.48, p < 0.01; r = 0.52, p < 0.01; r = 0.62, p < 0.01).Conclusion: T2 mapping and DTI imaging detect frostbite-induced skeletal muscle injury early. This combined approach can quantitatively assess skeletal muscle repair and regeneration within 2 weeks of frostbite. Imaging biomarkers for the diagnosis of frostbite were suggested.

scholarly journals Assessment of Human Skeletal Muscle Contraction and Force by Diffusion Tensor Imaging

2015 ◽  
Vol 05 (04) ◽  
pp. 189-198 ◽  
Author(s):  
Junichi Hata ◽  
Haruyuki Nagata ◽  
Kazuki Endo ◽  
Yuji Komaki ◽  
Masakazu Sato ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Diffusion Tensor Imaging ◽  
Muscle Contraction ◽  
Human Skeletal Muscle ◽  
Diffusion Tensor ◽  
Skeletal Muscle Contraction

scholarly journals Stem Cells for the Treatment of Skeletal Muscle Injury

2009 ◽  
Vol 28 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Andres J. Quintero ◽  
Vonda J. Wright ◽  
Freddie H. Fu ◽  
Johnny Huard
Keyword(s):  
Skeletal Muscle ◽  
Stem Cells ◽  
Muscle Injury ◽  
Skeletal Muscle Injury

scholarly journals Modelling the skeletal muscle injury recovery using in vivo contrast-enhanced micro-CT: a proof-of-concept study in a rat model

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Bruno Paun ◽  
Daniel García Leon ◽  
Alex Claveria Cabello ◽  
Roso Mares Pages ◽  
Elena de la Calle Vargas ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Rat Model ◽  
Muscle Injury ◽  
Micro Ct ◽  
Skeletal Muscle Injury ◽  
Monitoring Time ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced ◽  
Injury Recovery

Abstract Background Skeletal muscle injury characterisation during healing supports trauma prognosis. Given the potential interest of computed tomography (CT) in muscle diseases and lack of in vivo CT methodology to image skeletal muscle wound healing, we tracked skeletal muscle injury recovery using in vivo micro-CT in a rat model to obtain a predictive model. Methods Skeletal muscle injury was performed in 23 rats. Twenty animals were sorted into five groups to image lesion recovery at 2, 4, 7, 10, or 14 days after injury using contrast-enhanced micro-CT. Injury volumes were quantified using a semiautomatic image processing, and these values were used to build a prediction model. The remaining 3 rats were imaged at all monitoring time points as validation. Predictions were compared with Bland-Altman analysis. Results Optimal contrast agent dose was found to be 20 mL/kg injected at 400 μL/min. Injury volumes showed a decreasing tendency from day 0 (32.3 ± 12.0mm3, mean ± standard deviation) to day 2, 4, 7, 10, and 14 after injury (19.6 ± 12.6, 11.0 ± 6.7, 8.2 ± 7.7, 5.7 ± 3.9, and 4.5 ± 4.8 mm3, respectively). Groups with single monitoring time point did not yield significant differences with the validation group lesions. Further exponential model training with single follow-up data (R2 = 0.968) to predict injury recovery in the validation cohort gave a predictions root mean squared error of 6.8 ± 5.4 mm3. Further prediction analysis yielded a bias of 2.327. Conclusion Contrast-enhanced CT allowed in vivo tracking of skeletal muscle injury recovery in rat.

Physiological basis of the pathogenesis of alcohol-induced skeletal muscle injury

2016 ◽  
Vol 42 (3) ◽  
pp. 343-349 ◽  
Author(s):  
O. E. Zinovyeva ◽  
A. Yu. Emelyanova ◽  
N. D. Samkhaeva ◽  
N. S. Shcheglova ◽  
B. S. Shenkman ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Muscle Injury ◽  
Physiological Basis ◽  
Skeletal Muscle Injury
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