Share:
Share this content in WeChat
X
Original Article
Evaluation of skeletal muscle microvascular permeability and texture analysis based on DCE-MRI in diabetic mellitus merged with critical limb ischemia rabbits
YANG Qi  YAN Yuchen  LIU Huan  YANG Liu  PENG Lin  ZHANG Yubiao  ZHA Yunfei 

Cite this article as: Yang Q, Yan YC, Liu H, et al. Evaluation of skeletal muscle microvascular permeability and texture analysis based on DCE-MRI in diabetic mellitus merged with critical limb ischemia rabbits. Chin J Magn Reson Imaging, 2020, 11(6): 427-432. DOI:10.12015/issn.1674-8034.2020.06.006.


[Abstract] Objective: To evaluate skeletal muscle microvascular permeability and blood perfusion in diabetic rabbits with critical limb ischemia by using permeability and texture analysis based on quantitative dynamic contrast enhanced magnetic resonance imaging (DCE-MRI).Materials and Methods: Japanese big ear rabbits were randomly assigned to experimental (n=12) and sham-operated (n=12) group. After modeling, all rabbits underwent axial MR imaging (DCE-MRI) of the vastus lateralis muscle at fixed time points (1, 2, 3 weeks after operation). The pharmacokinetic model was used to acquire the quantitative permeability parameters of DCE-MRI and texture analysis based on Ktrans. Independent sample t test or Mann-Whitney U test and repeated measures analysis was used to compare the difference of permeability parameters between experimental and sham-operated group at the same time point. The texture features extracted in both group at week 3 were modeled for further feature screening. The area under the curve (AUC) was obtained by joint ROC curve analysis of the texture parameters with statistical differences. The correlation of permeability parameters and texture parameters with MVD (CD31) and peripheral blood EPCs was analyzed.Results: The difference of vastus lateralis muscle of Ktrans value at each time point in the experimental group was statistically significant, Texture analysis based on DCE-MRI were significantly different in both group. The AUC value is 0.882, there was a correlation between pathological and texture parameters.Conclusions: Permeability parameters and texture analysis based on DCE-MRI quantitative can be used to evaluate microvascular permeability and blood perfusion of diabetic mellitus merged with critical limb ischemia rabbits skeletal muscle.
[Keywords] diabetic mellitus;limb ischemia;skeletal muscle;permeability parameters;texture analysis;magnetic resonance imaging;animal experiments

YANG Qi Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China

YAN Yuchen Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China

LIU Huan Advanced Application Team, GE Healthcare, Shanghai 201203, China

YANG Liu Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China

PENG Lin Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China

ZHANG Yubiao Department of Orthopedics, Renmin Hospital of Wuhan University, Wuhan 430060, China

ZHA Yunfei* Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China

*Correspondence to: Zha YF, E-mail: zhayunfei999@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of National Natural Science Foundation of China No.81871332
Received  2020-02-12
Accepted  2020-04-12
DOI: 10.12015/issn.1674-8034.2020.06.006
Cite this article as: Yang Q, Yan YC, Liu H, et al. Evaluation of skeletal muscle microvascular permeability and texture analysis based on DCE-MRI in diabetic mellitus merged with critical limb ischemia rabbits. Chin J Magn Reson Imaging, 2020, 11(6): 427-432. DOI:10.12015/issn.1674-8034.2020.06.006.

[1]
Shammas AN, Jeon-Slaughter H, Tsai S, et al. Major limb outcomes following lower extremity endovascular revascularization in patients with and without diabetes mellitus. J Endovasc Ther, 2017, 24(3): 376- 382.
[2]
Macaskill MG, Saif J, Condie A, et al. Robust revascularization in models of limb ischemia using a clinically translatable human stem cell-derived endothelial cell product. Mol Ther, 2018, 26(7): 1669-1684.
[3]
van Ginneken B, ter Haar RB, Viergever MA. Computer-aided diagnosis in chest radiography: a survey. IEEE Trans Med Imaging, 2001, 20(12): 1228-1241.
[4]
Liu T, Zhao H, Li J, et al. Rosiglitazone attenuates atrial structural remodeling and atrial fibrillation promotion in alloxan-induced diabetic rabbits. Cardiovasc Ther, 2014, 32(4): 178-183.
[5]
柳柏玉,查云飞,胡磊,等.基于DCE-MRI Ktrans纹理分析评价四氧嘧啶诱导兔糖尿病早期骨骼肌变化.放射学实践, 2019, 34(7): 729-734.
[6]
Howangyin KY, Silvestre JS. Diabetes mellitus and ischemic diseases: molecular mechanisms of vascular repair dysfunction. Arterioscler Thromb Vasc Biol, 2014, 34(6): 1126-1135.
[7]
Tsukada S, Masuda H, Jung SY, et al. Impaired development and dysfunction of endothelial progenitor cells in type 2 diabetic mice. Diabetes Metab, 2017, 43(2): 154-162.
[8]
谭强,李广平,王庆胜,等.四氧嘧啶诱导的糖尿病对兔骨髓内皮祖细胞及循环内皮祖细胞功能的影响.中华医学杂志, 2017, 97(28): 2186- 2193.
[9]
Ahmed M, de Winther M, Van den Bossche J. Epigenetic mechanisms of macrophage activation in type 2 diabetes. Immunobiology, 2017, 222(10): 937-943.
[10]
Babu M, Durga DT, Makinen P, et al. Differential promoter methylation of macrophage genes is associated with impaired vascular growth in ischemic muscles of hyperlipidemic and type 2 diabetic mice: Genome-wide promoter methylation study. Circ Res, 2015, 117(3): 289-299.
[11]
Zhang J, Li Y, Li H, et al. GDF11 improves angiogenic function of EPCs in diabetic limb ischemia. Diabetes, 2018, 67(10): 2084-2095.
[12]
Dai X, Yan X, Zeng J, et al. Elevating CXCR7 improves angiogenic function of EPCs via Akt/GSK-3beta/Fyn-mediated Nrf2 activation in diabetic limb ischemia. Circ Res, 2017, 120(5): e7-e23.
[13]
Howangyin KY, Silvestre JS. Diabetes mellitus and ischemic diseases: molecular mechanisms of vascular repair dysfunction. Arterioscler Thromb Vasc Biol, 2014, 34(6): 1126-1135.
[14]
Skoch A, Jirak D, Vyhnanovska P, et al. Classification of calf muscle MR images by texture analysis. MAGMA, 2004, 16(6): 259-267.
[15]
Mahmoud-Ghoneim D, Cherel Y, Lemaire L, et al. Texture analysis of magnetic resonance images of rat muscles during atrophy and regeneration. Magn Reson Imaging, 2006, 24(2): 167-171.
[16]
Nketiah G, Savio S, Dastidar P, et al. Detection of exercise load-associated differences in hip muscles by texture analysis. Scand J Med Sci Sports, 2015, 25(3): 428-434.
[17]
陈瑾,王海屹,叶慧义.纹理分析在肿瘤影像学中的研究进展.中华放射学杂志, 2017, 51(12): 979-982.

PREV Study on diffusion tensor imaging before and after minimally invasive surgery for lumbar disc herniation
NEXT Diffusion weighted imaging of head based on GRADE-DWI sequence
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn