Diffusion Tensor Imaging of Visual Pathway Abnormalities in Five Glaucoma Animal Models.
Diffusion Tensor Imaging of Visual Pathway Abnormalities in Five Glaucoma Animal Models.
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DOI:
10.1167/iovs.62.10.21
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发表时间:
2021-08-02
影响因子:
4.4
通讯作者:
Chan KC
中科院分区:
文献类型:
--
作者:
Colbert MK;Ho LC;van der Merwe Y;Yang X;McLellan GJ;Hurley SA;Field AS;Yun H;Du Y;Conner IP;Parra C;Faiq MA;Fingert JH;Wollstein G;Schuman JS;Chan KC
To characterize the visual pathway integrity of five glaucoma animal models using diffusion tensor imaging (DTI). Two experimentally induced and three genetically determined models of glaucoma were evaluated. For inducible models, chronic IOP elevation was achieved via intracameral injection of microbeads or laser photocoagulation of the trabecular meshwork in adult rodent eyes. For genetic models, the DBA/2J mouse model of pigmentary glaucoma, the LTBP2 mutant feline model of congenital glaucoma, and the transgenic TBK1 mouse model of normotensive glaucoma were compared with their respective genetically matched healthy controls. DTI parameters, including fractional anisotropy, axial diffusivity, and radial diffusivity, were evaluated along the optic nerve and optic tract. Significantly elevated IOP relative to controls was observed in each animal model except for the transgenic TBK1 mice. Significantly lower fractional anisotropy and higher radial diffusivity were observed along the visual pathways of the microbead- and laser-induced rodent models, the DBA/2J mice, and the LTBP2-mutant cats compared with their respective healthy controls. The DBA/2J mice also exhibited lower axial diffusivity, which was not observed in the other models examined. No apparent DTI change was observed in the transgenic TBK1 mice compared with controls. Chronic IOP elevation was accompanied by decreased fractional anisotropy and increased radial diffusivity along the optic nerve or optic tract, suggestive of disrupted microstructural integrity in both inducible and genetic glaucoma animal models. The effects on axial diffusivity differed between models, indicating that this DTI metric may represent different aspects of pathological changes over time and with severity.
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影响因子:
9.3
作者:
Harder JM;Williams PA;Braine CE;Yang HS;Thomas JM;Foxworth NE;John SWM;Howell GR
通讯作者:
Howell GR
影响因子:
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4.4
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DOI:
10.1073/pnas.0913141107
发表时间:
2010-03-16
影响因子:
11.1
作者:
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通讯作者:
Calkins, David J.
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7
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通讯作者:
Liton PB