Assessment of XXXX degree in animal model.

@entity1545 @entity131 @entity548 @entity4 @entity1410 @entity35 @entity130
OBJECTIVE: To establish stable and controllable @entity1545 with accurate degree and good repeatability in @entity35 model. METHODS: Controlled cortical impact (CCI) device was used to prepare for the @entity35 @entity1545 model by the impact head of different model (Group A No. 4, Group B No. 5, Group C No. 6) and the impact depth (Group A: 1.5-2.0 mm, Group B: 2.5-3.0 mm, Group C: 3.5-4.0 mm) with impact time of 0.1 s and impact velocity of 2.5 m/s. Twelve @entity35 with three months of age were used in each group (the impact depth of every two @entity35 was added 1 mm respectively). After modeling for 1 h, magnetic resonance imaging (MRI) was received and brain histopathology was observed to assess degree of @entity130 of three groups. RESULTS: After modeling of Group A, MRI showed that the cortex structure was damaged with a small amount of @entity548 in center and mild @entity4 around, and the total volume of injury was (28.69  4.94) mm(3). Pathology revealed the injury was confined to the superficial cortical with mild @entity4 of nerve cell, which was assessed as mild @entity131 . While after modeling, MRI of Group B showed that the structure of cortex and medulla were damaged simultaneously and extended to cerebral nuclei zone, with 4 cases of @entity1410 in the center and larger @entity4 range around, and the total volume of injury was (78.38  9.28) mm(3). Pathology revealed the injury range was reached nuclei zone, with swell of nerve cell and mitochondria, which was assessed to moderate @entity131 . After modeling of Group C, MRI showed that extensive tissue injury was appeared in cortex and medulla and deep nuclei, with 9 cases of @entity1410 and large @entity4 signal of surrounding tissue T2WI, while in 5 cases, lateral nucleus of injury signal was increased, and the total volume of injury was (135.89  24.80) mm(3). Pathology revealed the deep cerebral nuclei was damaged, with the disappearance of neuronal structure and vacuolization of mitochondria, which was assessed as severe @entity131 . MRI changes were consistent with pathological changes in three groups of model, and the injury range was significantly different (P<0.01). CONCLUSIONS: Application of CCI can make stable quantitative @entity131 model, which overcomes the randomness in @entity130 model and possesses highly unity in iconography and pathology changes. This can provide quantitative modeling reference for clinical research.
