In vivo and in vitro tracer studies, e. g., fundus fluorescein angiography, fluorescein and lanthanum tracer procedures were carried out on mild and severe blunt ocular trauma in rabbits to investigate pathological changes of the blood retinal barrier. Noo difusion of the tracers was found in the retinal after mild blunt trauma. However, severe disorganization of the retinal pigment epithelial cells and breakdown of the outer blood retinal barrier with permeation of tracers in the interphotoreceptor space were evident after severe blunt trauma. These results suggest that contusional retinal edema is mainly due to disruption of cells in the outer retinal layer barrier may, in part, play a role in pathogenesis of the retinal edema. （Chin J Ocul Fundus Dis,1992,8:130-132）
摘要:目的:总结儿童眼球钝挫伤致前房积血的原因、临床表现以及最佳治疗方法。方法: 回顾分析四川大学华西医院2007年9月~2008年9月收治的眼球钝挫伤致前房积血23例的治疗:(1)半卧位休息;(2)双眼包扎或不包扎;(3)止血;(4)手术治疗。 结果: Ⅰ、Ⅱ级前房积血吸收快,出现继发性出血者常需要采取手术治疗,视功能恢复缓慢。结论: 早期积极恰当治疗,可减少继发性青光眼、角膜血染等并发症。Abstract: Objective: To summarize the reasons of children hyphema caused by blunt, clinical manifestations, as well as the best method of treatment. Methods: analysing the 23 cases history of eye hyphema from September 2007 to September 2008 in West China Hospital of Sichuan University caused by blunt. The treatments were: (1) semisupine rest; (2) eyes bandaged; (3) to use hemostatic medicine; (4) surgery. Results: Hyphema in Ⅰand Ⅱ class could be absorbed fastly.Secondary hemorrhage often need to be taken for surgical treatment, depending on the slow recovery of vision. Conclusion: Early appropriate and positive treatment can reduce secondary glaucoma, corneal complications such as blood.
The finite element method is a new method to study the mechanism of brain injury caused by blunt instruments. But it is not easy to be applied because of its technology barrier of time-consuming and strong professionalism. In this study, a rapid and quantitative evaluation method was investigated to analyze the craniocerebral injury induced by blunt sticks based on convolutional neural network and finite element method. The velocity curve of stick struck and the maximum principal strain of brain tissue (cerebrum, corpus callosum, cerebellum and brainstem) from the finite element simulation were used as the input and output parameters of the convolutional neural network The convolutional neural network was trained and optimized by using the 10-fold cross-validation method. The Mean Absolute Error (MAE), Mean Square Error (MSE), and Goodness of Fit (R2) of the finally selected convolutional neural network model for the prediction of the maximum principal strain of the cerebrum were 0.084, 0.014, and 0.92, respectively. The predicted results of the maximum principal strain of the corpus callosum were 0.062, 0.007, 0.90, respectively. The predicted results of the maximum principal strain of the cerebellum and brainstem were 0.075, 0.011, and 0.94, respectively. These results show that the research and development of the deep convolutional neural network can quickly and accurately assess the local brain injury caused by the sticks blow, and have important application value for understanding the quantitative evaluation and the brain injury caused by the sticks struck. At the same time, this technology improves the computational efficiency and can provide a basis reference for transforming the current acceleration-based brain injury research into a focus on local brain injury research.