摘要:目的:總結兒童眼球鈍挫傷致前房積血的原因、臨床表現以及最佳治療方法。方法: 回顧分析四川大學華西醫院2007年9月~2008年9月收治的眼球鈍挫傷致前房積血23例的治療:(1)半臥位休息;(2)雙眼包扎或不包扎;(3)止血;(4)手術治療。 結果: Ⅰ、Ⅱ級前房積血吸收快,出現繼發性出血者常需要采取手術治療,視功能恢復緩慢。結論: 早期積極恰當治療,可減少繼發性青光眼、角膜血染等并發癥。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.
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）
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.
