PREDICTION OF OUTCOME OF PERIPHERAL NERVE INJURIES - A PROBABILITY MODEL

周围神经损伤的长期功能后果是 这是出了名的不可预测。我们假设，考虑到个人 神经基本成分(神经突起)的再生，而不是 器官的全球再生可能会带来更好的理解 神经修复的机制。 我们假设，任何单个轴突的再生都可以在 就其对经济复苏的影响而言，主要有三种可能性 有效的、中立的和无效的再生。我们设计了一个概率模型 介绍了几种类型神经再生的前景 纤维。该模型正在预定的情况下进行测试，以判断 它的有效性。我们发现，神经功能障碍的结局可能会发生变化 伤害可以用一个简约的假设来解释：随机性 重生。

The long term functional consequences of peripheral nerve injuries are notoriously unpredictable. We hypothesized that considering the individual regrowth of the elementary components of a nerve (the neurites) rather than the global regeneration of the organ could lead to a better understanding of the mechanisms of nerve repair. We postulated that the regrowth of any individual neurite can be defined in terms of its influence on recovery, the three main possibilities being valid, neutral and invalid regrowth. We have designed a probability model describing the prospects of regrowth for nerve composed of several types of fibers. This model is being tested in pre-determined situations to judge its validity. We found that possible variations in the outcome of nerve injuries could be explained by a parsimonious hypothesis: the randomness of regrowth.