PREDICTION OF OUTCOME OF PERIPHERAL NERVE INJURIES - A PROBABILITY MODEL

周围神经的长期功能后果 受伤是出了名的不可预测。我们假设 考虑基本成分的个体再生 神经(神经突起)的再生，而不是 该器官可能有助于更好地理解这种机制。 神经修复。 我们推测，任何单个轴突的再生都可以 根据其对复苏的影响来定义，主要有三个 有可能是有效的、中立的和无效的再生。我们有 设计了描述再生前景的概率模型 用于由几种类型的纤维组成的神经。这一模式正在被 在预定的情况下进行测试，以判断其有效性。我们 发现神经损伤的结局可能存在差异 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.