Is it possible to predict the outcome of peripheral nerve injuries? A probability model based on prospects for regenerating neurites.
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. Our basic assumptions were that regrowth was random and regrowth of any individual neurite could be defined in terms of its influence on recovery; this influence could be either valid, neutral or invalid. We designed a probability model describing the prospects of regrowth for nerves composed of several types of fibers. Our goal was to propose a general explanation of nerve healing rather than to predict the outcome in individual situations. The results suggested that this model satisfactorily described the events taking place in a healing nerve.
D000818:Animals; D006801:Humans; D008959:Models, Neurological; D009416:Nerve Regeneration; D059348:Peripheral Nerve Injuries; D010525:Peripheral Nerves / Q000502:physiology; D011338:Probability Theory; D014945:Wound Healing