The development of a normalization method for comparing nerve regeneration effectiveness among different graft types

Autor:	Munish B. Shah, Yan Meng, Jeffrey DeVince, Michael S. Johns, Gabriella Green, Xiaojun Yu, Wei Chang
Rok vydání:	2013
Předmět:	Neural Conduction Normalization (statistics) medicine.medical_specialty business.industry General Neuroscience Nerve graft Nerve guidance conduit Nerve conduction velocity Surgery surgical procedures operative Peripheral nerve medicine Neurology (clinical) business Biomedical engineering
Zdroj:	Journal of the Peripheral Nervous System. 18:297-305
ISSN:	1085-9489
Popis:	The inability to compare directly different nerve grafts has been a significant factor hindering the advance of nerve graft development. Due to the abundance of variables that exist in nerve graft construction and multiple assessment types, there has been limited success in comparing nerve graft effectiveness among experiments. Using mathematical techniques on nerve conduction velocity (NCV) autograft data, a normalization function was empirically derived that normalizes differences in gap lengths. Further analysis allowed for the development of the relative regeneration ratio (RRR). The RRR function allows researchers to directly compare nerve graft results based on the NCV data from their respective studies as long as the data was collected at the same post-operation time. This function also allows for comparisons between grafts tested at different gap lengths. Initial testing of this RRR function provided confidence that the function is accurate for a continuum of gap lengths and different nerve graft types.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::48b24669d8f4854649011384974cf535 https://doi.org/10.1111/jns5.12043 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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