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Método para obtener información útil para el diagnóstico de enfermedades neuromusculares

Authors: Escudero Cuadrado, Luis María; Montero Sánchez, Adoración; Paradas López, Carmen ‎; Rivas Infante, Eloy; Pascual Bravo, Alberto; Sáez Manzano, Aurora; Serrano Gotarredona, Carmen; +1 Authors

Método para obtener información útil para el diagnóstico de enfermedades neuromusculares

Abstract

Método para obtener información útil para el diagnóstico de enfermedades neuromusculares. Procedimiento para obtener, a partir de la biopsia de un paciente, nuevos parámetros que permiten diagnosticar de manera objetiva diferentes enfermedades neuromusculares y su grado de afectación al paciente, que comprende: realizar una tinción de la biopsia para resaltar las fibras musculares tipo I, las fibras musculares tipo II y el endomisio; obtener una imagen de la biopsia tras la tinción; segmentar la imagen para identificar los contornos de las fibras musculares; formar una red donde las fibras musculares constituyen nodos y los contactos entre fibras musculares constituyen las uniones entre los nodos; formar un vector característico de la biopsia cuyos elementos se eligen entre parámetros geométricos de las fibras y parámetros de la red construida; y comparar biopsias control y afectas por medio de ACP utilizando en cada caso el vector característico seleccionado.

Servicio Andaluz de Salud, Universidad de Sevilla, Consejo Superior de Investigaciones Científicas (España)

A1 Solicitud de patente con informe sobre el estado de la técnica

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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