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dc.contributor.authorMartínez Payá, Jacinto Javier
dc.contributor.otherRíos Díaz, José
dc.contributor.otherMedina Mirapeix, Francesc
dc.contributor.otherVázquez Costa, Juan Francisco
dc.contributor.otherTembl Ferrairó, José
dc.contributor.otherBaño Aledo, María Elena
dc.date.accessioned2017-05-03T15:00:31Z
dc.date.available2017-05-03T15:00:31Z
dc.date.issued2017
dc.identifier.issn0161-7346
dc.identifier.urihttp://hdl.handle.net/10952/2279
dc.description.abstractBackground: To analyze differences in grey level co-ocurrence matrix (GLCM) parameters, as assessed by muscle ultrasound (MUS), between amyotrophic lateral sclerosis (ALS) patients and healthy controls. To compare the diagnostic accuracy of these GLCM parameters with first order MUS parameters (echointensity, EI; echovariation, EV; and muscle thickness, MTh) in different muscle groups. Methods: Twenty-six patients with ALS and twenty-six healthy subjects underwent bilateral and transverse ultrasound of the biceps/brachialis, forearm flexor, quadriceps femoris and tibialis anterior muscle groups. MTh was measured with electronic callipers and EI, EV and GLCM were obtained using Image J (v.1.48) software. Sensitivity, specificity, likelihood ratios and area under the curve (AUC) were performed by logistic regression models and ROCcurves. Results: GLCM parameters showed reduced granularity in the muscles of ALS patients compared with the controls. Regarding the discrimination capacity, the best single diagnostic parameter in forearm flexors and quadriceps was GLCM and in biceps brachialis and tibialis anterior was EV. The respective combination of these two parameters with MTh resulted in the best AUC (over 90% in all muscle groups and close to the maximum combination model). Conclusions: The use of new textural parameters (EV and GLCM) combined with usual quantitative MUS variables are a promising biomarker in ALS.es
dc.description.sponsorshipUniversidad Católica de Murcia.es
dc.language.isoenes
dc.publisherSAGEes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectAmyotrophic lateral sclerosises
dc.subjectBiomarkerses
dc.subjectArea under the curvees
dc.subjectSensitivityes
dc.subjectEspecificityes
dc.subjectTextural analysises
dc.subjectMuscle characterizationes
dc.subjectUltrasonographyes
dc.titleQuantitative muscle ultrasonography using textural analysis in amyotrophic lateral sclerosises
dc.typearticlees
dc.rights.accessRightsopenAccesses
dc.journal.titleUltrasonic Imaginges
dc.description.disciplineMedicinaes
dc.description.disciplineTerapia y Rehabilitaciónes


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional