000147793 001__ 147793
000147793 005__ 20251219150012.0
000147793 0247_ $$2doi$$a10.3390/jcm13247800
000147793 0248_ $$2sideral$$a141270
000147793 037__ $$aART-2024-141270
000147793 041__ $$aeng
000147793 100__ $$aAsadi, Borhan
000147793 245__ $$aCharacterizing Muscle Tissue Quality Post-Stroke: Echovariation as a Clinical Indicator
000147793 260__ $$c2024
000147793 5060_ $$aAccess copy available to the general public$$fUnrestricted
000147793 5203_ $$aBackground/Objectives: Strokes remain a major global health concern, contributing significantly to disability and healthcare costs. Currently, there are no established indicators to accurately assess the degree of muscle tissue impairment in stroke-affected individuals. However, ultrasound imaging with an echotexture analysis shows potential as a quantitative tool to assess muscle tissue quality. This study aimed to identify specific echotexture features in the gastrocnemius medialis that effectively characterize muscle impairment in post-stroke individuals. Methods: An observational study was conducted with 22 post-stroke individuals. A total of 21 echotexture features were extracted and analyzed, including first-order metrics, a grey-level co-occurrence matrix, and a grey-level run length matrix. The modified Heckmatt scale was also applied to correlate with the most informative echotexture features. Results: Among the features analyzed, echovariation (EV), echointensity, and kurtosis emerged as the most informative indicators of muscle tissue quality. The EV was highlighted as the primary feature due to its strong and significant correlation with the modified Heckmatt scale (r = −0.81, p < 0.001) and its clinical and technical robustness. Lower EV values were associated with poorer muscle tissue quality, while higher values indicated better quality. Conclusions: The EV may be used as a quantitative indicator for characterizing the gastrocnemius medialis muscle tissue quality in post-stroke individuals, offering a more nuanced assessment than traditional qualitative scales. Future studies should investigate the correlation between the EV and other clinical outcomes and explore its potential to monitor the treatment efficacy, enhancing its applicability in clinical practice.
000147793 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000147793 590__ $$a2.9$$b2024
000147793 592__ $$a0.919$$b2024
000147793 591__ $$aMEDICINE, GENERAL & INTERNAL$$b65 / 332 = 0.196$$c2024$$dQ1$$eT1
000147793 593__ $$aMedicine (miscellaneous)$$c2024$$dQ1
000147793 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000147793 700__ $$aPujol-Fuentes, Clara
000147793 700__ $$aCarcasona-Otal, Alberto$$uUniversidad de Zaragoza
000147793 700__ $$0(orcid)0000-0002-1674-7788$$aCalvo, Sandra$$uUniversidad de Zaragoza
000147793 700__ $$0(orcid)0000-0002-9201-0120$$aHerrero, Pablo$$uUniversidad de Zaragoza
000147793 700__ $$0(orcid)0000-0002-6506-6081$$aLapuente-Hernández, Diego$$uUniversidad de Zaragoza
000147793 7102_ $$11006$$2245$$aUniversidad de Zaragoza$$bDpto. Fisiatría y Enfermería$$cÁrea Educación Física y Depor.
000147793 7102_ $$11006$$2413$$aUniversidad de Zaragoza$$bDpto. Fisiatría y Enfermería$$cÁrea Fisioterapia
000147793 773__ $$g13, 24 (2024), 7800$$pJ. clin.med.$$tJournal of Clinical Medicine$$x2077-0383
000147793 8564_ $$s2709461$$uhttps://zaguan.unizar.es/record/147793/files/texto_completo.pdf$$yVersión publicada
000147793 8564_ $$s2665309$$uhttps://zaguan.unizar.es/record/147793/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000147793 909CO $$ooai:zaguan.unizar.es:147793$$particulos$$pdriver
000147793 951__ $$a2025-12-19-14:58:18
000147793 980__ $$aARTICLE