Quantitative Ultrasound Imaging Pixel Analysis of the Intrinsic Plantar Muscle Tissue between Hemiparesis and Contralateral Feet in Post-Stroke Patients

• Main Authors: Cesar Calvo-Lobo, Ana Isabel Useros-Olmo, Jaime Almazán-Polo, Miriam Martín-Sevilla, Carlos Romero-Morales, Irene Sanz-Corbalán, David Rodríguez-Sanz, Daniel López-López
• Format: Article
• Language: English
• Published: MDPI AG 2018-11-01
• Series: International Journal of Environmental Research and Public Health
• Subjects: anatomy cross-sectional; foot; muscle spasticity; ultrasonography; paresis
• Online Access: https://www.mdpi.com/1660-4601/15/11/2519

Quantitative ultrasound imaging of the muscle tissue may be applied in the neurology field, due to B-mode grayscale pixels values could be used as potential biomarkers for disease progression and intervention effects in poststroke patients. Thus, the study aim was to compare and analyze the ultrasound imaging B-mode pixels differences between the intrinsic plantar muscles cross-sectional area (CSA) in hemiparetic and contralateral feet from poststroke patients by means of the Image J software. A case-control design and a convenience sampling method were used in order to recruit 22 feet from 11 poststroke patients. This total sample was divided into 11 hemiparetic feet and 11 contralateral feet. The Image J software was used in order to evaluate the interface distance, CSA as well as measure the pixels mean, standard deviation (SD) and count from all offline images in the flexor digitorum brevis, abductor hallucis (AbH), and flexor hallucis brevis muscles. Statistically significant differences (<i>p</i> = 0.003) were only shown for the pixels count in the AbH muscle. The rest of outcome measurements did not show any statistically significant difference (<i>p</i> &gt; 0.05). Therefore, B-mode ultrasound imaging Image J software differences for the pixels count reduction were shown in the AbH muscle between hemiparetic and contralateral feet from poststroke patients. Further studies are necessary in order to apply our findings as potential biomarkers during the stroke disease course.