Browsing by Subject "Sonoelastography"

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    Is sonoelastography a helpful method of evaluation to diagnose Sjögren's syndrome?
    (Wiley, 2019-02-01) Pina Frank; Aniorte Alegria Angela; Gálvez Jose; López Jornet, María Pía; Berná Mestre, Juan de Dios; Berná Serna, Juan De Dios; Dermatología, Estomatología, Radiología y Medicina Física; Facultades de la UMU::Facultad de Medicina
    Objective: A new sonoelastography technique – virtual touch tissue quantification of acoustic radiation force impulses (ARFI) – offers a promising method for measuring tissue rigidity. The aim of this study was to assess the usefulness of ARFI for diagnosing Sjögren's syndrome (SS). Methods: This transversal prospective study included 41 patients with SS according to American‐European Consensus Group (AECG) criteria, and a control group without symptoms. All subjects underwent ARFI high‐resolution ultrasound assessment of the parotid glands (PG) and submandibular glands (SMG). Results: In patients with SS, parotid gland shear wave velocity (SWV) was 2.08 m/s ± 0.55, significantly higher than in control subjects (1.2 m/s ± 0.17) (P = 0.0001); submandibular gland SWV was higher in SS patients (2.12 m/s ± 0.44) than control subjects (1.56 m/s ± 0.16) (P = 0.001). Conclusions: Acoustic radiation force impulses sonoelastography can assist diagnosis of SS, and is a non‐invasive and fast method of detecting pathological changes to the parotid and submandibular glands.
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    Sonoelastography for the Assessment of Muscle Changes in Amyotrophic Lateral Sclerosis: Results of a Pilot Study
    (Elsevier, 2018) Martínez Payá, Jacinto Javier; Baño Aledo, María Elena del; Ríos Díaz, José; Fornés Ferrer, Victoria; Vázquez Costa, Juan F.; Fisioterapia
    The purpose of this study was to assess the sonoelastographic features of four different muscles in patients with amyotrophic lateral sclerosis compared with healthy controls and to evaluate the relationship of these features to muscle strength and other ultrasonographic variables. Fourteen patients with amyotrophic lateral sclerosis and 20 controls were examined using strain sonoelastography scanning. The RGB channel fraction ratio was analyzed with ImageJ software (Version 1.48). Two main sonoelastographic patterns could be distinguished in the controls: a clear predominance of the blue channel (hard areas) and a more heterogeneous pattern with predominance of the green channel (intermediate stiffness). These patterns were also observed in patients, although a higher green channel score was observed in mildly impaired muscles, whereas a higher blue channel score was observed in the most severely impaired muscle. Sonoelastography may be a good complementary biomarker in the detection and monitoring of muscle changes in amyotrophic lateral sclerosis.