title: [Computer-supported tissue characterization in musculoskeletal ultrasonography].
abstract: A new diagnostic system combining conventional gray-scale ultrasonography (US) and computer-assisted texture analysis of sonograms makes it possible to differentiate more easily between specific neuromuscular diseases. The first step involves myosonography with strictly standardized US. In a group of 72 patients with histologically and molecular-genetically confirmed diagnosis 63 patients (88%) were diagnosed by conventional US as having Duchenne's muscular dystrophy, spinal muscular atrophy, hereditary sensomotor neuropathy or inflammatory myopathy. Secondly, in a double blind setting computer-assisted texture analysis was used on the same sample of subjects. Tissue Texture can be characterized by the brightness as well as the micro- and macro-structure of the tissue. The use of these parameters leads to a sensitivity of 77 to 94% and a specificity of 81 to 98%. In conclusion, the combination of both techniques allows us to avoid invasive diagnostic procedures in a substantial group of patients.
authors.affiliation: Institut für Simulation und Graphik, Otto-von-Guericke-Universität Magdeburg.
authors.forename: R
authors.initials: R
authors.lastname: Pohle
authors.forename: D
authors.initials: D
authors.lastname: Fischer
authors.forename: L
authors.initials: L
authors.lastname: von Rohden
mesh_terms: D003936:Diagnosis, Computer-Assisted; D015417:Hereditary Sensory and Motor Neuropathy / Q000000981:diagnostic imaging*; D006801:Humans; D009134:Muscular Atrophy, Spinal / Q000000981:diagnostic imaging*; D009135:Muscular Diseases / Q000000981:diagnostic imaging*; D020388:Muscular Dystrophy, Duchenne / Q000000981:diagnostic imaging*; D014463:Ultrasonography
vernacular_title: Computerunterstützte Gewebedifferenzierung bei der Skelettmuskelsonographie.