Assessment of Sonoelastography as Diagnosis Tool of Inflammatory Myopathies

Authors

  • Carolina BOTAR-JID “Iuliu Haţieganu” University of Medicine and Pharmacy Cluj-Napoca, Department of Radiology, 13 Emil Isac Str., 400023 Cluj-Napoca, Romania.
  • Sorana D. BOLBOACĂ “Iuliu Haţieganu” University of Medicine and Pharmacy Cluj-Napoca, Department of Medical Informatics and Biostatistics, 13 Emil Isac Str., 400023 Cluj-Napoca, Romania.
  • Laura DAMIAN Cluj District University Hospital, Department of Rheumatology, Cluj-Napoca, Cluj, Romania.
  • Sorin M. DUDEA “Iuliu Haţieganu” University of Medicine and Pharmacy Cluj-Napoca, Department of Radiology, 13 Emil Isac Str., 400023 Cluj-Napoca, Romania.
  • Cosmin PANTILIE Technical University of Cluj-Napoca, Faculty of Automation and Computer Science, 26-28 G. Baritiu Str., 400027 Cluj-Napoca, Romania
  • Sergiu NEDEVSCHI Technical University of Cluj-Napoca, Faculty of Automation and Computer Science, 26-28 G. Baritiu Str., 400027 Cluj-Napoca, Romania
  • Radu BADEA “Iuliu Haţieganu” University of Medicine and Pharmacy Cluj-Napoca, Department of Medical Imaging, 13 Emil Isac Str., 400023 Cluj-Napoca, Romania.

Keywords:

Receiver Operating Characteristic (ROC) curve, Cutoff value, Dedicated software, Sonoelastography, Inflammatory Myopathies.

Abstract

Background: Inflammatory myopathies represent a special group of pathology. Establishing the correct diagnosis in the early phase and a better follow-up are the main objective for improving the life quality of these patients. Objective: The aim of this research was to assess the usefulness of sonoelastography in diagnosis of inflammatory myopathies. Material and Method: A prospective longitudinal study with a control group was carried out in the Radio-Imaging Department, Cluj-Napoca District University Hospital, Romania, from May 2007 to July 2010. Measurements: Image Processing 2.8 software was used to analyze the elastographic images in correlation with clinical and biochemical data was used. Results: Analysis of Receiver Operating Characteristic curves statistics for elastography parameters showed significant values for the following parameters: average green color, average blue color, average intensity of color, dispersion of red, dispersion of green, and dispersion of hue. Conclusions: Our study highlighted the utility of some elastography parameters in the diagnosis of inflammatory myopathies; the parameter proved to be statistically different in case group compared to control. Anyway, standardization of sonoelastography and larger studies are required to ensure accurate diagnosis, reproductibility and reliability.

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How to Cite

1.
BOTAR-JID C, BOLBOACĂ SD, DAMIAN L, DUDEA SM, PANTILIE C, NEDEVSCHI S, BADEA R. Assessment of Sonoelastography as Diagnosis Tool of Inflammatory Myopathies. Appl Med Inform [Internet]. 2011 Jan. 18 [cited 2024 Apr. 24];27(4):81-9. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/26

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