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.

Downloads

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 Jun. 17];27(4):81-9. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/26

Issue

Section

Articles