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Proceedings Paper

Semi-automatic computerized approach to radiological quantification in rheumatoid arthritis
Author(s): Wolfgang Steiner; Sylvia Schoeffmann; Andrea Prommegger; Karl Boegl; Thomas Klinger; Philipp Peloschek; Franz Kainberger
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Paper Abstract

Rheumatoid Arthritis (RA) is a common systemic disease predominantly involving the joints. Precise diagnosis and follow-up therapy requires objective quantification. For this purpose, radiological analyses using standardized scoring systems are considered to be the most appropriate method. The aim of our study is to develop a semi-automatic image analysis software, especially applicable for scoring of joints in rheumatic disorders. The X-Ray RheumaCoach software delivers various scoring systems (Larsen-Score and Ratingen-Rau-Score) which can be applied by the scorer. In addition to the qualitative assessment of joints performed by the radiologist, a semi-automatic image analysis for joint detection and measurements of bone diameters and swollen tissue supports the image assessment process. More than 3000 radiographs from hands and feet of more than 200 RA patients were collected, analyzed, and statistically evaluated. Radiographs were quantified using conventional paper-based Larsen score and the X-Ray RheumaCoach software. The use of the software shortened the scoring time by about 25 percent and reduced the rate of erroneous scorings in all our studies. Compared to paper-based scoring methods, the X-Ray RheumaCoach software offers several advantages: (i) Structured data analysis and input that minimizes variance by standardization, (ii) faster and more precise calculation of sum scores and indices, (iii) permanent data storing and fast access to the software’s database, (iv) the possibility of cross-calculation to other scores, (v) semi-automatic assessment of images, and (vii) reliable documentation of results in the form of graphical printouts.

Paper Details

Date Published: 19 April 2004
PDF: 9 pages
Proc. SPIE 5371, Medical Imaging 2004: PACS and Imaging Informatics, (19 April 2004); doi: 10.1117/12.535321
Show Author Affiliations
Wolfgang Steiner, Carinthia Tech Institute (Austria)
Sylvia Schoeffmann, Carinthia Tech Institute (Austria)
Andrea Prommegger, Carinthia Tech Institute (Austria)
Karl Boegl, Carinthia Tech Institute (Austria)
Thomas Klinger, Carinthia Tech Institute (Austria)
Philipp Peloschek, Univ. of Vienna (Austria)
Franz Kainberger, Univ. of Vienna (Austria)


Published in SPIE Proceedings Vol. 5371:
Medical Imaging 2004: PACS and Imaging Informatics
Osman M. Ratib; H. K. Huang, Editor(s)

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