FRI0539 Reliability of A Semi-Automatic Algorithm in The Detection of Cortical Breaks in Finger Joints Using High Resolution Peripheral Quantitative CT. (15th July 2016)

• Record Type: Journal Article
• Authors: Peters, M.; Scharmga, A.; de Jong, J.; van Tubergen, A.; Weijers, R.; Loeffen, D.; van Rietbergen, B.; van den Bergh, J.; Geusens, P.
• Is Part Of: Annals of the rheumatic diseases. Volume 75(2016)Supplement 2
• Page Start: 635
• Page End: 635
• Publication Date: 2016-07-15
• Subjects: Rheumatism -- Periodicals; 616.723005
• DOI: 10.1136/annrheumdis-2016-eular.1714
• Languages: English
• ISSNs: 0003-4967

Abstract

Abstract : Background: Conventional radiography (CR) is considered the gold standard for diagnosis and monitoring of erosions in rheumatoid arthritis (RA). However, CR is less sensitive in the detection of erosions than high resolution peripheral quantitative CT (HR-pQCT) in hand joints (1). The visual scoring of these erosions is, however, laborious. Therefore an automatic method could be timesaving. We previously developed a semi-automatic algorithm for HR-pQCT that is able to detect cortical breaks. However, the intra-operator reliability of our algorithm was not yet tested on the joint level for different break sizes, and neither on a single break level. Objectives: To test the intra-operator reliability of the algorithm on HR-pQCT images on the joint level and on a single break level for different break sizes. Methods: Nineteen finger joints of ten human female cadaveric index fingers (mean age ± SD; 85.1 ± 9.6 years) with unknown medical history were imaged by HR-pQCT (82μm voxel size). A semi-automatic algorithm was developed for the detection of cortical breaks, taking into account various break sizes. First, the automatically detected contours were manually adapted twice by the same operator several weeks apart. Second, bone within 0.25mm from this contour was selected as the cortical region. Last, different sizes for defining a cortical break (>0.50mm, >0.66mm and >0.82mm) were applied. Breaks that were detected by the algorithm using both contours, and overlapped with at least 30 voxels were counted as matching breaks. The proportion of matching breaks was calculated as a measure of reliability for a single break. Intraclass correlation coefficients (ICCs) were calculated as a measure of reliability on the joint level. Results: The number of breaks depended on the chosen break size, and varied between 2.4 and 14.2 per joint. The locations of the detected breaks from the first and second time contouring generally corresponded well for all break sizes (Fig. 1 ). The agreement on a single break level was substantial for all break sizes (≥67.7%), with the highest agreement for breaks >0.66mm (80.9%).The agreement on the joint level was high for all break sizes (ICC≥.84, p<0.01) and excellent for breaks >0.66mm (ICC ≥.95, p<0.01) (table 1 ). Conclusions: The intra-operator reliability of the algorithm was excellent at the joint level and very good of the single break detection for all break sizes. Therefore, the use of HR-pQCT in combination with our semi-automatic algorithm is a promising tool for early detection and monitoring of the number of small cortical breaks in finger joints. References: Stach et al., A&R.2010 Feb; 62(2):330–339 Disclosure of Interest: M. Peters: None declared, A. Scharmga: None declared, J. de Jong: None declared, A. van Tubergen: None declared, R. Weijers: None declared, D. Loeffen: None declared, B. van Rietbergen Consultant for: Scanco Medical AG, J. van den Bergh: None declared, P. Geusens: None declared