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Title: | An automated algorithm for the detection of cortical interruptions and its underlying loss of trabecular bone; a reproducibility study | Authors: | Peters, Martijn de Jong, J. Scharmga, Andrea van Tubergen, Astrid GEUSENS, Piet Loeffen, Daan Weijers, René Boyd, S. K. Barnabe, C. Stok, K. S. van Rietbergen, Bert VAN DEN BERGH, Joop |
Issue Date: | 2018 | Source: | BMC MEDICAL IMAGING, 18 (Art N° 13) | Abstract: | Background: We developed a semi-automated algorithm that detects cortical interruptions in finger joints using high-resolution peripheral quantitative computed tomography (HR-pQCT), and extended it with trabecular void volume measurement In this study we tested the reproducibility of the algorithm using scan/re-scan data. Methods: Second and third metacarpophalangeal joints of 21 subjects (mean age 49 (SD 11) years, 17 early rheumatoid arthritis and 4 undifferentiated arthritis, all diagnosed < 1 year ago) were imaged twice by HR-pQCT on the same day with repositioning between scans. The images were analyzed twice by one operator (OP1) and once by an additional operator (OP2), who independently corrected the bone contours when necessary. The number, surface and volume of interruptions per joint were obtained. Intra- and inter-operator reliability and intra-operator reproducibility were determined by intra-class correlation coefficients (ICC). Intra-operator reproducibility errors were determined as the least significant change (LSCSD). Results: Per joint, the mean number of interruptions was 3.1 (SD 3.6), mean interruption surface 4.2 (SD 7.2) mm(2), and mean interruption volume 3.5 (SD 10.6) mm(3) for OP1. Intra- and inter-operator reliability was excellent for the cortical interruption parameters (ICC >= 0.91), except good for the inter-operator reliability of the interruption surface (ICC >= 0.70). The LSCSD per joint was 4.2 for the number of interruptions, 5.8 mm(2) for interruption surface, and 3. 2 mm(3) for interruption volume. Conclusions: The algorithm was highly reproducible in the detection of cortical interruptions and their volume. Based on the LSC findings, the potential value of this algorithm for monitoring structural damage in the joints in early arthritis patients needs to be tested in clinical studies. | Notes: | Peters, M (reprint author), Maastricht Univ, Div Rheumatol, Dept Internal Med, Med Ctr, POB 5800, NL-6202 AZ Maastricht, Netherlands.michiel. peters@maastrichtuniversity.nl | Keywords: | image processing; precision; cortical interruptions; rheumatoid arthritis; high resolution peripheral quantitative computed tomography; bone micro architecture | Document URI: | http://hdl.handle.net/1942/26429 | ISSN: | 1471-2342 | e-ISSN: | 1471-2342 | DOI: | 10.1186/s12880-018-0255-7 | ISI #: | 000432746600002 | Rights: | © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2019 |
Appears in Collections: | Research publications |
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peters 1.pdf | Published version | 2.42 MB | Adobe PDF | View/Open |
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