Journal article
An automated algorithm for the detection of cortical interruptions and its underlying loss of trabecular bone; A reproducibility study
M Peters, J de Jong, A Scharmga, A van Tubergen, P Geusens, D Loeffen, R Weijers, SK Boyd, C Barnabe, KS Stok, B van Rietbergen, J van den Bergh
BMC Medical Imaging | BMC | Published : 2018
Open access
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 independen..
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Awarded by Stichting De Weijerhorst
Funding Acknowledgements
The study is supported by unrestricted grants from the Weijerhorst foundation (WH-2) and Pfizer (WS2056904). The funders had no role in the design of the study, the collection, analysis and interpretation of the data, and in writing the manuscript.