An automated algorithm for the detection of cortical interruptions and its underlying loss of trabecular bone; a reproducibility study

  • Michiel P.H. Peters (Contributor)
  • Joost J.A. de Jong (Maastricht University Medical Center) (Contributor)
  • Andrea Scharmga (Contributor)
  • Astrid M. van Tubergen (Contributor)
  • Piet P.M.M. Geusens (Contributor)
  • Daan Loeffen (Contributor)
  • René E. Weijers (Contributor)
  • Steven K. Boyd (Contributor)
  • Cheryl C. Barnabe (Contributor)
  • Kathryn S. Stok (Contributor)
  • Bert van Rietbergen (Contributor)
  • Joop P. van den Bergh (Contributor)

Dataset

Description

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
Date made available15 May 2018
PublisherFigshare

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