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

ABSTRACT: 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.Second and third metacarpophalangeal joints of 21 subjects (mean age 49 (SD 11) years, 17 early rheumatoid arthritis and 4 undifferentiated arthritis, all diagnosed

SUBMITTER: Peters M 

PROVIDER: S-EPMC5952860 | biostudies-other | 2018 May

REPOSITORIES: biostudies-other

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

Peters M M   de Jong J J   Scharmga A A   van Tubergen A A   Geusens P P   Loeffen D D   Weijers R R   Boyd S K SK   Barnabe C C   Stok K S KS   van Rietbergen B B   van den Bergh J J  

BMC medical imaging 20180515 1

<h4>Background</h4>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.<h4>Methods</h4>Second and third metacarpophalangeal joints of 21 subjects (mean age 49 (SD 11) years, 17 early rheumatoid arthritis and 4 undifferentiated arthritis, al  ...[more]