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Feasibility of opportunistic osteoporosis screening in routine contrast-enhanced Multi-Detector Computed Tomography using texture analysis

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review

DOI

  • Muthu Rama Krishnan Mookiah, Singapore University of Technology and Design, Singapore
  • A. Rohrmeier, Technical University of Munich, Klinikum Landshut Achdorf
    • ,
  • Michael Dieckmeyer, Technical University of Munich
    • ,
  • Kai Mei, Technical University of Munich
    • ,
  • Felix K. Kopp, Technical University of Munich
    • ,
  • Peter B. Noël, Technical University of Munich
    • ,
  • Jan S. Kirschke , Technical University of Munich
    • ,
  • Thomas Baum, Technical University of Munich
    • ,
  • Subburaj Karupppasamy

Summary: This study investigated the feasibility of opportunistic osteoporosis screening in routine contrast-enhanced MDCT exams using texture analysis. The results showed an acceptable reproducibility of texture features, and these features could discriminate healthy/osteoporotic fracture cohort with an accuracy of 83%. Introduction: This aim of this study is to investigate the feasibility of opportunistic osteoporosis screening in routine contrast-enhanced MDCT exams using texture analysis. Methods: We performed texture analysis at the spine in routine MDCT exams and investigated the effect of intravenous contrast medium (IVCM) (n = 7), slice thickness (n = 7), the long-term reproducibility (n = 9), and the ability to differentiate healthy/osteoporotic fracture cohort (n = 9 age and gender matched pairs). Eight texture features were extracted using gray level co-occurrence matrix (GLCM). The independent sample t test was used to rank the features of healthy/fracture cohort and classification was performed using support vector machine (SVM). Results: The results revealed significant correlations between texture parameters derived from MDCT scans with and without IVCM (r up to 0.91) slice thickness of 1 mm versus 2 and 3 mm (r up to 0.96) and scan-rescan (r up to 0.59). The performance of the SVM classifier was evaluated using 10-fold cross-validation and revealed an average classification accuracy of 83%. Conclusions: Opportunistic osteoporosis screening at the spine using specific texture parameters (energy, entropy, and homogeneity) and SVM can be performed in routine contrast-enhanced MDCT exams.

OriginalsprogEngelsk
TidsskriftOsteoporosis International
Vol/bind29
Nummer4
Sider (fra-til)825-835
Antal sider11
ISSN0937-941X
DOI
StatusUdgivet - 2018
Eksternt udgivetJa

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