IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i24p9282-d460628.html
   My bibliography  Save this article

Trabecular Bone Assessment Using Magnetic-Resonance Imaging: A Pilot Study

Author

Listed:
  • Lauren Bohner

    (Department of Cranio-Maxillofacial Surgery, University Hospital Muenster, 48149 Muenster, Germany
    Department of Prosthodontics, School of Dentistry, University of São Paulo, São Paulo 0508-000, Brazil)

  • Pedro Tortamano

    (Department of Prosthodontics, School of Dentistry, University of São Paulo, São Paulo 0508-000, Brazil)

  • Norbert Meier

    (Institute of Clinical Radiology, University Clinics Muenster, 48149 Muenster, Germany)

  • Felix Gremse

    (Department of Experimental Molecular Imaging, Helmholtz Institute, RWTH Aachen University, 52074 Aachen, Germany)

  • Johannes Kleinheinz

    (Department of Cranio-Maxillofacial Surgery, University Hospital Muenster, 48149 Muenster, Germany)

  • Marcel Hanisch

    (Department of Cranio-Maxillofacial Surgery, University Hospital Muenster, 48149 Muenster, Germany)

Abstract

The aim of this study was to assess trabecular bone morphology via magnetic-resonance imaging (MRI) using microcomputed tomography (µCT) as the control group. Porcine bone samples were scanned with T1-weighted turbo spin echo sequence imaging, using TR 25 ms, TE 3.5 ms, FOV 100 × 100 × 90, voxel size 0.22 × 0.22 × 0.50 mm, and scan time of 11:18. µCT was used as the control group with 80 kV, 125 mA, and a voxel size of 16 µm. The trabecular bone was segmented on the basis of a reference threshold value and morphological parameters. Bone volume (BV), Bone-volume fraction (BvTv), Bone specific surface (BsBv), trabecular thickness (TbTh), and trabecular separation (TbSp) were evaluated. Paired t -test and Pearson correlation test were performed at p = 0.05. MRI overestimated BV, BvTv, TbTh, and TbSp values. BsBv was the only parameter that was underestimated by MRI. High statistical correlation (r = 0.826; p < 0.05) was found for BV measurements. Within the limitations of this study, MRI overestimated trabecular bone parameters, but with a statistically significant fixed linear offset.

Suggested Citation

  • Lauren Bohner & Pedro Tortamano & Norbert Meier & Felix Gremse & Johannes Kleinheinz & Marcel Hanisch, 2020. "Trabecular Bone Assessment Using Magnetic-Resonance Imaging: A Pilot Study," IJERPH, MDPI, vol. 17(24), pages 1-7, December.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:24:p:9282-:d:460628
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/24/9282/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/24/9282/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:24:p:9282-:d:460628. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.