A new sensing paradigm for the vibroacoustic detection of pedicle screw loosening
The current clinical gold standard to assess the condition and detect loosening of pedicle screw implants is radiation-emitting medical imaging. However, solely based on medical imaging, clinicians are not able to reliably identify loose implants in a substantial amount of cases. To complement medical imaging for pedicle screw loosening detection, we propose a new methodology and paradigm for the radiation-free, non-destructive, and easy-to-integrate loosening detection based on vibroacoustic sensing. For the detection of a loose implant, we excite the vertebra of interest with a sine sweep vibration at the spinous process and use a custom highly sensitive piezo vibration sensor attached directly at the screw head to capture the propagated vibration characteristics which are analyzed using a detection pipeline based on spectrogram features and a SE-ResNet-18. To validate the proposed approach, we propose a novel, biomechanically validated simulation technique for pedicle screw loosening, conduct experiments using four human cadaveric lumbar spine specimens, and evaluate our algorithm in a cross-validation experiment. The proposed method reaches a sensitivity of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mn>91.50</mml:mn> <mml:mo>±</mml:mo> <mml:mn>6.58</mml:mn> <mml:mo>%</mml:mo></mml:mrow> </mml:math> and a specificity of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mn>91.10</mml:mn> <mml:mo>±</mml:mo> <mml:mn>2.27</mml:mn> <mml:mo>%</mml:mo></mml:mrow> </mml:math> for pedicle screw loosening detection.
Authors
- Jonas Widmer (ORCID: https://orcid.org/0000-0003-3676-008X)
- Bastian Sigrist (ORCID: https://orcid.org/0000-0002-7720-1420)
- Mazda Farshad (ORCID: https://orcid.org/0000-0002-7190-1127)
- Nassir Navab (ORCID: https://orcid.org/0000-0002-6032-5611)
- Matthias Seibold (ORCID: https://orcid.org/0000-0002-9960-3244)
- Tobias Götschi (ORCID: https://orcid.org/0000-0002-1641-6401)
- Sandro Hodel (ORCID: https://orcid.org/0000-0003-1521-2527)
- Philipp Fürnstahl (ORCID: https://orcid.org/0000-0001-6484-6206)
- Christoph Johannes Laux (ORCID: https://orcid.org/0000-0002-5446-3057)
Institutions
- University of Zurich (CH)
- ETH Zurich (CH)
- Universitätsklinik Balgrist (CH)
- Technical University of Munich (DE)
Publication Details
- Journal
- Medical & Biological Engineering & Computing
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1007/s11517-024-03235-4
- Citations
- 1
- Primary Topic
- Phonocardiography and Auscultation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.42
Funders
- Universität Zürich