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.

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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

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article

A new sensing paradigm for the vibroacoustic detection of pedicle screw loosening

Jonas Widmer, Bastian Sigrist, Mazda Farshad, Nassir Navab et al.
1 citations
Medical & Biological Engineering & Computing
Phonocardiography and Auscultation Techniques
0.42
article

A new sensing paradigm for the vibroacoustic detection of pedicle screw loosening

Jonas Widmer, Bastian Sigrist, Mazda Farshad, Nassir Navab, Matthias Seibold, Tobias Götschi, Sandro Hodel, Philipp Fürnstahl, Christoph Johannes Laux
article en
1 citations

Abstract

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.

Medical & Biological Engineering & ComputingVol. 63(4)
University of Zurich (CH), ETH Zurich (CH), Universitätsklinik Balgrist (CH), Technical University of Munich (DE)
Universität Zürich
Openalex Percentile: Top 31%
Phonocardiography and Auscultation Techniques
0.42
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