TY - JOUR
T1 - A new sensing paradigm for the vibroacoustic detection of pedicle screw loosening
AU - Seibold, Matthias
AU - Sigrist, Bastian
AU - Götschi, Tobias
AU - Widmer, Jonas
AU - Hodel, Sandro
AU - Farshad, Mazda
AU - Navab, Nassir
AU - Fürnstahl, Philipp
AU - Laux, Christoph J.
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024
Y1 - 2024
N2 - 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 91.50±6.58% and a specificity of 91.10±2.27% for pedicle screw loosening detection. Graphical abstract: (Figure presented.)
AB - 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 91.50±6.58% and a specificity of 91.10±2.27% for pedicle screw loosening detection. Graphical abstract: (Figure presented.)
KW - Computer-assisted diagnosis
KW - Deep learning
KW - Implant loosening detection
KW - Pedicle screw
KW - Spinal fusion surgery
UR - http://www.scopus.com/inward/record.url?scp=85209683933&partnerID=8YFLogxK
U2 - 10.1007/s11517-024-03235-4
DO - 10.1007/s11517-024-03235-4
M3 - Article
AN - SCOPUS:85209683933
SN - 0140-0118
JO - Medical & Biological Engineering & Computing
JF - Medical & Biological Engineering & Computing
ER -