Key result
Laser Doppler vibrometry spectral entropy outperforms other features for detecting severe carotid stenosis in vitro.
Why the study?
Carotid stenosis is a leading cause of stroke, and population-wide screening could benefit from a portable, user-friendly device like Laser Doppler vibrometry instead of duplex ultrasound.
Does Laser Doppler vibrometry accurately detect severe stenosis compared to duplex ultrasound in an in-vitro model?
Does Laser Doppler vibrometry accurately detect severe stenosis compared to duplex ultrasound in an in-vitro model?
Spectral entropy derived from Laser Doppler vibrometry shows promise as a potential portable screening tool for detecting severe stenosis in an in-vitro model.
Does not yet change screening practice; leaves open clinical translation of vibrometry-based stenosis detection.
Stroke is a major cause of morbidity and mortality worldwide with carotid stenosis established as one of its leading culprits. Clinical practice relies primarily on duplex ultrasound (DUS) for the diagnosis of carotid stenosis due to its several advantages over existing modalities. Nevertheless, population-wide screening could benefit from a portable, and user-friendly device. In the context of assessing the potential of Laser Doppler vibrometer (LDV) for stenosis screening, this study aims at exploring and evaluating the performance of several spectral features that best relate to severe stenosis. An in-vitro setup has been employed for the current investigation with stenosis degree determined using a clamp. Progressive clamping and broadening observed in DUS spectra were considered as references indicating the occurrence and increase in flow instability due to the (increasing) stenosis. We recorded 3 cm downstream of the stenosis, inside-tube DUS spectra as well as direct wall vibration spectra by LDV for several graded constrictions. We investigated 10 distinct spectral features to capture spectral broadening. Present findings showed overall broader spectra for stenosis compared to control measurements, with broadening being proportional to stenosis degree. Spectral entropy - reflecting the spectral irregularity and the shift in the frequency content of LDV signal toward higher frequencies - exhibited superior performance over the other spectral features for indicating the presence of severe stenosis.
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Malik et al. (2024) studied Carotid stenosis. Laser Doppler vibrometer (LDV) spectral features vs. Control measurements (no stenosis) and duplex ultrasound (DUS) was evaluated on Performance of spectral features to capture spectral broadening and indicate severe stenosis. In an in-vitro model of carotid stenosis, spectral entropy from Laser Doppler vibrometry exhibited superior performance over other spectral features for indicating the presence of severe stenosis.
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