2 research outputs found
Cable-driven parallel robot for transoral laser phonosurgery
Transoral laser phonosurgery (TLP) is a common surgical procedure in otolaryngology.
Currently, two techniques are commonly used: free beam and fibre delivery. For free beam
delivery, in combination with laser scanning techniques, accurate laser pattern scanning can
be achieved. However, a line-of-sight to the target is required. A suspension laryngoscope is
adopted to create a straight working channel for the scanning laser beam, which could
introduce lesions to the patient, and the manipulability and ergonomics are poor. For the fibre
delivery approach, a flexible fibre is used to transmit the laser beam, and the distal tip of the
laser fibre can be manipulated by a flexible robotic tool. The issues related to the limitation
of the line-of-sight can be avoided. However, the laser scanning function is currently lost in
this approach, and the performance is inferior to that of the laser scanning technique in the
free beam approach.
A novel cable-driven parallel robot (CDPR), LaryngoTORS, has been developed for TLP.
By using a curved laryngeal blade, a straight suspension laryngoscope will not be necessary
to use, which is expected to be less traumatic to the patient. Semi-autonomous free path
scanning can be executed, and high precision and high repeatability of the free path can be
achieved. The performance has been verified in various bench and ex vivo tests. The technical
feasibility of the LaryngoTORS robot for TLP was considered and evaluated in this thesis.
The LaryngoTORS robot has demonstrated the potential to offer an acceptable and feasible
solution to be used in real-world clinical applications of TLP.
Furthermore, the LaryngoTORS robot can combine with fibre-based optical biopsy
techniques. Experiments of probe-based confocal laser endomicroscopy (pCLE) and
hyperspectral fibre-optic sensing were performed. The LaryngoTORS robot demonstrates the
potential to be utilised to apply the fibre-based optical biopsy of the larynx.Open Acces