Please use this identifier to cite or link to this item:
Title: Autofluorescence lifetime augmented reality as a means for real-time robotic surgery guidance in human patients
Authors: Gorpas, DimitrisPhipps, Jennifer E.Bec, JulienMa, DinglongDochow, SebastianYankelevich, Diego R.Sorger, JonathanPopp, JürgenBewley, Arnaud FassettGandour-Edwards, Regina F.Marcu, LauraFarwell, D. Gregory
Publishers Version:
Issue Date: 2019
Published in: Scientific Reports 9 (2019)
Publisher: Berlin : Nature Publishing
Abstract: Due to loss of tactile feedback the assessment of tumor margins during robotic surgery is based only on visual inspection, which is neither significantly sensitive nor specific. Here we demonstrate time-resolved fluorescence spectroscopy (TRFS) as a novel technique to complement the visual inspection of oral cancers during transoral robotic surgery (TORS) in real-time and without the need for exogenous contrast agents. TRFS enables identification of cancerous tissue by its distinct autofluorescence signature that is associated with the alteration of tissue structure and biochemical profile. A prototype TRFS instrument was integrated synergistically with the da Vinci Surgical robot and the combined system was validated in swine and human patients. Label-free and real-time assessment and visualization of tissue biochemical features during robotic surgery procedure, as demonstrated here, not only has the potential to improve the intraoperative decision making during TORS but also other robotic procedures without modification of conventional clinical protocols.
Keywords: TRFS; TORS; robotic surgery
DDC: 610
License: CC BY 4.0 Unported
Link to License:
Appears in Collections:Ingenieurwissenschaften

This item is licensed under a Creative Commons License Creative Commons