Autofluorescence lifetime augmented reality as a means for real-time robotic surgery guidance in human patients.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
04 02 2019
Historique:
received: 30 11 2017
accepted: 27 11 2018
entrez: 6 2 2019
pubmed: 6 2 2019
medline: 20 8 2020
Statut: epublish

Résumé

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.

Identifiants

pubmed: 30718542
doi: 10.1038/s41598-018-37237-8
pii: 10.1038/s41598-018-37237-8
pmc: PMC6362025
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1187

Subventions

Organisme : NCI NIH HHS
ID : R01 CA187427
Pays : United States

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Auteurs

D Gorpas (D)

Department of Biomedical Engineering, University of California Davis, Davis, CA, USA.
Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, Germany.

J Phipps (J)

Department of Biomedical Engineering, University of California Davis, Davis, CA, USA.

J Bec (J)

Department of Biomedical Engineering, University of California Davis, Davis, CA, USA.

D Ma (D)

Department of Biomedical Engineering, University of California Davis, Davis, CA, USA.

S Dochow (S)

Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Jena, Germany.
Leibniz Institute of Photonic Technology e.V., Jena, Germany.
Jena Optronik, Jena, Germany.

D Yankelevich (D)

Department of Biomedical Engineering, University of California Davis, Davis, CA, USA.
Department of Electrical and Computer Engineering, University of California Davis, Davis, CA, USA.

J Sorger (J)

Intuitive Surgical, Sunnyvale, CA, USA.

J Popp (J)

Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Jena, Germany.
Leibniz Institute of Photonic Technology e.V., Jena, Germany.

A Bewley (A)

Department of Otolaryngology-Head and Neck Surgery, University of California Davis, Sacramento, CA, USA.

R Gandour-Edwards (R)

Department of Pathology and Laboratory Medicine, University of California Davis, Sacramento, CA, USA.

L Marcu (L)

Department of Biomedical Engineering, University of California Davis, Davis, CA, USA. lmarcu@ucdavis.edu.

D G Farwell (DG)

Department of Otolaryngology-Head and Neck Surgery, University of California Davis, Sacramento, CA, USA. dgfarwell@ucdavis.edu.

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Classifications MeSH