Evidence map›Paper›PMID 30718542›Full record

ArticleScientific reports2019

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

D Gorpas, J Phipps, J Bec, D Ma, S Dochow, D Yankelevich, J Sorger, J Popp, A Bewley, R Gandour-Edwards and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Metaverse Wearables for Immersive Digital Healthcare: A Review.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  14. Article
  15. FLIm-Based in Vivo Classification of Residual Cancer in the Surgical Cavity During Transoral Robotic Surgery.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2023
    Article
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  19. Autofluorescence Image-Guided Endoscopy in the Management of Upper Aerodigestive Tract Tumors.International journal of environmental research and public health · 2022
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

D GorpasDepartment of Biomedical Engineering, University of California Davis, Davis, CA, USA.ORCID 0000-0001-9576-8087
J PhippsDepartment of Biomedical Engineering, University of California Davis, Davis, CA, USA.
J BecDepartment of Biomedical Engineering, University of California Davis, Davis, CA, USA.ORCID 0000-0003-1222-4071
D MaDepartment of Biomedical Engineering, University of California Davis, Davis, CA, USA.
S DochowInstitute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Jena, Germany.
D YankelevichDepartment of Biomedical Engineering, University of California Davis, Davis, CA, USA.
J SorgerIntuitive Surgical, Sunnyvale, CA, USA.
J PoppInstitute of Physical Chemistry and Abbe Center of Photonics, Friedrich-Schiller University Jena, Jena, Germany.
A BewleyDepartment of Otolaryngology-Head and Neck Surgery, University of California Davis, Sacramento, CA, USA.
R Gandour-EdwardsDepartment of Pathology and Laboratory Medicine, University of California Davis, Sacramento, CA, USA.
L MarcuDepartment of Biomedical Engineering, University of California Davis, Davis, CA, USA. lmarcu@ucdavis.edu.
D G FarwellDepartment of Otolaryngology-Head and Neck Surgery, University of California Davis, Sacramento, CA, USA. dgfarwell@ucdavis.edu.

Funding

Fluorescence Lifetime Imaging/Spectroscopy System For Robotic Cancer Surgery GuidanceR01CA187427 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BIRKELAND, ANDREW CHARLES, MARCU, LAURA · 2014 to 2025
$4.6M
NCI NIH HHS R01 CA187427
6 · The paper itself

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.

Indexed as

AdultAnimalsAugmented RealityFemaleHumansMaleMouth NeoplasmsOptical ImagingRoboticsRobotic Surgical ProceduresSpectrometry, FluorescenceSwine

Identifiers

PMID30718542
PMCPMC6362025

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.