Evidence map›Paper›PMID 35397108›Full record

ArticleJournal of robotic surgery2023

Click-on fluorescence detectors: using robotic surgical instruments to characterize molecular tissue aspects.

Matthias N van Oosterom, Sven I van Leeuwen, Elio Mazzone, Paolo Dell'Oglio, Tessa Buckle, Florian van Beurden, Michael Boonekamp, Huybert van de Stadt, Kevin Bauwens, Hervé Simon and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of robotic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 38% of its field
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
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

13 authors at 5 institutions in 4 countries.

Matthias N van Oosterom *Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Sven I van Leeuwen *Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Elio MazzoneDepartment of Urology and Division of Experimental Oncology, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Paolo Dell'OglioInterventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Tessa BuckleInterventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Florian van BeurdenInterventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Michael BoonekampDesign & Prototyping, Department of Medical Technology, Leiden University Medical Center, Leiden, The Netherlands.
Huybert van de StadtDesign & Prototyping, Department of Medical Technology, Leiden University Medical Center, Leiden, The Netherlands.
Kevin BauwensORSI Academy, Melle, Belgium.
Hervé SimonEurorad, Eckbolsheim, France.
Pim J van LeeuwenDepartment of Urology, Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Henk G van der PoelDepartment of Urology, Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands.
Fijs W B van LeeuwenInterventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands. f.w.b.van_leeuwen@lumc.nl.ORCID http://orcid.org/0000-0002-6844-4025
Leiden University Medical Center · NLThe Netherlands Cancer Institute · NLEurorad (France) · FRIstituti di Ricovero e Cura a Carattere Scientifico · ITORSI Academy · BE

Funding

Stichting voor de Technische Wetenschappen VICI TTW 16141
6 · The paper itself

Abstract

Fluorescence imaging is increasingly being implemented in surgery. One of the drawbacks of its application is the need to switch back-and-forth between fluorescence- and white-light-imaging settings and not being able to dissect safely under fluorescence guidance. The aim of this study was to engineer 'click-on' fluorescence detectors that transform standard robotic instruments into molecular sensing devices that enable the surgeon to detect near-infrared (NIR) fluorescence in a white-light setting. This NIR-fluorescence detector setup was engineered to be press-fitted onto standard forceps instruments of the da Vinci robot. Following system characterization in a phantom setting (i.e., spectral properties, sensitivity and tissue signal attenuation), the performance with regard to different clinical indocyanine green (ICG) indications (e.g., angiography and lymphatic mapping) was determined via robotic surgery in pigs. To evaluate in-human applicability, the setup was also used for ICG-containing lymph node specimens from robotic prostate cancer surgery. The resulting Click-On device allowed for NIR ICG signal identification down to a concentration of 4.77 × 10

Indexed as

RoboticsRobotic Surgical ProceduresAnimalsHumansIndocyanine GreenLymph NodesMaleSentinel Lymph Node BiopsySurgical InstrumentsSwineIndocyanine GreenBiosensingFluorescence guided surgeryImage-guided surgeryNear-infraredRobotic surgerySteerable surgical instruments

Identifiers

PMID35397108
PMCPMC9939496
OpenAlexW4223507904

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.