Evidence map›Paper›PMID 41251786›Full record

ArticleSurgical endoscopy2025

Telestration with augmented reality in minimally invasive and robotic-assisted surgery: a scoping review.

Amila Cizmic, Frida Häberle, Anas A Preukschas, Laetitia Hampe, Vasile Bintintan, Thilo Hackert, Manish Chand, Felix Nickel

Abstract readScoping Review
PubMed Full text at PMC Publisher
In one paragraph

Article in Surgical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

8 authors.

Amila Cizmic *Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Frida Häberle *Department of General, Visceral, and Transplantation Surgery, University Hospital Heidelberg, Heidelberg, Germany.
Anas A PreukschasDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Laetitia HampeDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Vasile BintintanDepartment of Surgery, University Hospital Cluj Napoca, Cluj-Napoca Napoca, Romania.
Thilo HackertDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Manish ChandDivision of Surgery and Interventional Science, University College London, London, UK.
Felix NickelDepartment of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. f.nickel@uke.de.ORCID http://orcid.org/0000-0001-6066-8238

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMinimally Invasive Surgery (MIS) and Robotic-Assisted Surgery (RAS) offer advantages over open surgery, including smaller incisions and quicker recovery. However, the learning curve in MIS and RAS presents several challenges, primarily due to their reliance on verbal instructions. MIS and RAS training is continually evolving, with new educational and simulation models emerging in recent years. Telestration, combined with augmented reality (AR), enables annotating videos and images as active feedback during surgery. These modalities have been used in the operating room to highlight anatomical structures, aiding visual communication and reinforcing verbal communication in MIS and RAS. This study aimed to provide a scoping review of the use, current applications, and development of telestration and with AR in MIS and RAS.

methodsA scoping review was conducted using the Joanna Briggs Institute methodology and the PRISMA extension for scoping reviews (PRISMA-ScR) 2018 statement and recommendations. Two researchers independently searched the literature in the following databases: PubMed, the Association for Computing Machinery (ACM), the Institute of Electrical and Electronics Engineers (IEEE), and Google Scholar.

resultsFrom a total of 625 screened studies, 33 were included in the scoping review based on relevance, reported innovation, clinical and surgical implementation, and potential benefits in MIS and RAS. Intraoperative surgical guidance using telestration with AR has already been implemented in the MIS and RAS fields, such as urology, colorectal surgery, gynecology, and orthopedics. Telestration with AR is increasingly used in MIS and RAS simulation and training. This technology optimizes communication during surgical procedures, reduces complication rates, and enhances performance, potentially leading to improved patient outcomes.

conclusionTelestration with AR is an innovative tool in MIS and RAS that improves surgical training, communication, and idea exchange, sometimes replacing on-site mentoring.

Indexed as

Augmented RealityMinimally Invasive Surgical ProceduresRobotic Surgical ProceduresClinical CompetenceHumansLearning CurveAugmented realityMedical educationMinimally invasive surgeryRobotic-assisted surgerySurgical trainingTelestration

Identifiers

PMID41251786
PMCPMC12708694

What OpenQuestion holds

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LicenceCC BY
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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.