Evidence map›Paper›PMID 39370802›Full record

SynthesisSurgical innovation2024

Augmented Reality Implementation in Minimally Invasive Surgery for Future Application in Pulmonary Surgery: A Systematic Review.

Marie-Claire J Doornbos, Jette J Peek, Alexander P W M Maat, Jelle P Ruurda, Pieter De Backer, Bart M W Cornelissen, Edris A F Mahtab, Amir H Sadeghi, Jolanda Kluin

Abstract readSystematic Review
In one paragraph

Synthesis in Surgical innovation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–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

13 citing papers in PubMed.

  1. Article
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  3. Laparoscopic liver point cloud registration via hyperbolic-topology interaction.International journal of computer assisted radiology and surgery · 2026
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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

9 authors.

Marie-Claire J DoornbosDepartment of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands.
Jette J PeekDepartment of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands.ORCID 0000-0002-8412-2851
Alexander P W M MaatDepartment of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands.
Jelle P RuurdaDepartment of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.
Pieter De BackerORSI Academy, Melle, Belgium.
Bart M W CornelissenDepartment of Cranio-Maxillofacial surgery, Erasmus MC, Rotterdam, The Netherlands.
Edris A F MahtabDepartment of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands.
Amir H SadeghiDepartment of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands.
Jolanda KluinDepartment of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis systematic review investigates of Augmented Reality (AR) systems used in minimally invasive surgery of deformable organs, focusing on initial registration, dynamic tracking, and visualization. The objective is to acquire a comprehensive understanding of the current knowledge, applications, and challenges associated with current AR-techniques, aiming to leverage these insights for developing a dedicated AR pulmonary Video or Robotic Assisted Thoracic Surgery (VATS/RATS) workflow.

methodsA systematic search was conducted within Embase, Medline (Ovid) and Web of Science on April 16, 2024, following the Preferred Reporting items for Systematic Reviews and Meta-Analyses (PRISMA). The search focused on intraoperative AR applications and intraoperative navigational purposes for deformable organs. Quality assessment was performed and studies were categorized according to initial registration and dynamic tracking methods.

results33 articles were included, of which one involved pulmonary surgery. Studies used both manual and (semi-) automatic registration methods, established through anatomical landmark-based, fiducial-based, or surface-based techniques. Diverse outcome measures were considered, including surgical outcomes and registration accuracy. The majority of studies that reached an registration accuracy below 5 mm applied surface-based registration.

conclusionsAR can potentially aid surgeons with real-time navigation and decision making during anatomically complex minimally invasive procedures. Future research for pulmonary applications should focus on exploring surface-based registration methods, considering their non-invasive, marker-less nature, and promising accuracy. Additionally, vascular-labeling-based methods are worth exploring, given the importance and relative stability of broncho-vascular anatomy in pulmonary VATS/RATS. Assessing clinical feasibility of these approaches is crucial, particularly concerning registration accuracy and potential impact on surgical outcomes.

Indexed as

Augmented RealityMinimally Invasive Surgical ProceduresHumansPulmonary Surgical ProceduresRobotic Surgical ProceduresSurgery, Computer-AssistedThoracic Surgery, Video-Assistedaugmented realitydeformabilitydynamic trackingminimal invasive surgeryregistrationvideo/robot assisted thoracic surgery

Identifiers

PMID39370802
PMCPMC11475712

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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.