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

augmented reality deformability dynamic tracking minimal invasive surgery registration video/robot assisted thoracic surgery

Journal

Surgical innovation
ISSN: 1553-3514
Titre abrégé: Surg Innov
Pays: United States
ID NLM: 101233809

Informations de publication

Date de publication:
07 Oct 2024
Historique:
medline: 7 10 2024
pubmed: 7 10 2024
entrez: 7 10 2024
Statut: aheadofprint

Résumé

This 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. A 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. 33 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. AR 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.

Identifiants

pubmed: 39370802
doi: 10.1177/15533506241290412
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

15533506241290412

Déclaration de conflit d'intérêts

Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Marie-Claire J Doornbos (MJ)

Department of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands.
Educational Program Technical Medicine, Leiden University Medical Center, Delft University of Technology & Erasmus University Medical Center Rotterdam, Leiden, The Netherlands.

Jette J Peek (JJ)

Department of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands.

Alexander P W M Maat (APWM)

Department of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands.

Jelle P Ruurda (JP)

Department of Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.

Pieter De Backer (P)

ORSI Academy, Melle, Belgium.

Bart M W Cornelissen (BMW)

Department of Cranio-Maxillofacial surgery, Erasmus MC, Rotterdam, The Netherlands.

Edris A F Mahtab (EAF)

Department of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands.
Department of Cardiothoracic Surgery, Leiden University Medical Center, Leiden, The Netherlands.

Amir H Sadeghi (AH)

Department of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands.
Department of Cardiothoracic Surgery, University Medical Center Utrecht, The Netherlands.

Jolanda Kluin (J)

Department of Cardiothoracic Surgery, Thoraxcenter, Erasmus MC, Rotterdam, The Netherlands.

Classifications MeSH