Projected cutting guides using an augmented reality system to improve surgical margins in maxillectomies : A preclinical study

Copyright © 2022 Elsevier Ltd. All rights reserved..

BACKGROUND: Positive margins have been reported up to 80% in advanced maxillary cancers. Intraoperative navigation (IN) aims to improve margins, but provides a two-dimensional view of a registered instrument without anticipating any cutting directions, and the information is displayed in monitors outside surgical field. Augmented Reality (AR) can delineate margins while addressing the gaze-toggling drawback of IN. In a preclinical setting, we implemented preoperative-planned osteotomies needed for maxillectomies and projected this information on the surgical field using AR. We aimed to improve negative margin rates while retaining the benefits of AR.

METHODS: Five maxillary tumor models were built. Five fellowship-trained surgeons completed virtual unguided and AR-guided maxillectomies. Comparisons in terms of intratumoral cuts, close, adequate, and excessive distances from the tumor were performed. Differences between "ideal" cutting-plan and the AR-guided virtual osteotomies was obtained. Workload questionnaires to evaluate the technology were completed.

RESULTS: 115 virtual osteotomies were analyzed. Intra-tumoral and "close" margins were lower for the AR-assisted osteotomies (0.0% vs 1.9% p < 0.0001 and 0.8% vs 7.9% p < 0.0001). Proportion of "adequate" margins were higher in the AR simulations (25.3% vs 18.6%, p = 0.018). The AR osteotomies had high similarity with the pre-planned with interclass correlation index close to 1 in "adequate" margins 0.893 (95% CI: 0.804-0.949). Workload scores were better for AR-guided simulations for the domains of mental demand, performance, effort and frustration.

CONCLUSION: The projector-based AR method improved margin delineation, and preoperative planning was accurately translated to the simulations. Clinical translation will aim to consolidate our preclinical findings to improve outcomes.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:127

Enthalten in:

Oral oncology - 127(2022) vom: 01. Apr., Seite 105775

Sprache:

Englisch

Beteiligte Personen:

H L Chan, Harley [VerfasserIn]
Sahovaler, Axel [VerfasserIn]
Daly, Michael J [VerfasserIn]
Ferrari, Marco [VerfasserIn]
Franz, Leonardo [VerfasserIn]
Gualtieri, Tommaso [VerfasserIn]
Tzelnick, Sharon [VerfasserIn]
Eu, Donovan [VerfasserIn]
Manojlovic-Kolarski, Mirko [VerfasserIn]
Berania, Ilyes [VerfasserIn]
Orzell, Susannah [VerfasserIn]
de Almeida, John R [VerfasserIn]
Goldstein, David P [VerfasserIn]
Nicolai, Piero [VerfasserIn]
Gilbert, Ralph W [VerfasserIn]
Irish, Jonathan C [VerfasserIn]

Links:

Volltext

Themen:

Augmented reality
Journal Article
Maxillectomies
Research Support, Non-U.S. Gov't
Surgical margins
Surgical navigation

Anmerkungen:

Date Completed 05.04.2022

Date Revised 01.06.2022

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.oraloncology.2022.105775

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM337345538