Augmented Reality Integration in Skull Base Neurosurgery: A Systematic Review.
Emir BegagićHakija BečulićRagib PugonjaZlatan MemićSimon A BalogunAmina Džidić-KrivićElma MilanovićNaida SalkovićAdem NuhovićRasim SkomoracHaso SefoMirza PojskicPublished in: Medicina (Kaunas, Lithuania) (2024)
Background and Objectives: To investigate the role of augmented reality (AR) in skull base (SB) neurosurgery. Materials and Methods: Utilizing PRISMA methodology, PubMed and Scopus databases were explored to extract data related to AR integration in SB surgery. Results: The majority of 19 included studies (42.1%) were conducted in the United States, with a focus on the last five years (77.8%). Categorization included phantom skull models (31.2%, n = 6), human cadavers (15.8%, n = 3), or human patients (52.6%, n = 10). Microscopic surgery was the predominant modality in 10 studies (52.6%). Of the 19 studies, surgical modality was specified in 18, with microscopic surgery being predominant (52.6%). Most studies used only CT as the data source ( n = 9; 47.4%), and optical tracking was the prevalent tracking modality ( n = 9; 47.3%). The Target Registration Error (TRE) spanned from 0.55 to 10.62 mm. Conclusion: Despite variations in Target Registration Error (TRE) values, the studies highlighted successful outcomes and minimal complications. Challenges, such as device practicality and data security, were acknowledged, but the application of low-cost AR devices suggests broader feasibility.
Keyphrases
- minimally invasive
- case control
- coronary artery bypass
- endothelial cells
- low cost
- big data
- type diabetes
- computed tomography
- randomized controlled trial
- magnetic resonance imaging
- ejection fraction
- metabolic syndrome
- oxidative stress
- risk factors
- chronic kidney disease
- percutaneous coronary intervention
- insulin resistance
- acute coronary syndrome
- weight loss
- artificial intelligence
- high speed
- deep learning
- contrast enhanced
- pet ct
- monte carlo