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Clinical Trial for the Validation of AR Based Neuronavigation System

Seoul National University logo

Seoul National University

Status

Not yet enrolling

Conditions

Cerebral Arteriovenous Malformation
Navigation, Spatial
Cerebral Aneurysm
Brain Neoplasms

Treatments

Diagnostic Test: AR-based navigation

Study type

Interventional

Funder types

Other

Identifiers

NCT05776706
SNUH-AR001

Details and patient eligibility

About

The goal of this clinical trial is to test augmented reality (AR) based neuronavigation system in surgeries for patients of brain neoplasm or cerebral vascular disease. The main questions it aims to answer are:

• AR based neuronavigation system can achieve accuracy that is not inferior to conventional intraoperative navigation system.

Participants will participate the study after informed consent. When participants undergo surgery for their brain tumor, we will set up 2 types of neuronavigation, conventional navigation system and developed AR based neuronavigation system. Surgeon will plan and conduct surgery based on only conventional navigation system, but 3D errors at several selected points between two types of navigation will be measured and analyzed.

Full description

Being developed AR navigation were reported in our following papers:

  1. Dho YS, et al., Development of an inside-out augmented reality technique for neurosurgical navigation. Neurosurgical Focus. 2021 Aug 1;51(2):E21. (doi.org/10.3171/2021.5.FOCUS21184)
  2. Moon HC, et al., Navigation of frameless fixation for gamma knife radiosurgery using fixed augmented reality. Scientific Reports. 2022 Mar 16;12(1):1-0. (doi.org/10.3171/2021.5.FOCUS21184)

This study aims to evaluate the accuracy of anatomical localization of a newly developed augmented reality-based neurosurgery navigation. After 3-dimensional (3D) modeling of the brain of a patient with brain tumor or cerebral vascular disease through 3D image segmentation extraction and modeling, the Augmented Reality (AR)-based navigation developed by this research team can be used with a commercially available visualization device, such as iPad, iPhone, and Hololens2, to evaluate the accuracy.

The AR-based navigation obtained approval from the Ministry of Food and Drug Safety of Republic of Korea (class 2 medical device) in February 2022. Through this clinical tria that compare accuracy with existing conventional intraoperative neuronavigation system, we will evaluate whether it shows equivalent performance to replace the existing navigation.

Enrollment

80 estimated patients

Sex

All

Ages

18 to 85 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Adult patients aged 18 years or older who underwent MRI or CT scan due to brain tumor or cerebrovascular disease
  • Adult patients aged 18 years or older who need surgical treatment using navigation for brain tumor or cerebrovascular disease

Exclusion criteria

  • Cases where application of navigation is not necessary according to the judgment of the researcher or surgeon
  • When the patient or guardian does not agree
  • Patients with anatomical deformation due to previous surgery or requiring emergency surgery

Trial design

Primary purpose

Other

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

80 participants in 1 patient group

Single arm
Experimental group
Description:
We will set up 2 navigation systems, newly developed AR-based navigation and conventional navigation system, to surgeries of all participants. Surgeons will perform all surgical planning and operations with reference to the conventional navigation system. In this process, the errors of the existing navigation and the newly developed navigation will be measured and compared in 3D at several points, and the points are as follows: 1. Fiducial markers 2. Nasion 3. Tumor's margin (anterior, posterior, superior, inferior)
Treatment:
Diagnostic Test: AR-based navigation

Trial contacts and locations

1

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Central trial contact

Ho Kang, MD; Chul-Kee Park, MD, PhD

Data sourced from clinicaltrials.gov

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