Augmented reality visualization in brain lesions: a prospective randomized controlled evaluation of its potential and current limitations in navigated microneurosurgery - Scorecard - MDSpire

Augmented reality visualization in brain lesions: a prospective randomized controlled evaluation of its potential and current limitations in navigated microneurosurgery

  • By

  • Anna L. Roethe

  • Judith Rösler

  • Martin Misch

  • Peter Vajkoczy

  • Thomas Picht

  • December 13, 2021

  • 0 min

Share

Clinical Scorecard: Evaluating the Role of Augmented Reality Visualization in Brain Lesions: A Prospective Randomized Controlled Study on Its Benefits and Current Challenges in Navigated Microneurosurgery

At a Glance

CategoryDetail
ConditionBrain lesions including tumors and vascular malformations
Key MechanismsAugmented reality (AR) overlays volumetric imaging data (MRI, DTI, nTMS) onto the surgical field via navigated operating microscope to provide situated visualization of tumor borders and critical structures
Target PopulationPatients undergoing navigated microneurosurgery for brain lesions
Care SettingOperating room during neurosurgical interventions

Key Highlights

  • AR visualization integrates real-time surgical site view with digital overlays of anatomical and functional imaging data to aid surgical navigation.
  • Navigated operating microscope with HUD-based AR is the most accessible AR modality in neurosurgery, supporting planning and intraoperative decision-making.
  • Challenges include registration accuracy limitations and visualization quality, which affect broader clinical adoption and impact on surgical outcomes.

Guideline-Based Recommendations

Diagnosis

  • Use routine preoperative imaging including MRI, diffusion tensor imaging, and navigated transcranial magnetic stimulation for surgical planning and AR data integration.

Management

  • Employ navigated operating microscope with AR overlays to visualize tumor borders, functional hotspots, and critical tracts intraoperatively.
  • Surgeons should undergo structured training in HUD control and microscope navigation prior to AR-guided procedures.

Monitoring & Follow-up

  • Document intraoperative AR use via microscope video recordings and direct observation using standardized checklists to assess visualization quality and workflow impact.

Risks

  • Be aware of potential cognitive overload from excessive visual information during surgery.
  • Consider limitations in registration accuracy and visualization quality that may affect surgical decision-making.

Patient & Prescribing Data

Patients undergoing brain tumor or vascular lesion surgery with navigated microneurosurgery

AR visualization may reduce surgical risk and cognitive load by providing detailed, context-specific imaging overlays, though definitive impact on outcomes remains to be established.

Clinical Best Practices

  • Integrate preoperative imaging data (MRI, DTI, nTMS) into surgical planning software for AR visualization.
  • Perform surgeon-led segmentation of tumors and anatomical structures on day of surgery to ensure accuracy.
  • Use preset HUD views including volume overlays and picture-in-picture navigation in axial, coronal, and sagittal planes.
  • Combine AR visualization with conventional neuronavigation to optimize intraoperative guidance.
  • Conduct structured surgeon training in AR system operation to maximize usability and safety.

References

Original Source(s)

Related Content