ReviewFrontiers in surgery2024
Narrative review of patient-specific 3D visualization and reality technologies in skull base neurosurgery: enhancements in surgical training, planning, and navigation.
Review in Frontiers in surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
23 citing papers in PubMed.
- Clinician-Guided Deep Learning Segmentation of Skull Base Pneumatization on Computed Tomography Using 3D Slicer and MONAI Label.Life (Basel, Switzerland) · 2026Article
- Neurovascular Compression Syndromes of Cranial Nerves: A Multidisciplinary Guide to Management.Brain sciences · 2026Review
- Integrating AI Segmentation, Simulated Digital Twins, and Extended Reality into Medical Education: A Narrative Technical Review and Proof-of-Concept Case Study.Journal of personalized medicine · 2026Review
- Review
- Use of three-dimensional-printed models for preoperative planning in endoscopic endonasal surgery for tuberculum sellae meningioma: A case report and literature review.Surgical neurology international · 2026Article
- Application of individualized localization technology based on multimodal image spatial coordinate mapping in suboccipital retrosigmoid approach surgery.Frontiers in neurology · 2026Article
- Automated segmentation of pituitary adenomas, pituitary gland, and internal carotid arteries on routine coronal contrast-enhanced T1-weighted MRI: a single-sequence feasibility study.Frontiers in endocrinology · 2026Article
- A Comparative Accuracy Study of Nasal Soft Tissue Measurements Using a 3D Facial Scanner and Conventional Methods.International journal of dentistry · 2026Article
- 3D-printed navigation templates combined with multimodal imaging assist low-grade glioma surgery: a retrospective cohort study.Frontiers in surgery · 2026Article
- Comprehensive protocol for mixed reality visualization and navigation using 3D Slicer.PloS one · 2026Article
- [Skull base surgery-where do we stand?]HNO · 2025Review
- Revolutionizing spine surgery with emerging AI-FEA integration.Journal of robotic surgery · 2025Review
- Role of mixed reality in the workflow of complex neurooncological surgeries: a case analysis in thalamic surgery.Acta neurochirurgica · 2025Article
- Artificial Intelligence in Trauma and Orthopaedic Surgery: A Comprehensive Review From Diagnosis to Rehabilitation.Cureus · 2025Review
- AI-Enhanced 3D Models in Global Virtual Reality Case Conferences for Surgical Care in a Low-Income Country: Exploratory Study.JMIR formative research · 2025Article
- 3D Printing Today, AI Tomorrow: Rethinking Apert Syndrome Surgery in Low-Resource Settings.Healthcare (Basel, Switzerland) · 2025Article
- Navigating the artificial intelligence (AI) era: a paradigm shift in clinical surgical education.Hepatobiliary surgery and nutrition · 2025Article
- Review
- Utilizing virtual reality for resection of recurrent ventral, extramedullary cervical meningioma.Surgical neurology international · 2025Article
- Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advances in medical imaging, computer vision, 3-dimensional (3D) modeling, and artificial intelligence (AI) integrated technologies paved the way for generating patient-specific, realistic 3D visualization of pathological anatomy in neurosurgical conditions. Immersive surgical simulations through augmented reality (AR), virtual reality (VR), mixed reality (MxR), extended reality (XR), and 3D printing applications further increased their utilization in current surgical practice and training. This narrative review investigates state-of-the-art studies, the limitations of these technologies, and future directions for them in the field of skull base surgery. We begin with a methodology summary to create accurate 3D models customized for each patient by combining several imaging modalities. Then, we explore how these models are employed in surgical planning simulations and real-time navigation systems in surgical procedures involving the anterior, middle, and posterior cranial skull bases, including endoscopic and open microsurgical operations. We also evaluate their influence on surgical decision-making, performance, and education. Accumulating evidence demonstrates that these technologies can enhance the visibility of the neuroanatomical structures situated at the cranial base and assist surgeons in preoperative planning and intraoperative navigation, thus showing great potential to improve surgical results and reduce complications. Maximum effectiveness can be achieved in approach selection, patient positioning, craniotomy placement, anti-target avoidance, and comprehension of spatial interrelationships of neurovascular structures. Finally, we present the obstacles and possible future paths for the broader implementation of these groundbreaking methods in neurosurgery, highlighting the importance of ongoing technological advancements and interdisciplinary collaboration to improve the accuracy and usefulness of 3D visualization and reality technologies in skull base surgeries.
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Registered trials
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