Evidence map›Paper›PMID 37347346›Full record

ArticleInternational journal of computer assisted radiology and surgery2024

Fully immersive virtual reality for skull-base surgery: surgical training and beyond.

Adnan Munawar, Zhaoshuo Li, Nimesh Nagururu, Danielle Trakimas, Peter Kazanzides, Russell H Taylor, Francis X Creighton

Open access · greenAbstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
11.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Evaluating the Efficacy of a Novel Multimaterial 3D-Printed Phantom for Otologic Surgical Education and Simulation.Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. A multimodal digital twin for autonomous micro-drilling in scientific exploration.International journal of computer assisted radiology and surgery · 2025
    Article
  8. Exploring interaction paradigms for segmenting medical images in virtual reality.International journal of computer assisted radiology and surgery · 2025
    Article
  9. Article
  10. Article
  11. ENTRI: Enhanced Navigational Toolkit for Robotic Interventions.IEEE transactions on medical robotics and bionics · 2024
    Article
  12. An endoscopic chisel: intraoperative imaging carves 3D anatomical models.International journal of computer assisted radiology and surgery · 2024
    Article
  13. Article
  14. Review
  15. Article
  16. Twin-S: a digital twin for skull base surgery.International journal of computer assisted radiology and surgery · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Adnan MunawarJohns Hopkins University, Baltimore, MD, 21218, USA. amunawa2@jh.edu.ORCID http://orcid.org/0000-0002-3400-4558
Zhaoshuo LiJohns Hopkins University, Baltimore, MD, 21218, USA.
Nimesh NagururuJohns Hopkins Medicine, Baltimore, MD, 21209, USA.
Danielle TrakimasJohns Hopkins Medicine, Baltimore, MD, 21209, USA.
Peter KazanzidesJohns Hopkins University, Baltimore, MD, 21218, USA.
Russell H TaylorJohns Hopkins University, Baltimore, MD, 21218, USA.
Francis X CreightonJohns Hopkins Medicine, Baltimore, MD, 21209, USA.
Johns Hopkins University · US

Funding

Cooperative Control Robotics and Computer Vision: Development of Semi-Autonomous Temporal Bone and Skull Base SurgeryK08DC019708 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI CREIGHTON, FRANCIS XAVIER · 2021 to 2025
$959k
NIDCD NIH HHS K08 DC019708NIDCD NIH HHS NIDCD K08 Grant DC019708
6 · The paper itself

Abstract

purposeA virtual reality (VR) system, where surgeons can practice procedures on virtual anatomies, is a scalable and cost-effective alternative to cadaveric training. The fully digitized virtual surgeries can also be used to assess the surgeon's skills using measurements that are otherwise hard to collect in reality. Thus, we present the Fully Immersive Virtual Reality System (FIVRS) for skull-base surgery, which combines surgical simulation software with a high-fidelity hardware setup.

methodsFIVRS allows surgeons to follow normal clinical workflows inside the VR environment. FIVRS uses advanced rendering designs and drilling algorithms for realistic bone ablation. A head-mounted display with ergonomics similar to that of surgical microscopes is used to improve immersiveness. Extensive multi-modal data are recorded for post-analysis, including eye gaze, motion, force, and video of the surgery. A user-friendly interface is also designed to ease the learning curve of using FIVRS.

resultsWe present results from a user study involving surgeons with various levels of expertise. The preliminary data recorded by FIVRS differentiate between participants with different levels of expertise, promising future research on automatic skill assessment. Furthermore, informal feedback from the study participants about the system's intuitiveness and immersiveness was positive.

conclusionWe present FIVRS, a fully immersive VR system for skull-base surgery. FIVRS features a realistic software simulation coupled with modern hardware for improved realism. The system is completely open source and provides feature-rich data in an industry-standard format.

Indexed as

Virtual RealityClinical CompetenceComputer SimulationHumansSkullSoftwareUser-Computer InterfaceDataset generationSkull-base surgerySurgical trainingVirtual reality

Identifiers

PMID37347346
PMCPMC11163985
OpenAlexW4381599186

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.