ArticleEuropean radiology2021
Augmented reality simulator for CT-guided interventions.
Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Microsoft HoloLens 2 in Medical and Healthcare Context: State of the Art and Future Prospects.Sensors (Basel, Switzerland) · 2022Pooled it
- Augmented Reality in Interventional Radiology: A Review of Systems, Ergonomics, Applications, and Outcomes.Journal of medical extended reality · 2025Review
- Article
- Optimizing Precision: A Trajectory Tract Reference Approach to Minimize Complications in CT-Guided Transthoracic Core Biopsy.Diagnostics (Basel, Switzerland) · 2024Article
- The application of augmented reality for improving clinical skills: a scoping review.Korean journal of medical education · 2024Article
- Review
- Current role and future applications of image-guided interventional procedures in musculoskeletal oncology - A narrative review.Journal of orthopaedics · 2023Article
- Views on Augmented Reality, Virtual Reality, and 3D Printing in Modern Medicine and Education: A Qualitative Exploration of Expert Opinion.Journal of digital imaging · 2023Article
- Simulation education utilizing phantom and angle reference guide in pulmonary nodule CT localization.Heliyon · 2023Article
- HoloLens 1 vs. HoloLens 2: Improvements in the New Model for Orthopedic Oncological Interventions.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionCT-guided interventions are taught using a mentored approach on real patients. It is well established that simulation is a valuable training tool in medicine. This project assessed the feasibility and acceptance of replicating a CT-guided intervention using a bespoke software application with an augmented reality head-mounted display (ARHMD).
methodsA virtual patient was generated using a CT dataset obtained from The Cancer Imaging Archive. A surface mesh of a virtual patient was projected into the field-of-view of the operator. ChArUco markers, placed on both the needle and agar jelly phantom, were tracked using RGB cameras built into the ARHMD. A virtual CT slice simulating the needle position was generated on voice command. The application was trialled by senior interventional radiologists and trainee radiologists with a structured questionnaire evaluating face validity and technical aspects.
resultsSixteen users trialled the application and feedback was received from all. Eleven felt the accuracy and realism was adequate for training and twelve felt more confident about their CT biopsy skills after this training session. DISCUSSION: The study showed the feasibility of simulating a CT-guided procedure with augmented reality and that this could be used as a training tool. KEY POINTS: • Simulating a CT-guided procedure using augmented reality is possible. • The simulator developed could be an effective training tool for clinical practical skills. • Complexity of cases can be tailored to address the training level demands.
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Registered trials
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.