Evidence map›Paper›PMID 32130647›Full record

ArticleInternational journal of computer assisted radiology and surgery2020

Simulation of scattered radiation during intraoperative imaging in a virtual reality learning environment.

Matthias Süncksen, Oliver Johannes Bott, Klaus Dresing, Michael Teistler

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. X-ray scatter in projection radiography.Radiation protection dosimetry · 2024
    Article
  5. Article
  6. 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

4 authors at 2 institutions in 1 country.

Matthias SüncksenDepartment of Information and Communication, Flensburg University of Applied Sciences, Kanzleistraße 91-93, 24943, Flensburg, Germany. matthias.suencksen@hs-flensburg.de.ORCID http://orcid.org/0000-0001-9629-0759
Oliver Johannes BottDepartment of Information and Communication, University of Applied Sciences and Arts Hannover, Ricklinger Stadtweg 120, 30459, Hannover, Germany.
Klaus DresingDepartment of Trauma Surgery, Orthopedic Surgery and Plastic Surgery, University Medical Center Göttingen, Göttingen, Germany.ORCID http://orcid.org/0000-0002-1149-8903
Michael TeistlerDepartment of Information and Communication, Flensburg University of Applied Sciences, Kanzleistraße 91-93, 24943, Flensburg, Germany.
Europa-Universität Flensburg · DERobert Koch Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeScattered radiation, which occurs when using a C-arm for intraoperative radiography, can be better understood through interactive visualization. We developed a virtual reality (VR) approach for the simulation of scattered radiation (SSR) as part of a C-arm training system. In VR, it is important to avoid cyber sickness, which is often caused by increased latency between head motion and image presentation inside the head-mounted display. As the latency requirement interferes with the computational complexity of the SSR, the goal has been to maintain a low latency during the simultaneous computation of the SSR on moderate-cost consumer hardware.

methodsFor use with a VR C-arm simulator, a CUDA-based Monte Carlo SSR has been improved to utilize GPU resources unused by the VR image generation. Resulting SSR data are visualized through volume rendering with pseudo-colored scattered radiation superimposed onto the virtual operating room. The resulting interactive VR-SSR environment was evaluated with operating room personnel (ORP) and surgeons using questionnaires.

resultsDepending on the imaged body part and computation parameters, the required computation time to complete one SSR run was between 1.6 and 4.2 s (ankle) and between 7.9 and 14.9 s (thigh), and VR frame times from 11 to 12 ms (95th percentile). The system was evaluated with ORP (n = 46) and surgeons (n = 25). The median of professional C-arm experience was 5 (range 1 to 34) years (ORP) and 12.5 (range 2 to 48) years (surgeons), respectively. The demonstrated prototype was found useful by 78% of ORP and 88% of the surgeons. On a Likert scale, more than 90% of both groups "agreed fully" that the presented way of visualizing SSR in VR helps understanding intraoperative exposure to scattered radiation.

conclusionsLeveraging off-the-shelf computer equipment, the feasibility of SSR and VR for interactive training has been demonstrated. Evaluation participants showed a high interest for the presented approach. Feedback suggests that the visualization experienced by the users helps understanding radiation hazards in the operating room.

Indexed as

Virtual RealityComputer SimulationFeedbackHumansMonitoring, IntraoperativeOperating RoomsScattering, RadiationSimulation TrainingSurgeonsUser-Computer InterfaceComputer-based trainingIntraoperative imagingRadiation protectionRadiographyScattered radiationSimulationVirtual reality

Identifiers

PMID32130647
OpenAlexW3009465671

What OpenQuestion holds

Textmetadata
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.