Evidence map›Paper›PMID 33594609›Full record

ArticleJournal of medical systems2021

Mixed Reality Visualization of Radiation Dose for Health Professionals and Patients in Interventional Radiology.

Takeshi Takata, Susumu Nakabayashi, Hiroshi Kondo, Masayoshi Yamamoto, Shigeru Furui, Kenshiro Shiraishi, Takenori Kobayashi, Hiroshi Oba, Takahide Okamoto, Jun'ichi Kotoku

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Takeshi TakataGraduate School of Medical Care and Technology, Teikyo University, Tokyo, Japan.
Susumu NakabayashiDiagnostic imaging Center, Kameda Medical Center, Chiba, Japan.
Hiroshi KondoDepartment of Radiology, Teikyo University School of Medicine, Tokyo, Japan.
Masayoshi YamamotoDepartment of Radiology, Teikyo University School of Medicine, Tokyo, Japan.
Shigeru FuruiGraduate School of Medical Care and Technology, Teikyo University, Tokyo, Japan.
Kenshiro ShiraishiDepartment of Radiology, Teikyo University School of Medicine, Tokyo, Japan.
Takenori KobayashiGraduate School of Medical Care and Technology, Teikyo University, Tokyo, Japan.
Hiroshi ObaDepartment of Radiology, Teikyo University School of Medicine, Tokyo, Japan.
Takahide OkamotoGraduate School of Medical Care and Technology, Teikyo University, Tokyo, Japan.
Jun'ichi KotokuGraduate School of Medical Care and Technology, Teikyo University, Tokyo, Japan. kotoku@med.teikyo-u.ac.jp.ORCID http://orcid.org/0000-0002-5233-6003
Teikyo University · JPTeikyo University Hospital · JPKameda Medical Center · JP

Funding

Japan Society for the Promotion of Science (JP) 18K07646
6 · The paper itself

Abstract

For interventional radiology, dose management has persisted as a crucially important issue to reduce radiation exposure to patients and medical staff. This study designed a real-time dose visualization system for interventional radiology designed with mixed reality technology and Monte Carlo simulation. An earlier report described a Monte-Carlo-based estimation system, which simulates a patient's skin dose and air dose distributions, adopted for our system. We also developed a system of acquiring fluoroscopic conditions to input them into the Monte Carlo system. Then we combined the Monte Carlo system with a wearable device for three-dimensional holographic visualization. The estimated doses were transferred sequentially to the device. The patient's dose distribution was then projected on the patient body. The visualization system also has a mechanism to detect one's position in a room to estimate the user's exposure dose to detect and display the exposure level. Qualitative tests were conducted to evaluate the workload and usability of our mixed reality system. An end-to-end system test was performed using a human phantom. The acquisition system accurately recognized conditions that were necessary for real-time dose estimation. The dose hologram represents the patient dose. The user dose was changed correctly, depending on conditions and positions. The perceived overall workload score (33.50) was lower than the scores reported in the literature for medical tasks (50.60) for computer activities (54.00). Mixed reality dose visualization is expected to improve exposure dose management for patients and health professionals by exhibiting the invisible radiation exposure in real space.

Indexed as

Imaging, Three-DimensionalRadiation DosageRadiology, InterventionalFluoroscopyHealth PersonnelHumansMonte Carlo MethodDose calculationInterventional radiologyMixed realityRadiation doseVisualization

Identifiers

PMID33594609
PMCPMC7886835
OpenAlexW3133285904

What OpenQuestion holds

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LicenceCC BY
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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.