Evidence map›Paper›PMID 38293267›Full record

ArticleTechnical innovations & patient support in radiation oncology2024

Smartphone-based augmented reality patient education in radiation oncology.

Liam J Wang, Brian Casto, Nancy Reyes-Molyneux, William W Chance, Samuel J Wang

Open access · goldAbstract read
In one paragraph

Article in Technical innovations & patient support in radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 18% 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, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Article
  5. Review
  6. Review
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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

5 authors at 2 institutions in 1 country.

Liam J WangJohns Hopkins University, Baltimore, MD 21218, United States.
Brian CastoDepartment of Radiation Oncology, Salem Health, 895 Oak St SE, Salem, OR 97301, United States.
Nancy Reyes-MolyneuxDepartment of Radiation Oncology, Salem Health, 895 Oak St SE, Salem, OR 97301, United States.
William W ChanceDepartment of Radiation Oncology, Salem Health, 895 Oak St SE, Salem, OR 97301, United States.
Samuel J WangDepartment of Radiation Oncology, Salem Health, 895 Oak St SE, Salem, OR 97301, United States.
Salem Hospital · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We built an augmented reality (AR) patient education application for portable iOS and Android devices that allows patients to view a virtual simulation of themselves receiving radiation treatment. We created software that reads data from the clinical treatment planning system and renders the patient's actual radiotherapy plan in AR on a tablet or smartphone. The patient's CT simulation data are converted into a 3D translucent virtual human shown being treated with visible radiation beams from a virtual linear accelerator. We conducted a patient study to determine if showing patients this AR simulation improves patient understanding of radiotherapy and/or reduces anxiety about treatment. A total of 75 patients completed this study. The most common plans were 3D breast tangents and intensity modulated radiotherapy lung plans. Patients were administered questionnaires both before and after their AR viewing experience. After their AR viewing, 95% of patients indicated that they had a better understanding of how radiotherapy will be used to treat their cancer. Of the 35 patients who expressed anxiety about radiotherapy beforehand, 21 (60%) indicated that they had decreased anxiety after the AR session. In our single-arm prospective patient study, we found that this simplified low-cost tablet-based personalized AR simulation can be a helpful educational tool for cancer patients undergoing radiotherapy.

Indexed as

Augmented realityCancerPatient educationRadiation oncologyVirtual reality

Identifiers

PMID38293267
PMCPMC10825366
OpenAlexW4389946864

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.