基于智能手机的增强现实放射肿瘤学患者教育

Liam J. Wang , Brian Casto , Nancy Reyes-Molyneux , William W. Chance , Samuel J. Wang
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引用次数: 0

摘要

我们为便携式 iOS 和安卓设备开发了一款增强现实(AR)患者教育应用软件,让患者能够观看自己接受放射治疗的虚拟模拟场景。我们开发的软件可读取临床治疗计划系统的数据,并在平板电脑或智能手机上以 AR 技术呈现患者的实际放疗计划。患者的 CT 模拟数据被转换成三维半透明虚拟人,显示患者正在接受来自虚拟直线加速器的可见辐射束治疗。我们进行了一项患者研究,以确定向患者展示这种 AR 模拟是否能提高患者对放疗的理解和/或减少对治疗的焦虑。共有 75 名患者完成了这项研究。最常见的计划是三维乳腺切线和肺部调强放疗计划。患者在观看 AR 体验前后均接受了问卷调查。在观看 AR 之后,95% 的患者表示他们对如何使用放疗治疗癌症有了更好的了解。在 35 名事先对放疗表示焦虑的患者中,有 21 人(60%)表示在观看 AR 后焦虑有所减轻。在我们的单臂前瞻性患者研究中,我们发现这种基于平板电脑的简化低成本个性化 AR 模拟可以成为接受放疗的癌症患者的有用教育工具。
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Smartphone-based augmented reality patient education in radiation oncology

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.

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来源期刊
CiteScore
4.10
自引率
0.00%
发文量
48
审稿时长
67 days
期刊最新文献
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