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Training for Planning Tumour Resection: Augmented Reality and Human Factors

机译:规划肿瘤切除术培训:增强现实和人为因素

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摘要

Planning surgical interventions is a complex task, demanding a high degree of perceptual, cognitive, and sensorimotor skills to reduce intra- and post-operative complications. This process requires spatial reasoning to coordinate between the preoperatively acquired medical images and patient reference frames. In the case of neurosurgical interventions, traditional approaches to planning tend to focus on providing a means for visualizing medical images, but rarely support transformation between different spatial reference frames. Thus, surgeons often rely on their previous experience and intuition as their sole guide is to perform mental transformation. In case of junior residents, this may lead to longer operation times or increased chance of error under additional cognitive demands. In this paper, we introduce a mixed augmented-/virtual-reality system to facilitate training for planning a common neurosurgical procedure, brain tumour resection. The proposed system is designed and evaluated with human factors explicitly in mind, alleviating the difficulty of mental transformation. Our results indicate that, compared to conventional planning environments, the proposed system greatly improves the nonclinicians’ performance, independent of the sensorimotor tasks performed (). Furthermore, the use of the proposed system by clinicians resulted in a significant reduction in time to perform clinically relevant tasks (). These results demonstrate the role of mixed-reality systems in assisting residents to develop necessary spatial reasoning skills needed for planning brain tumour resection, improving patient outcomes.
机译:计划外科手术干预是一项复杂的任务,需要高度的感知,认知和感觉运动技能,以减少术中和术后并发症。该过程需要空间推理,以在术前采集的医学图像和患者参考系之间进行协调。在神经外科手术的情况下,传统的计划方法往往集中于提供一种可视化医学图像的方法,但很少支持不同空间参考系之间的转换。因此,外科医生通常依靠他们以前的经验和直觉,因为他们唯一的指导就是进行心理改造。对于未成年人,这可能导致更长的手术时间或在额外的认知需求下增加出错的机会。在本文中,我们介绍了一种混合的增强/虚拟现实系统,以促进训练以计划常见的神经外科手术,脑肿瘤切除术。拟议的系统在设计和评估时明确考虑了人为因素,从而减轻了思维转变的难度。我们的结果表明,与传统的计划环境相比,拟议的系统大大提高了非临床医生的绩效,而与执行的感觉运动任务无关。此外,临床医生对建议系统的使用大大减少了执行临床相关任务的时间()。这些结果证明了混合现实系统在协助居民发展计划脑肿瘤切除所需的必要空间推理技能,改善患者预后方面的作用。

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