A Pilot Clinical and Technical Validation of an Immersive Virtual Reality Platform for 3D Anatomical Modeling and Contouring in Support of Surgical and Radiation Oncology Treatment Planning.

Jason Belec, Justin Sutherland, Matthew Volpini, Kawan Rakhra, Dal Granville, Dan La Russa, Teresa Flaxman, Eduardo Portela De Oliveira, Rafael Glikstein, Marlise P Dos Santos, Joel Werier, Miller MacPherson, Richard I Aviv, Vimoj Nair
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Abstract

The aim of this study was to validate a novel medical virtual reality (VR) platform used for medical image segmentation and contouring in radiation oncology and 3D anatomical modeling and simulation for planning medical interventions, including surgery. The first step of the validation was to verify quantitatively and qualitatively that the VR platform can produce substantially equivalent 3D anatomical models, image contours, and measurements to those generated with existing commercial platforms. To achieve this, a total of eight image sets and 18 structures were segmented using both VR and reference commercial platforms. The image sets were chosen to cover a broad range of scanner manufacturers, modalities, and voxel dimensions. The second step consisted of evaluating whether the VR platform could provide efficiency improvements for target delineation in radiation oncology planning. To assess this, the image sets for five pediatric patients with resected standard-risk medulloblastoma were used to contour target volumes in support of treatment planning of craniospinal irradiation, requiring complete inclusion of the entire cerebral-spinal volume. Structures generated in the VR and the commercial platforms were found to have a high degree of similarity, with dice similarity coefficient ranging from 0.963 to 0.985 for high-resolution images and 0.920 to 0.990 for lower resolution images. Volume, cross-sectional area, and length measurements were also found to be in agreement with reference values derived from a commercial system, with length measurements having a maximum difference of 0.22 mm, angle measurements having a maximum difference of 0.04°, and cross-sectional area measurements having a maximum difference of 0.16 mm2. The VR platform was also found to yield significant efficiency improvements, reducing the time required to delineate complex cranial and spinal target volumes by an average of 50% or 29 min.

Abstract Image

沉浸式虚拟现实平台的试点临床和技术验证,用于三维解剖建模和轮廓塑造,以支持肿瘤外科和放射治疗规划。
本研究的目的是验证一种新型医疗虚拟现实(VR)平台,该平台用于放射肿瘤学的医学影像分割和轮廓绘制,以及三维解剖建模和模拟,以规划包括外科手术在内的医疗干预措施。验证的第一步是定量和定性地验证虚拟现实平台是否能生成与现有商业平台基本等效的三维解剖模型、图像轮廓和测量结果。为此,使用 VR 和参考商业平台共分割了 8 组图像和 18 个结构。图像集的选择涵盖了扫描仪制造商、模式和体素尺寸的广泛范围。第二步是评估 VR 平台能否提高放射肿瘤规划中靶点划分的效率。为了评估这一点,我们使用了五名切除标准风险髓母细胞瘤的儿科患者的图像集来勾画目标体积,以支持颅脊柱照射的治疗规划,这要求完全包含整个脑脊液体积。研究发现,VR 和商业平台生成的结构具有高度相似性,高分辨率图像的骰子相似系数为 0.963 至 0.985,低分辨率图像的骰子相似系数为 0.920 至 0.990。此外,还发现体积、横截面积和长度测量值与商用系统得出的参考值一致,长度测量值的最大差异为 0.22 毫米,角度测量值的最大差异为 0.04°,横截面积测量值的最大差异为 0.16 平方毫米。研究还发现,VR 平台还能显著提高效率,将划定复杂颅骨和脊柱目标体积所需的时间平均缩短 50%,即 29 分钟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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