Department of Radiology, Stanford University School of Medicine, Stanford, California; Department of Bioengineering, Stanford University, Stanford, California.
Department of Electrical Engineering, Stanford University, Stanford, California.
Ann Thorac Surg. 2020 Jul;110(1):290-295. doi: 10.1016/j.athoracsur.2020.01.060. Epub 2020 Mar 5.
Identifying small lung lesions during minimally invasive thoracic surgery can be challenging. We describe 3-dimensional mixed-reality visualization technology that may facilitate noninvasive nodule localization.
A software application and medical image processing pipeline were developed for the Microsoft HoloLens to incorporate patient-specific data and provide a mixed-reality tool to explore and manipulate chest anatomy with a custom-designed user interface featuring gesture and voice recognition.
A needs assessment between engineering and clinical disciplines identified the potential utility of mixed-reality technology in facilitating safe and effective resection of small lung nodules. Through an iterative process, we developed a prototype employing a wearable headset that allows the user to (1) view a patient's original preoperative imaging; (2) manipulate a 3-dimensional rendering of that patient's chest anatomy including the bronchial, osseus, and vascular structures; and (3) simulate lung deflation and surgical instrument placement.
Mixed-reality visualization during surgical planning may facilitate accurate and rapid identification of small lung lesions during minimally invasive surgeries and reduce the need for additional invasive preoperative localization procedures.
在微创性胸部手术中识别小的肺部病变可能具有挑战性。我们描述了一种 3 维混合现实可视化技术，它可能有助于实现非侵入性结节定位。
为 Microsoft HoloLens 开发了一个软件应用程序和医学图像处理管道，以整合患者特定的数据，并提供一种混合现实工具，通过具有手势和语音识别功能的自定义用户界面来探索和操作胸部解剖结构。
工程和临床学科之间的需求评估确定了混合现实技术在促进安全有效的小肺结节切除术中的潜在效用。通过一个迭代过程，我们开发了一个原型，使用可穿戴耳机，允许用户：（1）查看患者的原始术前图像；（2）操作患者胸部解剖的 3 维渲染，包括支气管、骨骼和血管结构；（3）模拟肺萎陷和手术器械放置。
在手术计划期间进行混合现实可视化可能有助于在微创性手术中准确、快速地识别小的肺部病变，并减少对额外的侵入性术前定位程序的需求。
