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Lung nodule detection using 3D "visual palpation" via standard thoracoscopes

Lung nodule detection using 3D "visual palpation" via standard thoracoscopes
通过标准胸腔镜使用 3D“视觉触诊”检测肺结节
批准号:
8124257
负责人:
Jason D Harry
金额:
$17.99万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-05-01 至 2012-07-30

项目摘要

项目成果

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相关文献

中文摘要
翻译
描述(由申请人提供):外科医生每年进行数万例手术切除可疑的肺结节。从历史上看,这需要通过胸壁大切口进行开放性手术(开胸手术)。在过去的10-15年里,微创手术(MIS)方法在腹部和胸部手术中越来越普遍,对患者和医疗保健经济学都有显著的好处。然而,开放手术在MIS中缺少一个关键方面:直接组织触诊(触摸)。虽然对许多MIS手术来说,触觉反馈的丧失只是一个麻烦,但在胸腔镜肺活检和切除术中,触觉反馈的丧失是至关重要的,因为很难发现肺表面下的结节。这大大增加了遗漏结节的风险,并可能迫使外科医生放弃微创入路,打开胸部,直接进行手动触诊。术前结节定位技术的应用取得了不同程度的成功,但都涉及复杂的ct引导标记和笨重的术中器械。工程师和科学家已经承担了在MIS中恢复触诊的技术挑战。文献中描述了一系列设备,其中许多确实能够定位隐藏的结节。然而,值得注意的是,没有一种是常用的;它们很笨重,有潜在的危害,难以解释,而且价格昂贵。当外科医生需要在MIS中感觉结节时,他们求助于扩大切口并将手指插入孔中。在这个研究项目中,我们将测试一种新的三维图像采集技术的能力,为肺表面下结节提供实时“视觉触诊”。该项目的最终目标是提供一种医疗摄像机产品,结合常见的手术室设备,在MIS中提供第一个实用、直观、即时和低成本的非触摸触诊手段。最近开发的光电设备通过标准医疗范围以视频帧率获取高分辨率3D地形数据。通过瞬时气体喷射使肺表面向内偏转,位于表面以下的相对较硬的结节将改变上覆组织的偏转,并被视为表面形貌的畸变。可以对三维地形数据进行分析和增强,实时显示给外科医生,立即直观地显示隐藏的结节。该项目的具体目标是:(1)设计和制造一个连接到医疗注入器的小型气体喷射探针,(2)编写用于地形分析的定制软件,以标记隐藏结节造成的表面畸变,以及(3)在切除的动物和人类肺组织上测试该系统。
英文摘要
DESCRIPTION (provided by applicant): Surgeons perform tens of thousands of operations each year to resect suspicious lung nodules. Historically this necessitated an open surgical approach (thoracotomy) through a large chest wall incision. Over the last 10-15 years, minimally invasive surgical (MIS) approaches have become increasingly common in abdominal and thoracic surgery, with significant benefits accruing to both patients and healthcare economics. However, one key aspect of open surgery is missing in MIS: direct tissue palpation (touch). While a mere nuisance for many MIS procedures, the loss of tactile feedback is critically important during thoracoscopic lung biopsies and resections as it is very difficult to detect nodules beneath the lung surface. This significantly increases the risk of missing a nodule and can force the surgeon to abandon the minimally invasive approach, open the chest, and perform direct manual palpation. Pre-operative techniques to nodule localization have been used with varying success, but all involve complex CT-guided marking and bulky intraoperative instruments. Engineers and scientists have undertaken the technical challenge of restoring palpation in MIS. An array of devices is described in the literature, and many are indeed capable of locating hidden nodules. Significantly, however, none is in common use; they are cumbersome, potentially injurious, difficult to interpret, and expensive. When surgeons need to feel for nodules during MIS, they resort to enlarging the incision and sticking a finger into the hole. In this research project, we will test the ability of a new three-dimensional image acquisition technology to provide real-time "visual palpation" for sub-surface lung nodules. The eventual goal of the program is to offer a medical video camera product that, combined with common operating room equipment, provides the first practical, intuitive, immediate, and low cost means of non-touch palpation in MIS. A recently developed opto-electronic device acquires high-resolution 3D topographic data at video frame rates through standard medical scopes. By deflecting the lung surface inward with a momentary gas jet, relatively harder nodules located below the surface will alter the deflection of the overlying tissue and be seen as aberrations in the surface topography. The 3D topographic data can be analyzed and enhanced for display in real time to the surgeon, immediately and intuitively revealing the hidden nodule. The specific aims of this project are (1) design and fabricate a small gas-jet probe that connects to a medical insufflator, (2) write custom software for topographic analysis to tag surface aberations created by hidden nodules, and (3) test the system on excised animal and human lung tissue. PUBLIC HEALTH RELEVANCE: Surgery to remove cancerous lung nodules from saves lives. The preferred minimally invasive surgical approach can miss nodules when they have grown beneath the surface of the lung. This project strives to develop and test a practical, intuitive, and low-cost 3D image acquisition and analysis solution to the problem of locating hidden lung nodules.
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