Multimodal Image-Guided Intervention System for Lung-Cancer Diagnosis and Staging

用于肺癌诊断和分期的多模态图像引导干预系统

• 批准号: 8133730
• 负责人: William Evan Higgins
• 金额: $ 40.36万
• 依托单位: PENNSYLVANIA STATE UNIVERSITY, THE
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-24 至 2015-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8133730
• 关键词: Accounting; Address; Area; Benchmarking; Biopsy; Bronchoscopes; Bronchoscopy; Cancer Etiology; Cancer Patient; Cessation of life; Chest; Clinical; Computers; Coughing; Coupled; Data; Development; Diagnosis; Diagnostic Neoplasm Staging; FDA approved; Gastroenterology; Goals; Gynecology; Human; Image; Imagery; Imaging Techniques; Incidence; Institutes; Licensing; Location; Lung diseases; Malignant Neoplasms; Malignant neoplasm of lung; Mediastinal lymph node group; Methodology; Methods; Modality; Motion; Multimodal Imaging; Nephrology; Neurology; Nodule; Outcome Study; Patient Care; Patients; Performance; Peripheral; Phase; Physicians; Pilot Projects; Planning Techniques; Positioning Attribute; Positron-Emission Tomography; Procedures; Process Assessment; Pulmonary Emphysema; Radiology Specialty; Research; Resolution; Safety; Screening procedure; Site; Source; Staging; Structure; Survival Rate; System; Techniques; Technology; Testing; Three-Dimensional Imaging; Tissue Sample; Tomography, Computed, Scanners; Translating; Trees; Ultrasonography; Urology; Validation; Virtual Endoscopy; Work; X-Ray Computed Tomography; anticancer research; base; cancer diagnosis; cancer site; clinical research site; experience; image guided intervention; image processing; improved; innovation; lung cancer screening; lymph nodes; millimeter; minimally invasive; molecular imaging; multidisciplinary; public health relevance; skills; software systems; success; tool; treatment planning

DESCRIPTION (provided by applicant): The goal of this project is to construct a multimodal image-guided intervention (IGI) system for the planning and guidance of bronchoscopy. The system will have the following features: 1) be easy to use, independent of physician skill and experience; 2) enable better-focused, confident tissue sampling, with fewer patient complications; 3) offer robust guidance; and 4) better exploit the available image sources. Lung cancer is the leading cause of cancer death worldwide. Many technical innovations in multimodal radiologic imaging and bronchoscopy have emerged recently in the effort against lung cancer. Multidetector computed-tomography (MDCT) scanners provide three-dimensional (3D) sub-millimeter-resolution X-ray CT images of the chest, positron emission tomography (PET) scanners give complementary molecular-imaging information, and new integrated PET/CT scanners combine the strengths of both modalities. State-of-the- art bronchoscopes provide vivid endobronchial video enabling navigation deep into the airway-tree periphery, while complementary endobronchial ultrasound (EBUS) reveals local views of anatomical structures outside the airways. Nevertheless, the 5-year survival rate of lung-cancer patients remains under 15%, implying that these new tools have not yet been fully exploited. The objective now is to devise an IGI system that incorporates multimodal imaging techniques throughout the lung-cancer assessment process. In particular, the project is driven by the following hypothesis: A synergistic integration of multimodal 3D imaging and bronchoscopy, coupled with computer-based image processing, improves current techniques for the diagnosis and staging of lung cancer. The specific aims of the project are as follows: Aim 1: Devise methods for multimodal procedure planning and image-guided bronchoscopy. Aim 2: Construct a fully integrated multimodal image-guided intervention system. Aim 3: Perform human studies to optimize and validate the complete system. If successful, the proposed multimodal imaging, biopsy, and treatment-planning techniques could enable correct diagnosis and staging of lung cancer preoperatively in virtually all patients. In addition, the proposed techniques would greatly facilitate other ongoing developments striving to localize early lung cancers and assist in the treatment of emphysema and other lung diseases. Finally, many of the proposed basic methods should be applicable to other areas, such as urology, gastroenterology, nephrology, gynecology, and neurology. PUBLIC HEALTH RELEVANCE: Lung cancer is the leading cause of cancer death worldwide, accounting for over 1.3 million deaths in 2008. The long-term goal of this project is to construct a multimodal image- guided intervention system for more effective lung-cancer diagnosis and staging.

描述（由申请人提供）：本项目的目标是构建一个多模式图像引导介入（IGI）系统，用于计划和引导支气管镜检查。该系统将具有以下特征：1）易于使用，不依赖于医生的技能和经验; 2）能够更好地聚焦、自信地进行组织采样，患者并发症更少; 3）提供稳健的引导;以及4）更好地利用可用的图像源。肺癌是全球癌症死亡的主要原因。近年来，多模式放射成像和支气管镜检查在肺癌治疗中出现了许多技术创新。多探测器计算机断层扫描（MDCT）扫描仪提供胸部的三维（3D）亚毫米分辨率X射线CT图像，正电子发射断层扫描（PET）扫描仪提供互补的分子成像信息，新的集成PET/CT扫描仪联合收割机结合了两种模式的优势。最先进的支气管镜可提供生动的支气管内视频，使导航深入到气道树外围，而补充支气管内超声（EBUS）可显示气道外解剖结构的局部视图。然而，肺癌患者的5年生存率仍低于15%，这意味着这些新工具尚未得到充分利用。 现在的目标是设计一个IGI系统，在整个肺癌评估过程中采用多模式成像技术。特别是，该项目是由以下假设驱动的：多模式3D成像和支气管镜检查的协同整合，加上基于计算机的图像处理，改善了当前肺癌的诊断和分期技术。该项目的具体目标如下：目标1：设计多模式程序规划和图像引导支气管镜检查的方法。目标2：构建一个完全集成的多模态图像引导介入系统。目标3：进行人体研究，以优化和验证整个系统。如果成功的话，所提出的多模式成像、活检和治疗计划技术可以使几乎所有患者在术前正确诊断和分期肺癌。此外，所提出的技术将极大地促进其他正在进行的努力定位早期肺癌和帮助治疗肺气肿和其他肺部疾病的发展。最后，许多提出的基本方法应该适用于其他领域，如泌尿科，胃肠科，肾脏科，妇科和神经科。 公共卫生相关性：肺癌是全世界癌症死亡的主要原因，2008年死亡人数超过130万。本计画的长期目标是建立一个多模式影像导引介入系统，以更有效的进行肺癌的诊断与分期。