CT Assessment of Lung Fissures: Anatomy and Correlated Function

肺裂的 CT 评估：解剖结构和相关功能

• 批准号: 7881830
• 负责人: Jiantao Pu
• 金额: $ 18.94万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-05-01 至 2014-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7881830
• 关键词: Affect; Agreement; Anatomy; Atelectasis; Categories; Cause of Death; Chronic Obstructive Airway Disease; Cicatrix; Classification; Classification Scheme; Clinical; Computer Assisted; Correlation Studies; Data Set; Databases; Dependence; Detection; Development; Diagnosis; Diagnostic; Disease; Disease Progression; Early Diagnosis; Evaluation; Fibrosis; Goals; Gold; High Resolution Computed Tomography; Image; Imagery; Imaging Techniques; Individual; Interstitial Lung Diseases; Investigation; Knowledge; Lead; Lobe; Lung; Lung diseases; Measures; Medical center; Methods; Minor; Monitor; Nodule; Patients; Performance; Phenols; Phenotype; Play; Pneumonia; Positioning Attribute; Predisposition; Protocols documentation; Pulmonary Emphysema; Pulmonary function tests; Pulmonology; Radiology Specialty; Reader; Research; Research Personnel; Resected; Resolution; Respiratory physiology; Rest; Role; Scheme; Shapes; Slice; Structure; Subgroup; System; Testing; Three-Dimensional Imaging; Time; Tissues; Treatment Efficacy; United States; Variant; X-Ray Computed Tomography; base; clinical application; computerized; computerized tools; detector; expectation; experience; improved; in vivo; indexing; innovation; interest; lung basal segment; lung cancer screening; novel strategies; prototype; public health relevance; pulmonary function; radiologist; success; technology development; tool; tumor

DESCRIPTION (provided by applicant): Pulmonary diseases rank third among the leading causes of death in the United States. The availability of high resolution MDCT makes it possible to image in-vivo lung structures in previously unattainable details, thus stimulating great interest of using imaging to phenotype lung abnormalities for better understanding of lung anatomy and its correlation to lung function. This may lead to earlier detection and diagnosis as well as possibly to more efficacious individualized patient management. There are indications that fissures integrity and configuration may be correlated with lung function and may play a role in the susceptibility of individuals to the development of specific lung diseases such as COPD (Chronic Obstructive Pulmonary Disease) and ILD (Interstitial Lung Disease). Fissure integrity may also be a primary factor in determining progression of diseases such as pneumonia. However, subjective assessments of fissures completeness and configuration as well as surrounding tissues are typically done subjectively by radiologists and pulmonologists and these assessments are both time consuming and error prone. To take advantages of available advanced CT imaging techniques and to provide a non-invasive way for assessing these relationships, we propose to develop automated computerized schemes to visualize and quantitatively measure and classify pulmonary fissures structure and completeness and then assess correlations, if any, between established lung function measures and differences in lung structures. To achieve these objectives, we will (1) assemble a large and diverse CT database of over 1000 lung CT examinations that cover a wide range of depicted lung diseases, (2) optimize a previously developed prototype computerized scheme for lung fissure detection and lobe segmentation and test its generalizeability, (3) develop an automated quantitative computerized tool for computing a summary index for fissure configuration and fissure incompleteness, (4) evaluate our computerized schemes by comparing it with the subjective results of three experienced radiologists, and (5) assess the correlation, if any, between lung anatomy and lung function using statistical analyses. The unique advantages of this project include but are not limited to: (1) pulmonary fissure/lobe analysis is performed, analyzed and visualized in three-dimensional geometric space using computational geometry analysis and as a result have minimum dependence on anatomical knowledge of lung structure, and (2) lung functions may be studied non-invasively by analyzing pulmonary structures reconstructed from high resolution CT images on either a lobe-by-lobe or a whole lung basis. We are encouraged by the success of our preliminary studies that supports the feasibility of our approach. PUBLIC HEALTH RELEVANCE: This project aims to ascertain information about the relationship, if any, between pulmonary fissures anatomy, including but not limited to fissure completeness and lung function through the development and testing of an objective, automated computerized detection and classification scheme. The long term goal is to enable an objective robust and consistent computerized approach to improve accuracy of early detection and classification (diagnosis) of lung disease and possibly to enable better management of patients as well as provide a useful tool for accurate early assessment of therapeutic efficacy.

描述（由申请人提供）：肺部疾病在美国导致死亡的主要原因中排名第三。高分辨率 MDCT 的出现使得以以前无法获得的细节对体内肺部结构进行成像成为可能，从而激发了人们对使用成像来对肺部异常进行表型分型的极大兴趣，以更好地了解肺部解剖结构及其与肺功能的相关性。这可能会导致更早的检测和诊断，并可能导致更有效的个体化患者管理。有迹象表明，肺裂的完整性和结构可能与肺功能相关，并且可能在个体对特定肺部疾病（例如慢性阻塞性肺疾病（COPD）和间质性肺疾病（ILD））发展的易感性中发挥作用。裂隙完整性也可能是决定肺炎等疾病进展的主要因素。然而，对裂隙完整性和形态以及周围组织的主观评估通常由放射科医生和肺科医生主观地完成，并且这些评估既耗时又容易出错。为了利用现有的先进 CT 成像技术并提供一种非侵入性方法来评估这些关系，我们建议开发自动化计算机化方案，以可视化、定量测量和分类肺裂结构和完整性，然后评估之间的相关性（如果有）建立肺功能测量和肺结构差异。为了实现这些目标，我们将 (1) 建立一个包含 1000 多项肺部 CT 检查的大型且多样化的 CT 数据库，涵盖广泛的肺部疾病描述，(2) 优化先前开发的原型计算机化方案，用于肺裂检测和肺叶分割并测试其普遍性，（3）开发一种自动定量计算机化工具，用于计算裂隙配置和裂隙不完整性的汇总指数，（4）通过将其与三位经验丰富的主观结果进行比较来评估我们的计算机化方案放射科医生，(5) 使用统计分析评估肺解剖结构和肺功能之间的相关性（如果有）。该项目的独特优势包括但不限于：（1）使用计算几何分析在三维几何空间中进行肺裂/肺叶分析、分析和可视化，因此对肺结构解剖知识的依赖性最小，和（2）可以通过分析从逐个肺叶或整个肺的高分辨率 CT 图像重建的肺部结构来非侵入性地研究肺功能。我们对初步研究的成功感到鼓舞，这些研究支持了我们方法的可行性。 公共健康相关性：该项目旨在通过开发和测试客观、自动化的计算机检测和分类方案，确定肺裂解剖结构之间的关系（如果有），包括但不限于裂隙完整性和肺功能。长期目标是实现客观、稳健和一致的计算机化方法，以提高肺部疾病早期检测和分类（诊断）的准确性，并可能更好地管理患者，并为准确的早期评估治疗效果提供有用的工具。