CT Characteristics of Emphysema for Evaluation of Pulmonary Nodules

肺气肿CT特征评价肺结节

• 批准号: 10405873
• 负责人: Charles Matthew Kinsey
• 金额: $ 6.5万
• 依托单位: UNIVERSITY OF VERMONT & ST AGRIC COLLEGE
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-01 至 2022-03-09
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10405873
• 关键词: Address; Advisory Committees; Biological Markers; Biometry; Blood Vessels; Cancer Center; Cancer Model; Cessation of life; Characteristics; Chiroptera; Chronic Obstructive Airway Disease; Complement; Computer Models; Coupled; Data; Data Set; Development; Diagnosis; Enrollment; Environment; Epidemiology; Epigenetic Process; Evaluation; Genes; Goals; Growth; Individual; International; Intervention; Knowledge; Lung; Lung CAT Scan; Lung nodule; Malignant Neoplasms; Malignant neoplasm of lung; Malignant neoplasm of thorax; Mentors; Molecular; Morbidity - disease rate; Nodule; Performance; Physicians; Physiology; Principal Investigator; Procedures; Process; Pulmonary Emphysema; Radiology Specialty; Research; Research Personnel; Resources; Scientist; Specificity; Supervision; Training; Universities; Vermont; Work; X-Ray Computed Tomography; biomarker development; cancer diagnosis; career development; clinical practice; computed tomography screening; cost; design; experience; imaging biomarker; improved; innovation; investigator training; lung cancer screening; medical specialties; mortality; novel; programs; quantitative imaging; screening; screening program; skills

PROJECT SUMMARY/ABSTRACT The original description of the K23 project will not change – as re-iterated below: Research: The National Lung Screening Trial (NLST) demonstrated a 20% reduction in mortality with the use of annual CT screening but with significant morbidity due to procedures performed for evaluation of the 94% of nodules that were not cancerous. The goal of this proposal is to improve the specificity for distinguishing which of these “indeterminate” nodules is lung cancer by using quantitative features associated with emphysema available from a single CT scan. Our preliminary data indicate that moderate centrilobular emphysema (MCE), and its associated vascular features, provide a niche for the growth of nascent lung. An innovative approach of this proposal is to use features of MCE in the sphere of lung around a nodule to improve specificity for detecting cancer. However, increasing specificity results in decreasing sensitivity. In the case of lung cancer screening more “missed” cancers may increase lung cancer deaths. To understand the effect of decreasing sensitivity on mortality we will use the novel UVM Lung Cancer Model, which accurately recapitulates lung cancer death and CT screening rates, to identify an optimal set of biomarkers for identifying cancer among the many screen detected nodules. Candidate: Dr. Kinsey's clinical practice is in Interventional Pulmonary, a specialty that focuses on dealing with the problem of indeterminate nodules. He has applied his MPH epidemiology and biostatistical training, coupled with experience in quantitative CT imaging, to begin to address the problem of indeterminate nodules in the COPD Gene data set and as the Principal Investigator of the UVM Molecular, Epigenetic, and Radiologic Biomarkers for Thoracic Cancers (MEROPTIC)study. However, he needs further training in the process of developing CT features as imaging biomarkers and in computer modeling, which will allow him to understand the effect of deployment of these biomarkers on lung cancer mortality. To address these critical gaps in knowledge his primary mentor, Dr. Jason Bates, has designed a program of didactic training and supervised research that will propel Dr. Kinsey to an independent investigator in the field of lung cancer diagnosis. Environment: Dr. Kinsey's primary mentor, Dr. Bates, is internationally recognized for his work in pulmonary physiology and computer modeling and has a proven track record of training investigators and physician scientists. The co-mentor, Dr. George Washko, is an expert in quantitative imaging analysis and has an established mentoring relationship with Dr. Kinsey. A scientific advisory committee with established expertise in radiology, biostatistics, lung cancer, and biomarker development complements this outstanding mentoring team. Dr. Kinsey is further supported by a network of individuals and resources, under the auspices of the Vermont Lung Center and University of Vermont Cancer Center, that is committed to the development of junior investigators.

项目概要/摘要 K23项目的原始描述不会改变——如下重申： 研究：国家肺部筛查试验 (NLST) 表明，使用该药物可使死亡率降低 20% 每年的 CT 筛查，但由于评估 94% 的患者所执行的程序，发病率很高 非癌性结节。该提案的目标是提高区分哪些内容的特异性 通过使用与肺气肿相关的定量特征，这些“不确定”结节是肺癌 通过一次 CT 扫描即可获得。我们的初步数据表明，中度小叶中心性肺气肿（MCE）， 及其相关的血管特征，为新生肺的生长提供了利基。一种创新方法 该提案是利用结节周围肺球体中 MCE 的特征来提高检测的特异性 癌症。然而，增加特异性会导致敏感性降低。肺癌筛查时 更多“错过”的癌症可能会增加肺癌死亡人数。了解降低敏感性的影响 我们将使用新型 UVM 肺癌模型，该模型准确地概括了肺癌死亡和 CT 筛查率，以确定一组最佳的生物标志物，用于在众多筛查中识别癌症 检测到结节。 候选人：Kinsey 博士的临床实践是介入肺科，​​该专业专注于处理 不确定结节的问题。他应用了公共卫生硕士流行病学和生物统计学培训，再加上 凭借定量CT成像的经验，开始解决不确定结节的问题 COPD 基因数据集以及 UVM 分子、表观遗传学和放射学的首席研究员 胸部癌生物标志物 (MEROPTIC) 研究。不过，在这个过程中，他还需要进一步的训练。 开发 CT 特征作为成像生物标志物和计算机建模，这将使他能够理解 这些生物标志物的部署对肺癌死亡率的影响。为了解决这些关键差距 他的主要导师杰森·贝茨博士设计了一个教学培训计划并进行监督 该研究将推动金赛博士成为肺癌诊断领域的独立研究者。 环境：金赛博士的主要导师贝茨博士因其在肺病领域的工作而获得国际认可 生理学和计算机建模，并拥有培训研究人员和医生的良好记录 科学家。共同导师 George Washko 博士是定量成像分析领域的专家，拥有 与Kinsey博士建立了导师关系。具有成熟专业知识的科学咨询委员会 放射学、生物统计学、肺癌和生物标志物开发补充了这个优秀的指导团队。 金赛博士在佛蒙特州基金会的支持下得到了个人和资源网络的进一步支持 肺中心和佛蒙特大学癌症中心，致力于青少年的发展 调查人员。