Lung Tissue Research Consortium

Summary of objectives

As one of the leading international clinical centers for the diagnosis and treatment of pulmonary diseases, the Mayo Clinic, the Mayo Rochester Department of Radiology, and the investigators named in this proposal are unquestionably qualified to serve as the Radiology Center for the Lung Tissue Research Consortium. We propose a plan that fully utilizes the local expertise in pulmonary imaging and experience in multi-center trials regarding pulmonary disease. The investigators offer expert specialist interpretation and evaluation of thoracic CT images by leading authorities in the evaluation of emphysema and infiltrative lung disease. Our proposal suggests novel methods for data acquisition ways that take advantage of contemporary multi-slice CT imaging. The Mayo Clinic has abundant resources, practical experience, and capacity for secure transfer and storage of extremely large amounts of data. The overall goals of this scientific endeavor include application of proven computer-assisted analysis algorithms and development of new efficient tools to quantify standardized measures of pulmonary disease, as well as thorough semi-quantitative assessments that can be directly correlated to clinical and pathologic findings. Our proposal suggests the value of characterizing specific features of pulmonary disease including automated texture analysis, vascular attenuation patterns, regional pulmonary elasticity and architectural distortion, quantification of airway volume, total and functional lung parenchymal volumes, and computerized segmentation of pathology. We anticipate that the leadership of Dr. Swensen and the application of expertise from the Mayo Clinic in this multi-center study will greatly benefit the scientific endeavors of the Lung Tissue Research Consortium and will assure validated practical results from the Radiology Center. We hope that our participation will result in a better understanding of complicated pulmonary pathology, including both infiltrative pulmonary disease and emphysema. The long term goal of this project includes the development of standardized methods of pulmonary imaging and analysis which would facilitate the accurate classification of specific pulmonary pathology without tissue sampling and match specific imaging features with corresponding clinical measures of disease severity.