CT-based Biomarker for Diagnosis of COPD Phenotypes and Disease Progression

DESCRIPTION provided by applicant Chronic obstructive pulmonary disease COPD is a highly and increasingly prevalent disorder characterized by incomplete reversible airflow limitations It is presently the third leading cause of death in the US with over million peopl suffering from the disease Pulmonary function tests are used to identify global lung function impairment however determining the specific cause of decreased lung function is necessary in order to choose the best treatment strategy We have recently developed the Parametric Response Map PRM as a CT based imaging biomarker capable of diagnosing the two major phenotypes in COPD functional small airways disease fSAD and emphysema This diagnostic biomarker is a game changer for radiological and pulmonary medicine practice but in order for its impact to be fully realized a commercial FDA approved diagnostic analysis and reporting software application must be developed We propose to develop PRM as a CT imaging biomarker for assessment and diagnosis of COPD phenotypes and for visualizing detailed spatial information related to disease location The goals of this proposal will focus on development of a commercial PRM diagnostic software application including its validation as a surrogate marker of patient health status using images and patient information obtained from the NIH sponsored clinical trial COPDGene First the PRM algorithm will be developed into a commercially viable software package After validating the output of each individual component of the commercial PRM software against the in house analysis of the inventors of PRM at the University of Michigan the complete PRM analysis of patients by the new software will be compared to previously published results to confirm that the commercial software gives accurate PRM results Then the CT images from patients will be analyzed to optimize the input parameters of the PRM analysis to ensure that the PRM results accurately predict COPD progression Overall it is anticipated that the successful outcome of this effort will significanty improve the diagnostic capability of CT imaging for COPD leading to improved patient care and a reduction in cost to the healthcare system PUBLIC HEALTH RELEVANCE This proposal will develop a commercial software package that performs a Parametric Response Map analysis on CT images of patients with chronic obstructive pulmonary disease COPD presently the third leading cause of death in the US in order to give physicians a more detailed description of the underlying cause of COPD for that patient The successful outcome of this effort will give physicians greater insight into which course of treatment is appropriate for each individual patient leading to improved patient care and a reduction in cost to the healthcare system