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Non-invasive Characterization of Peripheral Pulmonary Nodules of the Lung Adenocarcinoma Spectrum and Correlation with Clinical Outcomes using CANARY (Computer-Aided Nodule Assessment and Risk Yield)

Principal Investigator
Name
Tobias Peikert
Degrees
MD
Institution
Mayo Clinic Rochester
Position Title
Assistant Professor
Email
About this CDAS Project
Study
NLST (Learn more about this study)
Project ID
201206-0021
Initial CDAS Request Approval
Jun 21, 2012
Title
Non-invasive Characterization of Peripheral Pulmonary Nodules of the Lung Adenocarcinoma Spectrum and Correlation with Clinical Outcomes using CANARY (Computer-Aided Nodule Assessment and Risk Yield)
Summary
Research Plan: Given the high rate of false positive LD-CT screening test non-invasive tools to distinguish increasing numbers of screening detected pulmonary nodules of the adenocarcinoma spectrum from false positive pulmonary nodules (benign nodules) are urgently needed. (Aim#1) In addition, the implementation of individualized management of screening detected adenocarcinomas requires the development of imaging based risk stratification strategies to identify clinically indolent and aggressive lesions prior to their surgical resection. (Aim#2) Our preliminary data indicate that computer-aided image analysis using CANARY can predict histological tissue invasion as a surrogate maker for patient outcomes.
Collaborators

Kavita Garg
Hrudaya Nath
Fenghai Duan
Maldonado
Rajagopalan
Robb
Bartholmai
et al

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