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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
peikert.tobias@mayo.edu

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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