Work

Appreciating the shades of gray: a case for Computer-Aided Nodule Assessment and Risk Yield (CANARY)-based risk stratification of lung adenocarcinomas

Year: 2016

Type: article

Abstract: We read with great interest the invited commentary by Drs. Wilson and Pu on our computed tomography (CT)-based quantitative imaging tool for the non-invasive risk stratification of lung adenocarcinomas: Computer-Aided Nodule Assessment and Risk Yield (CANARY) (1). While we are pleased to see the discussion on the scope and relevance of our research, we would like to use this opportunity to respond to the points made by our colleagues and attempt to clarify any misunderstanding about CANARY.

Source: Journal of Thoracic Disease

DOI: 10.21037/jtd.2016.10.33

Authors: Fabien Maldonado, Tobias Peikert, Brian J. Bartholmai, Srinivasan Rajagopalan, Ronald A. Karwoski

Institutions: Vanderbilt University Medical Center, Mayo Clinic

Language: English

Topic: Lung Cancer Diagnosis and Treatment

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

Funder: U.S. Department of Defense