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

Affiliations

¹ Division of Allergy, Pulmonary and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
² Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA.
³ Department of Radiology, Mayo Clinic, Rochester, MN, USA.
⁴ Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA.

Comment

Fabien Maldonado et al. J Thorac Dis. 2016 Oct.

. 2016 Oct;8(10):E1438-E1440.

doi: 10.21037/jtd.2016.10.33.

¹ Division of Allergy, Pulmonary and Critical Care Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
² Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA.
³ Department of Radiology, Mayo Clinic, Rochester, MN, USA.
⁴ Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN, USA.

No abstract available

Conflict of interest statement

All authors have a patent CANARY licensed to Imbio (<$5,000 each in royalties).

The bell tolls for indeterminant lung nodules: computer-aided nodule assessment and risk yield (CANARY) has the wrong tune.
Wilson DO, Pu J. Wilson DO, et al. J Thorac Dis. 2016 Aug;8(8):E836-7. doi: 10.21037/jtd.2016.07.85. J Thorac Dis. 2016. PMID: 27618999 Free PMC article. No abstract available.

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