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Predicting Lung Cancer Prior to Surgical Resection in Patients with Lung Nodules

Thursday, September 25, 2014

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Source Name: Journal of Thoracic Oncology


Deppen, Stephen A.; Blume, Jeffrey D.; Aldrich, Melinda C.; Fletcher, Sarah A.; Massion, Pierre P.; Walker, Ronald C.; Chen, Heidi C.; Speroff, Theodore; Degesys, Catherine A.; Pinkerman, Rhonda; Lambright, Eric S.; Nesbitt, Jonathan C.; Putnam, Joe B.; Grogan, Eric L.

A model for predicting lung cancer in patients with suspicious lung nodules (TREAT) was developed using single institutional data (Vanderbilt), validated using data from another institution, and compared to the Mayo Clinic predictive model.  The model accuracy was 87% in the development cohort and 89% in the validation cohort, compared to 80% in the Mayo Clinic model. 

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