A Nomogram to Predict Recurrence and Survival of High-Risk Patients Undergoing Sublobar Resection for Lung Cancer: An Analysis of a Multicenter Prospective.

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Presentation transcript:

A Nomogram to Predict Recurrence and Survival of High-Risk Patients Undergoing Sublobar Resection for Lung Cancer: An Analysis of a Multicenter Prospective Study (ACOSOG Z4032) Michael S. Kent, MD, Sumithra J. Mandrekar, PhD, Rodney Landreneau, MD, Francis Nichols, MD, Nathan R. Foster, MS, Thomas A. DiPetrillo, MD, Bryan Meyers, MD, Dwight E. Heron, MD, MBA, David R. Jones, MD, Angelina D. Tan, BS, Sandra Starnes, MD, Joe B. Putnam, MD, Hiran C. Fernando, MD The Annals of Thoracic Surgery Volume 102, Issue 1, Pages 239-246 (July 2016) DOI: 10.1016/j.athoracsur.2016.01.063 Copyright © 2016 The Society of Thoracic Surgeons Terms and Conditions

Fig 1 The patient Consolidated Standards of Reporting Trials (CONSORT) diagram. (CT = computed tomography; IRB = Institutional Review Board; NSCLC = non-small cell lung cancer; SR = sublobar resection; SRB = sublobar resection plus brachytherapy.) The Annals of Thoracic Surgery 2016 102, 239-246DOI: (10.1016/j.athoracsur.2016.01.063) Copyright © 2016 The Society of Thoracic Surgeons Terms and Conditions

Fig 2 Nomogram for predicting 5-year overall survival (OS). (Dlco = diffusing capacity of lung for carbon monoxide.) The Annals of Thoracic Surgery 2016 102, 239-246DOI: (10.1016/j.athoracsur.2016.01.063) Copyright © 2016 The Society of Thoracic Surgeons Terms and Conditions

Fig 3 Calibration plot for the 5-year overall survival (OS) nomogram. The Annals of Thoracic Surgery 2016 102, 239-246DOI: (10.1016/j.athoracsur.2016.01.063) Copyright © 2016 The Society of Thoracic Surgeons Terms and Conditions