CT Texture Analysis and Machine Learning Improve Post-ablation Prognostication in Patients with Adrenal Metastases: A Proof of Concept.

Abstract

Authors

• Dania Daye
  Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA. Electronic address: ddaye@mgh.harvard.edu.
• Pedro V Staziaki
  Department of Radiology, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA.
• Vanessa Fiorini Furtado
  Department of Internal Medicine, University of Massachusetts, UMass, Worcester, MA, USA.
• Azadeh Tabari
  Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States; Harvard Medical School, Boston, MA, United States.
• Florian J Fintelmann
  Department of Radiology, Massachusetts General Hospital, Boston, MA.
• Nathan Elie Frenk
  Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, GRB #290, Boston, MA, 02114, USA.
• Paul Shyn
  Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
• Kemal Tuncali
  Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
• Stuart Silverman
  Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
• Ronald Arellano
  Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, GRB #290, Boston, MA, 02114, USA.
• Michael S Gee
  Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
• Raul Nirmal Uppot
  Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, GRB #290, Boston, MA, 02114, USA.

Keywords

External Resources