Malignancy risk stratification of cystic renal lesions based on a contrast-enhanced CT-based machine learning model and a clinical decision algorithm.

Abstract

Authors

• Jérémy Dana
  IHU of Strasbourg, Strasbourg, France; Inserm & University of Strasbourg UMR-S1110, Strasbourg, France; Faculty of Medicine, University of Paris, Paris, France.
• Thierry L Lefebvre
  Medical Physics Unit, McGill University, Montreal, Canada.
• Peter Savadjiev
  Harvard Medical School, Boston MA, USA.
• Sylvain Bodard
  Department of Radiology, University of Paris Cite, Necker Hospital, Paris, France.
• Simon Gauvin
  Department of Diagnostic Radiology, McGill University, Montreal, Canada.
• Sahir Rai Bhatnagar
  Department of Diagnostic Radiology, McGill University, Montreal, Canada.
• Reza Forghani
  Department of Radiology, McGill University Health Centre, 1001 Decarie Blvd, Room C02.5821, Montreal, QC, Canada H4A 3J1; Augmented Intelligence & Precision Health Laboratory (AIPHL), Research Institute of the McGill University Health Centre, Montreal, Canada; Segal Cancer Centre and Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Canada; Gerald Bronfman Department of Oncology, McGill University, Montreal, Canada; and Department of Otolaryngology-Head and Neck Surgery, McGill University, Montreal, Canada.
• Olivier Hélénon
  Assistance Publique - Hôpitaux de Paris, Paris University, Paris, France.
• Caroline Reinhold
  Department of Radiology, McGill University Health Center, Montréal, Québec, Canada.

Keywords

External Resources