Multimodal US-gamma imaging using collaborative robotics for cancer staging biopsies.

Journal: International journal of computer assisted radiology and surgery
Published Date:

Abstract

PURPOSE: The staging of female breast cancer requires detailed information about the level of cancer spread through the lymphatic system. Common practice to obtain this information for patients with early-stage cancer is sentinel lymph node (SLN) biopsy, where LNs are radioactively identified for surgical removal and subsequent histological analysis. Punch needle biopsy is a less invasive approach but suffers from the lack of combined anatomical and nuclear information. We present and evaluate a system that introduces live collaborative robotic 2D gamma imaging in addition to live 2D ultrasound to identify SLNs in the surrounding anatomy.

Authors

  • Marco Esposito
    Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich, Germany. marco.esposito@tum.de.
  • Benjamin Busam
    Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich, Germany.
  • Christoph Hennersperger
    Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich, Germany.
  • Julia Rackerseder
    Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich, Germany.
  • Nassir Navab
    Chair for Computer Aided Medical Procedures & Augmented Reality, TUM School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.
  • Benjamin Frisch
    Computer Aided Medical Procedures (CAMP), Technische Universität München, Munich, Germany.