Assessment of Quality Outcomes and Learning Curve for Robot-Assisted Minimally Invasive McKeown Esophagectomy.

Journal: Annals of surgical oncology
Published Date:

Abstract

BACKGROUND: This study aimed to identify the results of the quality assessment and the learning curve of robot-assisted minimally invasive McKeown esophagectomy (RAMIE-MK).

Authors

  • Yang Yang
    Department of Gastrointestinal Surgery, The Third Hospital of Hebei Medical University, Shijiazhuang, China.
  • Bin Li
    Department of Magnetic Resonance Imaging (MRI), Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
  • Rong Hua
    Division of Esophageal Surgery, Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Xiaobin Zhang
    Division of Esophageal Surgery, Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Haoyao Jiang
    Division of Esophageal Surgery, Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Yifeng Sun
    Division of Esophageal Surgery, Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Giulia Veronesi
    Division of Thoracic Surgery, Humanitas Clinical and Research Center, Milan, Italy.
  • Sara Ricciardi
    Unit of Thoracic Surgery, University Hospital of Pisa, Pisa, Italy.
  • Monica Casiraghi
    Division of Thoracic Surgery, European Institute of Oncology, University of Milan, Milan, Italy.
  • Marion Durand
    Department of Thoracic Surgery, Hôpital Privé D'Antony, Ramsay Générale de Santé, Antony, France.
  • Raul Caso
    Division of Thoracic Surgery, Department of Surgery, MedStar Georgetown University Hospital, Washington, DC, USA.
  • Inderpal S Sarkaria
    Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Zhigang Li
    Hefei Institute of Physical Science, Chinese Academy of Sciences Hefei 230036 PR China liuyong@aiofm.ac.cn zhanglong@aiofm.ac.cn wangchongwen1987@126.com.