Literature DB >> 31022725

Transition from video-assisted thoracoscopic to robotic esophagectomy: a single surgeon's experience.

Yin-Kai Chao1, Yu-Wen Wen1,2, Wen-Yu Chuang3, Robert J Cerfolio4.   

Abstract

Lymph node dissection (LND) along the left recurrent laryngeal nerve (RLN) is a technically challenging part of esophageal cancer surgery, especially after chemoradiotherapy (CRT). Robotic surgery holds promise to increase its safety and feasibility. The aim of this study was to describe a single thoracoscopic surgeon's experience related to the transition from video-assisted esophagectomy (VATE) to robotic esophagectomy (RE)-with a special focus on the safety of left RLN LND. Patients who underwent minimally invasive esophagectomy and RLN dissection following CRT were dichotomized according to the use of robotic surgery (robotic esophagectomy [RE] versus video-assisted thoracoscopic esophagectomy [VATE]). The following parameters were determined: (1) number of dissected nodes, (2) rates of RLN palsy, (3) rates of perioperative complications, and (4) learning curve. Learning curve analysis was performed using the 10-patient moving average (MA) for operation times and with the cumulative sum (CUSUM) method for left RLN LND (target failure rate: 15%). The RE and VATE groups consisted of 39 and 67 patients, respectively. The intraoperative identification of the left RLN was more common in the RE group (97.4%) than in the VATE group (68.7%; P < 0.001). Postoperative left RLN palsy was significantly more frequent in the VATE group (26.9%) than in the RE group (10.3%; P = 0.042), with a higher rate of pneumonia in the former (16.4% versus 2.6%; P = 0.03). The MA chart revealed a downward trend followed by a flattening of the RE operation time at operation number 17 and 29, respectively. CUSUM analysis showed that the left RLN palsy rate decreased to the target rate after 12 operations. We conclude that at least 12 cases are required for a surgeon with prior experience in VATE to safely accomplish left RLN LND through a robotic approach.
© The Author(s) 2019. Published by Oxford University Press on behalf of International Society for Diseases of the Esophagus. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  esophageal cancer; minimally invasive esophagectomy; recurrent laryngeal nerve lymph node; robotic surgery

Year:  2020        PMID: 31022725     DOI: 10.1093/dote/doz033

Source DB:  PubMed          Journal:  Dis Esophagus        ISSN: 1120-8694            Impact factor:   3.429


  6 in total

Review 1.  Robotic-assisted minimally invasive esophagectomy: past, present and future.

Authors:  Gijsbert I van Boxel; B Feike Kingma; Frank J Voskens; Jelle P Ruurda; Richard van Hillegersberg
Journal:  J Thorac Dis       Date:  2020-02       Impact factor: 2.895

2.  Pushing the envelope of minimally invasive esophagectomy.

Authors:  Chien-Hung Chiu; Yin-Kai Chao
Journal:  J Thorac Dis       Date:  2019-10       Impact factor: 2.895

3.  The Value of Paratracheal Lymphadenectomy in Esophagectomy for Adenocarcinoma of the Esophagus or Gastroesophageal Junction: A Systematic Review of the Literature.

Authors:  Amaia Gantxegi; B Feike Kingma; Jelle P Ruurda; Grard A P Nieuwenhuijzen; Misha D P Luyer; Richard van Hillegersberg
Journal:  Ann Surg Oncol       Date:  2021-11-29       Impact factor: 5.344

Review 4.  Robotics and minimally invasive esophageal surgery.

Authors:  Ealaf Shemmeri; Jon O Wee
Journal:  Ann Transl Med       Date:  2021-05

5.  Mediastinal anatomical landmarks, their variants and tips for video-assisted thoracoscopic navigation during oesophageal extirpation.

Authors:  Sergey Dydykin; Friedrich Paulsen; Tatyana Khorobykh; Natalya Mishchenko; Marina Kapitonova; Sergey Gupalo; Tatyana Bogoyavlenskaya; Vadim Agadzhanov; Pashad Salikhov
Journal:  Surg Radiol Anat       Date:  2021-08-23       Impact factor: 1.246

6.  Robot-assisted minimally invasive esophagectomy versus video-assisted minimally invasive esophagectomy: a systematic review and meta-analysis.

Authors:  Hao Chen; Yiyang Liu; Hao Peng; Rongchun Wang; Kang Wang; Demin Li
Journal:  Transl Cancer Res       Date:  2021-11       Impact factor: 1.241

  6 in total

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