Retroauricular endoscopic and robotic versus conventional neck dissection for oral cancer

Renan Bezerra Lira, Thiago Celestino Chulam, Genival Barbosa de Carvalho, Willem Hans Schreuder, Yoon Woo Koh, Eun Chang Choi, Luiz Paulo Kowalski

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)


There has been a significant increase in concern towards improving aesthetic and functional outcomes without compromising the oncologic effectiveness in head and neck surgery. The aim of the current study is to assess the feasibility and oncological outcome of the retroauricular approach for endoscopic and robot-assisted selective neck dissection (SND) for oral cancer in comparison with the conventional SND. A retrospective single institute cohort study was designed. Patients undergoing an SND for oral cavity carcinoma were included and allocated into two groups: (1) retroauricular approach group for endoscopic-assisted or robot-assisted SND or (2) transcervical approach group for the conventional SND. Primary endpoint was the perioperative and postoperative treatment outcomes. Secondary endpoint was the early oncologic outcome. Sixty patients were included (17 retroauricular; 43 conventional). For the primary outcome, only a significant longer operative time in the retroauricular group was identified. No unintentional injury or conversion to the conventional surgery was recorded. There was no significant difference identified in the early oncologic outcome, including number of retrieved lymph nodes and disease-free survival. Postoperative aesthetic results were considered superior when subjectively compared to the conventional approaches. Endoscopic and robot-assisted SND via a retroauricular approach is feasible, safe, and oncologically efficient when compared with the conventional surgery in a short follow-up scenario. It can be used for selected cases with a clear cosmetic benefit. However, further research with longer follow-up and patient satisfaction analysis is mandatory.

Original languageEnglish
Pages (from-to)117-129
Number of pages13
JournalJournal of Robotic Surgery
Issue number1
Publication statusPublished - 2018 Mar 1

Bibliographical note

Publisher Copyright:
© 2017, Springer-Verlag London.

All Science Journal Classification (ASJC) codes

  • Surgery
  • Health Informatics


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