Literature DB >> 22752682

The ima approach for the quick identification of the right recurrent laryngeal nerve in thyroid cancer surgery.

Akira Miyauchi1, Hiroo Masuoka, Tomonori Yabuta, Mitsuhiro Fukushima, Minoru Kihara, Takuya Higashiyama, Yuuki Takamura, Yasuhiro Ito, Kaoru Kobayashi, Akihiro Miya.   

Abstract

BACKGROUND: The right recurrent laryngeal nerve (RLN) is more difficult to identify than the left RLN. The superior, lateral and inferior approaches are currently used to identify the RLN. This report presents a new technique, called the ima approach (the most inferior approach) for the quick identification of the right RLN.
METHODS: The ima approach involves dissection along the right common carotid artery and division of the most lateral branch of the inferior thyroid veins. The right RLN is identified at the bottom of the RLN triangle. This technique and the conventional inferior approach were applied to 81 and 19 patients with thyroid cancer, respectively.
RESULTS: The ima approach required a significantly shorter time in identifying the nerve than the inferior approach (9.6 ± 16.6 and 31.2 ± 24.4 s, respectively, p < 0.0001).
CONCLUSION: The ima approach is an easy, quick and safe technique for identifying the right RLN.

Entities:  

Mesh:

Year:  2012        PMID: 22752682     DOI: 10.1007/s00595-012-0236-3

Source DB:  PubMed          Journal:  Surg Today        ISSN: 0941-1291            Impact factor:   2.549


  1 in total

1.  Complications in primary and completed thyroidectomy.

Authors:  Michael Vaiman; Andrey Nagibin; Julian Olevson
Journal:  Surg Today       Date:  2010-01-28       Impact factor: 2.549

  1 in total
  2 in total

1.  Medial Approach for Identification of Recurrent Laryngeal Nerve in Locally Advanced Differentiated Thyroid Carcinoma: Revisited.

Authors:  Saroj Kanta Mishra; Sanjay Kumar Yadav; Naval Bansal
Journal:  Indian J Surg Oncol       Date:  2020-07-24

2.  A New Technique for Identifying the Recurrent Laryngeal Nerve: Our Experience in 71 Patients.

Authors:  Jia-Ying Chen; Qiang Shen
Journal:  Chin Med J (Engl)       Date:  2018-04-05       Impact factor: 2.628

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.