Literature DB >> 23751999

Robotic thyroidectomy for benign thyroid diseases: a stepwise strategy to the adoption of robotic thyroidectomy (gasless, transaxillary approach).

George Giannopoulos1, Sang-Wook Kang, Jong J Jeong, Kee-Hyun Nam, Woong Y Chung.   

Abstract

PURPOSE: Thyroid surgery for benign diseases mainly involves young women, and thus, cosmetic considerations have motivated the development of "no scar to the neck" procedures. Endoscopic techniques are often strenuous, and therefore, discouraging to adopt. However, the recent incorporation of robotic technology proposes a feasible, safe, extracervical approach that alleviates most of the technical difficulties associated with endoscopy. Here, the authors present a series of robotic thyroidectomies performed to treat benign thyroid diseases and detail the key issues of initial patient selection. PATIENTS AND METHODS: From November 2007 to December 2010, 44 patients with benign thyroid disease were operated upon using a robotic procedure. Indications were follicular/Hürthle cell lesions smaller than 5 cm, nodules with an indefinite/suspicious cytology, or Graves disease. All patients underwent robotic gasless, transaxillary thyroidectomy using the da Vinci S system.
RESULTS: Thirty-nine of the 44 patients were women, and the overall mean age was 38.2 years (range, 16 to 60 y). The most common pathology was adenomatous hyperplasia (20 lesions) followed by follicular adenoma (10 lesions). Seven patients had Graves disease. The mean tumor size was 1.68 cm (range, 0.3 to 5 cm). Thirty-nine patients underwent less than total thyroidectomy and 5 underwent total or near total thyroidectomy. The mean total operative time was 129.8 minutes (range, 75 to 242 min) and the mean duration of postoperative hospital stay was 3.1 days (range, 2 to 5 d). Postoperative complications were 1 transient hoarseness, 1 transient hypocalcemia, and 1 permanent recurrent laryngeal nerve injury.
CONCLUSIONS: Robotic thyroidectomy, although novel and sophisticated, has already been used to treat over 4000 thyroid cancer patients in Korea. Female patients with a small to average build, with a follicular lesion and concerned about neck scarring, seem to be the best candidates. Patients with small suspicious nodules without severe thyroiditis are also a rational choice. In contrast, patients with Graves disease should be reserved, unless significant experience has been gained.

Entities:  

Mesh:

Year:  2013        PMID: 23751999     DOI: 10.1097/SLE.0b013e31828b8b20

Source DB:  PubMed          Journal:  Surg Laparosc Endosc Percutan Tech        ISSN: 1530-4515            Impact factor:   1.719


  5 in total

Review 1.  Overview of robotic thyroidectomy.

Authors:  Eun Hae Estelle Chang; Hoon Yub Kim; Yoon Woo Koh; Woong Youn Chung
Journal:  Gland Surg       Date:  2017-06

2.  Surgery for Graves' disease in the era of robotic-assisted surgery: a study of safety and feasibility in the Western population.

Authors:  Meghan Garstka; Emad Kandil; Lachin Saparova; Maroun Bechara; Rebecca Green; Antoine B Haddad; Sang-Wook Kang; Patrick Aidan
Journal:  Langenbecks Arch Surg       Date:  2018-09-29       Impact factor: 3.445

3.  Single-incision transaxillary robotic total thyroidectomy for Graves' disease: improved feasibility and safety with novel robotic instrumentation.

Authors:  Balazs B Lörincz; Nikolaus Möckelmann; Rainald Knecht
Journal:  Eur Arch Otorhinolaryngol       Date:  2014-08-21       Impact factor: 2.503

4.  Transaxillary robotic modified radical neck dissection: a 5-year assessment of operative and oncologic outcomes.

Authors:  Min Jhi Kim; Jandee Lee; Seul Gi Lee; Jung Bum Choi; Tae Hyung Kim; Eun Jeong Ban; Cho Rok Lee; Sang-Wook Kang; Jong Ju Jeong; Kee-Hyun Nam; Young Suk Jo; Woong Youn Chung
Journal:  Surg Endosc       Date:  2016-08-29       Impact factor: 4.584

5.  Comparative Study between Robotic Total Thyroidectomy with Central Lymph Node Dissection via Bilateral Axillo-breast Approach and Conventional Open Procedure for Papillary Thyroid Microcarcinoma.

Authors:  Qing-Qing He; Jian Zhu; Da-Yong Zhuang; Zi-Yi Fan; Lu-Ming Zheng; Peng Zhou; Lei Hou; Fang Yu; Yan-Ning Li; Lei Xiao; Xue-Feng Dong; Gao-Feng Ni
Journal:  Chin Med J (Engl)       Date:  2016-09-20       Impact factor: 2.628

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.