By a News Reporter-Staff News Editor at Robotics & Machine Learning -- Researchers detail new data in Robotics. According to news reporting from Augusta, Georgia, by VerticalNews journalists, research stated, "Robotic facelift thyroidectomy (RFT) is a straightforward remote access thyroidectomy technique. While the anatomy encountered during RFT is well known to surgeons, the vector of approach during this technique may be less familiar."
The news correspondents obtained a quote from the research from the Department of Otolaryngology Head & Neck Surgery, "In order to facilitate safe and efficient performance of RFT, the relationships of key anatomical landmarks associated with this technique were determined. Eight anatomical dissections were performed in cadavers and included performance of RFT and definition of discrete anatomical relationships. Morphologic assessments of the great auricular nerve (GAN), omohyoid (OH) muscle, inferior constrictor (IC) muscle, and recurrent laryngeal nerve (RLN) were conducted. The mean distance from the incision apex to the anterior and posterior aspects of the GAN were 3.8 +/- A 1.2 and 7.7 +/- A 0.8 cm. From the apex of the incision to the OH muscle was 11.1 +/- A 1.7 cm on average. The OH muscle was located 1.3 +/- A 0.5 cm inferior to an axial line drawn through the inferior aspect of the thyroid notch. The anterior branch of the RLN was identified coursing deep to the inferior margin of the IC muscle a mean of 1.2 +/- A 0.2 cm lateral to the origin of this muscle on the cricoid cartilage. Characterization of the key anatomical landmarks of the lateral neck and thyroid compartment associated with RFT, including the GAN, OH muscle, and RLN, allows for rapid recognition of these critical structures during this operation."
According to the news reporters, the research concluded: "Surgeons learning this approach should be familiar with these relationships."
For more information on this research see: Defining Anatomical Landmarks for Robotic Facelift Thyroidectomy. World Journal of Surgery, 2014;38(1):92-95. World Journal of Surgery can be contacted at: Springer, 233 Spring St, New York, NY 10013, USA. (Springer - www.springer.com; World Journal of Surgery - www.springerlink.com/content/0364-2313/)
Our news journalists report that additional information may be obtained by contacting M.C. Singer, Georgia Regents Univ, Dept. of Otolaryngol Head & Neck Surg, Augusta, GA 30912, United States. Additional authors for this research include A. Heffernan and D.J. Terris.
Keywords for this news article include: Augusta, Georgia, Robotics, United States, Machine Learning, Emerging Technologies, North and Central America
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