| Title |
Real-time navigation in transoral robotic nasopharyngectomy utilizing on table fluoroscopy and image overlay software: a cadaveric feasibility study
|
|---|---|
| Published in |
Journal of Robotic Surgery, September 2015
|
| DOI | 10.1007/s11701-015-0532-1 |
| Pubmed ID | |
| Authors |
Raymond K. Tsang, Jonathan M. Sorger, Mahdi Azizian, Christopher F. Holsinger |
| Abstract |
Inability to integrate surgical navigation systems into current surgical robot is one of the reasons for the lack of development of robotic endoscopic skull base surgery. We describe an experiment to adapt current technologies for real-time navigation during transoral robotic nasopharyngectomy. A cone-beam CT was performed with a robotic C-arm after the injecting contrast into common carotid artery. 3D reconstruction of the skull images with the internal carotid artery (ICA) highlighted red was projected on the console. Robotic nasopharyngectomy was then performed. Fluoroscopy was performed with the C-arm. Fluoroscopic image was then overlaid on the reconstructed skull image. The relationship of the robotic instruments with the bony landmarks and ICA could then been viewed in real-time, acting as a surgical navigation system. Navigation during robotic skull base surgery is feasible with available technologies and can increase the safety of robotic skull base surgery. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 21% |
| Student > Ph. D. Student | 4 | 21% |
| Student > Doctoral Student | 3 | 16% |
| Student > Postgraduate | 2 | 11% |
| Professor | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 74% |
| Engineering | 2 | 11% |
| Arts and Humanities | 1 | 5% |
| Unknown | 2 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 August 2016.
All research outputs
#20,295,501
of 22,832,057 outputs
Outputs from Journal of Robotic Surgery
#602
of 679 outputs
Outputs of similar age
#230,683
of 274,835 outputs
Outputs of similar age from Journal of Robotic Surgery
#4
of 6 outputs
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