3D real time image reproduction of the prostate: Can it be used on virtual reality (VR) headsets and/or tilepro of Da Vinci surgical system as a guide during robotic radical prostatectomy?

2019 ◽  
Vol 18 (6) ◽  
pp. e2660-e2661 ◽  
Author(s):  
S.F. Aksoy ◽  
E. Altinmakas ◽  
A.E. Canda ◽  
E. Koseoglu ◽  
T. Esen
2012 ◽  
Vol 30 (5_suppl) ◽  
pp. 258-258
Author(s):  
Steven Lee Chang ◽  
Wei Jiang ◽  
Benjamin I. Chung

258 Background: The adoption of the da Vinci Surgical System (Intuitive Surgical, Inc) for robotic surgery requires a substantial financial investment by hospitals, acquisition of new surgical skills by surgeons, and demand from patients. Although the benefits of this technology have been previously described, the prevalence and adoption rate for the treatment of prostate cancer is not currently known. We performed a population-based analysis to determine how the introduction of robotic technology has altered the surgical management of prostate cancer. Methods: We analyzed patient-level data from the Prospective Rx Comparative Database (Premier, Inc., Charlotte, NC), which collects data from over 600 non-federal hospitals throughout the United States. We captured all men who underwent a radical prostatectomy between January 1, 2003, and December 31, 2010, based on the International Classification of Disease, 9th edition. Radical prostatectomies utilizing the da Vinci Surgical System were identified by a detailed review of the hospital charge data. Descriptive analysis with univariate and multivariate statistical analyses were performed. Results: Prior to 2006, <10% of radical prostatectomies were performed with robotic surgery. Beginning in 2006 there was a rapid rise in adoption reaching 56% utilization in 2009 and leveling off in 2010 to 54%. Adjusted analysis demonstrated that the odds of adopting robotic surgery were higher in teaching hospital (odds ratio [OR] 1.45, p<0.001) and hospitals in the Northeast (vs Midwest [OR 2.99, p<0.001]). Smaller hospitals (<200 beds) had a lower likelihood of adopting robotic surgery (OR 0.4, p<0.001). Patient age had no impact on the odds of undergoing robotic radical prostatectomy. Conclusions: Over past 5 years, there has been widespread adoption of robotic surgery in the management of prostate cancer now with just over half of procedures performed with the da Vinci Surgical System. Our analysis suggests that the adoption of robotic surgery has been determined primarily by the acquisition of this technology by hospitals, which was more common in teaching institutions, larger hospitals, and hospitals in the Northeast.


Author(s):  
Braden Millan ◽  
Shavy Nagpal ◽  
Maylynn Ding ◽  
Jason Y. Lee ◽  
Anil Kapoor

Objectives Since the introduction of the first master–slave robotic platform for surgical procedures, there have been ongoing modifications and development of new platforms, but there is still a paucity of commercially available systems. Our study aims to identify all master–slave robotic surgical platforms currently commercially available or in development around the world with applications in urologic surgery. Methods A scoping literature search was performed using PRISMA methodology to identify all relevant publications in English in PubMed, PubMed Central, and Embase, with additional information being obtained from official company websites. Results Ten robotic platforms with either proven or potential application in urologic surgery were identified: the da Vinci surgical system (Intuitive), Senhance surgical system (Transentrix), Versius Surgical (CMR Ltd), Enos surgical system (Titan Medical), Revo –I (Meere Company), MiroSurge (DLR), Avatera System (Avatera Medical), Hugo Surgical Robot (Medtronic), Ottava (J&J, Ethicon, Areus), and Hinotori (Medicaroid Corporation). Conclusions This review highlights the distinct features of emerging master–slave robotic platforms with applications in urologic surgery. Research and development are now focused on finding wider applications, improving outcomes, increasing availability, and reducing cost. Additional research is required comparing newly developed master–slave robotic platforms with those already well established.


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