Advancements in reconstructive microsurgery have evolved into supermicrosurgery; connecting vessels with diameter between 0.3 and 0.8 mm for reconstruction of lymphatic flow and vascularized tissue transplantation. Supermicrosurgery is limited by the precision and dexterity of the surgeon's hands. Robot assistance can help overcome these human limitations, thereby enabling a breakthrough in supermicrosurgery. We report the first-inhuman study of robot-assisted supermicrosurgery using a dedicated microsurgical robotic platform. A prospective randomized pilot study is conducted comparing robot-assisted and manual supermicrosurgical lymphatico-venous anastomosis (LVA) in treating breast cancer-related lymphedema. We evaluate patient outcome at 1 and 3 months post surgery, duration of the surgery, and quality of the anastomosis. At 3 months, patient outcome improves. Furthermore, a steep decline in duration of time required to complete the anastomosis is observed in the robot-assisted group (33-16 min). Here, we report the feasibility of robot-assisted supermicrosurgical anastomosis in LVA, indicating promising results for the future of reconstructive supermicrosurgery.
We propose a new definition for erosions visualized with HR-pQCT imaging. Interreader reliability for erosion detection is good, but further refinement of selection of landmarks for erosion size measurement, or automated volumetric methods, will be pursued.
Advanced microsurgical procedures are currently limited by human precision and manual dexterity. The potential of robotics in microsurgery is highlighted, including a general overview of applications of robotic assistance in microsurgery and its introduction in different surgical specialties. A new robotic platform especially designed for (super) microsurgery is presented. Results of an in vivo animal study underline its feasibility and encourage further development toward clinical studies. Future directions of robotic microsurgery are proposed.
Background: Lymphaticovenous anastomosis, a supermicrosurgical technique, creates bypasses between the lymphatic and venous systems. The quality of lymphaticovenous anastomosis depends on the surgeon's dexterity and precision, and is subject to imperfections caused by the physiologic tremor of the human hand. A dedicated robot for microsurgery has been created to overcome these limitations (MUSA, MicroSure, Eindhoven, The Netherlands). This study describes 1-year clinical outcomes of the first-in-human trial of robot-assisted and manual lymphaticovenous anastomosis in patients with breast cancer-related lymphedema. Methods: In this prospective pilot study, women with breast cancer-related lymphedema were randomized into the robot-assisted or manual lymphaticovenous anastomosis group. Outcomes were quality of life, arm circumference, conservative treatment frequency, arm dermal backflow stage, and anastomosis patency. Results: Twenty women were included, of whom eight underwent robot-assisted lymphaticovenous anastomosis surgery and 12 underwent manual surgery. In both groups, quality of life significantly improved at 12 months (robot-assisted surgery, p = 0.045; manual surgery, p = 0.001). Arm circumference did not decrease (robot-assisted surgery, p = 0.094; manual surgery, p = 0.240). Daily use of compression garments decreased by 61.9 percent (robot-assisted surgery) and 70.2 percent (manual surgery). The frequency of manual lymphatic drainage remained similar compared with baseline. Arm dermal backflow stage was reduced in one patient in the robot-assisted group and in five cases in the manual group. Overall, 76.5 percent of the anastomoses were patent (robotassisted surgery, 66.6 percent; manual surgery, 81.8 percent). Conclusions: After evaluating 1-year follow-up data, this study confirms the feasibility of robot-assisted lymphaticovenous anastomosis surgery. Clinical outcomes were comparable between robot-assisted and manual lymphaticovenous anastomosis. This encourages further research using the new microsurgical robot MUSA for lymphaticovenous anastomosis and other (super)microsurgical procedures.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.