Robot succeeds in super delicate microsurgery


Monday, 17 February, 2020


Robot succeeds in super delicate microsurgery

The first in-human trials of robot-assisted supermicrosurgery using a dedicated robotic platform have been reported in a pilot study in Nature Communications.

Advances in technology have meant that supermicrosurgery can be performed on vessels within the body with diameters as small as 0.3 mm. However, the success of the surgery is limited by the precision and stability of the surgeon’s hands. Robot-assisted supermicrosurgeries have the potential to overcome this obstacle because more refined and subtle movements can be performed. Recently, a new robot, dubbed MUSA, was developed to achieve this aim and preclinical tests have evaluated the safety and feasibility of using this system.

Tom van Mulken and colleagues performed a randomised feasibility study involving 20 patients with breast cancer-related lymphedema who underwent MUSA-assisted or manual surgery. The authors evaluated patient outcomes at one and three months post-surgery, the duration of the surgery and the quality of the connection made between the venous and lymphatic system during surgery (lymphatico-venous anastomosis). They confirmed that it is feasible to complete robot-assisted supermicrosurgery in patients using the MUSA robot and that this led to an improvement in the patients’ quality of life.

Larger multi-centre trials with more patients and surgeons will be necessary to confirm these results. However, the authors conclude that the findings are promising for the future of reconstructive supermicrosurgery.

Related News

Chinese LiDAR sensor wins Edison Award, helps in pandemic

The RoboSense RS-LiDAR-M1 is a compact MEMS LiDAR sensor that incorporates sensor hardware and AI...

COVID-19 impact: mobile robotics market to grow

A new ABI Research white paper identifies the short- and long-term impacts the global pandemic...

Helping factory robots find their way

Mobile Industrial Robots enables navigation around factory floors using AI inference.


  • All content Copyright © 2020 Westwick-Farrow Pty Ltd