Related Experiment Video
Updated: Jan 7, 2026
05:25
Step By Step: Microsurgical training method combining two nonliving animal models
Published on: May 9, 2015
15.8K
Motion Tracking Analysis of Robotic Versus Hand-Sewn Sutures in End-To-Side Microanastomoses
Eleanor Gutstadt1, Daniel D Wiggan1, Eric A Grin1
1Department of Neurosurgery, NYU Grossman School of Medicine, New York, New York, USA.
Operative Neurosurgery (Hagerstown, Md.)
|December 29, 2025
Summary
Robot-assisted microsuturing significantly enhances precision compared to hand-sewn sutures, particularly for the dominant hand. This robotic approach improves path fidelity, offering benefits for cerebrovascular neurosurgery.
Area of Science:
- Microsurgery
- Robotics in Medicine
- Neurosurgery
Background:
- Hand-sewn (HS) microsuturing is limited by surgeon tremor and fatigue.
- Robotic systems offer potential improvements in microsurgical performance.
- Quantitative comparisons between robotic and manual microsuturing are limited.
Purpose of the Study:
- To evaluate the precision of robot-assisted microsuturing versus hand-sewn microsuturing.
- To compare suture path deviation during end-to-side microanastomosis.
Main Methods:
- A single surgeon performed robot-assisted and HS sutures for end-to-side microanastomosis under simulation.
- Tracker software analyzed 2D positional data from 1494 video frames.
- Euclidean distance quantified deviation from an ideal suture path after Savitzky-Golay filtering.
Main Results:
- Robotic-assisted sutures showed significantly lower mean path deviation and variability than HS sutures.
- Effect sizes were consistently large for the dominant (right) hand (d=1.2) and smaller for the non-dominant (left) hand (d=0.36-0.71).
Conclusions:
- Robotic microsuturing with a microsurgical assistant significantly improves path fidelity, especially for dominant-hand tasks.
- Manual sutures exhibited greater deviations, supporting robotic integration in cerebrovascular neurosurgery.
- Further studies in live models are warranted.
