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Related Experiment Video

Updated: May 4, 2026

Using Q Suture to Enhance Resistance to Gap Formation and Tensile Strength of Repaired Flexor Tendons

Using Q Suture to Enhance Resistance to Gap Formation and Tensile Strength of Repaired Flexor Tendons

Published on: June 3, 2020

Force sensing in surgical sutures.

Tim Horeman¹, Evert-Jan Meijer², Joris J Harlaar²

¹Department of Biomechanical Engineering, Technical University Delft, Delft, The Netherlands.

|December 31, 2013

Summary

This summary is machine-generated.

Accurate suture tension is crucial for wound healing. New Stitch Force (SF) and Hook-In Force (HIF) sensors measure suture forces, aiding in developing better surgical suturing tools.

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Published on: October 6, 2022

Area of Science:

Biomedical Engineering
Surgical Technology
Wound Healing Research

Background:

Suture tension critically impacts wound healing, affecting blood flow and tissue integrity.
Excessive tension can cause necrosis, while insufficient tension leads to improper incision closure.
Precise measurement of suture forces is needed to optimize surgical outcomes.

Purpose of the Study:

To design and evaluate novel Stitch Force (SF) and Hook-In Force (HIF) sensors.
To accurately measure forces within closed incisions and during suture application.
To establish the relationship between applied pulling force and internal suture thread force.

Main Methods:

Development of SF and HIF sensors for measuring suture forces.
Evaluation of sensor accuracy for determining force relationships.
Pilot study involving continuous sutures on porcine abdominal fascia.

Main Results:

The force in the second stitch dropped significantly after the fourth stitch was placed (3 to 1 Newton).
Forces in the second stitch were no longer influenced by subsequent stitches beyond the fourth.
Suture thread force remained stable up to three stitches away from the loose end in continuous sutures.

Conclusions:

The developed SF and HIF sensors accurately measure suture forces.
Continuous suture force distribution follows predictable patterns.
These sensors can inform the development of force-feedback tools for surgical suturing, defining safety thresholds for various tissues and suture types.