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Related Experiment Video

Updated: May 12, 2026

Measuring Local Tissue Strains in Tendons via Open-Source Digital Image Correlation

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Published on: January 27, 2023

Relationship between tendon stiffness and failure: a metaanalysis.

Andrew S LaCroix¹, Sarah E Duenwald-Kuehl, Roderic S Lakes

¹Department of Biomedical Engineering, University of Wisconsin - Madison, Madison, Wisconsin, USA.

Journal of Applied Physiology (Bethesda, Md. : 1985)

|April 20, 2013

Summary

This summary is machine-generated.

This meta-analysis reveals a strong correlation between elastic modulus and ultimate stress in tendons across species. This finding could enable noninvasive prediction of tendon strength in injured or diseased tissues.

Keywords:

biomechanics modulus strain stress tendon

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Area of Science:

Biomedical Engineering
Orthopedics
Materials Science

Background:

Tendons are specialized tissues transferring muscle force to bone, exhibiting complex mechanical behaviors.
Previous studies characterized tendon mechanics but lacked inter-study understanding.
Tendon mechanical properties vary widely between and within species.

Purpose of the Study:

To conduct a meta-analysis of pooled tendon mechanical data.
To understand inter-species variations and correlations in tendon mechanical properties.
To explore the relationship between elastic modulus and ultimate stress.

Main Methods:

Meta-analysis of data from 50 selected studies.
Inclusion of data from healthy, injured, and altered tendons (genetic, allograft, age, environment).
Statistical analysis of pooled mechanical properties.

Main Results:

A high correlation (R² = 0.785) was found between elastic modulus and ultimate stress.
Tendon failure is significantly strain-dependent.
The relationship between elastic modulus and ultimate stress is predictable within controlled ranges.

Conclusions:

Elastic modulus and ultimate stress are strongly linked, suggesting strain-dependent failure.
This correlation allows for predictable estimations of tendon strength.
Future noninvasive in vivo tools could predict ultimate stress for diseased or injured tendons.