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Related Experiment Video

Updated: May 18, 2026

Measurement of Healthy and Injured Triceps Surae Morphology

Measurement of Healthy and Injured Triceps Surae Morphology

Published on: October 27, 2023

Physiological Achilles tendon length and its relation to tibia length.

Claudio Rosso¹, Philipp Schuetz, Caroline Polzer

¹Orthopaedic Department, University Hospital Basel, University of Basel, Basel, Switzerland. claudio.rosso@unibas.ch

Clinical Journal of Sport Medicine : Official Journal of the Canadian Academy of Sport Medicine

|September 27, 2012

Summary

Researchers defined Achilles tendon length (ATL) and its relation to tibia length (TL) in healthy individuals. An algorithm was developed to predict ATL based on TL, aiding in managing tendon injuries.

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Published on: December 8, 2023

Area of Science:

Orthopedics
Biomechanics
Radiology

Background:

Optimal intraoperative Achilles tendon length (ATL) adjustment is vital for musculotendinous unit function.
Resting ATL and its relationship with tibia length (TL) have not been previously defined in healthy subjects.

Purpose of the Study:

To establish normative measurements of resting ATL and TL in healthy individuals.
To define the relationship between ATL, TL, and anthropometric factors.
To develop a predictive algorithm for ATL based on TL.

Main Methods:

A case series involving 52 healthy subjects.
Magnetic resonance imaging (MRI) was used to measure unilateral ATL and TL in a neutral ankle position.
Correlations were analyzed between ATL, TL, and various anthropometric parameters (age, gender, height, weight, BMI).

Main Results:

The mean ATL was 180.6 mm and the mean TL was 371.9 mm, with an ATL:TL ratio of 49%.
ATL significantly correlated with body height (R=38%) and TL (R=41%).
TL was identified as the sole independent predictor of ATL, leading to the algorithm: ATL (mm) = 0.6 × TL (mm) - 53.

Conclusions:

A novel, consistent method for measuring resting ATL in healthy subjects was established.
Significant correlations between ATL, TL, and body height were demonstrated.
A validated algorithm for predicting ATL based on TL was developed, potentially aiding in the management of Achilles tendon pathologies.