Ultrasound Tracking Reveals Progressive Regional Strain Differences in Human Achilles Tendons During Fatigue Loading
Nuethong, S.; Baxter, J. R.
Show abstract
Ultrasound is commonly used to assess structural changes in symptomatic Achilles tendons, but quantitative biomechanical metrics for progressive tendon deterioration remain limited. The goal of this study was to develop and validate an automated ultrasound tracking algorithm for regional tendon deformation and evaluate strain progression in survived and ruptured tendons during fatigue loading. We hypothesized that maximum strain, average strain, and strain heterogeneity would exhibit different trajectories between groups. Ten cadaveric Achilles tendons underwent cyclic loading with stress tests every 500 cycles until rupture or 150,000 cycles. Ultrasound images acquired during stress tests were analyzed using an automated tracking algorithm to generate spatially resolved regional strain fields. Ultrasound-derived bulk strain was highly correlated with actuator-derived strain in survived (R^2 = 0.968 +/- 0.017) and ruptured tendons (R^2 = 0.972 +/- 0.014). Maximum and average longitudinal strains progressively diverged between groups across fatigue life (Group x FatigueLife: p = 0.003 and p < 0.0001, respectively). During the first 10,000 cycles, average strain decreased in survived tendons ({beta} = -0.0268%, p = 0.0215) but not ruptured tendons ({beta} = 0.0147%, p = 0.1197), with a significant Group x Cycle interaction (p = 0.0061). This study demonstrates that the algorithm quantified Achilles tendon deformation with high fidelity and enabled spatially resolved strain assessment throughout fatigue loading. Maximum and average strain followed different trajectories between groups, whereas strain heterogeneity did not. Early differences in tendon biomechanics suggest that regional strain behavior may change before pronounced differences in absolute magnitude develop.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Ultrasound Echogenicity is Associated with Achilles Tendon Fatigue Damage in a Cadaveric Loading Model 97%
- Muscle activation assessment using ultrasound time-harmonic elastography and tonic vibration reflex 95%
- Using dynamic ultrasound to assess Achilles tendon mechanics during running: the effect on running pattern and muscle-tendon junction tracking 94%
Similar papers in this journal
- Acute repair of meniscus root tear partially restores joint displacements as measured with MRI and loading in a porcine knee 95%
- Comparison of two different finite element modeling pipelines for virtual mechanical testing of the distal third metacarpal bone in Thoroughbred racehorses 95%
- Aged Tendons Exhibit Altered Mechanisms of Strain-Dependent Extracellular Matrix Remodeling 93%
Similar papers in this journal
- Non-invasive ultrasound quantification of Scar Tissue Volume predicts functional changes during tendon healing 96%
- Cyclic Loading Induces Anabolic and Catabolic Gene Expression in ACLs in a Load-Dependent and Sex-Specific Manner 95%
- Female Anterior Cruciate Ligaments Exhibit a Muted Mechanobiological Response to Mechanical Loading 95%
Similar papers in this journal
- An equine tendon model for studying intra-tendinous shear in tendons that have more than one muscle contribution 96%
- Tracking tendon fibers to their insertion - a 3D analysis of the Achilles tendon enthesis in mice 95%
- Elastase treatment of tendon specifically impacts the mechanical properties of the interfascicular matrix 94%
Similar papers in this journal
- Capturing sclera anisotropy using direct collagen fiber models. Linking microstructure to macroscopic mechanical properties. 94%
- Femoral bone growth predictions based on personalized multi-scale simulations: Validation and sensitivity analysis of a mechanobiological model 92%
- Mechanobiochemical finite element model to analyze impact-loading-induced cell damage, subsequent proteoglycan loss, and anti-oxidative treatment effects in articular cartilage 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.