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Structure-aware fatigue modeling in foot deformities: A digital health framework for tissue-specific running injury risk prediction using multi-modal data

PLOS digital health · 2026

KeyHV Hallux valgusIMU Inertial measurement unitROM Range of Motion

Hallux valgus alters ankle/MTP loading in runners, but 'injury risk' here is simulated, not observed, don't act on it yet.

podiatrysports-medicinefoot-anklecalf-achillestendinopathyload-management

Lo studio

Case-control study, n=52 runners (26 with hallux valgus, 26 healthy controls), using 3D gait analysis, subject-specific musculoskeletal modelling, and deep learning to estimate tissue loading during running.

Cosa hanno trovato

Hallux valgus (HV) runners showed higher peak ankle (p=0.004) and metatarsophalangeal (p=0.003) joint moments and reduced ROM, with modelled increases in cumulative load, cumulative damage, and probability of fatigue failure at the Achilles tendon and plantar fascia (tibial loading was similar between groups). Deep learning models predicted these modelled loading indices from IMU data with R²=0.89-0.93, improving to R²=0.94-0.97 when foot-structure data were added.

La valutazione

This is a small (26 vs 26), cross-sectional, unpowered comparison with no reported effect sizes or confidence intervals for the joint moment differences, so clinical magnitude can't be judged from the abstract. Critically, 'fatigue-failure probability' is a simulated output of the musculoskeletal model, not an observed injury outcome, no runners were actually followed for injuries. The deep learning R² values describe how well IMU data predict the model's own simulated loading indices, which risks circularity rather than validating real-world injury risk.

Il limite

There is no prospective injury outcome data linking these modelled loading differences to actual Achilles or plantar fascia injuries in HV runners, the entire risk narrative rests on simulation, not observed events.

Studio di riferimento

This extends established musculoskeletal-model fatigue-failure approaches (originally developed for tibial stress fracture risk) to a broader set of tissues and pairs them with deep learning for wearable-based prediction, but unlike foundational stress-fracture modelling work, it has not yet been validated against real injury incidence.

Cosa fare da lunedì

Not actionable yet, clinicians shouldn't change screening or load management for HV runners based on this alone; at most, it flags hallux valgus as a structural variable worth considering when assessing Achilles/plantar fascia load, pending outcome validation.

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