Rheumatoid arthritis affects 0.5% of the population, often leading to foot deformities and pain that are difficult to treat. Management is based on controlling inflammation, adapting footwear and using custom-made insoles, all of which have proven effective. The aim of this research is to build a digital model of plantar pressures based on CT scans, in order to optimize orthopedic insoles. The study will analyze the gait of patients with and without standard insoles to identify mechanical criteria correlated with pain. The ultimate aim is to design optimized insoles, validated by a new gait analysis.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
10
gait analysis from 3D imaging (ENSENSO) on patients with bone geomtry 3D imaging
Chu de Saint-Etienne
Saint-Etienne, France
Construction of a patient-specific 3D model reproducing a gait cycle with or without an orthosis.
Bone geometry from 3D imaging (foot CT) combined with gait analysis (speed, step length, angular variation at the knee and ankle) from 3D imaging (ENSENSO) and accelerometers
Time frame: Week 1
Correlation of model parameters with pain
\- Visual analogue scale (VAS) for pain in the right and left foot (0 = no pain; 10 = worst imaginable pain).
Time frame: Day 1
Correlation of model parameters with insole-wearing comfort.
Visual analogue scale (VAS) for comfort in the right and left foot (0 = most comfortable; 10 = most uncomfortable).
Time frame: Day 1
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