Determining Minimum Trial Numbers for Reliable Lameness Detection in Canine Kinematic Studies
Isabel Marrero1, Angelo Santana2, José Manuel Vilar3
1Hospital Clinico Veterinario, Universidad de Las Palmas de Gran Canaria, Trasmontaña S/N, 35416 Arucas, Las Palmas, Spain.
Animals : an Open Access Journal From MDPI
|February 27, 2026
Summary
Determining the number of trials for reliable canine lameness detection is key. Few trials miss subtle gait asymmetries, while more trials improve accuracy in kinematic gait analysis.
Area of Science:
- Veterinary biomechanics
- Canine locomotion analysis
- Gait analysis in animals
Background:
- Orthopedic gait assessment in dogs is subjective and varies between observers.
- Biomechanical analysis offers objective lameness detection by quantifying limb asymmetry.
- The minimum number of trials for reliable lameness discrimination remains unclear.
Purpose of the Study:
- To determine the minimum number of stride cycles required for reliable detection of induced lameness in dogs.
- To establish a statistical framework for kinematic gait analysis in canine studies.
- To provide practical recommendations for trial collection in canine gait research.
Main Methods:
- Induced mild lameness in six healthy dogs using a cotton pad on a forelimb.
- Captured kinematic data (stride length, support time, elbow range of motion) using high-speed video.
- Computed symmetry indices and angles, derived asymptotic distributions, and performed statistical simulations to estimate required trials.
Main Results:
- The number of trials needed for reliable detection varied significantly with kinematic parameter and asymmetry magnitude.
- Detecting subtle asymmetries (≈4%) required up to 347 trials for stride length.
- For 6% asymmetry, 11-39 trials per limb provided 80-90% power.
Conclusions:
- Collecting only five trials is insufficient for detecting mild canine lameness.
- A minimum number of trials, guided by statistical analysis, is crucial for accurate gait assessment.
- The study provides a statistical framework and recommendations for optimizing canine kinematic gait studies.
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