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Related Experiment Video

Updated: May 14, 2026

Video Movement Analysis Using Smartphones (ViMAS): A Pilot Study

Video Movement Analysis Using Smartphones (ViMAS): A Pilot Study

Published on: March 14, 2017

Quantitative evaluation of the pivot shift by image analysis using the iPad.

Yuichi Hoshino¹, Paulo Araujo, Mattias Ahldén

¹Department of Orthopaedic Surgery, Kobe Kaisei Hospital, Kobe, Japan.

Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA

|January 24, 2013

Summary

A novel iPad application can detect abnormal lateral translation in anterior cruciate ligament (ACL) deficient knees, demonstrating its potential for pivot shift test analysis. Further refinement is needed for optimal performance.

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Area of Science:

Orthopedics
Biomechanics
Medical Imaging

Background:

A standardized measurement system for the pivot shift test is crucial for comparing results.
Image analysis of knee joint translation using accessible devices like tablets offers a potential solution.

Purpose of the Study:

To evaluate a novel iPad application designed to detect the pivot shift by analyzing lateral knee joint translation.
To test the hypothesis that the application can identify abnormal translation in anterior cruciate ligament (ACL) deficient knees.

Main Methods:

Thirty-four patients with ACL deficiency underwent a standardized pivot shift test under anesthesia.
Three skin markers were placed on bony landmarks, and lateral knee motion was recorded via video.
An iPad application processed the video to measure lateral translation, comparing results between different pivot shift grades.

Main Results:

Valid data were obtained from 20 out of 34 (59%) ACL-deficient knees.
ACL-deficient knees exhibited significantly greater lateral translation compared to contralateral knees (p < 0.01).
The application differentiated between grade 1 (2.7 ± 0.6 mm) and grade 2 (3.6 ± 1.2 mm) pivot shifts (p < 0.05).

Conclusions:

The iPad application demonstrated potential in classifying pivot shift severity based on lateral translation.
Technical adjustments in testing maneuver and recording procedures are necessary to enhance image data acquisition.
This technology offers a promising, accessible tool for pivot shift assessment in clinical settings.