[Intraclass correlation intra- and inter-observer of the pivot-shift maneuver through mobile application:...

Area of Science:

• Orthopedic surgery
• Biomechanics
• Medical diagnostics

Background:

• Accurate anterior cruciate ligament (ACL) diagnosis is challenging.
• Existing tools like the KT1000 have limitations in capturing multi-axis joint movement.
• The pivot-shift maneuver offers more comprehensive assessment but lacks standardization, leading to inter-observer variability.

Purpose of the Study:

• To develop and validate a mobile application for standardizing the pivot-shift maneuver.
• To provide an interpretable and quantitative measurement of the pivot-shift maneuver.
• To assess the reliability of the application in capturing movement data.

Main Methods:

• A mobile software application was developed to record movements during the pivot-shift maneuver.
• Intraclass correlation coefficient (ICC) was used to measure intra- and inter-observer reliability.
• Data was collected from 66 participants using smartphone gyroscopes.

Main Results:

• High reproducibility was observed among evaluators executing the maneuver within the application's timeframe.
• The application achieved an intraclass correlation coefficient exceeding 90%.
• The data demonstrated significant intra- and inter-observer agreement.

Conclusions:

• The mobile application enables reliable quantitative analysis of the pivot-shift maneuver.
• High intra- and inter-observer correlation supports the use of this tool for standardized ACL assessment.
• Smartphone technology can effectively standardize complex clinical maneuvers.