An image analysis method to quantify the lateral pivot shift test - Report - MDSpire

An image analysis method to quantify the lateral pivot shift test

  • By

  • Yuichi Hoshino

  • Paulo Araujo

  • James J. Irrgang

  • Freddie H. Fu

  • Volker Musahl

  • December 28, 2011

  • 0 min

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Quantitative Image Analysis Technique for Lateral Pivot Shift Test in ACL Injury

Overview

A novel, affordable image analysis method using digital video and skin markers quantifies lateral compartment translation during the pivot shift test. This technique demonstrated measurable femoral anterior-posterior shifts in ACL-deficient knees, correlating with clinical pivot shift grades.

Background

The lateral pivot shift test is a key clinical tool to assess rotational instability after ACL injury, but its subjective nature leads to variability. Previous quantitative methods using navigation or sensors are costly and not widely accessible. The pivot shift involves complex six degree-of-freedom knee movements, making objective measurement challenging. This study introduces a simple video-based image analysis approach to quantify lateral compartment translation during the pivot shift test.

Data Highlights

ParameterValueNotes
Lateral compartment translation (ACL deficient knees)3.7 ± 2.1 mmDuring reduction phase of pivot shift test
Maximum translation observed6.4 mmACL deficient knees
Minimum translation observed1.5 mmACL deficient knees
Lateral compartment translation (cadaveric specimen)3.0 ± 0.8 mmRepeated tests
Actual bony posterior tibial translation (cadaveric specimen)22.8 ± 0.4 mmMeasured by electromagnetic tracking

Key Findings

  • The image analysis method uses three skin markers on bony landmarks and standard digital video to capture pivot shift movement.
  • ImageJ software processes video frames to detect marker positions and calculate lateral compartment translation.
  • In ACL-deficient knees, a sudden femoral anterior-posterior shift averaging 3.7 mm was detected during the pivot shift reduction phase.
  • Contralateral intact knees showed no significant anteroposterior femoral shift during testing.
  • Preliminary validation with cadaveric knees showed consistent lateral compartment translation measurements, though smaller than actual bony movement.
  • The technique offers a low-cost, accessible alternative to expensive navigation or sensor-based systems.

Clinical Implications

This image analysis technique provides an objective, quantitative measure of lateral pivot shift test results using widely available digital cameras and free software. It may reduce examiner variability and improve assessment of rotational knee instability in ACL injuries. The method’s affordability and simplicity facilitate broader clinical adoption for monitoring treatment outcomes.

Conclusion

The novel image analysis approach effectively quantifies lateral compartment translation during the pivot shift test, correlating with clinical instability in ACL-deficient knees. This method holds promise for standardized, accessible evaluation of rotational knee instability.

References

  1. Bedi et al. 2010 -- Correlation of lateral compartment translation with pivot shift grade
  2. Galway and McIntosh 1982 -- Description of pivot shift test maneuver
  3. ImageJ Software, NIH -- Image processing tool used for analysis

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