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A Novel Arthroscopic Medial Knot-Tying Suture-Bridge Repair with Rip-Stop Technique for Rotator Cuff Tears

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Reliability of radiologic classification for cuff tear arthropathy.

Thomas Kappe¹, Balkan Cakir, Heiko Reichel

¹Department of Orthopaedic Surgery, University of Ulm, Ulm, Germany. Thkappe@gmx.de

Journal of Shoulder and Elbow Surgery

|April 2, 2011

Summary

The Sirveaux classification showed the highest reliability for cuff tear arthropathy, but only considers glenoid alterations. The Hamada and Visotsky-Seebauer schemes are recommended for evaluating both glenoid and humerus changes.

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Area of Science:

Orthopedic Surgery
Radiology
Biostatistics

Background:

Cuff tear arthropathy lacks standardized, reliable classification systems.
Existing schemes are used clinically and scientifically without established reliability.
Comparative analysis of these schemes is needed.

Purpose of the Study:

To compare the reliability of several classification schemes for cuff tear arthropathy.
To evaluate intraobserver and interobserver reliability using the kappa coefficient.

Main Methods:

Two independent observers classified 52 shoulder radiographs using the Favard, Visotsky-Seebauer, Hamada, and Sirveaux schemes.
Samilson-Prieto and Kellgren-Lawrence schemes were used for comparison.
Reliability was assessed using the kappa (κ) coefficient.

Main Results:

The Sirveaux classification demonstrated the highest overall reliability.
Favard classification showed lower reliability compared to others.
Hamada and Visotsky-Seebauer schemes exhibited comparable reliability to Samilson-Prieto and Kellgren-Lawrence.

Conclusions:

The Sirveaux classification is the most reliable but limited to glenoid changes.
For schemes assessing both glenoid and humerus, Visotsky-Seebauer and Hamada are recommended.
These findings aid in selecting appropriate classification for cuff tear arthropathy research and practice.