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Femoral neck fracture: the reliability of radiologic classifications
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Abstract
Background
Femoral neck fractures (FNF) are one of the most common injury in the elderly. A valid radiographic classification system is mandatory to perform the correct treatment and to allow surgeons to facilitate communication. This study aims to evaluate reliability of 2018 AO/OTA Classification, AO/OTA simplified and Garden classification.
Methods
Six Orthopaedic surgeons, divided in three groups based on trauma experience, evaluated 150 blinded antero-posterior and latero-lateral radiography of FNF using Garden classification, 2018 AO/OTA and simplified AO/OTA classification. One month later, the radiographs were renumbered and then each observer performed a second evaluation of the radiographs. The Kappa statistical analysis was used to determine the reliability of the classifications. Cohen’s Kappa was calculated to determine intra and inter observer reliability. Fleiss’ Kappa was used to determine multi-rater agreement.
Results
The k values of interobserver reliability for Garden classification was from 0,28 to 0,73 with an average of 0,49. AO classification showed reliability from 0,2 to 0,42, with average of 0,30. Simplified AO/OTA classification showed a reliability from 0,38 to 0,58 with an average of 0,48.
The values of intra observer reliability for Garden classification was from 0,48 to 0,79 with an average of 0,63. AO classification showed reliability from 0,2 to 0,64 with an average of 0,5. Simplified AO/OTA classification showed a reliability from 0,4 to 0,75 with an average of 0,61.
Conclusion
The revised 2018 AO/OTA classification simplified the previous classification of intracapsular fracture but remain unreliable with only fair interobserver reliability. The simplified AO/OTA classification show a reliability similar to Garden classification, with a moderate interobserver reliability. The experience of the surgeons seems not to improve reliability. No classification has been shown to be superior in terms of reliability.
Springer Science and Business Media LLC
Title: Femoral neck fracture: the reliability of radiologic classifications
Description:
Abstract
Background
Femoral neck fractures (FNF) are one of the most common injury in the elderly.
A valid radiographic classification system is mandatory to perform the correct treatment and to allow surgeons to facilitate communication.
This study aims to evaluate reliability of 2018 AO/OTA Classification, AO/OTA simplified and Garden classification.
Methods
Six Orthopaedic surgeons, divided in three groups based on trauma experience, evaluated 150 blinded antero-posterior and latero-lateral radiography of FNF using Garden classification, 2018 AO/OTA and simplified AO/OTA classification.
One month later, the radiographs were renumbered and then each observer performed a second evaluation of the radiographs.
The Kappa statistical analysis was used to determine the reliability of the classifications.
Cohen’s Kappa was calculated to determine intra and inter observer reliability.
Fleiss’ Kappa was used to determine multi-rater agreement.
Results
The k values of interobserver reliability for Garden classification was from 0,28 to 0,73 with an average of 0,49.
AO classification showed reliability from 0,2 to 0,42, with average of 0,30.
Simplified AO/OTA classification showed a reliability from 0,38 to 0,58 with an average of 0,48.
The values of intra observer reliability for Garden classification was from 0,48 to 0,79 with an average of 0,63.
AO classification showed reliability from 0,2 to 0,64 with an average of 0,5.
Simplified AO/OTA classification showed a reliability from 0,4 to 0,75 with an average of 0,61.
Conclusion
The revised 2018 AO/OTA classification simplified the previous classification of intracapsular fracture but remain unreliable with only fair interobserver reliability.
The simplified AO/OTA classification show a reliability similar to Garden classification, with a moderate interobserver reliability.
The experience of the surgeons seems not to improve reliability.
No classification has been shown to be superior in terms of reliability.
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