Classification of proximal humerus fractures according to pattern recognition is associated with high intraobserver and interobserver agreement

© 2022 The Author(s).

Bibliographische Detailangaben
Veröffentlicht in:JSES international. - 2020. - 6(2022), 4 vom: 05. Juli, Seite 563-568
1. Verfasser: Foruria, Antonio M (VerfasserIn)
Weitere Verfasser: Martinez-Catalan, Natalia, Pardos, Belen, Larson, Dirk, Barlow, Jonathan, Sanchez-Sotelo, Joaquín
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2022
Zugriff auf das übergeordnete Werk:JSES international
Schlagworte:Journal Article Computed tomography (CT) Fracture pattern Interobserver agreement Mayo-FJD classification Proximal humerus fracture Radiography
Beschreibung
Zusammenfassung:© 2022 The Author(s).
Background: The Mayo-Fundación Jiménez Díaz (FJD) classification for proximal humerus fractures aims to identify specific fracture patterns and apply displacement criteria to each pattern. The classification includes 7 common fracture patterns: isolated fractures of the greater or lesser tuberosity, fractures of the surgical neck, impacted fractures involving head rotation in a varus and posteromedial direction or in valgus, and fractures where the humeral head is dislocated (head dislocation), split (head splitting), or depressed (head impaction). The purpose of this study was to evaluate the intraobserver and interobserver agreement of the Mayo-FJD classification system using plain radiographs (xR) and computed tomography (CT)
Methods: Three fellowship-trained shoulder surgeons blindly and independently evaluated the xR and CT of 103 consecutive proximal humerus fractures treated at a Level I trauma center. Each surgeon classified all fractures according to the Mayo-FJD classification system on 4 separate sessions at least 6 weeks apart. K values were calculated for intraobserver and interobserver reliability
Results: The average intraobserver agreement was 0.9 (almost perfect) for xR and 0.9 (almost perfect) for CT scans. The average interobserver agreement was 0.69 (substantial) for xR and 0.81 (almost perfect) for CT scans at the first round, and 0.66 (substantial) for xR and 0.75 (substantial) for CT scans at the second round
Conclusion: The pattern-based Mayo-FJD classification scheme for proximal humerus fractures was associated with adequate intraobserver and interobserver agreement using both xR and CT scan. Interobserver agreement was best when fractures were classified using CT scans
Beschreibung:Date Revised 16.07.2022
published: Electronic-eCollection
Citation Status PubMed-not-MEDLINE
ISSN:2666-6383
DOI:10.1016/j.jseint.2022.03.005