$Does semi-automatic bone-fragment segmentation improve the reproducibility of the Letournel acetabular fracture classification?$

Does semi-automatic bone-fragment segmentation improve the reproducibility of the Letournel acetabular fracture classification?

Abstract Background The Letournel classification of acetabular fracture shows poor reproducibility in inexperienced observers, despite the introduction of 3D imaging. We therefore developed a method of semi-automatic segmentation based on CT data. The present prospective study aimed to assess: (1) w...

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Veröffentlicht in:	Orthopaedics & traumatology, surgery & research surgery & research, 2017-09, Vol.103 (5), p.633-638
Hauptverfasser:	Boudissa, M, Orfeuvre, B, Chabanas, M, Tonetti, J
Format:	Artikel
Sprache:	eng
Schlagworte:	3D reconstruction Acetabular fractures Acetabulum - diagnostic imaging Acetabulum - injuries Adult Bioengineering Case-Control Studies Computer Science Female Fractures, Bone - classification Fractures, Bone - diagnostic imaging Human health and pathology Humans Image Interpretation, Computer-Assisted - methods Imaging Internship and Residency Letournel classification Life Sciences Male Medical Imaging Middle Aged Modeling and Simulation Observer Variation Orthopedics Orthopedics - education Prospective Studies Reproducibility of Results Segmentation Software - economics Surgery Tomography, X-Ray Computed
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