Comparison between 2D and 3D computed tomography evaluation of glenoid bone defect in unilateral anterior gleno-humeral instability
Purpose This study evaluated the agreement between 2D and 3D computed tomography (CT) measurements in identifying the size and type of glenoid-bone defect in anterior glenohumeral instability. Materials and methods One hundred patients affected by unilateral anterior glenohumeral instability underwe...
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Published in | Radiologia medica Vol. 117; no. 1; pp. 102 - 111 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Milan
Springer Milan
01.02.2012
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Subjects | |
Online Access | Get full text |
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Summary: | Purpose
This study evaluated the agreement between 2D and 3D computed tomography (CT) measurements in identifying the size and type of glenoid-bone defect in anterior glenohumeral instability.
Materials and methods
One hundred patients affected by unilateral anterior glenohumeral instability underwent a CT of both shoulders. Images were processed with both 2D [multiplanar reconstruction (MPR)] and 3D [volumerendering (VR)] methods. The area of the missing glenoid was calculated in comparison with the healthy glenoid and expressed as a percentage. Agreement between the two measurements was assessed according to the Bland-Altman method; a 5% mean difference was considered as clinically relevant.
Results
Analysis of agreement between MPR and VR measurements of the percentage of missing glenoid showed a mean difference equal to 0.62%±1.96%. Percent agreement between the two measurements in detecting the presence of bone defect was 97% (
p
<0.0001). Percent agreement between the two measurements in discriminating the type of bone defect was 97% (
p
<0.0001).
Conclusions
Agreement between 2D (MPR) and 3D (VR) CT measurements to identify the size and type of glenoid-bone defect in anterior glenohumeral instability was so high that the two measurements can be considered interchangeable. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0033-8362 1826-6983 |
DOI: | 10.1007/s11547-011-0712-7 |