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Detection of articular perforations of the proximal humerus fracture using a mobile 3D image intensifier – a cadaver study

Overview of attention for article published in BMC Medical Imaging, August 2017
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Title
Detection of articular perforations of the proximal humerus fracture using a mobile 3D image intensifier – a cadaver study
Published in
BMC Medical Imaging, August 2017
DOI 10.1186/s12880-017-0201-0
Pubmed ID
Authors

Jan Theopold, Kevin Weihs, Christine Feja, Bastian Marquaß, Christoph Josten, Pierre Hepp

Abstract

The purpose of this study was to investigate the accuracy of perforation detection with multiplanar reconstructions using a mobile 3D image intensifier. In 12 paired human humeri, K-wires perforating the subchondral bone and placed just below the cartilage level were directed toward five specific regions in the humeral head. Image acquisition was initiated by a fluoroscopy scan. Within a range of 90°, 45° external rotation (ER) and 45° internal rotation (IR). The number and percentage of detected perforating screws were grouped and analyzed. Furthermore, the fluoroscopic images were converted into multiplanar CT-like reconstructions. Each K-wire perforation was characterized as "detected" or "not detected". In the series of fluoroscopy images in the standard neutral position at 30° internal rotation, and 30° external rotation, the perforations of all K-wires (n = 56) were detected. Twenty-nine (51.8%) of them were detected in one AP view, 22 (39.3%) in two AP views, and five (8.9%) in three AP views. All K-wire perforations (100%, n = 56) were detected in multiplanar reconstructions. In order to reveal all of the intraoperative and postoperative screw perforations in a "five screw configuration", conventional AP images should be established in both the neutral positions (0°), at 30° internal rotation and 30° external rotation. Alternatively, the intraoperative 3D scan with multiplanar reconstructions enables a 100% rate of detection of the screw perforations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 23%
Student > Postgraduate 3 23%
Student > Master 2 15%
Student > Ph. D. Student 2 15%
Unspecified 1 8%
Other 2 15%
Readers by discipline Count As %
Medicine and Dentistry 4 31%
Nursing and Health Professions 2 15%
Computer Science 2 15%
Arts and Humanities 1 8%
Unspecified 1 8%
Other 2 15%
Unknown 1 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 August 2017.
All research outputs
#21,264,673
of 23,881,329 outputs
Outputs from BMC Medical Imaging
#461
of 604 outputs
Outputs of similar age
#279,796
of 319,180 outputs
Outputs of similar age from BMC Medical Imaging
#3
of 3 outputs
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