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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-12

AUTHORS

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

ABSTRACT

BACKGROUND: The purpose of this study was to investigate the accuracy of perforation detection with multiplanar reconstructions using a mobile 3D image intensifier. METHODS: 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". RESULTS: 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. CONCLUSION: 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. More... »

PAGES

47

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12880-017-0201-0

    DOI

    http://dx.doi.org/10.1186/s12880-017-0201-0

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1090935554

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28764643


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