Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/101698
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dc.contributorDepartment of Biomedical Engineering-
dc.creatorZhu, XZen_US
dc.creatorHan, CXen_US
dc.creatorAi, ZSen_US
dc.creatorWang, Wen_US
dc.creatorWu, SHen_US
dc.creatorZhao, KYen_US
dc.creatorLiao, Pen_US
dc.creatorMei, Jen_US
dc.date.accessioned2023-09-18T07:41:29Z-
dc.date.available2023-09-18T07:41:29Z-
dc.identifier.urihttp://hdl.handle.net/10397/101698-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).en_US
dc.rightsThe following publication Zhu, X. Z., Han, C. X., Ai, Z. S., Wang, W., Wu, S. H., Zhao, K. Y., ... & Mei, J. (2022). A quantitative study of bone defects in displaced femoral neck fractures based on virtual reduction techniques. Computer Methods and Programs in Biomedicine, 222, 106958 is available at https://doi.org/10.1016/j.cmpb.2022.106958.en_US
dc.subjectBone defectsen_US
dc.subjectFemoral neck fracturesen_US
dc.subjectQuantitative studyen_US
dc.subjectVirtual reductionen_US
dc.titleA quantitative study of bone defects in displaced femoral neck fractures based on virtual reduction techniquesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume222en_US
dc.identifier.doi10.1016/j.cmpb.2022.106958en_US
dcterms.abstractBackground: Bone defects in femoral neck fractures are strongly associated with the prognosis after internal fixation. However, qualitative analysis of bone defects in femoral neck fractures has already been performed, quantitative studies have not been reported. In this study, we aimed to systematically analyse the morphological characteristics of bone defects in patients with femoral neck fractures using computed tomography (CT) images combined with computer image analysis techniques.-
dcterms.abstractMethods: Four hundred and sixty-nine patients with femoral neck fractures from January 2014 to December 2018 at two grade A tertiary hospitals were included. Models were created in Mimics software based on CT images collected within 1 week after injury and then imported into 3-matic software for virtual reduction. The volume of the bone defect (VBD), maximum defect thickness (MDT), extent of the bone defect region (EBDR), main defect quadrant (MDQ), collapse type and fracture classification were calculated and recorded.-
dcterms.abstractResults: The EBDR, collapse type and MDT all had a significant positive effect on the VBD (P <0.05), with a more significant effect at higher quantiles. Age also had a significant positive effect on the VBD (P < 0.05), but its effect was more pronounced at lower quantiles. Compared to non-subcapital fractures, subcapital fractures had a positive effect on the VBD only at the 50 and 75% quantiles (P < 0.01). The female sex had a significant negative effect on the VBD compared to the male sex (P < 0.05).-
dcterms.abstractConclusion: This study established a reliable computer image processing method for quantitative analysis of the VBD in femoral neck fractures and revealed that all patients with femoral neck fractures had bone defects, which can occur at any part of the femoral neck. The EBDR, MDT, collapse type, and patient age and sex were all important risk factors for the extent of the defect and should be taken into account in surgical planning.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationComputer Methods and Programs in Biomedicine, July 2022, v. 222, 106958en_US
dcterms.isPartOfComputer methods and programs in biomedicineen_US
dcterms.issued2022-07-
dc.identifier.scopus2-s2.0-85132693924-
dc.identifier.pmid35738093-
dc.identifier.eissn0169-2607en_US
dc.identifier.artn106958en_US
dc.description.validate202309 bcvc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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