Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/12797
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dc.contributor.authorRidzwan M.I.Z.
dc.contributor.authorSukjamsri C.
dc.contributor.authorPal B.
dc.contributor.authorvan Arkel R.J.
dc.contributor.authorBell A.
dc.contributor.authorKhanna M.
dc.contributor.authorBaskaradas A.
dc.contributor.authorAbel R.
dc.contributor.authorBoughton O.
dc.contributor.authorCobb J.
dc.contributor.authorHansen U.N.
dc.date.accessioned2021-04-05T03:21:37Z-
dc.date.available2021-04-05T03:21:37Z-
dc.date.issued2018
dc.identifier.issn7360266
dc.identifier.other2-s2.0-85044958576
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/12797-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85044958576&doi=10.1002%2fjor.23669&partnerID=40&md5=74237dd96a22a1461ccbe13316aa24bf
dc.description.abstractProximal femoral fractures can be categorized into two main types: Neck and intertrochanteric fractures accounting for 53% and 43% of all proximal femoral fractures, respectively. The possibility to predict the type of fracture a specific patient is predisposed to would allow drug and exercise therapies, hip protector design, and prophylactic surgery to be better targeted for this patient rendering fracture preventing strategies more effective. This study hypothesized that the type of fracture is closely related to the patient-specific femoral structure and predictable by finite element (FE) methods. Fourteen femora were DXA scanned, CT scanned, and mechanically tested to fracture. FE-predicted fracture patterns were compared to experimentally observed fracture patterns. Measurements of strain patterns to explain neck and intertrochanteric fracture patterns were performed using a digital volume correlation (DVC) technique and compared to FE-predicted strains and experimentally observed fracture patterns. Although loaded identically, the femora exhibited different fracture types (six neck and eight intertrochanteric fractures). CT-based FE models matched the experimental observations well (86%) demonstrating that the fracture type can be predicted. DVC-measured and FE-predicted strains showed obvious consistency. Neither DXA-based BMD nor any morphologic characteristics such as neck diameter, femoral neck length, or neck shaft angle were associated with fracture type. In conclusion, patient-specific femoral structure correlates with fracture type and FE analyses were able to predict these fracture types. Also, the demonstration of FE and DVC as metrics of the strains in bones may be of substantial clinical value, informing treatment strategies and device selection and design. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 36:993–1001, 2018. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc.
dc.subjectadult
dc.subjectaged
dc.subjectanalysis
dc.subjectArticle
dc.subjectbone structure
dc.subjectcervical spine fracture
dc.subjectdigital volume correlation analysis
dc.subjectdual energy X ray absorptiometry
dc.subjectfemale
dc.subjectfemoral neck
dc.subjectfemur fracture
dc.subjectfemur intertrochanteric fracture
dc.subjecthuman
dc.subjectmale
dc.subjectmechanical stimulus test
dc.subjectpriority journal
dc.subjecttreatment planning
dc.subjectx-ray computed tomography
dc.subjectbone density
dc.subjectdiagnostic imaging
dc.subjectfemoral neck fracture
dc.subjectfemur
dc.subjectfinite element analysis
dc.subjectmiddle aged
dc.subjectvalidation study
dc.subjectvery elderly
dc.subjectAdult
dc.subjectAged
dc.subjectAged, 80 and over
dc.subjectBone Density
dc.subjectFemale
dc.subjectFemoral Neck Fractures
dc.subjectFemur
dc.subjectFinite Element Analysis
dc.subjectHumans
dc.subjectMale
dc.subjectMiddle Aged
dc.titleFemoral fracture type can be predicted from femoral structure: A finite element study validated by digital volume correlation experiments
dc.typeArticle
dc.rights.holderScopus
dc.identifier.bibliograpycitationJournal of Orthopaedic Research. Vol 36, No.3 (2018), p.993-1001
dc.identifier.doi10.1002/jor.23669
Appears in Collections:Scopus 1983-2021

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