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dc.contributor.authorEsposito, L.
dc.contributor.authorMinutolo, V.
dc.contributor.authorGargiulo, P.
dc.contributor.authorJonsson, H.
dc.contributor.authorGislason, M. K.
dc.contributor.authorFraldi, M.
dc.date.accessioned2020-11-24T11:58:20Z
dc.date.available2020-11-24T11:58:20Z
dc.date.issued2020-09-01
dc.date.submitted2020-11
dc.identifier.citationEsposito L, Minutolo V, Gargiulo P, Jonsson H, Jr, Gislason MK, Fraldi M. Towards an App to Estimate Patient-Specific Perioperative Femur Fracture Risk. Applied Sciences. 2020; 10(18):6409.en_US
dc.identifier.doi10.3390/APP10186409
dc.identifier.urihttp://hdl.handle.net/2336/621577
dc.descriptionTo access publisher's full text version of this article click on the hyperlink belowen_US
dc.description.abstractTotal Hip Arthroplasty is one of the most successful surgery. However, due to the worldwide growing population life expectancy and the related incidence of age-dependent bone diseases, a growing number of cases of intra-operative fractures lead to revision surgery with high rates of morbidity and mortality. Surgeons choose the type of the implant, either cemented or cementless prosthesis, on the basis of the age, the quality of the bone and the general medical conditions of the patients. Generally, no quantitative measures are available to assess the intra-operative fracture risk. Consequently, the decision-making process is mainly based on medical operators’ expertise and qualitative information obtained by imaging. Motivated by this scenario, we here propose a mechanical-supported strategy to assist surgeons in their decisions, by giving intelligible maps of the risk fracture which take into account the interplay between actual strength distribution inside the bone tissue and its response to the forces exerted by the implant. To this end, we produce charts and patient-specific synthetic “traffic-light” indicators of fracture risk, by making use of ad hoc analytical solutions to predict the stress levels in the bone by means of CT-based mechanical and geometrical parameters of the patient. We felt that, if implemented in a friendly software or proposed as an app, the strategy could constitute a practical tool to help the medical decision-making process, in particular with respect to the choice of adopting cemented or cementless implanten_US
dc.description.sponsorshipUniversita degli Studi della Campania "L.Vanvitelli", grant Programma VALERE: "VAnviteLli pEr la RicErca", DDGen_US
dc.language.isoenen_US
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)en_US
dc.relation.urlhttps://www.mdpi.com/2076-3417/10/18/6409#citeen_US
dc.relation.urlen_US
dc.subjectBone elastic-plastic behavioren_US
dc.subjectIntra-operative femur fracture risken_US
dc.subjectTotal hip arthroplastyen_US
dc.subject.meshArthroplasty, Replacement, Hipen_US
dc.subject.meshDecision Makingen_US
dc.titleTowards an app to estimate patient-specific perioperative femur fracture risken_US
dc.typeArticleen_US
dc.identifier.eissn20763417
dc.contributor.department1 ]‎ Univ Campania Luigi Vanvitelli, Dept Engn, I-81031 Aversa, Italy Show more [ 2 ]‎ Reykjav Univ, Inst Biomed & Neural Engn, IS-101 Reykjavik, Iceland Show more [ 3 ]‎ Landspitali Univ Hosp, Dept Sci, IS-101 Reykjavik, Iceland Show more [ 4 ]‎ Univ Iceland, Landspitali Univ Hosp, Dept Orthopaed Surg, IS-101 Reykjavik, Iceland Show more [ 5 ]‎ Univ Napoli Federico II, Dept Struct Engn & Architecture, I-80125 Naples, Italyen_US
dc.identifier.journalApplied Sciences (Switzerland)en_US
dc.rights.accessOpen Accessen_US
dc.departmentcodeORT12
dc.departmentcodeRES12
dc.identifier.eid2-s2.0-85092008518
dc.identifier.scopusidSCOPUS_ID:85092008518
dc.source.journaltitleApplied Sciences (Switzerland)
dc.source.volume10
dc.source.issue18
refterms.dateFOA2020-11-24T12:06:43Z


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