Comparison of total hip arthroplasty surgical approaches by Principal Component Analysis.

Mantovani, G.; Lamontagne, M.; Varin, D.; Cerulli, Giuliano Giorgio; PE Beaulé, .

doi:10.1016/j.jbiomech.2012.05.041

Gait adaptationsarepersistentaftertotalhiparthroplastyandcandependonthetypeofsurgery.This studyfocusedontwosurgicalapproaches:anteriorandlateral.Toanalyzegaitadaptations, biomechanicalanalysesusuallyemployan a priori selectionoftheparametersthatleadstoincomplete or redundantinformation.Incontrast,PrincipalComponentAnalysis(PCA)providesanefficient transformationofthedatasetbyautomaticallyidentifyingthemajorsourcesofvariability.Thepurpose of thisstudywastoinvestigatedifferencesinlevel-walkingamongthreegroupsofparticipantsusing PCA:patientsundergoingananteriorsurgicalapproach,patientsundergoingalateralsurgical approach,andhealthycontrols.Biomechanicaldescriptionsoftheextractedprincipalcomponents aidedintheinterpretationofthestatisticallysignificantresultsobtainedfrommultivariateanalysisof covariance(MANCOVA)tests.Apointsystemwasintroducedtosummarizetheresultsandguidethe interpretation.PCAcapturedreducedmagnitudeinsagittalandfrontalmomentsintheanterior approachgroup,andreducedsagittalpeaksangleinthelateralgroup,aspreviouslyfoundwith traditionalanalyses.PCAalsoidentifiedsignificantpatterndelaysintheanteriorgroup,unnoticedin previousstudies.Inconclusion,neithersurgicalapproachrestorednormalgaitfunctionalitybecause lower extremitykineticsandkinematicsalterationspersistedat300-dayfollow-upafterthesurgery, regardlessofthetechnique.

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Titolo:	Comparison of total hip arthroplasty surgical approaches by Principal Component Analysis.
Autori:	G. Mantovani M. Lamontagne D. Varin CERULLI, Giuliano Giorgio PE Beaulé . mostra contributor esterni nascondi contributor esterni
Data di pubblicazione:	2012
Rivista:	JOURNAL OF BIOMECHANICS
Abstract:	Gait adaptationsarepersistentaftertotalhiparthroplastyandcandependonthetypeofsurgery.This studyfo...cusedontwosurgicalapproaches:anteriorandlateral.Toanalyzegaitadaptations, biomechanicalanalysesusuallyemployan a priori selectionoftheparametersthatleadstoincomplete or redundantinformation.Incontrast,PrincipalComponentAnalysis(PCA)providesanefficient transformationofthedatasetbyautomaticallyidentifyingthemajorsourcesofvariability.Thepurpose of thisstudywastoinvestigatedifferencesinlevel-walkingamongthreegroupsofparticipantsusing PCA:patientsundergoingananteriorsurgicalapproach,patientsundergoingalateralsurgical approach,andhealthycontrols.Biomechanicaldescriptionsoftheextractedprincipalcomponents aidedintheinterpretationofthestatisticallysignificantresultsobtainedfrommultivariateanalysisof covariance(MANCOVA)tests.Apointsystemwasintroducedtosummarizetheresultsandguidethe interpretation.PCAcapturedreducedmagnitudeinsagittalandfrontalmomentsintheanterior approachgroup,andreducedsagittalpeaksangleinthelateralgroup,aspreviouslyfoundwith traditionalanalyses.PCAalsoidentifiedsignificantpatterndelaysintheanteriorgroup,unnoticedin previousstudies.Inconclusion,neithersurgicalapproachrestorednormalgaitfunctionalitybecause lower extremitykineticsandkinematicsalterationspersistedat300-dayfollow-upafterthesurgery, regardlessofthetechnique.
Handle:	http://hdl.handle.net/11391/929583
Appare nelle tipologie:	1.1 Articolo in rivista

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