Femoral Shape and Size Variability from segmented CT datasets for patient-specific THA planning

Biomechanical functionality of artificial hips strongly correlates with quality of life of patients after total hip arthroplasty. As the numbers of total hip arthroplasty are growing due to increasing life expectancy, biomechanical research is of utmost importance to improve the implants used and th...

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Autores principales:	Fleischmann Christopher, Leher Irina, Sesselmann Stefan, Scherb David, Wolf Alexander, Miehling Jörg, Wartzack Sandro
Formato:	article
Lenguaje:	EN
Publicado:	De Gruyter 2020
Materias:	total hip arthroplasty biomechanics segmentation multibody simulation subject-specific modeling surgery planning orthopaedics Medicine R
Acceso en línea:	https://doaj.org/article/237e6c7f21d84bcf8bc1539250b2f03a
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spelling	oai:doaj.org-article:237e6c7f21d84bcf8bc1539250b2f03a2021-12-05T14:10:43ZFemoral Shape and Size Variability from segmented CT datasets for patient-specific THA planning2364-550410.1515/cdbme-2020-3125https://doaj.org/article/237e6c7f21d84bcf8bc1539250b2f03a2020-09-01T00:00:00Zhttps://doi.org/10.1515/cdbme-2020-3125https://doaj.org/toc/2364-5504Biomechanical functionality of artificial hips strongly correlates with quality of life of patients after total hip arthroplasty. As the numbers of total hip arthroplasty are growing due to increasing life expectancy, biomechanical research is of utmost importance to improve the implants used and the operative procedures applied. Multibody simulation is used to predict forces and moments inside the human body. Generic scaling is usually performed to adapt the human models used in multibody simulation to individual patients. However, since the shape and size of the bones can vary considerably, this type of scaling often is not sufficient. In this work various CT datasets were used to quantify differences of individual femoral shapes, especially with regard to important biomechanical hip parameters, such as the CCD angle or the femoral offset. Our results prove that multibody simulations should be modeled more patientspecific to be able to calculate articular forces and moments more precisely, and thus, to improve surgical planning.Fleischmann ChristopherLeher IrinaSesselmann StefanScherb DavidWolf AlexanderMiehling JörgWartzack SandroDe Gruyterarticletotal hip arthroplastybiomechanicssegmentationmultibody simulationsubject-specific modelingsurgery planningorthopaedicsMedicineRENCurrent Directions in Biomedical Engineering, Vol 6, Iss 3, Pp 486-488 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	total hip arthroplasty biomechanics segmentation multibody simulation subject-specific modeling surgery planning orthopaedics Medicine R
spellingShingle	total hip arthroplasty biomechanics segmentation multibody simulation subject-specific modeling surgery planning orthopaedics Medicine R Fleischmann Christopher Leher Irina Sesselmann Stefan Scherb David Wolf Alexander Miehling Jörg Wartzack Sandro Femoral Shape and Size Variability from segmented CT datasets for patient-specific THA planning
description	Biomechanical functionality of artificial hips strongly correlates with quality of life of patients after total hip arthroplasty. As the numbers of total hip arthroplasty are growing due to increasing life expectancy, biomechanical research is of utmost importance to improve the implants used and the operative procedures applied. Multibody simulation is used to predict forces and moments inside the human body. Generic scaling is usually performed to adapt the human models used in multibody simulation to individual patients. However, since the shape and size of the bones can vary considerably, this type of scaling often is not sufficient. In this work various CT datasets were used to quantify differences of individual femoral shapes, especially with regard to important biomechanical hip parameters, such as the CCD angle or the femoral offset. Our results prove that multibody simulations should be modeled more patientspecific to be able to calculate articular forces and moments more precisely, and thus, to improve surgical planning.
format	article
author	Fleischmann Christopher Leher Irina Sesselmann Stefan Scherb David Wolf Alexander Miehling Jörg Wartzack Sandro
author_facet	Fleischmann Christopher Leher Irina Sesselmann Stefan Scherb David Wolf Alexander Miehling Jörg Wartzack Sandro
author_sort	Fleischmann Christopher
title	Femoral Shape and Size Variability from segmented CT datasets for patient-specific THA planning
title_short	Femoral Shape and Size Variability from segmented CT datasets for patient-specific THA planning
title_full	Femoral Shape and Size Variability from segmented CT datasets for patient-specific THA planning
title_fullStr	Femoral Shape and Size Variability from segmented CT datasets for patient-specific THA planning
title_full_unstemmed	Femoral Shape and Size Variability from segmented CT datasets for patient-specific THA planning
title_sort	femoral shape and size variability from segmented ct datasets for patient-specific tha planning
publisher	De Gruyter
publishDate	2020
url	https://doaj.org/article/237e6c7f21d84bcf8bc1539250b2f03a
work_keys_str_mv	AT fleischmannchristopher femoralshapeandsizevariabilityfromsegmentedctdatasetsforpatientspecificthaplanning AT leheririna femoralshapeandsizevariabilityfromsegmentedctdatasetsforpatientspecificthaplanning AT sesselmannstefan femoralshapeandsizevariabilityfromsegmentedctdatasetsforpatientspecificthaplanning AT scherbdavid femoralshapeandsizevariabilityfromsegmentedctdatasetsforpatientspecificthaplanning AT wolfalexander femoralshapeandsizevariabilityfromsegmentedctdatasetsforpatientspecificthaplanning AT miehlingjorg femoralshapeandsizevariabilityfromsegmentedctdatasetsforpatientspecificthaplanning AT wartzacksandro femoralshapeandsizevariabilityfromsegmentedctdatasetsforpatientspecificthaplanning
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Femoral Shape and Size Variability from segmented CT datasets for patient-specific THA planning

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