Biomechanical validation of computer assisted planning of periacetabular osteotomy: A preliminary study based on finite element analysis

Liu, Li; Ecker, Timo; Xie, L; Schumann, Steffen; Siebenrock, Klaus-Arno; Zheng, Guoyan (2015). Biomechanical validation of computer assisted planning of periacetabular osteotomy: A preliminary study based on finite element analysis. Medical engineering & physics, 37(12), pp. 1169-1173. Elsevier 10.1016/j.medengphy.2015.09.002

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Periacetabular Osteotomy (PAO) is a joint preserving surgical intervention intended to increase femoral head coverage and thereby to improve stability in young patients with hip dysplasia. Previously, we developed a CT-based, computer-assisted program for PAO diagnosis and planning, which allows for quantifying the 3D acetabular morphology with parameters such as acetabular version, inclination, lateral center edge (LCE) angle and femoral head coverage ratio (CO). In order to verify the hypothesis that our morphology-based planning strategy can improve biomechanical characteristics of dysplastic hips, we developed a 3D finite element model based on patient-specific geometry to predict cartilage contact stress change before and after morphology-based planning. Our experimental results demonstrated that the morphology-based planning strategy could reduce cartilage contact pressures and at the same time increase contact areas. In conclusion, our computer-assisted system is an efficient tool for PAO planning.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB
04 Faculty of Medicine > Department of Orthopaedic, Plastic and Hand Surgery (DOPH) > Clinic of Orthopaedic Surgery

Graduate School:

Graduate School for Cellular and Biomedical Sciences (GCB)

UniBE Contributor:

Liu, Li; Ecker, Timo; Schumann, Steffen; Siebenrock, Klaus-Arno and Zheng, Guoyan

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISSN:

1350-4533

Publisher:

Elsevier

Language:

English

Submitter:

Li Liu

Date Deposited:

09 Feb 2016 11:57

Last Modified:

09 Feb 2016 11:57

Publisher DOI:

10.1016/j.medengphy.2015.09.002

PubMed ID:

26483078

BORIS DOI:

10.7892/boris.75251

URI:

https://boris.unibe.ch/id/eprint/75251

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