QCT-based finite element prediction of pathologic fractures in proximal femora with metastatic lesions

Emir Benca, Alexander Synek, Morteza Amini, Franz Kainberger, Lena Hirtler, Reinhard Windhager, Winfried Mayr, Dieter H Pahr

Research output: Journal article (peer-reviewed)Journal article

17 Citations (Scopus)

Abstract

Predicting pathologic fractures in femora with metastatic lesions remains a clinical challenge. Currently used guidelines are inaccurate, especially to predict non-impeding fractures. This study evaluated the ability of a nonlinear quantitative computed tomography (QCT)-based homogenized voxel finite element (hvFE) model to predict patient-specific pathologic fractures. The hvFE model was generated highly automated from QCT images of human femora. The femora were previously loaded in a one-legged stance setup in order to assess stiffness, failure load, and fracture location. One femur of each pair was tested in its intact state, while the contralateral femur included a simulated lesion on either the superolateral- or the inferomedial femoral neck. The hvFE model predictions of the stiffness (0.47 < R2 < 0.94), failure load (0.77 < R2 < 0.98), and exact fracture location (68%) were in good agreement with the experimental data. However, the model underestimated the failure load by a factor of two. The hvFE models predicted significant differences in stiffness and failure load for femora with superolateral- and inferomedial lesions. In contrast, standard clinical guidelines predicted identical fracture risk for both lesion sites. This study showed that the subject-specific QCT-based hvFE model could predict the effect of metastatic lesions on the biomechanical behaviour of the proximal femur with moderate computational time and high level of automation and could support treatment strategy in patients with metastatic bone disease.

Original languageEnglish
Article number10305
Pages (from-to)10305
JournalScientific Reports
Volume9
Issue number1
DOIs
Publication statusPublished - 1 Dec 2019
Externally publishedYes

Keywords

  • Aged
  • Aged, 80 and over
  • Bone Neoplasms/complications
  • Female
  • Femoral Fractures/diagnostic imaging
  • Finite Element Analysis
  • Fractures, Spontaneous/diagnostic imaging
  • Humans
  • Male
  • Patient-Specific Modeling
  • Tomography, X-Ray Computed

ASJC Scopus subject areas

  • Multidisciplinary

Fingerprint

Dive into the research topics of 'QCT-based finite element prediction of pathologic fractures in proximal femora with metastatic lesions'. Together they form a unique fingerprint.

Cite this