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Can patient-specific finite element models better predict fractures in metastatic bone disease than experienced clinicians?: Towards computational modelling in daily clinical practice.
Eggermont, F; Derikx, L C; Verdonschot, N; van der Geest, I C M; de Jong, M A A; Snyers, A; van der Linden, Y M; Tanck, E.
Afiliação
  • Eggermont F; Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands.
  • Derikx LC; Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands.
  • Verdonschot N; Orthopaedic Research Laboratory, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands and Laboratory of Biomechanical Engineering, Enschede, The Netherlands.
  • van der Geest ICM; Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands.
  • de Jong MAA; Radiotherapeutic Institute Friesland, Leeuwarden, The Netherlands.
  • Snyers A; Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands.
  • van der Linden YM; Department of Radiotherapy, Leiden University Medical Center, Leiden, The Netherlands.
  • Tanck E; Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, The Netherlands.
Bone Joint Res ; 7(6): 430-439, 2018 Jun.
Article em En | MEDLINE | ID: mdl-30034797
ABSTRACT

OBJECTIVES:

In this prospective cohort study, we investigated whether patient-specific finite element (FE) models can identify patients at risk of a pathological femoral fracture resulting from metastatic bone disease, and compared these FE predictions with clinical assessments by experienced clinicians.

METHODS:

A total of 39 patients with non-fractured femoral metastatic lesions who were irradiated for pain were included from three radiotherapy institutes. During follow-up, nine pathological fractures occurred in seven patients. Quantitative CT-based FE models were generated for all patients. Femoral failure load was calculated and compared between the fractured and non-fractured femurs. Due to inter-scanner differences, patients were analyzed separately for the three institutes. In addition, the FE-based predictions were compared with fracture risk assessments by experienced clinicians.

RESULTS:

In institute 1, median failure load was significantly lower for patients who sustained a fracture than for patients with no fractures. In institutes 2 and 3, the number of patients with a fracture was too low to make a clear distinction. Fracture locations were well predicted by the FE model when compared with post-fracture radiographs. The FE model was more accurate in identifying patients with a high fracture risk compared with experienced clinicians, with a sensitivity of 89% versus 0% to 33% for clinical assessments. Specificity was 79% for the FE models versus 84% to 95% for clinical assessments.

CONCLUSION:

FE models can be a valuable tool to improve clinical fracture risk predictions in metastatic bone disease. Future work in a larger patient population should confirm the higher predictive power of FE models compared with current clinical guidelines.Cite this article F. Eggermont, L. C. Derikx, N. Verdonschot, I. C. M. van der Geest, M. A. A. de Jong, A. Snyers, Y. M. van der Linden, E. Tanck. Can patient-specific finite element models better predict fractures in metastatic bone disease than experienced clinicians? Towards computational modelling in daily clinical practice. Bone Joint Res 2018;7430-439. DOI 10.1302/2046-3758.76.BJR-2017-0325.R2.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article