Enrico Dall'Arra

Dr Enrico Dall’Ara, PhD

Department of Oncology & Metabolism
The University of Sheffield
Medical School
Beech Hill Road
SHEFFIELD
S10 2RX

Room: DU19

Tel: +44 (0) 114 215 9079
Email : e.dallara@sheffield.ac.uk

Biography

In 2015 I was appointed as Lecturer in Musculoskeletal Multiscale Imaging at the Department of Human Metabolism.

I joined the University of Sheffield in 2013 as Marie Curie Fellow at the Department of Mechanical Engineering.

I hold a PhD in Biomechanics from the Vienna University of Technology and a Master degree in Mechanical Engineering from the University of Bologna.

Research Interests

My research interests are related to better understanding bone mechanics and remodelling with imaging, experimental and computational methods.

In particular the main goal of my research is to develop and validate computational models for the prediction of bone strength and risk of fracture in healthy and disease, applied to both preclinical and clinical studies.

Teaching Interests

I am a tutor and module leader for the Skeletal Health (MED6510) for the CIMA MRes.

I give invited lectures in different modules in engineering.

Professional activities

Council member for the European Society of Biomechanics since 2018

Board member for the UK chapter of the Virtual Physiological Human Institute since 2018

Member of the European society of Biomechanics since 2008, Bone Research Society since 2014, and European Calcified Tissues Society since 2015.

Reviewer for the major journals of biomechanics and bone research.

Research Projects

  1. Prediction of fracture risk for patient with vertebral metastases with QCT based computational models
  2. Investigation of the mechanical properties of subchondral bone from OA patients
  3. Validation of multiscale models for the musculoskeletal system with animal studies
  4. Validation of Finite Element models for bone at the tissue level
  5. The optimization of Digital Volume Correlation techniques for validating Finite Element models of bone
  6. Preclinical assessment of osteoarthritis with longitudinal microCT

Key publications

  1. Oliviero S, Giorgi M, Dall'Ara E (2018) Validation of finite element models of the mouse tibia using digital volume correlation, J Mech Behav Biomed Mater. 18;86:172-184.
  2. Viceconti M, Dall'Ara E (2018) From bed to bench: How in silico medicine can help ageing research, Mech Ageing Dev, epub
  3. Oliviero S, Lu Y, Viceconti M, Dall’Ara E (2017) Effect of integration time on the Morphometric, Densitometric and Mechanical Properties of the Mouse Tibia, J Biomech. 8;65:203-211.
  4. Lu Y, Boudiffa M, Dall’Ara E, Bellantuono I, Viceconti M (2017) Novel 4-dimensional approach reveals early localised changes in bone mineral content following PTH treatment in mice, J Mech Behav Biomed Mat, 75: 244-51
  5. Costa MC, Tozzi G, Cristofolini L, Danesi V, Viceconti M & Dall'Ara E (2017) Micro Finite Element models of the vertebral body: Validation of local displacement predictions. PLoS One, Jul 11;12(7):e0180151
  6. Palanca M, Bodey A, Giorgi M, Viceconti M, Lacroix D, Cristofolini L & Dall'Ara E (2017) Local displacement and strain uncertainties in different bone types by digital volume correlation of synchrotron microtomograms. J Biomech. 2017 Jun 14;58:27-36
  7. Chen Y, Dall'Ara E, Sales E, Manda K, Wallace R, Pankaj P & Viceconti M (2017) Micro-CT based finite element models of cancellous bone predict accurately displacement once the boundary condition is well replicated: A validation study. J Mech Behav Biomed Mater, 65, 644-651.
  8. Dall'Ara E, Barber D & Viceconti M (2014) About the inevitable compromise between spatial resolution and accuracy of strain measurement for bone tissue: A 3D zero-strain study. J Biomech, 47(12), 2956-2963.
  9. Dall'Ara E, Luisier B, Schmidt R, Kainberger F, Zysset P & Pahr D (2013) A nonlinear QCT-based finite element model validation study for the human femur tested in two configurations in vitro.. Bone, 52(1), 27-38.
  10. Dall'Ara E, Pahr D, Varga P, Kainberger F & Zysset P (2012) QCT-based finite element models predict human vertebral strength in vitro significantly better than simulated DEXA.. Osteoporos Int, 23(2), 563-572

Grants

  1. 2018-2022: SPINe: Numerical and Experimental Repair strategies (SPINNER) (coI, PI G Reilly, Horizon2020 ITN EID netwok, £476k)
  2. 2018-2021: In silico approaches for preclinical assessment of bone changes in osteoporosis and osteoarthritis studies (PI, research project NC3Rs, £352k)
  3. 2017-2020: Targeting mechanisms of ageing to maintain musculoskeletal health (coI, PI I Bellantuono, research project BBSRC, £261k)
  4. 2017-2018: Novel Assessment of the Osteoarthritic Hip Subchondral Bone: a Combined Experimental and Computational Investigation (PI, first grant scheme EPSRC, £101k)
  5. 2015-2018: Prediction of the risk of vertebral fracture I patients with metastatic lesions as a toll for more effective patients’ management (PI, Sheffield Hospitals Charity, £65k)
  6. 2015-2016: Multiscale characterization of osteoarthritic subchondral bone: combination of microCT, elastic registration and microindentation (PI, research project Royal Society, £15k)
  7. 2013-2015: Methodologically accurate modelling of bone (Fellow, IEF Marie Curie Fellowship, EU, €222k)