Xiaoxin Kan

I am a final year PhD student in the Department of Chemical Engineering. My research focuses on numerical simulation of the thoracic endovascular aortic repair (TEVAR) procedure in treating aortic diseases. This virtual stent-graft deploy model has included most of current available commercial stent-graft devices and patient data from two clinical centres. This model will be further explored and developed as pre-surgical planning tool in future.

I completed my undergraduate study in Theoretical and Applied Mechanics at Fudan University (Shanghai, China), where I started my journey in study biomechanical problems in aortic diseases. This was followed by my study with MSc in Biomedical Engineering at Southampton University with research topic in fluid and structure simulation of aortic valve. The following year I worked as numerical simulation engineering and research and design engineer for Microport and Medtronic respectively, where I gained a lot of experience in medical device related simulation.

Biography

October 2017 - Present
PhD candidate in Chemical Engineering, Department of Chemical Engineering, Imperial College London, UK

March - August 2017
Research & Technology Intern, Medtronic Shanghai Innovation Centre (MSIC), Medtronic, Shanghai, China

October 2016 - March 2017
Research & Design Engineer, Numerical Simulation Centre, Microport Scientific Co. Shanghai, China

2015 - 2016
MSc in Biomedical Engineering (Advanced Mechanical Engineering Science), University of Southampton, UK

2014 - 2015
Research Assistant, Department of Mechanical Engineering Science, Fudan University, China

2010 - 2014
BSc in Theoretical and Applied Mechanics, Department of Mechanical Engineering Science, Fudan University, China

Research Interests

My research interests include the numerical simulation of aortic diseases and the intervention procedures. My current research focuses on the virtual stent-graft deployment model in aortic dissection patients aiming to develop it as a pre-surgical planning tool in the future.

Project Title

"Predicting stent induced new entry evolution in patient-specific Stanford B aortic dissection model". 

Supervisors

Prof Xiao Yun Xu

Department of Chemical Engineering, Imperial College London, UK

Publications

Kan, X., Ma, T., Lin, J., Wang, L., Dong, Z. and Xu, X.Y., 2021. Patient-specific simulation of stent-graft deployment in type B aortic dissection: model development and validation. Biomechanics and Modeling in Mechanobiology, pp.1-12.

Kan, X., Ma, T., Dong, Z. and Xu, X.Y., 2021. Patient-Specific Virtual Stent-Graft Deployment for Type B Aortic Dissection: A Pilot Study of the Impact of Stent-Graft Length. Frontiers in Physiology, 12.

Yuan, X.*, Kan, X.*, Xu, X.Y. and Nienaber, C.A., 2020. Finite element modeling to predict procedural success of thoracic endovascular aortic repair in type A aortic dissection. JTCVS Techniques, 4, pp.40-47.

Conferences

Kan, X., Yuan, X., Salmasi, M.Y., Moore, J., Sasidharan, S., Athanasiou, A., Xu, X.Y. and Nienaber, C.A., 2021. Comprehensive Mechanical Modelling of Thoracic Endovascular Aortic Repair in Type A Aortic Dissection. Circulation, 144(Suppl_1), pp.A10478-A10478.

Yuan, X., Kan, X., Xu, X.Y. and Nienaber, C., 2021. Identifying and quantifying the 4D motion of aortic root. Journal of the American College of Cardiology, 77(18_Supplement_1), pp.1832-1832.

Funding and Awards 

Fully funded PhD scholarship awarded by the China Scholarship Council (CSC).

Contact Details

OFFICE

ACEX 1M17, Department of Chemical Engineering

Imperial College London, South Kensington Campus

London, SW7 2AZ, UK

OFFICE PHONE 

+44 (0)207 594 2562

Email
Email Xiaoxin