Thesis icon

Thesis

Using metabolic medical imaging to model tumour growth and response to therapy

Abstract:

The number of cancer related deaths is predicted to reach over 13.1 million in 2030. Understanding the spatio-temporal evolution of tumours and their response to therapy is crucial to thwart this gloomy prognosis. Mathematical models have been used to elucidate the biological processes involved in tumour growth, but their complexity severely limits their clinical value. Eective models should base predictions on patient-specic data that can be obtained and tested in the clinic.

<...> Expand abstract

Actions


Access Document


Files:

Authors


More by this author
Division:
MPLS
Department:
Engineering Science
Department:
University of Oxford
Role:
Author

Contributors

Department:
University of Oxford
Role:
Supervisor
Department:
King's College
Role:
Supervisor
Department:
University of Oxford
Role:
Examiner
Department:
University of Liverpool
Role:
Examiner
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
UUID:
uuid:53c261bf-f06e-44b7-b28b-0ca0bba6145b
Deposit date:
2018-10-20

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP