Use this URL to cite or link to this record in EThOS: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.581448 |
![]() |
|||||
Title: | Characterising tumours using high-frequency ultrasound | ||||
Author: | Abdelrahman, Mostafa |
ISNI:
0000 0004 2747 9066
|
|||
Awarding Body: | University of Leeds | ||||
Current Institution: | University of Leeds | ||||
Date of Award: | 2012 | ||||
Availability of Full Text: |
|
||||
Abstract: | |||||
Cancers trigger angiogenesis in neighbouring tissue and recruit new blood
vessels to grow and metastasise. Therefore, therapeutic and diagnostic
strategies have been moving towards targeting tumour neoangiogenesis as
a key factor in the progress and assessment of the disease. High-frequency
ultrasound (HF-US) offers a low-cost and non invasive approach for studying
the efficacy of antiangiogenic therapies in the pre-clinical setting. However,
there is little information in the literature about the performance of HF-US in
vivo in regards of evaluating tumour vascularity and its correlation with
microvessel density (MVD). The aim of this thesis was to optimise a HF-US
system to investigate its ability to visualise and to quantify tumour
parameters, particularly tumour blood flow, in colorectal cancer (CRC)
mouse model.
The performance of a HF~US (~ 25 MHz) system was evaluated in vitro
using test objects in order to assess the ability of the system to study the
normal mouse colon and to optimise its scanning parameters for imaging
tumour blood flow. This was followed by two in vivo approaches. Firstly, the
feasibility of using HF-US in depicting the mouse colon and measuring its
thickness accurately and reproducibly as a potential model for CRC was
established. Secondly, the performance of different HF-US blood flow
imaging techniques was compared in a CRC xenograft model and
correlations between the different ultrasonic vascular parameters and MVD
determined.
|
|||||
Supervisor: | Not available | Sponsor: | Not available | ||
Qualification Name: | Thesis (Ph.D.) | Qualification Level: | Doctoral | ||
EThOS ID: | uk.bl.ethos.581448 | DOI: | Not available | ||
Share: |