Event Details

Date:
Tuesday, 16 March 2021
Time:
9:30 am - 10:30 am
Room:
Zoom
URL:
https://cai.centre.uq.edu.au/event/session/2362
Event category(s):

Event Contact

Name:
Ms Maria Moran
Phone:
51785
Email:
m.moran3@uq.edu.au
Org. Unit:
Advanced Imaging

Event Description

Full Description:
Dr Caterina Brighi, MRes, PhD, Postdoctoral Research Associate,
ACRF Image X Institute, Central Clinical School, Faculty of Medicine and Health,
The University of Sydney, presents:

Mapping the tumour heterogeneity with multiparametric MRI: changing the paradigm of radiotherapy treatments of brain cancer

Abstract: Glioblastoma (GBM) is one of the most aggressive types of brain cancers with an extremely poor five-years survival rate of 5.1%. Improving clinical outcome for GBM is difficult, due to the highly heterogeneous nature of this tumour. Information on the biological diversity within the tumour lesion is not incorporated into current radiotherapy treatment (RT) plans, leading to “one size fits all” treatment approach that has proven to be ineffective, as the majority of tumours recur locally after a few months following standard treatment. An opportunity to improve the standard of care of glioblastoma patients lies in the development of an imaging biomarker for infiltrating tumour. This would result in a more accurate definition of the target volume in RT planning, thereby allowing RT plans to be adapted to deliver higher doses selectively to the biologically active tumour and to spare unnecessary treatment to healthy brain tissue with a “dose-painting” approach.

As the heterogeneous nature of GBM tumours results in different physiological footprints of different areas of the tumour, an accurate diagnosis of tumour cells infiltration most likely requires the combination of multiple rather than a single imaging modality. In the last decade, several studies focusing on the development of multiparametric MRI (mpMRI) models to predict the probability of tumour infiltration beyond the core tumour mass have been published. While these studies have mainly focused on the development and testing of the models’ accuracy, they have only speculated on the possible applications of these models into clinical practice. My work focuses on exploring the feasibility of integrating mpMRI models of tumour infiltration into RT planning. I am interested in evaluating the repeatability of RT dose plans obtained from mpMRI-derived maps of probability of tumour infiltration, and in assessing whether using these dose plans in a dose-painting approach would lead to improved local tumour control compared to standard clinical RT plans.

Register for this webinar: https://cai.centre.uq.edu.au/event/session/2362

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