IHMRI affiliation

Theme:Chronic Conditions and Lifestyle

Research focus

Dr Lauren Bell’s Research focus:  Brain cancer treatments can cause inflammation that looks similar to cancer progression on routine MRI imaging. Radiomics analysis of multi-parametric MRI will look for buried imaging features to help identify treatment response. This, combined with molecular testing of tissue and blood samples throughout the treatment process is expected to aid treatment management decisions.

Publications and funding

  • Bell, L., Holloway, L. C., Bruheim, K., Petric, P., Kirisits, C., Tanderup, K., Potter, R., Vinod, S., Lim, K., Pogson, E. M.,Metcalfe, P., Hellebust, T. P. (2020), Dose Planning Variations Related to Delineation Uncertainties in MRI-Guided
    Brachytherapy for Locally Advanced Cervical Cancer. Brachytherapy, 20: 30002-7.
  • Bell, L. R., Dowling, J. A., Pogson, E. M., Metcalfe, P., Holloway, L. (2017), Atlas-based segmentation technique
    incorporating inter-observer delineation uncertainty for whole breast. J Phys: Conf Ser, 777: 012002.
  • Vinod, S. K., Lim, K., Bell, L., Veera, J., Ohanessian. L., Juresic, E., Borok, N., Chan, P., Chee, R., Do, V., Govindarajulu, G., Sridharan, S., Johnson, C., Moses, D., Van Dyk, S., Holloway, L. (2017), Highrisk CTV delineation for cervix brachytherapy: Application of GECESTRO guidelines in Australia and New Zealand. J Med Imaging Radiat Oncol, 61: 133-140.
  • Bell, L. R., Pogson, E. M., Metcalfe, P. E. and Holloway, L. (2016), Defining and assessing an anisotropic delineation margin for modern radiotherapy. Med. Phys., 43: 6644- 6653.
  • Pogson, E. M., Bell, L., Batumalai, V., Koh, E. S., Delaney, G., Metcalfe, P. and Holloway, L. (2014), A comparison of
    coordinate systems for use in determining a radiotherapy delineation margin for whole breast. J Phys: Conf Ser, 489: