Funding and publications

Funding

The Cancer Imaging Group gratefully acknowledges funding from the following sources:

  • Royal Society Te Apārangi
  • Ministry of Business, Innovation and Employment (MBIE)
  • Health Research Council of New Zealand
  • Cancer Research Trust of New Zealand
  • Te Aka Mātauranga: Centre for Cancer Research
  • Te Titoki Mataora/Medtech Research Translator

Publications

  1. Situ, J., Buissink, P., Mu, A., Chung, D.K.V., Finnegan, R., Babarenda Gamage, T.P., Jayathungage Don, T.D., Walker, C., Reynolds, H.M. (2024). An interactive 3D atlas of sentinel lymph nodes in breast cancer developed using SPECT/CT. Cancer Imaging 24(97), doi:10.1186/s40644-024-00738-z

  2. Jayathungage Don, T. D., Safaei, S., Maso Talou, G. D., Russell, P. S., Phillips, A. R. J., & Reynolds, H. M. (2024). Computational fluid dynamic modeling of the lymphatic system: a review of existing models and future directions. Biomechanics and modeling in mechanobiology, 23(1), 3-22. doi:10.1007/s10237-023-01780-9

  3. Dutta, A., Chan, J., Haworth, A., Dubowitz, D. J., Kneebone, A., & Reynolds, H. M. (2024). Robustness of magnetic resonance imaging and positron emission tomography radiomic features in prostate cancer: Impact on recurrence prediction after radiation therapy. Physics and imaging in radiation oncology, 29, 100530. doi:10.1016/j.phro.2023.100530

  4. Chan, T. H., Haworth, A., Wang, A., Osanlouy, M., Williams, S., Mitchell, C., Hofman, M.S., Hicks, R.J., Murphy, D.G., Reynolds, H. M. (2023). Detecting localised prostate cancer using radiomic features in PSMA PET and multiparametric MRI for biologically targeted radiation therapy. EJNMMI research, 13(1), 34. doi:10.1186/s13550-023-00984-5

  5. Reynolds, H. M., Tadimalla, S., Wang, Y.F., Montazerolghaem, M., Sun, Y., Williams, S., Mitchell, C., Finnegan, M.E., Murphy, D.G., Haworth, A. (2022). Semi-quantitative and quantitative dynamic contrast-enhanced (DCE) MRI parameters as prostate cancer imaging biomarkers for biologically targeted radiation therapy. Cancer Imaging, 22(1), 71. doi:10.1186/s40644-022-00508-9

  6. Reynolds, H. M., Williams, S., Jackson, P., Mitchell, C., Hofman, M. S., Hicks, R. J., Murphy, D.G., Haworth, A. (2019). Voxel-wise correlation of PET/CT with multiparametric MRI and histology of the prostate using a sophisticated registration framework. BJU International, 123(6), 1020-1030. doi:10.1111/bju.14648

  7. Blumgart, E. I., Uren, R. F., Nielsen, P. M. F., Nash, M. P., & Reynolds, H. M. (2011). Predicting lymphatic drainage patterns and primary tumour location in patients with breast cancer. Breast Cancer Res Treat, 130(2), 699-705. doi:10.1007/s10549-011-1737-2

  8. Reynolds, H. M., Dunbar, P. R., Uren, R. F., Blackett, S. A., Thompson, J. F., & Smith, N. P. (2007). Three-dimensional visualisation of lymphatic drainage patterns in patients with cutaneous melanoma. Lancet Oncology, 8(9), 806-812. doi:10.1016/S1470-2045(07)70176-6
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