IMAGE-INE: Analysing IMAGE Guidance ScaNs To PrEdict Late Toxicity After Radiotherapy In Head And Neck Cancer Patients

Status	Finished
Effective start/end date	1/04/19 → 31/08/21

UK central government bodies/local authorities, health and hospital authorities: £269,177.00

Machine-learning with region-level radiomic and dosimetric features for predicting radiotherapy-induced rectal toxicities in prostate cancer patients
Yang, Z., Noble, D. J., Shelley, L., Berger, T., Jena, R., McLaren, D. B., Burnet, N. G. & Nailon, W. H., Jun 2023, In: Radiotherapy and Oncology. 183, p. 109593 109593.
Research output: Contribution to journal › Article › peer-review

Open Access
Assessing the generalisability of radiomics features previously identified as predictive of radiation-induced sticky saliva and xerostomia
Berger, T., Noble, D. J., Yang, Z., Shelley, L. E. A., McMullan, T., Bates, A., Thomas, S., Carruthers, L. J., Beckett, G., Duffton, A., Paterson, C., Jena, R., McLaren, D. B., Burnet, N. G. & Nailon, W. H., Jan 2023, In: Physics and Imaging in Radiation Oncology. 25, 100404.
Research output: Contribution to journal › Article › peer-review

Open Access
Predicting radiotherapy-induced xerostomia in head and neck cancer patients using day-to-day kinetics of radiomics features
Berger, T., Noble, D. J., Shelley, L. E. A., McMullan, T., Bates, A., Thomas, S., Carruthers, L. J., Beckett, G., Duffton, A., Paterson, C., Jena, R., McLaren, D. B., Burnet, N. G. & Nailon, W. H., 4 Nov 2022, In: Physics and Imaging in Radiation Oncology. 24, p. 95-101 7 p.
Research output: Contribution to journal › Article › peer-review

Open Access

Project Details