Media coverage
1
Media coverage
Title CT Radiomics_Summary of media coverage Media name/outlet Multiple sources Country/Territory United Kingdom Date 01/12/2019 Description School of Medicine, Dentistry and Biomedical Sciences 10 (100%)
10-10-2019 Highland Radio
Prostate cancer research - Dr Sarah Osman
10-10-2019 Highland Radio
Prostate cancer research - Dr Sarah Osman
09-10-2019 Kfm Radio
Queens University Finds New Way Of Forecasting How Aggressive Prostate Cancer May Be.
09-10-2019 Biospectrum India
Researchers find way to assess prostate cancer aggressiveness
09-10-2019 Var India Online
Discover the new way to i ...
09-10-2019 Var India Online
Discover the new way to improve the assessment of prostate cancer aggressiveness
09-10-2019 Sync NI
QUB researchers improve assessment of prostate cancer aggression
09-10-2019 BBC Northern Ireland
BBC 1 NI, Breakfast, 09/10/2019
09-10-2019 BBC Radio Ulster
BBC Radio Ulster, Good Morning Ulster, 09/10/2019
08-10-2019 The Irish Sun (Circulaon : 61149)
CT SCANS ASSIST BIG C DIAGNOSISPersons Aidan Cole
Media contributions
1Media contributions
Title CT Radiomics in Prostate Cancer Degree of recognition International Media type Television Country/Territory United Kingdom Date 28/09/2019 Description Features extracted from routinely acquired CT images can be used to classify risk among prostate-cancer patients. Using a machine-learning method, researchers in the UK and Netherlands trained prediction models to identify textural and intensity-based features imperceptible to human observers, and to associate them with commonly used measures of disease progression. The technique could complement conventionally used methods and in the long-run could lead to a non-invasive alternative to tissue biopsies for guiding treatment decisions (Int. J. Radiat. Oncol. Biol. Phys. 10.1016/j.ijrobp.2019.06.2504). URL https://physicsworld.com/a/ct-based-radiomics-reveals-prostate-cancer-risk/ Persons Aidan Cole, Suneil Jain
Keywords
- radiomics