Development and validation of a prognostic model incorporating texture analysis derived from standardised segmentation of PET in patients with oesophageal cancer
- Submitting institution
-
Cardiff University / Prifysgol Caerdydd
- Unit of assessment
- 12 - Engineering
- Output identifier
- 96252833
- Type
- D - Journal article
- DOI
-
10.1007/s00330-017-4973-y
- Title of journal
- European Radiology
- Article number
- -
- First page
- 428
- Volume
- 28
- Issue
- -
- ISSN
- 0938-7994
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2017
- URL
-
http://dx.doi.org/10.1007/s00330-017-4973-y
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
8
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Won ESGAR 2018 silver award best paper in European Radiology journal (Central ESGAR Office office@esgar.org). Led to several grants: EPSRC EP/N509449/1: (Spezi, £72k); Moondance Foundation (Spezi, £82k ); Moondance Foundation (Foley, £129k); Wales Cancer Research Centre fellow, Velindre Cancer Services (Foley, £25k) and to several invited keynote lectures: ESGAR Conference (Dublin 2018, office@esgar.org); UKIO conference (Liverpool 2019, ukio@profileproductions.co.uk); MAASTRO Clinic (Postdoctoral Research Fellow). The scale of this work was recognised by an influential review paper (10.1007/s00261-018-1724-8).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -