- Abstract:
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Objectives This retrospective cohort study developed a prognostic model incorporating PET texture analysis in patients with oesophageal cancer (OC). Internal validation of the model was performed.
Methods Consecutive OC patients (n = 403) were chronologically separated into development (n = 302, September 2010-September 2014, median age = 67.0, males = 227, adenocarcinomas = 237) and validation cohorts (n = 101, September 2014-July 2015, median age ...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's Version
- Files:
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(pdf, 2.3MB)
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- Publisher copy:
- 10.1007/s00330-017-4973-y
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- Publisher:
- Springer Verlag Publisher's website
- Journal:
- European Radiology Journal website
- Volume:
- 28
- Issue:
- 1
- Pages:
- 428–436
- Publication date:
- 2017-08-02
- Acceptance date:
- 2017-06-28
- DOI:
- EISSN:
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1432-1084
- ISSN:
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0938-7994
- Pubs id:
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pubs:930214
- URN:
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uri:5c4e3f59-613a-4121-b699-f688c3c16442
- UUID:
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uuid:5c4e3f59-613a-4121-b699-f688c3c16442
- Local pid:
- pubs:930214
- Language:
- English
- Keywords:
- Copyright holder:
- Foley et al.
- Copyright date:
- 2017
- Notes:
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Copyright © 2017 The Authors.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Journal article
Development and validation of a prognostic model incorporating texture analysis derived from standardised segmentation of PET in patients with oesophageal cancer
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