Identifying prognostic structural features in tissue sections of colon cancer patients using point pattern analysis
- Submitting institution
-
Abertay University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 17489489
- Type
- D - Journal article
- DOI
-
10.1002/sim.8046
- Title of journal
- Statistics in Medicine
- Article number
- -
- First page
- 1421
- Volume
- 38
- Issue
- 8
- ISSN
- 0277-6715
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2018
- URL
-
-
- 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
-
6
- Research group(s)
-
D - Modelling & Simulation
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We present a statistical model to distinguish between patients who died from colorectal cancer and those alive at follow-up. Significantly, the model is based only on point process analysis of the spatial arrangement of cancer and stromal cells, data that can be collected through standard approaches to tissue sectioning and routine staining of cells and nuclei. A key contribution is the inclusion of void processes. Tissue at the tumour edge is complex architecturally and can have voids (e.g. vascularisation, regions populated by only one cell type). Our work is able to capture both voids and spatial mixing of cell types.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
