Co-occurring gland angularity in localized subgraphs : Predicting biochemical recurrence in intermediate-risk prostate cancer patients
- Submitting institution
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King's College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 112401327
- Type
- D - Journal article
- DOI
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10.1371/journal.pone.0097954
- Title of journal
- PLoS ONE
- Article number
- e97954
- First page
- -
- Volume
- 9
- Issue
- 5
- ISSN
- 1932-6203
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2014
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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8
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Histopathology provides definitive prostate cancer diagnosis using appearance and structure of cell nuclei and lumen. In this proof of concept work, we demonstrated that alignment between the principle axis of nuclei and lumen measured on histopathology can distinguish benign from cancerous prostate tissue with 99% accuracy, and is predictive of biochemical prostate cancer recurrence (73.2% accuracy) in 40 patients. We validated this descriptor in a follow-up study on a larger cohort (https://doi.org/10.1016/j.euf.2016.05.009) and as ground truth in other imaging modalities (https://doi.org/10.1371/journal.pone.0200730). This work resulted in two patents (US9177105, US9183350).
- Author contribution statement
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- Non-English
- No
- English abstract
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