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Novel histopathologic feature identified through image analysis augments stage II colorectal cancer clinical reporting

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Caie_2016_NovelHisto_Oncotarget_CC.pdf (7.139Mb)
Date
15/06/2016
Author
Caie, Peter David
Zhou, Ying
Turnbull, Arran
Oniscu, Anca
Harrison, David James
Keywords
Digital pathology
Big-data
Tumor buds
Poorly differentiated clusters
Data mining
RB Pathology
RC0254 Neoplasms. Tumors. Oncology (including Cancer)
NDAS
Metadata
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Abstract
A number of candidate histopathologic factors show promise in identifying stage II colorectal cancer (CRC) patients at a high risk of disease-specific death, however they can suffer from low reproducibility and none have replaced classical pathologic staging. We developed an image analysis algorithm which standardized the quantification of specific histopathologic features and exported a multi-parametric feature-set captured without bias. The image analysis algorithm was executed across a training set (n=50) and the resultant big data was distilled through decision tree modelling to identify the most informative parameters to sub-categorize stage II CRC patients. The most significant, and novel, parameter identified was the ‘sum area of poorly differentiated clusters’ (AreaPDC). This feature was validated across a second cohort of stage II CRC patients (n=134) (HR = 4; 95% CI, 1.5-11). Finally, the AreaPDC was integrated with the significant features within the clinical pathology report, pT stage and differentiation, into a novel prognostic index (HR = 7.5; 95% CI, 3-18.5) which improved upon current clinical staging (HR = 4.26; 95% CI, 1.7-10.3). The identification of poorly differentiated clusters as being highly significant in disease progression presents evidence to suggest that these features could be the source of novel targets to decrease the risk of disease specific death.
Citation
Caie , P D , Zhou , Y , Turnbull , A , Oniscu , A & Harrison , D J 2016 , ' Novel histopathologic feature identified through image analysis augments stage II colorectal cancer clinical reporting ' Oncotarget , vol. 7 , no. 28 , pp. 44381-44394 . DOI: 10.18632/oncotarget.10053
Publication
Oncotarget
Status
Peer reviewed
DOI
https://doi.org/10.18632/oncotarget.10053
ISSN
1949-2553
Type
Journal article
Rights
All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License
Description
Funding for the study was provided by the NHS Lothian Health Board.
Collections
  • Medicine Research
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/8989

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