Author:
Lad Jigar,Serra Stefano,Quereshy Fayez,Khorasani Mohammadali,Vitkin Alex
Abstract
AbstractUsing a novel variant of polarized light microscopy for high-contrast imaging and quantification of unstained histology slides, the current study assesses the prognostic potential of peri-tumoral collagenous stroma architecture in 32 human stage III colorectal cancer (CRC) patient samples. We analyze three distinct polarimetrically-derived images and their associated texture features, explore different unsupervised clustering algorithm models to group the data, and compare the resultant groupings with patient survival. The results demonstrate an appreciable total accuracy of ~ 78% with significant separation (p < 0.05) across all approaches for the binary classification of 5-year patient survival outcomes. Surviving patients preferentially belonged to Cluster 1 irrespective of model approach, suggesting similar stromal microstructural characteristics in this sub-population. The results suggest that polarimetrically-derived stromal biomarkers may possess prognostic value that could improve clinical management/treatment stratification in CRC patients.
Funder
Ontario Graduate Scholarship
Princess Margaret Hospital Foundation Graduate Fellowship in Cancer Research
New Frontiers in Research Fund
Canadian Institutes of Health Research
Natural Sciences and Engineering Research Council of Canada
Publisher
Springer Science and Business Media LLC
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