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Proceedings Paper

Colorectal tumor identification by transferring knowledge from pan-cytokeratin to H&E
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Paper Abstract

Tumor budding is a recently recognized, independent prognostic factor in colorectal cancer, but lacks a standardized assessment methodology. Although staining with pan-cytokeratin has been shown to mitigate the issue of lack of reproducible, intra-observer agreement, usage of this antibody remains expensive and is limited in clinical practice. We propose an automated image analysis framework to take advantage of the visual superiority of pan-cytokeratin and the routine use of H&E to detect and quantify tumor budding. Our framework has demonstrated promising ability to identify tumor regions of colorectal slides – 92.0% accuracy, 94.5% sensitivity, and 85% specificity – across four independent datasets.

Paper Details

Date Published: 18 March 2019
PDF: 9 pages
Proc. SPIE 10956, Medical Imaging 2019: Digital Pathology, 1095614 (18 March 2019); doi: 10.1117/12.2513014
Show Author Affiliations
Thomas E. Tavolara, Ctr. for Biomedical Informatics, Wake Forest School of Medicine (United States)
Muhammad Khalid Khan Niazi, Ctr. for Biomedical Informatics, Wake Forest School of Medicine (United States)
Wei Chen M.D., The Ohio State Univ. Wexner Medical Ctr. (United States)
Wendy Frankel M.D., The Ohio State Univ. Wexner Medical Ctr. (United States)
Metin N. Gurcan, Wake Forest School of Medicine (United States)


Published in SPIE Proceedings Vol. 10956:
Medical Imaging 2019: Digital Pathology
John E. Tomaszewski; Aaron D. Ward, Editor(s)

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