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Proceedings Paper

Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement
Author(s): Mehrnoush Salarian; Maysam Shahedi; Eli Gibson; Mena Gaed; José A. Gómez; Madeleine Moussa; Glenn S. Bauman; Aaron D. Ward
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Paper Abstract

Accurate pathology assessment of post-prostatectomy specimens is important to determine the need for and to guide potentially life-saving adjuvant therapy. Digital pathology imaging is enabling a transition to a more objective quantification of some surgical pathology assessments, such as tumour volume, that are currently visually estimated by pathologists and subject to inter-observer variability. One challenge for tumour volume quantification is the traditional 3–5 mm spacing of images acquired from sections of radical prostatectomy specimens. Tumour volume estimates may benefit from a well-motivated approach to inter-slide tumour boundary interpolation. We implemented and tested a level set-based interpolation method and found that it produced 3D tumour surfaces that may be more biologically plausible than those produced via a simpler nearest-slide interpolation. We found that the simpler method produced larger tumour volumes, compared to the level set method, by a median factor of 2.3. For contexts where only tumour volume is of interest, we determined that the volumes produced via the simpler method can be linearly adjusted to the level setproduced volumes. The smoother surfaces from level set interpolation yielded measurable differences in tumour boundary location; this may be important in several clinical/research contexts (e.g. pathology-based imaging validation for focal therapy planning).

Paper Details

Date Published: 29 March 2013
PDF: 6 pages
Proc. SPIE 8676, Medical Imaging 2013: Digital Pathology, 86760F (29 March 2013); doi: 10.1117/12.2007103
Show Author Affiliations
Mehrnoush Salarian, The Univ. of Western Ontario (Canada)
Maysam Shahedi, The Univ. of Western Ontario (Canada)
Robarts Research Institute (Canada)
Eli Gibson, Robarts Research Institute (Canada)
Mena Gaed, London Health Sciences Ctr. (Canada)
José A. Gómez, The Univ. of Western Ontario (Canada)
London Health Sciences Ctr. (Canada)
Madeleine Moussa, The Univ. of Western Ontario (Canada)
London Health Sciences Ctr. (Canada)
Glenn S. Bauman, The Univ. of Western Ontario (Canada)
London Health Sciences Ctr. (Canada)
Aaron D. Ward, The Univ. of Western Ontario (Canada)

Published in SPIE Proceedings Vol. 8676:
Medical Imaging 2013: Digital Pathology
Metin N. Gurcan; Anant Madabhushi, Editor(s)

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