Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement

Mehrnoush Salarian; Maysam Shahedi; Eli Gibson; Mena Gaed; José A. Gómez; Madeleine Moussa; Glenn S. Bauman; Aaron D. Ward

doi:10.1117/12.2007103

29 March 2013 Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement

Mehrnoush Salarian, Maysam Shahedi, Eli Gibson, Mena Gaed, José A. Gómez, Madeleine Moussa, Glenn S. Bauman, Aaron D. Ward

Author Affiliations +

Proceedings Volume 8676, Medical Imaging 2013: Digital Pathology; 86760F (2013) https://doi.org/10.1117/12.2007103
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

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).

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Mehrnoush Salarian, Maysam Shahedi, Eli Gibson, Mena Gaed, José A. Gómez, Madeleine Moussa, Glenn S. Bauman, and Aaron D. Ward "Toward quantitative digital histopathology for prostate cancer: comparison of inter-slide interpolation methods for tumour measurement", Proc. SPIE 8676, Medical Imaging 2013: Digital Pathology, 86760F (29 March 2013); https://doi.org/10.1117/12.2007103

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