Analysis of 3D nuclear spatial architecture for prostate cancer risk stratification (Conference Presentation)

Robert B. Serafin; Vanessa Roybal; Can Koyuncu; Weisi Xie; Jonathan T. C. Liu

doi:10.1117/12.2649164

15 March 2023 Analysis of 3D nuclear spatial architecture for prostate cancer risk stratification (Conference Presentation)

Robert B. Serafin, Vanessa Roybal, Can Koyuncu, Weisi Xie, Jonathan T. C. Liu

Author Affiliations +

Proceedings Volume PC12385, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXX; PC123850A (2023) https://doi.org/10.1117/12.2649164
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Non-destructive 3D microscopy enables the accurate characterization of diagnostically and prognostically significant microstructures in clinical specimens with significantly increased volumetric coverage than traditional 2D histology. We are using open-top light-sheet microscopy to image prostate cancer biopsies and investigating the prognostic significance of 3D spatial features of nuclei within prostate cancer microstructures. Using a previously published 3D nuclear segmentation workflow, we identify a preliminary set of 3D graph-based nuclear features to quantify the 3D spatial arrangement of nuclei in prostate cancer biopsies. Using a machine classifier, we identify the features which prognosticate prostate cancer risk and demonstrate agreement with patient outcomes.

Conference Presentation

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Robert B. Serafin, Vanessa Roybal, Can Koyuncu, Weisi Xie, and Jonathan T. C. Liu "Analysis of 3D nuclear spatial architecture for prostate cancer risk stratification (Conference Presentation)", Proc. SPIE PC12385, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXX, PC123850A (15 March 2023); https://doi.org/10.1117/12.2649164

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KEYWORDS

Prostate cancer

Image segmentation

Microscopy

Prostate

3D image processing

3D microstructuring

Biopsy

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