Prostate cancer risk stratification via non-destructive 3D pathology with annotation-free gland segmentation and analysis

摘要

2021 SEP 21 (NewsRx) - By a News Reporter-Staff News Editor at Disease Prevention Daily - According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from medrxiv.org: "Prostate cancer treatment planning is largely dependent upon examination of core-needle biopsies. "In current clinical practice, the microscopic architecture of the prostate glands is what forms the basis for prognostic grading by pathologists. Interpretation of these convoluted 3D glandular structures via visual inspection of a limited number of 2D histology sections is often unreliable, which contributes to the under-and over-treatment of patients. "To improve risk assessment and treatment decisions, we have developed a workflow for non-destructive 3D pathology and computational analysis of whole prostate biopsies labeled with a rapid and inexpensive fluorescent analog of standard H&E staining. "Our analysis is based on interpretable glandular features, and is facilitated by the development of image-translation-assisted segmentation in 3D (ITAS3D). ITAS3D is a generalizable deep-learning-based strategy that enables tissue microstructures to be volumetrically segmented in an annotation-free and objective (biomarker-based) manner without requiring real immunolabeling.