Extracting and analyzing 3D histomorphometric features related to perineural and lymphovascular invasion in prostate cancer

ArXi:2603.06936v1 Announce Type: new Diagnostic grading of prostate cancer (PCa) relies on the examination of 2D histology sections. However, the limited sampling of specimens afforded by 2D histopathology, and ambiguities when viewing 2D cross-sections, can lead to suboptimal treatment decisions. Recent studies have shown that 3D histomorphometric analysis of glands and nuclei can improve PCa risk assessment compared to analogous 2D features.