Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 9, 2025Open Access

Glomerular Segmentation, Classification, and Pathomic Feature-based Prediction of Clinical Outcomes in Minimal Change Disease and Focal Segmental Glomerulosclerosis

View Full Paper
Ask AI
Bookmark
Share

Authors

AAAkhil AmbekarMRMaryam RoohianQLQian Liu

Discussion

Loading...

Member takes

Overview

This analysis uses deep learning for glomerular segmentation to predict outcomes in focal segmental glomerulosclerosis and minimal change disease, suggesting new diagnostic pathways.

Key Points

  • Deep learning models accurately segment and classify glomeruli, leading to comparable outcomes to manual scoring.
  • The prognostic performance of pathomic features associated with disease progression and proteinuria remission were evaluated using Cox regression.
  • Agreement between computer-aided scoring and visual assessment was good for glomerulosclerosis, indicating reliability in automated methods.
  • Two pathomic features remained significant in predicting proteinuria remission after accounting for demographic and clinical factors.

Cite This Study

Ambekar et al. (2025) studied this question.

synapsesocial.com/papers/68e70da790569dd607ee5c5ehttps://doi.org/10.1101/2025.10.01.25336172
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Clinical Relevance of Computationally Derived Attributes of Arteries and Arterioles in focal segmental glomerulosclerosis and minimal change disease2025
  2. 2Computational Characterization of Lymphocyte Topology on Whole Slide Images of Glomerular Diseases2025
  3. 3Deep Learning Enables Automated Segmentation and Quantification of Ultrastructure from Transmission Electron Microscopy Images2025
  4. 4Patterns of Glomerular Injury: Histopathological Classification and Clinical Correlation2025
  5. 5Deep learning-based identification of necrosis and microvascular proliferation in adult diffuse gliomas from whole-slide images2025