Related Experiment Video
Updated: Jul 22, 2025

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring
Published on: June 23, 2015
Function follows form: the quest for the best prognostic imaging biomarker in ADPKD
1Department of Medicine, Cantonal Hospital Frauenfeld, Spital Thurgau AG, Frauenfeld, Switzerland; University of Zurich, Zurich, Switzerland.
Abstract:
Total kidney volume represents the most solid prognostic biomarker for autosomal dominant polycystic kidney disease, because it mirrors cyst growth that precedes kidney function decline. Considerable variability of glomerular filtration rate trajectories, however, remains unexplained by total kidney volume, and its calculation is time-consuming. Using deep learning algorithms, Gregory et al. determined total kidney volume and other, novel, imaging-based biomarkers. They achieved automation and improved prognostic accuracy for long-term kidney function loss, yet the study leaves some open questions and room for further improvement.

