Rationale and Objectives Following autosomal dominant polycystic kidney disease (ADPKD) progression by measuring organ volumes requires low measurement variability …
Statistical shape modeling (SSM) is a powerful computational framework for quantifying and analyzing the geometric variability of anatomical structures, facilitating advancements in …
Abdominal imaging of autosomal dominant polycystic kidney disease (ADPKD) has historically focused on detecting complications such as cyst rupture, cyst infection …
S Di Pietro, AG Torcitto, C Marcantoni, G Giordano… - Diagnostics, 2023 - mdpi.com
Autosomal dominant polycystic renal disease (ADPKD) is the most frequent kidney inheritable disease, characterized by the presence of numerous bilateral renal cysts …
Purpose This study aimed to investigate if a deep learning model trained with a single institution's data has comparable accuracy to that trained with multi-institutional data for …
MR Prince, E Weiss, JD Blumenfeld - Journal of Clinical Medicine, 2023 - mdpi.com
Following patients with Autosomal Dominant Polycystic Kidney Disease (ADPKD) has been challenging because serum biomarkers such as creatinine often remain normal until …