Published June 2024 | Version v1
Dissertation Open

MRI Radiomics for Imaging Genomics, Risk Classification, and Prediction of Disease Progression in Autosomal Dominant Polycystic Kidney Disease

Description

The overall goal of research was to analyze magnetic resonance imaging (MRI) radiomic features extracted from the non-cystic kidney parenchyma of patients with autosomal dominant polycystic kidney disease (ADPKD) for genotype and risk-stratified classification, temporal assessment of radiomic features for the prediction of kidney function decline, and the analysis of radiomic-based differences from magnetic resonance fingerprinting (MRF)-acquired T1 and T2 maps between a healthy control and an ADPKD cohort.

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oai:uchicago.tind.io:12340

UChicago Information

Division(s)
Biological Sciences Division, Pritzker School of Medicine
Department(s)
Medical Physics