Published June 2024
| Version v1
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MRI Radiomics for Imaging Genomics, Risk Classification, and Prediction of Disease Progression in Autosomal Dominant Polycystic Kidney Disease
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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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Kremer_uchicago_0330D_17364.pdf
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- oai:uchicago.tind.io:12340