Autosomal dominant polycystic kidney disease (ADPKD) is a prevalent hereditary disorder characterized by the development and growth of fluid-filled cysts, resulting in a decline in kidney function. Beyond total kidney and cyst volume quantification, non-cystic tissue characterization by multi-parametric MRI (mp-MRI) and radiomics holds promise. We conducted a radiomic analysis based on reproducible and informative features extracted from non-cystic tissue on mp-MRI in ADPKD patients. T2-weighted (T2-w), T1-weighted MRI (T1-w), and IntraVoxel Incoherent Motion (IVIM) maps from Diffusion Weighted Imaging (DWI) were considered. The reliability of radiomic features was evaluated using five different segmentation methods. The impact of segmentation variability on radiomic reproducibility was assessed through Intraclass Correlation Coefficients (ICC), and a preliminary correlation analysis with relevant clinical parameters, such as age and eGFR, was also performed. The results from 14 patien...

(2025). Reliability of radiomic analysis on multiparametric MRI for patients affected by autosomal dominant polycystic kidney disease [journal article - articolo]. In SCIENTIFIC REPORTS. Retrieved from https://hdl.handle.net/10446/301387

Reliability of radiomic analysis on multiparametric MRI for patients affected by autosomal dominant polycystic kidney disease

Lanzarone, Ettore;Mastropietro, Alfonso;Scalco, Elisa
2025-01-01

Abstract

Autosomal dominant polycystic kidney disease (ADPKD) is a prevalent hereditary disorder characterized by the development and growth of fluid-filled cysts, resulting in a decline in kidney function. Beyond total kidney and cyst volume quantification, non-cystic tissue characterization by multi-parametric MRI (mp-MRI) and radiomics holds promise. We conducted a radiomic analysis based on reproducible and informative features extracted from non-cystic tissue on mp-MRI in ADPKD patients. T2-weighted (T2-w), T1-weighted MRI (T1-w), and IntraVoxel Incoherent Motion (IVIM) maps from Diffusion Weighted Imaging (DWI) were considered. The reliability of radiomic features was evaluated using five different segmentation methods. The impact of segmentation variability on radiomic reproducibility was assessed through Intraclass Correlation Coefficients (ICC), and a preliminary correlation analysis with relevant clinical parameters, such as age and eGFR, was also performed. The results from 14 patien...
articolo
2025
Lussana, Francesca; Lanzarone, Ettore; Villa, Giulia; Mastropietro, Alfonso; Caroli, Anna; Scalco, Elisa
(2025). Reliability of radiomic analysis on multiparametric MRI for patients affected by autosomal dominant polycystic kidney disease [journal article - articolo]. In SCIENTIFIC REPORTS. Retrieved from https://hdl.handle.net/10446/301387
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/301387
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