ArticleClinical kidney journal2025
A novel CT-based radiomics approach for kidney function evaluation in ADPKD: a pilot study.
Article in Clinical kidney journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Tc-99m DMSA Radiomics in CKD: Phenotype-Specific Cortical Signatures and a Morphological Predictor of Renal Function Decline.Diagnostics (Basel, Switzerland) · 2026Article
- Can radiomics-based innovations improve the diagnosis of kidney fibrosis in diabetic nephropathy?Clinical kidney journal · 2026Review
- Reliability of radiomic analysis on multiparametric MRI for patients affected by autosomal dominant polycystic kidney disease.Scientific reports · 2025Article
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Authors and funding
13 authors.
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Abstract
Background: Management of autosomal dominant polycystic kidney disease (ADPKD) might take advantage of the use of new tools to predict risk of progression towards end-stage kidney disease (ESKD). The aim of this study is to explore the potential of radiomic features obtained from computed tomography (CT) scans for the prediction of kidney function decline over time of ADPKD patients. Methods: We retrospectively selected a cohort of 58 ADPKD patients who routinely underwent CT scan for total kidney volume (TKV) assessment from February 2020 to March 2021. An expert radiologist generated a region-of-interest segmentation for cystic kidneys from which we extracted 217 radiomic features. In a subgroup of 51 patients with at least three serum creatinine measurements, on the basis of estimated glomerular filtration rate we identified 26 rapid progressors to ESKD (>3 mL/min/1.73 m Results: The most statistically significant radiomic feature ( Conclusions: We developed a model based on the radiomic feature
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