ReviewClinical kidney journal2026
Integrating kidney imaging for risk prediction, therapeutic monitoring, and prognostication across the kidney disease spectrum: a review of emerging evidence.
Review in Clinical kidney journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Kidney imaging advances are transforming the field of nephrology by allowing non-invasive examination of renal structure, function, and pathology. Traditional measures such as albuminuria and estimated glomerular filtration rate (eGFR) are only partially effective in identifying early or regionally variable kidney damage. As an example, imaging identifies chronic kidney disease (CKD) in autosomal dominant polycystic kidney disease (ADPKD) decades earlier than eGFR or albuminuria, addressing the "blind spot" in CKD, and providing a criterion to start early therapy. Currently, quantitative imaging techniques such as advanced ultrasound (Doppler sonography, photoacoustic imaging [PAI], contrast-enhanced ultrasound [CEUS], and ultrasound-based elastography), multiparametric MRI, and some CT methods provide insights into fibrosis, lipid infiltration, oxygenation, and microvascular integrity. Imaging biomarkers, including cortical
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