ReviewKidney international2021
Basic principles and new advances in kidney imaging.
Review in Kidney international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.
- A European Renal Association (ERA) synopsis for nephrology practice of the 2023 European Society of Hypertension (ESH) Guidelines for the Management of Arterial Hypertension.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024Guideline
- Diagnostic Performance of [Diagnostics (Basel, Switzerland) · 2026Article
- Integrating kidney imaging for risk prediction, therapeutic monitoring, and prognostication across the kidney disease spectrum: a review of emerging evidence.Clinical kidney journal · 2026Review
- Leveraging CT-derived chronic imaging signatures for acute kidney injury evaluation.Scientific reports · 2026Article
- Contrast-sparing CT using renal-clearable gold nanoclusters for early spatial mapping of renal dysfunction.Science advances · 2026Article
- 3D Adversarial Segmentation of Kidney-Transplant Across Multiple MRI Sequences Using Probabilistic and Anatomical Priors.Diagnostics (Basel, Switzerland) · 2026Article
- Preoperative assessment of split renal function in patients with renal cell carcinoma by APTw driven multiparameter MRI.BMC medical imaging · 2026Article
- The global epidemiology of acute kidney injury: challenges and opportunities.Nature reviews. Nephrology · 2026Review
- A rat model of Immunologic and hypertensive kidney injury.Scientific reports · 2026Article
- Radiopharmaceuticals in Renal Imaging: A Comprehensive Review of Current Applications and Future Prospects.ACS omega · 2026Review
- EBDE clearing: A strategy for simultaneous 3D visualization and quantitative analysis of both renal arteries and glomeruli.Theranostics · 2026Article
- AutoGlom: software tool for segmentation and analysis of magnetic resonance images of the kidney.American journal of physiology. Renal physiology · 2026Article
- Non-invasive assessment techniques for renal fibrosis: advances and perspectives.Renal failure · 2025Review
- Bibliometric insights into systemic sclerosis with renal involvement: trends, contributions, and future directions.Renal failure · 2025Article
- Imaging insights in veno-venous and veno-arterial extracorporeal membrane oxygenation (ECMO): CT protocols, underlying pathophysiology, and main complications.Insights into imaging · 2025Article
- Feasibility of High-Resolution Deuterium Metabolic Imaging of the Human Kidney Using Concentric Ring Trajectory Sampling at 7T.NMR in biomedicine · 2025Article
- A framework of biomarkers for adipose tissue aging: a consensus statement by the Aging Biomarker Consortium.Life medicine · 2025Article
- Developing a CT radiomics-based model for assessing split renal function using machine learning.Japanese journal of radiology · 2025Article
- Pilot Study of Using Machine Learning to Detect Atherosclerotic Renal Artery Stenosis From Spectral Doppler Waveforms.Kidney international reports · 2025Article
- Recovering Image Quality in Low-Dose Pediatric Renal Scintigraphy Using Deep Learning.Journal of imaging · 2025Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
Abstract
Over the past few years, clinical renal imaging has seen great advances, allowing assessments of kidney structure and morphology, perfusion, function and metabolism, and oxygenation, as well as microstructure and the interstitium. Medical imaging is becoming increasingly important in the evaluation of kidney physiology and pathophysiology, showing promise in management of patients with renal disease, in particular with regard to diagnosis, classification, and prediction of disease development and progression, monitoring response to therapy, detection of drug toxicity, and patient selection for clinical trials. A variety of imaging modalities, ranging from routine to advanced tools, are currently available to probe the kidney both spatially and temporally, particularly ultrasonography, computed tomography, positron emission tomography, renal scintigraphy, and multiparametric magnetic resonance imaging. Given that the range is broad and varied, kidney imaging techniques should be chosen based on the clinical question and the specific underlying pathologic mechanism, taking into account contraindications and possible adverse effects. Integration of various modalities providing complementary information will likely provide the greatest insight into renal pathophysiology. This review aims to highlight major recent advances in key tools that are currently available or potentially relevant for clinical kidney imaging, with a focus on non-oncological applications. The review also outlines the context of use, limitations, and advantages of various techniques, and highlights gaps to be filled with future development and clinical adoption.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.