ReviewF1000Research2018
Recent advances in renal imaging.
Review in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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
13 citing papers in PubMed, 35 citations in OpenAlex.
- PCSA-Net: pyramid channel and spatial attention network for multiclass renal disease diagnosis using CT images.Scientific reports · 2026Article
- Quantification of Kidney Inflammation Using Nanobubble-mediated Contrast Enhanced Ultrasound.Nanotheranostics · 2026Article
- Feasibility of High-Resolution Deuterium Metabolic Imaging of the Human Kidney Using Concentric Ring Trajectory Sampling at 7T.NMR in biomedicine · 2025Article
- Implantable bioelectronics and wearable sensors for kidney health and disease.Nature reviews. Nephrology · 2025Review
- Radiology of fibrosis part III: genitourinary system.Journal of translational medicine · 2024Review
- Review
- Fibrosis imaging with multiparametric proton and sodium MRI in pig injury models.NMR in biomedicine · 2023Article
- Shear wave elastography in early diabetic kidney disease.Revista da Associacao Medica Brasileira (1992) · 2022Article
- Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function.Sensors (Basel, Switzerland) · 2021Article
- Ten things to know about ten imaging studies: A preventive cardiology perspective ("ASPC top ten imaging").American journal of preventive cardiology · 2021Review
- Sex effects in pyelonephritis.Pediatric nephrology (Berlin, Germany) · 2021Review
- Evolving Medical Imaging Techniques for the Assessment of Delayed Graft Function: A Narrative Review.Canadian journal of kidney health and disease · 2021Review
- Renal statistical map for positron emission tomography with [O-15] water.American journal of nuclear medicine and molecular imaging · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Kidney diseases can be caused by a wide range of genetic, hemodynamic, toxic, infectious, and autoimmune factors. The diagnosis of kidney disease usually involves the biochemical analysis of serum and blood, but these tests are often insufficiently sensitive or specific to make a definitive diagnosis. Although radiologic imaging currently has a limited role in the evaluation of most kidney diseases, several new imaging methods hold great promise for improving our ability to non-invasively detect structural, functional, and molecular changes within the kidney. New methods, such as dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and blood oxygen level-dependent (BOLD) MRI, allow functional imaging of the kidney. The use of novel contrast agents, such as microbubbles and nanoparticles, allows the detection of specific molecules in the kidney. These methods could greatly advance our ability to diagnose disease and also to safely monitor patients over time. This could improve the care of individual patients, and it could also facilitate the evaluation of new treatment strategies.
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.