ArticleMagnetic resonance in medicine2021
Delayed urea differential enhancement CEST (dudeCEST)-MRI with T
Article in Magnetic resonance in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
The trial behind it
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Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Evaluation of renal masses with CEST MRI: Protocol optimization and preliminary results.Magnetic resonance in medicine · 2025Article
- Chemical exchange saturation transfer magnetic resonance imaging of the kidney: applications and challenges.Abdominal radiology (New York) · 2025Review
- Novel non‑metal‑based contrast agents for MR imaging: Emerging approaches and clinical perspectives (Review).International journal of oncology · 2025Review
- Noninvasively differentiating acute and chronic nephropathies via multiparametric urea-CEST, nuclear Overhauser enhancement-CEST, and quantitative magnetization transfer MRI.Magnetic resonance in medicine · 2023Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
purposeWe demonstrate a method of delayed urea differential enhancement CEST for probing urea recycling action of the kidney using expanded multi-pool Lorentzian fitting and apparent exchange-dependent relaxation compensation.
methodsT
resultsApparent exchange-dependent relaxation corrected for variable T
conclusionDelayed urea enhancement following infusion can provide insight into renal urea handling. In addition, changes in CEST contrast at 1.0 ppm following saline infusion may provide insight into renal function.
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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 OpenQuestion graph.