ArticleNMR in biomedicine2017
Chemical exchange rotation transfer imaging of intermediate-exchanging amines at 2 ppm.
Article in NMR in biomedicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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
31 citing papers in PubMed, 49 citations in OpenAlex.
- Denoising Low-Power CEST Imaging Using a Deep Learning Approach With a Dual-Power Feature Preparation Strategy.Magnetic resonance in medicine · 2026Article
- The Environmental Impact of Medical Imaging Agents and the Roadmap to Sustainable Medical Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Exchange-selective excitation pulses for dynamic magnetic resonance.Science advances · 2025Article
- Physics-guided multi-dimensional scan optimization and quasi-steady-state reconstruction to enhance CEST MRI sensitivity efficiency and quantification accuracy.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2025Article
- A rapid method for phosphocreatine-weighted imaging in muscle using double saturation power-chemical exchange saturation transfer.NMR in biomedicine · 2024Article
- Specific and rapid guanidinium CEST imaging using double saturation power and QUASS analysis in a rodent model of global ischemia.Magnetic resonance in medicine · 2024Article
- Adjustment of rotation and saturation effects (AROSE) for CEST imaging.Magnetic resonance in medicine · 2024Article
- Validation of the presence of fast exchanging amine CEST effect at low saturation powers and its influence on the quantification of APT.Magnetic resonance in medicine · 2023Article
- Evaluation of contributors to amide proton transfer-weighted imaging and nuclear Overhauser enhancement-weighted imaging contrast in tumors at a high magnetic field.Magnetic resonance in medicine · 2023Article
- Advanced MR Techniques for Preoperative Glioma Characterization: Part 2.Journal of magnetic resonance imaging : JMRI · 2023Review
- Detection of tissue pH with quantitative chemical exchange saturation transfer magnetic resonance imaging.NMR in biomedicine · 2023Review
- Radiofrequency labeling strategies in chemical exchange saturation transfer MRI.NMR in biomedicine · 2023Review
- Dual-Peak Lorentzian CEST MRI for antiretroviral drug brain distribution.NeuroImmune pharmacology and therapeutics · 2023Article
- NOE-weighted imaging in tumors using low-duty-cycle 2π-CEST.Magnetic resonance in medicine · 2023Article
- Average saturation efficiency filter ASEF-CEST MRI of stroke rodents.Magnetic resonance in medicine · 2023Article
- High-field ex vivo and in vivo two-dimensional nuclear magnetic resonance spectroscopy in murine brain: Resolving and exploring the molecular environment.NMR in biomedicine · 2023Article
- Harnessing Water to Enhance Quadrupolar NMR Spectroscopy and Imaging.Chemistry (Weinheim an der Bergstrasse, Germany) · 2022Article
- Average saturation efficiency filter (ASEF) for CEST imaging.Magnetic resonance in medicine · 2022Article
- Comparative evaluation of polynomial and Lorentzian lineshape-fitted amine CEST imaging in acute ischemic stroke.Magnetic resonance in medicine · 2022Article
- Low duty cycle pulse trains for exchange rate insensitive chemical exchange saturation transfer MRI.Magnetic resonance in medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Chemical exchange saturation transfer (CEST) imaging of amine protons exchanging at intermediate rates and whose chemical shift is around 2 ppm may provide a means of mapping creatine. However, the quantification of this effect may be compromised by the influence of overlapping CEST signals from fast-exchanging amines and hydroxyls. We aimed to investigate the exchange rate filtering effect of a variation of CEST, named chemical exchange rotation transfer (CERT), as a means of isolating creatine contributions at around 2 ppm from other overlapping signals. Simulations were performed to study the filtering effects of CERT for the selection of transfer effects from protons of specific exchange rates. Control samples containing the main metabolites in brain, bovine serum albumin (BSA) and egg white albumen (EWA) at their physiological concentrations and pH were used to study the ability of CERT to isolate molecules with amines at 2 ppm that exchange at intermediate rates, and corresponding methods were used for in vivo rat brain imaging. Simulations showed that exchange rate filtering can be combined with conventional filtering based on chemical shift. Studies on samples showed that signal contributions from creatine can be separated from those of other metabolites using this combined filter, but contributions from protein amines may still be significant. This exchange filtering can also be used for in vivo imaging. CERT provides more specific quantification of amines at 2 ppm that exchange at intermediate rates compared with conventional CEST imaging.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.