Evidence map›Paper›PMID 33772859›Full record

ArticleMagnetic resonance in medicine2021

Whole-brain amide CEST imaging at 3T with a steady-state radial MRI acquisition.

Ran Sui, Lin Chen, Yuguo Li, Jianpan Huang, Kannie W Y Chan, Xiang Xu, Peter C M van Zijl, Jiadi Xu

Abstract read
In one paragraph

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 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed.

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  11. MRI of GlycoNOE in the human liver using GraspNOE-Dixon.Magnetic resonance in medicine · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ran SuiF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, Maryland, USA.
Lin ChenF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, Maryland, USA.ORCID 0000-0003-0108-4309
Yuguo LiF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, Maryland, USA.
Jianpan HuangDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, People's Republic of China.ORCID 0000-0002-4453-8764
Kannie W Y ChanRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0002-7315-1550
Xiang XuRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Peter C M van ZijlF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, Maryland, USA.
Jiadi XuF.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, Maryland, USA.ORCID 0000-0001-9698-5622

Funding

TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
MRI based phosphocreatine mapping method to assess patients with peripheral arterial disease.R01HL149742 · NHLBI · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Michael Schaer, JIadi Xu · 2020 to 2026
$2.5M
Huntington's Disease biomarkers and therapeuticsR01NS082338 · NINDS · JOHNS HOPKINS UNIVERSITY · PI DUAN, WENZHEN · 2013 to 2017
$2.0M
State of the Art 3T Research ScannerS10OD021648 · OD · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2016 to 2016
$2.0M
Development and Translation of D-glucose as an MRI Contrast Agent for Multiple SclerosisR00EB026312 · NIBIB · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI XU, XIANG · 2020 to 2022
$747k
Imaging brain glucose uptake by onVDMP MRI in Huntington's DiseaseR21NS118079 · NINDS · JOHNS HOPKINS UNIVERSITY · PI DUAN, WENZHEN, XU, JIADI · 2020 to 2020
$465k
Impaired Cerebral Glucose Uptake in the Brain as an MRI Marker for Alzheimer' s DiseaseR21AG065794 · NIA · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI XU, JIADI · 2020 to 2020
$446k
NHLBI NIH HHS R01 HL149742NIA NIH HHS R21 AG065794NIBIB NIH HHS P41 EB015909NIBIB NIH HHS R00 EB026312NIH HHS S10 OD021648NINDS NIH HHS R01 NS082338NINDS NIH HHS R21 NS118079
6 · The paper itself

Abstract

purposeTo develop a steady-state saturation with radial readout chemical exchange saturation transfer (starCEST) for acquiring CEST images at 3 Tesla (T). The polynomial Lorentzian line-shape fitting approach was further developed for extracting amideCEST intensities at this field.

methodStarCEST MRI using periodically rotated overlapping parallel lines with enhanced reconstruction-based spatial sampling was implemented to acquire Z-spectra that are robust to brain motion. Multi-linear singular value decomposition postprocessing was applied to enhance the CEST SNR. The egg white phantom studies were performed at 3T to reveal the contributions to the 3.5 ppm CEST signal. Based on the phantom validation, the amideCEST peak was quantified using the polynomial Lorentzian line-shape fitting, which exploits the inverse relationship between Z-spectral intensity and the longitudinal relaxation rate in the rotating frame. The 3D turbo spin echo CEST was also performed to compare with the starCEST method.

resultsThe amideCEST peak showed a negligible peak B

conclusionRapid multi-slice amideCEST mapping can be achieved by the starCEST method (< 5 min) at 3T by combing with the polynomial Lorentzian line-shape fitting method.

Indexed as

AmidesMagnetic Resonance ImagingBrainGray MatterPhantoms, ImagingAmideschemical exhange saturation transfer (CEST)magnetization transfer contrast (MTC)MultiVaneperiodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER)steady-state pulsed CEST/MTCsteady-state radial

Identifiers

PMID33772859
PMCPMC8076068

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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.