Evidence map›Paper›PMID 38066225›Full record

ArticleEuropean radiology experimental2023

Improved postprocessing of dynamic glucose-enhanced CEST MRI for imaging brain metastases at 3 T.

Yulun Wu, Sophie H A E Derks, Tobias C Wood, Erik de Blois, Astrid A M van der Veldt, Marion Smits, Esther A H Warnert

Open access · goldAbstract readComment
In one paragraph

Article in European radiology experimental, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.5field-weighted citation impact, top 43% of its field
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

8 citing papers in PubMed, 5 citations in OpenAlex.

  1. Dynamic glucose-enhanced MRI in brain tumors.Magma (New York, N.Y.) · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Yulun Wu *Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands.
Sophie H A E Derks *Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands.
Tobias C WoodDepartment of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Erik de BloisDepartment of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands.
Astrid A M van der VeldtDepartment of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands.
Marion SmitsDepartment of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands.
Esther A H WarnertDepartment of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands. e.warnert@erasmusmc.nl.ORCID 0000-0002-3196-1416
Erasmus MC · NLKing's College London · GB

Funding

Brain Tumour Charity GN-000540Nederlandse Organisatie voor Wetenschappelijk Onderzoek 91619121
6 · The paper itself

Abstract

backgroundDynamic glucose-enhanced (DGE) chemical exchange saturation transfer (CEST) has the potential to characterize glucose metabolism in brain metastases. Since the effect size of DGE CEST is small at 3 T (< 1%), measurements of signal-to-noise ratios are challenging. To improve DGE detection, we developed an acquisition pipeline and extended image analysis for DGE CEST on a hybrid 3-T positron emission tomography/magnetic resonance imaging system.

methodsThis cross-sectional study was conducted after local ethical approval. Static Z-spectra (from -100 to 100 ppm) were acquired to compare the use of 1.2 versus 2 ppm to calculate static glucose-enhanced (glucoCEST) maps in 10 healthy volunteers before and after glucose infusion. Dynamic CEST images were acquired during glucose infusion. Image analysis was optimized using motion correction, dynamic B

resultsGlucoCEST was strongest in healthy tissues at 2 ppm. Correcting for motion, B

conclusionWe demonstrated the feasibility of DGE CEST with our developed acquisition and analysis pipeline at 3 T in patients with brain metastases. This work enables a direct comparison of DGE CEST to 18F-fluoro-deoxy-D-glucose positron emission tomography of glucose metabolism in patients with brain metastases. RELEVANCE STATEMENT: Contrast between brain metastasis and healthy brain tissue in DGE CEST MR images is improved by including principle component analysis and dynamic magnetic field correction during postprocessing. This approach enables the detection of increased DGE CEST signal in brain metastasis, if present. KEY POINTS: • Despite the low signal-to-noise ratio, dynamic glucose-enhanced CEST MRI is feasible at 3 T. • Principal component analyses and dynamic magnetic field correction improve DGE CEST MRI. • DGE CEST MRI does not consequently show changes in brain metastases compared to healthy brain tissue. • Increased DGE CEST MRI in brain metastases, if present, shows overlap with contrast enhancement on T1-weighted images.

Indexed as

Brain NeoplasmsGlucoseCross-Sectional StudiesHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingGlucoseBrain neoplasmsGlucoseMagnetic resonance imagingPositron-emission tomographyPrincipal component analysis

Identifiers

PMID38066225
PMCPMC10709288
OpenAlexW4389474500

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Registered trials

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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.