Evidence map›Paper›PMID 41230757›Full record

ArticleNMR in biomedicine2025

CEST Contrasts Exhibit Significant Regional Variations in the Human Brain at 3 T.

Florian Kroh, Philip S Boyd, Svenja Graß, Nikolaus von Knebel Doeberitz, Heinz-Peter Schlemmer, Mark E Ladd, Daniel Paech, Andreas Korzowski

Abstract read
In one paragraph

Article in NMR in biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Florian KrohDivision of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0000-0001-7387-3206
Philip S BoydDivision of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0000-0002-5914-2535
Svenja GraßDivision of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Nikolaus von Knebel DoeberitzDivision of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID https://orcid.org/0000-0002-8453-3220
Heinz-Peter SchlemmerDivision of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Mark E LaddDivision of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Daniel PaechDepartment of Radiology, Brigham and Woman's Hospital, Harvard Medical School, Boston, USA.ORCID https://orcid.org/0000-0001-5755-6833
Andreas KorzowskiDivision of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Funding

Deutsche Forschungsgemeinschaft 445704496
6 · The paper itself

Abstract

Chemical exchange saturation transfer (CEST) MRI is a promising molecular imaging technique with established clinical relevance in neuro-oncology. While CEST contrast differences between gray matter (GM) and white matter (WM) are documented, brain region-specific contrast variations remain underexplored. This study investigates the regional variability of CEST contrasts in healthy brains to provide a baseline reference, which could enhance the detection of subtle pathological changes in clinical settings. Ten healthy volunteers (five female, mean age 25 ± 3.1 years) underwent 3D CEST imaging on a 3-T Siemens Prisma scanner. Using a custom segmentation tool, GM and WM regions of interest (ROIs) were automatically selected in the frontal, parietotemporal, and occipital regions and the calcarine sulcus to analyze regional contrast changes for the relaxation-compensated MTR

Indexed as

BrainMagnetic Resonance ImagingAdultFemaleGray MatterHumansImaging, Three-DimensionalMaleWhite MatterYoung AdultAPTbrain atlasCESTgray matterrNOEssMTwhite matter

Identifiers

PMID41230757
PMCPMC12613240

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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.