Evidence map›Paper›PMID 39694884›Full record

ArticleEuropean radiology2025

Amide proton transfer weighted MRI measurements yield consistent and repeatable results in patients with gliomas: a prospective test-retest study.

Irada Pflüger, Aditya Rastogi, Stefano Casagranda, Christos Papageorgakis, Rouven Behnisch, Patrick Liebig, Marcel Prager, Franziska Maria Ippen, Daniel Paech, Wolfgang Wick and 3 more

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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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4 · The record

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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

13 authors.

Irada PflügerDepartment of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
Aditya RastogiDepartment of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
Stefano CasagrandaDepartment of R&D Advanced Applications, Olea Medical, La Ciotat, France.
Christos PapageorgakisDepartment of R&D Advanced Applications, Olea Medical, La Ciotat, France.
Rouven BehnischInstitute of Medical Biometry, University of Heidelberg, Heidelberg, Germany.
Patrick LiebigSiemens Healthcare GmbH, 91052, Erlangen, Germany.
Marcel PragerDepartment of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
Franziska Maria IppenDepartment of Neurology, Heidelberg University Hospital, Heidelberg, Germany.
Daniel PaechDepartment of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Wolfgang WickDepartment of Neurology, Heidelberg University Hospital, Heidelberg, Germany.
Martin BendszusDepartment of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
Gianluca Brugnara *Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.
Philipp Vollmuth *Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany. philipp.vollmuth@dkfz-heidelberg.de.ORCID http://orcid.org/0000-0002-6224-0064

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesChemical exchange saturation transfer (CEST) imaging has emerged as a promising imaging biomarker, but its reliability for clinical practice remains uncertain. This study aimed to investigate the robustness of CEST parameters in healthy volunteers and patients with brain tumours.

methodsA total of n = 52 healthy volunteers and n = 52 patients with histologically confirmed glioma underwent two consecutive 3-T MRI scans separated by a 1-min break. The CEST measurements were reconstructed using two models: with and without fluid suppression and included the evaluation of both amide (amidePTw) and amine (aminePTw) offsets. Mean intensity values in healthy volunteers were compared from volumetric segmentations (VOI) of grey matter, white matter, and the whole brain. Mean intensity values in brain tumour patients were assessed from VOI of the contrast-enhancing, non-enhancing and whole tumour, as well as from the normal-appearing white matter. Test-retest reliability was assessed using ICC and Bland-Altman plots.

resultsThe amidePTw/aminePTw signal intensity distribution was significantly affected by fluid suppression (p < 0.001 for each VOI). Test-retest reliability in healthy volunteers showed fair to excellent agreement (ICC = 0.53-0.74), with the highest signal intensity values observed by amidePTw (ICC = 0.73-0.74). In patients, an excellent agreement of both amidePTw and aminePTw measurements was observed across different tumour regions (ICC = 0.76-0.89), with the highest ICC for contrast-enhancing tumour measurements. Bland-Altman analysis indicated negligible systematic bias and no proportional bias in measurement errors.

conclusionMeasurements from amide/aminePTw imaging obtained from an adequately powered test-retest study yield consistent and reproducible results in glioma patients, as a prerequisite for robust imaging biomarker discovery in neuro-oncology. KEY POINTS: Question The clinical reliability of chemical exchange saturation transfer imaging remains uncertain, necessitating further investigation to establish its robustness as a biomarker in neuro-oncology. Findings This study demonstrates that amide/amine proton transfer imaging provides repeatable, high-agreement measurements in glioma patients, particularly in contrast-enhancing tumour regions. Clinical relevance This test-retest study demonstrates that chemical exchange saturation transfer imaging using two models and assessing amide and amine offsets yield consistent and repeatable results in glioma patients, as a prerequisite for robust imaging biomarker discovery for neuro-oncology studies and clinical practice.

Indexed as

Brain NeoplasmsGliomaMagnetic Resonance ImagingAdultAgedAmidesFemaleHumansMaleMiddle AgedProspective StudiesProtonsReproducibility of ResultsYoung AdultAmidesProtonsAmidesBrain tumoursHealthy volunteersMagnetic resonance imagingReliability

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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.