Evidence map›Paper›PMID 41904580›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2026

Assessment of multimodal CEST, perfusion and diffusion MRI for predicting clinical outcome of patients with diffuse glioma following surgery at baseline before radiotherapy.

Nikolaus von Knebel Doeberitz, Petr Menshchikov, Florian Kroh, Laila König, Svenja Graß, Cora Bauspieß, Philip S Boyd, Sebastian Regnery, Thomas Zeyen, Stephen Schaumann and 11 more

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

21 authors.

Nikolaus von Knebel DoeberitzDivision of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID http://orcid.org/0000-0002-8453-3220
Petr MenshchikovDivision of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Florian KrohDivision of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Laila KönigDepartment of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
Svenja GraßDivision of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Cora BauspießDivision of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Philip S BoydDivision of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Sebastian RegneryDepartment of Radiology, Brigham Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.
Thomas ZeyenDepartment of Neurooncology, Center for Neurology and Center for integrated Oncology (CIO) ABCD, University Hospital Bonn, Bonn, Germany.
Stephen SchaumannDepartment of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Ralf FlocaDepartment of Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Daniel HassonDepartment of Radiology, Clínica Alemana-Universidad del Desarrollo, Santiago, Chile.
Moritz SchererFaculty of Medicine, University of Heidelberg, Heidelberg, Germany.
Martin BendszusFaculty of Medicine, University of Heidelberg, Heidelberg, Germany.
Wolfgang WickFaculty of Medicine, University of Heidelberg, Heidelberg, Germany.
Jürgen DebusDepartment of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
Peter BachertDivision of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Mark E LaddDivision of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Heinz-Peter SchlemmerDivision of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Andreas KorzowskiDivision of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Daniel PaechDivision of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. dpaech@bwh.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo assess the predictive value of different chemical exchange saturation transfer (CEST) contrasts, i.e. of the amide proton transfer (APT), relayed nuclear Overhauser effect (rNOE), and semi-solid magnetization transfer (ssMT), as well as of clinical routine perfusion- and diffusion-weighted MRI, in terms of treatment outcome in patients with glioma following surgery at baseline before radiotherapy at 3 T. MATERIALS AND

methodsFrom September 2018 to December 2022, 78 study participants (median age 62 years, 27/78 female) prospectively underwent CEST, diffusion, and perfusion imaging. CEST contrasts were reconstructed for the APT-weighted magnetization transfer ratio asymmetry (APTwasym), relaxation-compensated CEST metrics (MTRRexAPT, MTRRexNOE, MTRRexMT), and MTconst. Contrast-enhancing and whole tumor volumes were segmented on T2w-FLAIR and T1w images. Associations of mean contrast values with therapy response were tested using ROC analyses, while relationships with progression-free survival (PFS, median 6.04 months) and overall survival (OS, median 11.58 months), as well as added benefit compared to nCBV and ADC maps, were assessed using dichotomized Cox regression models.

resultsMTRRexAPT, MTRRexNOE, and MTRRexMT were associated with therapy response (AUC = 0.82, 0.81, 0.68; all p ≤ 0.03), PFS (HR = 2.92, 0.37, 3.40; all p ≤ 0.02), and OS (HR = 2.76, 0.63, 8.09; all p ≤ 0.05). MTconst was correlated with OS (HR = 5.52, p < 0.01), while APTwasym was linked to therapy response (AUC = 0.71, p = 0.02). MTRRexMT (χ² = 13.71, p < 0.01) and MTconst (χ² = 5.62, p = 0.018) provided each additional value to nCBV for OS prediction.

conclusionRelaxation-compensated CEST imaging of the APT, rNOE, and ssMT, as well as conventional APTwasym showed ability to predict treatment outcome, whilst ssMT-weighted imaging provided added benefit for OS prediction in patients with diffuse glioma following surgery at baseline before radiotherapy at 3 T.

Indexed as

Brain NeoplasmsDiffusion Magnetic Resonance ImagingGliomaAdultAgedFemaleHumansMaleMiddle AgedMultimodal ImagingPerfusion Magnetic Resonance ImagingProspective StudiesTreatment OutcomeAmide proton transferAPTwChemical exchange saturation transferDiffuse gliomaLorentzian fitOutcome predictionRadiotherapyRelaxation compensationRelayed nuclear Overhauser effectSemi-solid magnetization transfer

Identifiers

PMID41904580
PMCPMC13151286

What Socratic holds

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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 Socratic graph.