Evidence map›Paper›PMID 29733378›Full record

ArticleNeuro-oncology2018

Assessing the predictability of IDH mutation and MGMT methylation status in glioma patients using relaxation-compensated multipool CEST MRI at 7.0 T.

Daniel Paech, Johannes Windschuh, Johanna Oberhollenzer, Constantin Dreher, Felix Sahm, Jan-Eric Meissner, Steffen Goerke, Patrick Schuenke, Moritz Zaiss, Sebastian Regnery and 9 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Neuro-oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04233788 (Metabolic Characterization of Space Occupying Lesions of the Brain Using in Vivo MR-), which is not on this map. Cited by 105 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 3 pooled it
6.3field-weighted citation impact, top 2% 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.

NCT04233788 recruitingnot on this mapstarted 2021, after this paper: background citation

Metabolic Characterization of Space Occupying Lesions of the Brain Using in Vivo MR- (Spectroscopic) Imaging at 3 Tesla and 7 Tesla

TypeobservationalSponsorInsel Gruppe AG, University Hospital BernRan2021 to 2025Enrolled55ConditionsBrain Tumor, Glioma, IDH MutationArmsMR-scans using a 3T Prisma and a 7T Terra scanner (Siemens, Erlangen Germany)
3 · Its place in the literature

Who cites it

105 citing papers in PubMed, 3 syntheses or guidelines pooled it, 162 citations in OpenAlex.

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  14. TNMR in biomedicine · 2026
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45 more citing papers are in PubMed but not listed here.

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

19 authors at 3 institutions in 2 countries.

Daniel PaechGerman Cancer Research Center, Division of Radiology, Heidelberg, Germany.
Johannes WindschuhGerman Cancer Research Center, Division of Medical Physics in Radiology, Heidelberg, Germany.
Johanna OberhollenzerGerman Cancer Research Center, Division of Radiology, Heidelberg, Germany.
Constantin DreherGerman Cancer Research Center, Division of Radiology, Heidelberg, Germany.
Felix SahmDepartment of Neuropathology, University Hospital Heidelberg, Heidelberg, Germany.
Jan-Eric MeissnerGerman Cancer Research Center, Division of Medical Physics in Radiology, Heidelberg, Germany.
Steffen GoerkeGerman Cancer Research Center, Division of Medical Physics in Radiology, Heidelberg, Germany.
Patrick SchuenkeGerman Cancer Research Center, Division of Medical Physics in Radiology, Heidelberg, Germany.
Moritz ZaissMax-Planck-Institute for Biological Cybernetics, Magnetic Resonance Center, Tuebingen, Germany.
Sebastian RegneryDepartment of Radiooncology, University Hospital Heidelberg, Heidelberg, Germany.
Sebastian BickelhauptGerman Cancer Research Center, Division of Radiology, Heidelberg, Germany.
Philipp BäumerGerman Cancer Research Center, Division of Radiology, Heidelberg, Germany.
Martin BendszusDepartment of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany.
Wolfgang WickDepartment of Neurology, University Hospital Heidelberg, Heidelberg, Germany.
Andreas UnterbergDepartment of Neurosurgery, University Hospital Heidelberg, Heidelberg, Germany.
Peter Bachert
Mark Edward LaddGerman Cancer Research Center, Division of Medical Physics in Radiology, Heidelberg, Germany.
Heinz-Peter SchlemmerGerman Cancer Research Center, Division of Radiology, Heidelberg, Germany.
Alexander RadbruchGerman Cancer Research Center, Division of Radiology, Heidelberg, Germany.
German Cancer Research Center · DEHeidelberg University · DEMax Planck Institute for Biological Cybernetics · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early identification of prognostic superior characteristics in glioma patients such as isocitrate dehydrogenase (IDH) mutation and O6-methylguanine-DNA-methyltransferase (MGMT) promoter methylation status is of great clinical importance. The study purpose was to investigate the non-invasive predictability of IDH mutation status, MGMT promoter methylation, and differentiation of low-grade versus high-grade glioma (LGG vs HGG) in newly diagnosed patients employing relaxation-compensated multipool chemical exchange saturation transfer (CEST) MRI at 7.0 Tesla. Methods: Thirty-one patients with newly diagnosed glioma were included in this prospective study. CEST MRI was performed at a 7T whole-body scanner. Nuclear Overhauser effect (NOE) and isolated amide proton transfer (APT; downfield NOE-suppressed APT = dns-APT) CEST signals (mean value and 90th signal percentile) were quantitatively investigated in the whole tumor area with regard to predictability of IDH mutation, MGMT promoter methylation status, and differentiation of LGG versus HGG. Statistics were performed using receiver operating characteristic (ROC) and area under the curve (AUC) analysis. Results were compared with advanced MRI methods (apparent diffusion coefficient and relative cerebral blood volume ROC/AUC analysis) obtained at 3T. Results: dns-APT CEST yielded highest AUCs in IDH mutation status prediction (dns-APTmean = 91.84%, P < 0.01; dns-APT90 = 97.96%, P < 0.001). Furthermore, dns-APT metrics enabled significant differentiation of LGG versus HGG (AUC: dns-APTmean = 0.78, P < 0.05; dns-APT90 = 0.83, P < 0.05). There was no significant difference regarding MGMT promoter methylation status at any contrast (P > 0.05). Conclusions: Relaxation-compensated multipool CEST MRI, particularly dns-APT imaging, enabled prediction of IDH mutation status and differentiation of LGG versus HGG and should therefore be considered as a non-invasive MR biomarker in the diagnostic workup.

Indexed as

DNA MethylationMutationAdultAgedBrain NeoplasmsDiffusion Magnetic Resonance ImagingDNA Modification MethylasesDNA Repair EnzymesFemaleFollow-Up StudiesGliomaHumansIsocitrate DehydrogenaseMaleMiddle AgedNeoplasm GradingDNA Modification MethylasesDNA Repair EnzymesIDH1 protein, humanIDH2 protein, humanIsocitrate DehydrogenaseMGMT protein, humanTumor Suppressor Proteins

Identifiers

PMID29733378
PMCPMC6231210
OpenAlexW2799619016

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.