Evidence map›Paper›PMID 39777739›Full record

ArticleMagnetic resonance in medicine2025

Noninvasive blood-brain barrier integrity mapping in patients with high-grade glioma and metastasis by multi-echo time-encoded arterial spin labeling.

Gabriel Hoffmann, Christine Preibisch, Matthias Günther, Amnah Mahroo, Matthias J P van Osch, Lena Václavů, Marie-Christin Metz, Kirsten Jung, Claus Zimmer, Benedikt Wiestler and 1 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. EJNMMI research · 2025
    Article
  5. Article
  6. 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

11 authors.

Gabriel HoffmannSchool of Medicine and Health, Institute for Diagnostic and Interventional Neuroradiology, Technical University of Munich, Munich, Germany.ORCID 0000-0002-5233-7532
Christine PreibischSchool of Medicine and Health, Institute for Diagnostic and Interventional Neuroradiology, Technical University of Munich, Munich, Germany.
Matthias GüntherFraunhofer Institute for Digital Medicine MEVIS, MR Physics, Bremen, Germany.ORCID 0000-0002-2650-7956
Amnah MahrooFraunhofer Institute for Digital Medicine MEVIS, MR Physics, Bremen, Germany.ORCID 0009-0005-8480-0965
Matthias J P van OschDepartment of Radiology, C.J. Gorter MRI Center, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-7034-8959
Lena VáclavůDepartment of Radiology, C.J. Gorter MRI Center, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-8617-7752
Marie-Christin MetzSchool of Medicine and Health, Institute for Diagnostic and Interventional Neuroradiology, Technical University of Munich, Munich, Germany.
Kirsten JungSchool of Medicine and Health, Institute for Diagnostic and Interventional Neuroradiology, Technical University of Munich, Munich, Germany.
Claus ZimmerSchool of Medicine and Health, Institute for Diagnostic and Interventional Neuroradiology, Technical University of Munich, Munich, Germany.
Benedikt WiestlerSchool of Medicine and Health, Institute for Diagnostic and Interventional Neuroradiology, Technical University of Munich, Munich, Germany.
Stephan KaczmarzSchool of Medicine and Health, Institute for Diagnostic and Interventional Neuroradiology, Technical University of Munich, Munich, Germany.

Funding

Alzheimer Nederland WE.30-2022-04BMBF 01ED2107Canadian Institutes of Health Research (CIHR)Deutsche Forschungsgemeinschaft 395030489Deutsche Forschungsgemeinschaft 547163214Dutch Research Council 20212EU Joint Program for Neurodegenerative Disease Research JPND2020-568-106European Union's Horizon 2020 Research and Innovation Program 825664Evangelisches Studienwerk Villigst Personal Grant to GHMODEM 10510032120006Netherlands Organisation for health Research and DevelopmentPhilipsResearch Council of NorwayResearch Foundation - Flanders (FWO)The Scientific and Technological Research Council of Turkey (TUBITAK) 121N030
6 · The paper itself

Abstract

purposeIn brain tumors, disruption of the blood-brain barrier (BBB) indicates malignancy. Clinical assessment is qualitative; quantitative evaluation is feasible using the K

methodsWe acquired 3T MRI data from 28 patients with intraparenchymal brain tumors (World Health Organization Grade 3 & 4 gliomas [n = 17] or metastases [n = 11]) and 17 age-matched healthy controls. The protocol included multi-echo and single-echo Hadamard-encoded arterial spin labeling, dynamic susceptibility contrast, and conventional clinical imaging. T

resultsT

conclusionT

Indexed as

Blood-Brain BarrierBrain NeoplasmsGliomaMagnetic Resonance ImagingAdultAgedContrast MediaFemaleHumansMaleMiddle AgedSpin LabelsContrast MediaSpin Labelsarterial spin labeling (ASL)blood–brain barrier (BBB)brain tumordynamic susceptibility contrast (DSC)leakagemagnetic resonance imaging (MRI)

Identifiers

PMID39777739
PMCPMC11893035

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.