Evidence map›Paper›PMID 37672058›Full record

ArticleEuropean radiology2024

Detection of recurrent high-grade glioma using microstructure characteristics of distinct metabolic compartments in a multimodal and integrative 18F-FET PET/fast-DKI approach.

Johannes Lohmeier, Helena Radbruch, Winfried Brenner, Bernd Hamm, Brian Hansen, Anna Tietze, Marcus R Makowski

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2024. 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
1.7field-weighted citation impact, top 14% 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.

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, 6 citations in OpenAlex.

  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

7 authors at 3 institutions in 2 countries.

Johannes LohmeierDepartment of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany. johannes.lohmeier@charite.de.ORCID http://orcid.org/0000-0002-8927-2453
Helena RadbruchDepartment of Neuropathology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Winfried BrennerDepartment of Nuclear Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Augustenburger Platz 1, 13353, Berlin, Germany.
Bernd HammDepartment of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Brian HansenDepartment of Clinical Medicine, Center of Functionally Integrative Neuroscience (CFIN), Aarhus University, Universitetsbyen 3, 8000, Aarhus C, Denmark.
Anna Tietze *Institute of Neuroradiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität Zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Marcus R Makowski *Department of Radiology, Technical University Munich, Ismaninger Str. 22, 81675, München, Germany.
Humboldt-Universität zu Berlin · DEAarhus University · DKTechnical University of Munich · DE

Funding

Deutsche Forschungsgemeinschaft INST 335/543-1 FUGG 2015Deutsche Forschungsgemeinschaft SFB1315Deutsche Forschungsgemeinschaft SFB 1340/1 2018Deutsche Forschungsgemeinschaft SFB295RETUNE
6 · The paper itself

Abstract

objectivesDifferentiation between high-grade glioma (HGG) and post-treatment-related effects (PTRE) is challenging, but advanced imaging techniques were shown to provide benefit. We aim to investigate microstructure characteristics of metabolic compartments identified from amino acid PET and to evaluate the diagnostic potential of this multimodal and integrative O-(2-

methodsFifty-nine participants with neuropathologically confirmed recurrent HGG (n = 39) or PTRE (n = 20) were investigated using static

resultsCompared to PTRE, recurrent HGG presented increased

conclusionDetection of glioma recurrence benefits from a multimodal and integrative PET/DKI approach, which presented significant diagnostic advantage to the assessment based on PET alone. CLINICAL RELEVANCE STATEMENT: A multimodal and integrative KEY POINTS: • Multimodal PET/MRI with integrative analysis of

Indexed as

Brain NeoplasmsGliomaChronic DiseaseHumansMagnetic Resonance ImagingPositron-Emission TomographyRecurrenceTumor MicroenvironmentTyrosineTyrosineDiffusion magnetic resonance imagingGliomaMetabolismMultimodal imagingPositron-emission tomography

Identifiers

PMID37672058
PMCPMC10957712
OpenAlexW4386466743

What OpenQuestion holds

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LicenceCC BY
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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.