Evidence map›Paper›PMID 38396261›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2024

Enhancing predictability of IDH mutation status in glioma patients at initial diagnosis: a comparative analysis of radiomics from MRI, [

Lena Kaiser, S Quach, A J Zounek, B Wiestler, A Zatcepin, A Holzgreve, A Bollenbacher, L M Bartos, V C Ruf, G Böning and 11 more

Registry-linked trialOpen access · hybridAbstract readComparative Study
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07405372 (Construction and Application of an IDH Mutation-Targeted PET/MRI Imaging Framework for Precision Diagnosis of Gliomas), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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.

NCT07405372 recruitingnot on this mapstarted 2025, after this paper: background citation

Construction and Application of an IDH Mutation-Targeted PET/MRI Imaging Framework for Precision Diagnosis of Gliomas

TypeobservationalSponsorDaping Hospital and the Research Institute of Surgery of the Third Military Medical UniversityRan2025 to 2027Enrolled10ConditionsGliomaArmsTargeted IDH PET/MRI
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Applications of artificial intelligence in nuclear medicine.Zeitschrift fur medizinische Physik · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Pre-operative dual-time-point [European journal of nuclear medicine and molecular imaging · 2025
    Article
  11. Review
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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 at 7 institutions in 1 country.

Lena KaiserDepartment of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. Lena.Kaiser@med.uni-muenchen.de.ORCID 0000-0002-2084-5858
S QuachDepartment of Neurosurgery, University Hospital, LMU Munich, 81377, Munich, Germany.
A J ZounekDepartment of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
B WiestlerDepartment of Neuroradiology, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
A ZatcepinDepartment of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
A HolzgreveDepartment of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
A BollenbacherDepartment of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
L M BartosDepartment of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
V C RufCenter for Neuropathology and Prion Research, Faculty of Medicine, LMU Munich, Munich, Germany.
G BöningDepartment of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
N ThonDepartment of Neurosurgery, University Hospital, LMU Munich, 81377, Munich, Germany.
J HermsCenter for Neuropathology and Prion Research, Faculty of Medicine, LMU Munich, Munich, Germany.
M J RiemenschneiderDepartment of Neuropathology, University Hospital Regensburg, 93053, Regensburg, Germany.
S StöckleinDepartment of Radiology, University Hospital, LMU Munich, 81377, Munich, Germany.
M BrendelDepartment of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
R RupprechtDepartment of Psychiatry and Psychotherapy, University of Regensburg, 93053, Regensburg, Germany.
J C TonnDepartment of Neurosurgery, University Hospital, LMU Munich, 81377, Munich, Germany.
P BartensteinDepartment of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
L von BaumgartenDepartment of Neurosurgery, University Hospital, LMU Munich, 81377, Munich, Germany.
S ZieglerDepartment of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
N L AlbertDepartment of Nuclear Medicine, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
LMU Klinikum · DEGerman Cancer Research Center · DEGerman Center for Neurodegenerative Diseases · DELudwig-Maximilians-Universität München · DETUM Klinikum · DEUniversity Hospital Regensburg · DEUniversity of Regensburg · DE

Funding

Deutsche Forschungsgemeinschaft 403161218Deutsche Forschungsgemeinschaft FOR 2858 project number 421887978Deutsche Forschungsgemeinschaft FOR 2858 project number 422188432
6 · The paper itself

Abstract

purposeAccording to the World Health Organization classification for tumors of the central nervous system, mutation status of the isocitrate dehydrogenase (IDH) genes has become a major diagnostic discriminator for gliomas. Therefore, imaging-based prediction of IDH mutation status is of high interest for individual patient management. We compared and evaluated the diagnostic value of radiomics derived from dual positron emission tomography (PET) and magnetic resonance imaging (MRI) data to predict the IDH mutation status non-invasively.

methodsEighty-seven glioma patients at initial diagnosis who underwent PET targeting the translocator protein (TSPO) using [

resultsTBR

conclusionThe findings suggest that incorporating TBR

Indexed as

GliomaIsocitrate DehydrogenaseMagnetic Resonance ImagingMutationPositron-Emission TomographyReceptors, GABAAdultAgedBrain NeoplasmsFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedRadiomicsTyrosine(18F)fluoroethyltyrosineIsocitrate DehydrogenaseReceptors, GABATSPO protein, humanTyrosineBraTSFET PETGliomaIDH mutation statusRadiomicsTSPO PET

Identifiers

PMID38396261
PMCPMC11178656
OpenAlexW4392132981

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.