Evidence map›Paper›PMID 40699301›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

Validation of SUV thresholds in [¹⁸F]SiTATE PET/CT for accurate meningioma segmentation.

Nabeel Mansour, Julian Joram, Freba Grawe, Anna Hinterberger, Johannes Rübenthaler, Konstantin Klambauer, Wolfgang G Kunz, Michael Winkelmann, Clemens C Cyran, Jens Ricke and 12 more

Abstract readValidation Study
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Correlation of [EJNMMI research · 2026
    Article
  2. Observational
  3. Article
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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

22 authors.

Nabeel MansourDepartment of Radiology, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. Nabeel.Mansour@med.uni-muenchen.de.ORCID 0000-0002-3467-1916
Julian JoramDepartment of Radiology, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Freba GraweDKFZ Hector Cancer Institute at the University Medical Center Mannheim, 69120, Heidelberg, Germany.
Anna HinterbergerDKFZ Hector Cancer Institute at the University Medical Center Mannheim, 69120, Heidelberg, Germany.
Johannes RübenthalerDepartment of Radiology, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Konstantin KlambauerDepartment of Radiology, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Wolfgang G KunzDepartment of Radiology, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Michael WinkelmannDepartment of Radiology, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Clemens C CyranDepartment of Radiology, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Jens RickeDepartment of Radiology, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Osman ÖcalDepartment of Radiology, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Marcus UnterrainerDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Klaus JurkschatFakultät für Chemie und Chemische Biologie, Technische Universität Dortmund, Dortmund, Germany.
Carmen WänglerBiomedical Chemistry, Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim of Heidelberg University, Mannheim, Germany.
Björn WänglerMolecular Imaging and Radiochemistry, Department of Clinical Radiology and Nuclear Medicine, Medical Faculty Mannheim of Heidelberg University, Mannheim, Germany.
Ralf SchirrmacherDepartment of Oncology, Division of Oncological Imaging, University of Alberta, Edmonton, AB, Canada.
Alexander NitschmannDepartment of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
Tobias GreveDepartment of Neurosurgery, LMU University Hospital, LMU Munich, Munich, Germany.
Gabriel SheikhDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Adrien HolzgreveDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Nathalie L AlbertDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Munich, Germany.
Matthias P FabritiusDepartment of Radiology, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSomatostatin receptor (SSTR)-targeted PET/CT provides valuable clinical insights beyond standard imaging in meningioma patients. Due to its excellent diagnostic capabilities and favorable logistics, the

methodsConsecutive patients with known or suspected meningioma who underwent [

results61 patients with 109 lesions were analyzed: 40 (37%) extraosseous, 32 (29%) partial trans-osseous, and 37 (34%) predominantly intraosseous. The median optimal SUV

conclusionThe proposed SUV threshold of 4.0 showed promising results, supporting its suitability for clinical practice. Although limitations were evident, with 16% of lesions - primarily very small - showing reduced uptake and therefore not captured by this threshold, the study underscores its applicability in clinical practice.

Indexed as

Image Processing, Computer-AssistedMeningeal NeoplasmsMeningiomaPositron Emission Tomography Computed TomographyAdultAgedAged, 80 and overBiological TransportFemaleFluorine RadioisotopesHumansMaleMiddle AgedFluorine RadioisotopesMeningiomaPET/CTSegmentationSiTATEThreshold

Identifiers

PMID40699301
PMCPMC12830481

What OpenQuestion holds

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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.