Evidence map›Paper›PMID 41258525›Full record

ArticleDiscover oncology2025

Feasibility of different meningioma delineation approaches on [

Sophie Carina Kunte, Lena M Unterrainer, Simon Lindner, Adrien Holzgreve, Wolfgang G Kunz, Michael Winkelmann, Alexander Nitschmann, Klaus Jurkschat, Carmen Wängler, Björn Wängler and 6 more

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Correlation of [EJNMMI research · 2026
    Article
  2. Observational
  3. Validation of SUV thresholds in [¹⁸F]SiTATE PET/CT for accurate meningioma segmentation.European journal of nuclear medicine and molecular imaging · 2026
    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

16 authors.

Sophie Carina KunteDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. Sophie.Kunte@med.uni-muenchen.de.
Lena M UnterrainerDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Simon LindnerDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Adrien HolzgreveDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Wolfgang G KunzDepartment of Radiology, LMU University Hospital, LMU Munich, Munich, Germany.
Michael WinkelmannDepartment of Radiology, LMU University Hospital, LMU Munich, Munich, Germany.
Alexander NitschmannDepartment of Radiation Oncology, 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.
Claus BelkaDepartment of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
Niklas ThonDepartment of Neurosurgery, LMU University Hospital, LMU Munich, IE RADIOLOGIE, Munich, Germany.
Christian SchichorDepartment of Neurosurgery, LMU University Hospital, LMU Munich, IE RADIOLOGIE, Munich, Germany.
Peter BartensteinDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Marcus UnterrainerDepartment of Nuclear Medicine, LMU University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSomatostatin receptor (SSTR)-targeted PET is valuable for meningioma imaging due to high SSTR expression. [18F]SiTATE, a novel tracer, is not only promising for imaging neuroendocrine tumors but also for meningiomas. Standardized delineation methods on [18F]SiTATE PET are lacking. This study correlates CT-based volumes with PET-based delineation approaches to identify a threshold for standardized [18F]SiTATE PET volume assessment.

methodsPatients with well-delineated, extraosseous meningioma on CT (≥ 1mL) who underwent [18F]SiTATE PET/CT were included. Volumes were assessed on contrast-enhanced CT and correlated with PET-based delineation approaches: (I) fixed SUV threshold, (II) isocontour thresholding relative to SUVmax (SUV%), and thresholds relative to (III) bone marrow (SUVBM), (IV) parotid gland (SUVparotis) and (V) pituitary gland (SUVsella).

results19 meningiomas in 17 PET/CT scans (16 patients) were included. A fixed SUV of 4.0 (r = 0.783, p < 0.001) showed good correlation with CT volumes without skewed distribution on Bland-Altman-Plot analysis. Using isocontour-based thresholds, 45% SUVmax (r = 0.496, p = 0.031) showed the highest concordance. Best reference-based approaches were achieved by 150% SUVBM (r = 0.859, p < 0.001), 250% SUVparotis (r = 0.460, p = 0.047) and 70% SUVsella (r = 0.819, p < 0.001). However, background-based approaches showed a trend towards overestimation of PET-volumes in larger meningiomas as assessed on Bland-Altman-Plot analyses. Uptake intensities of reference tissues (SUVBM, SUVparotis and SUVsella) were not inter-correlated (p > 0.05 each).

conclusionA fixed SUV threshold of 4.0 showed strong agreement with CT-based volumes in well-delineated, extraosseous meningiomas which offers a simple, clinically applicable method without technical requirements. Reference tissue-based methods showed similar correlations but tended to overestimate volumes in larger lesions.

Indexed as

[18F]SiTATEDelineationIsocontourMeningiomaSSTRSUV

Identifiers

PMID41258525
PMCPMC12669456

What OpenQuestion holds

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Registered trials

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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.