Evidence map›Paper›PMID 36139596›Full record

ArticleCancers2022

Impact of SSTR PET on Inter-Observer Variability of Target Delineation of Meningioma and the Possibility of Using Threshold-Based Segmentations in Radiation Oncology.

Florian Kriwanek, Leo Ulbrich, Wolfgang Lechner, Carola Lütgendorf-Caucig, Stefan Konrad, Cora Waldstein, Harald Herrmann, Dietmar Georg, Joachim Widder, Tatjana Traub-Weidinger and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

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

  1. Guideline
  2. Observational
  3. Review
  4. Review
  5. Validation of SUV thresholds in [¹⁸F]SiTATE PET/CT for accurate meningioma segmentation.European journal of nuclear medicine and molecular imaging · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. In Regard to Trotter et al.Advances in radiation oncology · 2024
    Article
  11. Postoperative [European journal of nuclear medicine and molecular imaging · 2023
    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 at 2 institutions in 1 country.

Florian KriwanekDivision of Nuclear Medicine, Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Leo UlbrichDepartment of Radiation Oncology, Medical University of Vienna, 1090 Vienna, Austria.
Wolfgang LechnerDepartment of Radiation Oncology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0001-9211-7510
Carola Lütgendorf-CaucigMedAustron Ion Therapy Center, 2700 Wiener Neustadt, Austria.
Stefan KonradDepartment of Radiation Oncology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0001-8429-3741
Cora WaldsteinDepartment of Radiation Oncology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0001-8808-1850
Harald HerrmannDepartment of Radiation Oncology, Medical University of Vienna, 1090 Vienna, Austria.
Dietmar GeorgDepartment of Radiation Oncology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-8327-3877
Joachim WidderDepartment of Radiation Oncology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-9972-6690
Tatjana Traub-WeidingerDivision of Nuclear Medicine, Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-1118-926X
Ivo RauschQIMP Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-4007-1669
Medical University of Vienna · ATMedAustron · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The aim of this study was to assess the effects of including somatostatin receptor agonist (SSTR) PET imaging in meningioma radiotherapy planning by means of changes in inter-observer variability (IOV). Further, the possibility of using threshold-based delineation approaches for semiautomatic tumor volume definition was assessed. Patients and Methods: Sixteen patients with meningioma undergoing fractionated radiotherapy were delineated by five radiation oncologists. IOV was calculated by comparing each delineation to a consensus delineation, based on the simultaneous truth and performance level estimation (STAPLE) algorithm. The consensus delineation was used to adapt a threshold-based delineation, based on a maximization of the mean Dice coefficient. To test the threshold-based approach, seven patients with SSTR-positive meningioma were additionally evaluated as a validation group. Results: The average Dice coefficients for delineations based on MRI alone was 0.84 ± 0.12. For delineation based on MRI + PET, a significantly higher dice coefficient of 0.87 ± 0.08 was found (p < 0.001). The Hausdorff distance decreased from 10.96 ± 11.98 mm to 8.83 ± 12.21 mm (p < 0.001) when adding PET for the lesion delineation. The best threshold value for a threshold-based delineation was found to be 14.0% of the SUVmax, with an average Dice coefficient of 0.50 ± 0.19 compared to the consensus delineation. In the validation cohort, a Dice coefficient of 0.56 ± 0.29 and a Hausdorff coefficient of 27.15 ± 21.54 mm were found for the threshold-based approach. Conclusions: SSTR-PET added to standard imaging with CT and MRI reduces the IOV in radiotherapy planning for patients with meningioma. When using a threshold-based approach for PET-based delineation of meningioma, a relatively low threshold of 14.0% of the SUVmax was found to provide the best agreement with a consensus delineation.

Indexed as

Inter-observer variabilitymeningioma imagingPET/CTradiation therapy planningsomatostatin receptor PET

Identifiers

PMID36139596
PMCPMC9497299
OpenAlexW4296747666

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.