Evidence map›Paper›PMID 36399161›Full record

ArticlePediatric radiology2023

Evaluation of functional and metabolic tumor volume using voxel-wise analysis in childhood rhabdomyosarcoma.

Simon Maennlin, Maryanna Chaika, Sebastian Gassenmaier, Robert Grimm, Monika Sparber-Sauer, Jörg Fuchs, Andreas Schmidt, Martin Ebinger, Simone Hettmer, Sergios Gatidids and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Pediatric radiology, 2023. 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
0.9field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Utilizing [Cancers · 2026
    Article
  2. Article
  3. Combined Metabolic and Functional Tumor Volumes on [Journal of clinical medicine · 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

12 authors at 5 institutions in 1 country.

Simon MaennlinDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany. Simon.Maennlin@med.uni-tuebingen.de.ORCID http://orcid.org/0000-0001-6944-0627
Maryanna ChaikaDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.ORCID http://orcid.org/0000-0002-6582-5105
Sebastian GassenmaierDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.ORCID http://orcid.org/0000-0003-3701-2227
Robert GrimmMR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.ORCID http://orcid.org/0000-0002-1233-8215
Monika Sparber-SauerPediatrics 5, Klinikum Stuttgart, Olgahospital, Stuttgart, Germany.ORCID http://orcid.org/0000-0001-9551-2399
Jörg FuchsDepartment of Pediatric Surgery and Pediatric Urology, University Children's Hospital Tuebingen, Tuebingen, Germany.
Andreas SchmidtDepartment of Pediatric Surgery and Pediatric Urology, University Children's Hospital Tuebingen, Tuebingen, Germany.ORCID http://orcid.org/0000-0001-9775-0403
Martin EbingerDepartment of Hematology and Oncology, University Children's Hospital Tübingen, Tuebingen, Germany.ORCID http://orcid.org/0000-0002-4229-8058
Simone HettmerDepartment of Pediatrics and Adolescent Medicine, Division of Pediatric Hematology and Oncology, Faculty of Medicine, University of Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0003-1709-4448
Sergios GatididsDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.ORCID http://orcid.org/0000-0002-6928-4967
Helmut DittmannDepartment of Nuclear Medicine, University Hospital Tuebingen, Tuebingen, Germany.ORCID http://orcid.org/0000-0001-6840-5571
Jürgen F SchäferDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Hoppe-Seyler-Strasse 3, 72076, Tuebingen, Germany.ORCID http://orcid.org/0000-0003-3279-8726
University Children's Hospital Tübingen · DEUniversity of Tübingen · DEOlgahospital · DESiemens Healthineers (Germany) · DEUniversity of Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCross-sectional imaging-based morphological characteristics of pediatric rhabdomyosarcoma have failed to predict outcomes.

objectiveTo evaluate the feasibility and possible value of generating tumor sub-volumes using voxel-wise analysis of metabolic and functional data from positron emission tomography/magnetic resonance imaging (PET/MR) or PET/computed tomography (CT) and MRI in rhabdomyosarcoma. MATERIALS AND

methodsThirty-four examinations in 17 patients who received PET/MRI or PET/CT plus MRI were analyzed. The volume of interest included total tumor volume before and after therapy. Apparent diffusion coefficients (ADC) and standard uptake values (SUV) were determined voxel-wise. Voxels were assigned to three different groups based on ADC and SUV: "viable tumor tissue," "intermediate tissue" or "possible necrosis." In a second approach, data were grouped into three clusters using the Gaussian mixture model. The ratio of these clusters to total tumor volume and changes due to chemotherapy were correlated with clinical and histopathological data.

resultsAfter chemotherapy, the proportion of voxels in the different groups changed significantly. A significant reduction of the proportion of voxels assigned to cluster 1 was found, from a mean of 36.4% to 2.5% (P < 0.001). There was a significant increase in the proportion of voxels in cluster 3 following chemotherapy from 24.8% to 81.6% (P = 0.02). The proportion of voxels in cluster 2 differed depending on the presence or absence of tumor recurrence, falling from 48% to 10% post-chemotherapy in the group with no tumor recurrence (P < 0.05) and from 29% to 23% (P > 0.05) in the group with tumor recurrence.

conclusionVoxel-wise evaluation of multimodal data in rhabdomyosarcoma is feasible. Our initial results suggest that the different distribution of sub-volumes before and after therapy may have prognostic significance.

Indexed as

Positron Emission Tomography Computed TomographyRhabdomyosarcomaChildDiffusion Magnetic Resonance ImagingFluorodeoxyglucose F18HumansNeoplasm Recurrence, LocalPositron-Emission TomographyRadiopharmaceuticalsTumor BurdenFluorodeoxyglucose F18RadiopharmaceuticalsChildrenComputed tomographyDiffusion-weighted imagingMagnetic resonance imagingMultimodal imagingPositron emission tomographyPrognosisRhabdomyosarcoma

Identifiers

PMID36399161
PMCPMC9968707
OpenAlexW4309368337

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.