Evidence map›Paper›PMID 37762918›Full record

ArticleJournal of clinical medicine2023

Combined Metabolic and Functional Tumor Volumes on [

Maryanna Chaika, Simon Männlin, Sebastian Gassenmaier, Ilias Tsiflikas, Helmut Dittmann, Tim Flaadt, Steven Warmann, Brigitte Gückel, Jürgen Frank Schäfer

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Revista de neurologia · 2026
    Article
  2. 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

9 authors at 1 institution in 1 country.

Maryanna ChaikaDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, 72076 Tuebingen, Germany.ORCID 0000-0002-6582-5105
Simon MännlinDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, 72076 Tuebingen, Germany.
Sebastian GassenmaierDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, 72076 Tuebingen, Germany.ORCID 0000-0003-3701-2227
Ilias TsiflikasDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, 72076 Tuebingen, Germany.ORCID 0000-0001-7166-4689
Helmut DittmannDepartment of Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen, 72076 Tuebingen, Germany.ORCID 0000-0001-6840-5571
Tim FlaadtDepartment of Hematology and Oncology, University Children's Hospital Tuebingen, 72076 Tuebingen, Germany.ORCID 0000-0002-2729-9941
Steven WarmannDepartment of Pediatric Surgery and Pediatric Urology, University Children's Hospital Tuebingen, 72076 Tuebingen, Germany.ORCID 0000-0001-5522-3250
Brigitte GückelDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, 72076 Tuebingen, Germany.
Jürgen Frank SchäferDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, 72076 Tuebingen, Germany.ORCID 0000-0003-3279-8726
University Children's Hospital Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of our study was to evaluate the association between the [

methodsFrom our prospective observational PET/MRI study, a subcohort of patients diagnosed with NB with both baseline imaging and post-chemotherapy imaging was further investigated. After registration and tumor segmentation, metabolic and functional tumor volumes were calculated from the ADC and SUV values using dedicated software allowing for voxel-wise analysis. Under the mean of thresholds, each voxel was assigned to one of three virtual tissue groups: highly vital (v) (low ADC and high SUV), possibly low vital (lv) (high ADC and low SUV), and equivocal (e) with high ADC and high SUV or low ADC and low SUV. Moreover, three clusters were generated from the total tumor volumes using the method of multiple Gaussian distributions. The Pearson's correlation coefficient between the ADC and the SUV was calculated for each group.

resultsOut of 43 PET/MRIs in 21 patients with NB, 16 MRIs in 8 patients met the inclusion criteria (PET/MRIs before and after chemotherapy). The proportion of tumor volumes were 26%, 36%, and 38% (v, lv, e) at baseline, 0.03%, 66%, and 34% after treatment in patients with response, and 42%, 25%, and 33% with progressive disease, respectively. In all clusters, the ADC and the SUV correlated negatively. In the cluster that corresponded to highly vital tissue, the ADC and the SUV showed a moderate negative correlation before treatment (R = -0.18;

conclusionOur results indicate that voxel-wise analysis of the ADC and the SUV is feasible and can quantify the different quality of tissue in neuroblastic tumors. Monitoring ADCs as well as SUV levels can quantify tumor dynamics during therapy.

Indexed as

high-risk neuroblastomaPET/MRIvoxel-wise analysis

Identifiers

PMID37762918
PMCPMC10531552
OpenAlexW4386779035

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.