Evidence map›Paper›PMID 33334369›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2020

Feasibility and possible value of quantitative semi-automated diffusion weighted imaging volumetry of neuroblastic tumors.

Sebastian Gassenmaier, Ilias Tsiflikas, Jörg Fuchs, Robert Grimm, Cristian Urla, Michael Esser, Simon Maennlin, Martin Ebinger, Steven W Warmann, Jürgen F Schäfer

Open access · goldAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.0field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 17 citations in OpenAlex.

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  11. Combined Metabolic and Functional Tumor Volumes on [Journal of clinical medicine · 2023
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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

10 authors at 3 institutions in 1 country.

Sebastian GassenmaierDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Hoppe-Seyler-Straße 3, 72076, Tuebingen, Germany. sebastian.gassenmaier@med.uni-tuebingen.de.ORCID http://orcid.org/0000-0003-3701-2227
Ilias TsiflikasDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Hoppe-Seyler-Straße 3, 72076, Tuebingen, Germany.
Jörg FuchsDepartment of Pediatric Surgery and Pediatric Urology, University Children's Hospital Tuebingen, Tuebingen, Germany.
Robert GrimmSiemens Healthcare GmbH, Erlangen, Germany.
Cristian UrlaDepartment of Pediatric Surgery and Pediatric Urology, University Children's Hospital Tuebingen, Tuebingen, Germany.
Michael EsserDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Hoppe-Seyler-Straße 3, 72076, Tuebingen, Germany.
Simon MaennlinDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Hoppe-Seyler-Straße 3, 72076, Tuebingen, Germany.
Martin EbingerDepartment of Pediatric Hematology and Oncology, University Children's Hospital Tuebingen, Tuebingen, Germany.
Steven W WarmannDepartment of Pediatric Surgery and Pediatric Urology, University Children's Hospital Tuebingen, Tuebingen, Germany.
Jürgen F SchäferDepartment of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Hoppe-Seyler-Straße 3, 72076, Tuebingen, Germany.
University Children's Hospital Tübingen · DESiemens Healthineers (Germany) · DEUniversity of Tübingen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo assess the feasibility and possible value of semi-automated diffusion weighted imaging (DWI) volumetry of whole neuroblastic tumors with apparent diffusion coefficient (ADC) map evaluation after neoadjuvant chemotherapy.

methodsPediatric patients who underwent surgical resection of neuroblastic tumors at our institution from 2013 to 2019 and who received a preoperative MRI scan with DWI after chemotherapy were included. Tumor volume was assessed with a semi-automated approach in DWI using a dedicated software prototype. Quantitative ADC values were calculated automatically of the total tumor volume after manual exclusion of necrosis. Manual segmentation in T1 weighted and T2 weighted sequences was used as reference standard for tumor volume comparison. The Student's t test was used for parametric data while the Wilcoxon rank sum test and the Kruskal-Wallis test were applied for non-parametric data.

resultsTwenty seven patients with 28 lesions (neuroblastoma (NB): n = 19, ganglioneuroblastoma (GNB): n = 7, ganglioneuroma (GN): n = 2) could be evaluated. Mean patient age was 4.5 ± 3.2 years. Median volume of standard volumetry (T1w or T2w) was 50.2 ml (interquartile range (IQR): 91.9 ml) vs. 45.1 ml (IQR: 98.4 ml) of DWI (p = 0.145). Mean ADC values (× 10

conclusionsQuantitative semi-automated DWI volumetry is feasible in neuroblastic tumors with integrated analysis of tissue characteristics by providing automatically calculated ADC values of the whole tumor as well as an ADC heatmap. The 5th percentile of the ADC values of the whole tumor volume proved to be the most significant parameter for differentiation of the histopathological subtypes in our patient cohort and further investigation seems to be worthwhile.

Indexed as

Child, PreschoolDiagnosis, DifferentialDiffusion Magnetic Resonance ImagingFeasibility StudiesFemaleGanglioneuromaHumansImage Interpretation, Computer-AssistedMaleNeoadjuvant TherapyNeuroblastomaPredictive Value of TestsReproducibility of ResultsRetrospective StudiesSoftwareTumor BurdenDiagnostic imagingDiffusion magnetic resonance imagingMagnetic resonance imagingNeuroblastoma

Identifiers

PMID33334369
PMCPMC7745476
OpenAlexW3112880678

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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.