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ArticleStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2021

[F18] FDG-PET/CT for manual or semiautomated GTV delineation of the primary tumor for radiation therapy planning in patients with esophageal cancer: is it useful?

Franziska Walter, Constanze Jell, Barbara Zollner, Claudia Andrae, Sabine Gerum, Harun Ilhan, Claus Belka, Maximilian Niyazi, Falk Roeder

Open access · hybridAbstract read
In one paragraph

Article in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 2 countries.

Franziska WalterDepartment of Radiation Oncology, University Hospital, Ludwig-Maximilians-University, Munich, Germany. franziska.walter@med.uni-muenchen.de.ORCID 0000-0001-7912-322X
Constanze JellDepartment of Radiation Oncology, University Hospital, Ludwig-Maximilians-University, Munich, Germany.
Barbara ZollnerDepartment of Radiation Oncology, University Hospital, Ludwig-Maximilians-University, Munich, Germany.
Claudia AndraeDepartment of Radiation Oncology, University Hospital, Ludwig-Maximilians-University, Munich, Germany.
Sabine GerumDepartment of Radiotherapy and Radiation Oncology, Paracelsus Medical University (PMU), Landeskrankenhaus, Salzburg, Austria.
Harun IlhanDepartment of Nuclear Oncology, University Hospital, Ludwig-Maximilians-University, Munich, Germany.
Claus BelkaDepartment of Radiation Oncology, University Hospital, Ludwig-Maximilians-University, Munich, Germany.
Maximilian NiyaziDepartment of Radiation Oncology, University Hospital, Ludwig-Maximilians-University, Munich, Germany.
Falk RoederDepartment of Radiotherapy and Radiation Oncology, Paracelsus Medical University (PMU), Landeskrankenhaus, Salzburg, Austria.
Ludwig-Maximilians-Universität München · DEParacelsus Medical University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTarget volume definition of the primary tumor in esophageal cancer is usually based on computed tomography (CT) supported by endoscopy and/or endoscopic ultrasound and can be difficult given the low soft-tissue contrast of CT resulting in large interobserver variability. We evaluated the value of a dedicated planning [F18] FDG-Positron emission tomography/computer tomography (PET/CT) for harmonization of gross tumor volume (GTV) delineation and the feasibility of semiautomated structures for planning purposes in a large cohort.

methodsPatients receiving a dedicated planning [F18] FDG-PET/CT (06/2011-03/2016) were included. GTV was delineated on CT and on PET/CT (GTV

results45 cases were evaluated. Mean GTV

conclusionWe were not able to show that the integration of PET/CT for GTV delineation of the primary tumor resulted in reduced interobserver variability. The PERCIST-TLG algorithm seemed most promising compared to other thresholds for further evaluation of semiautomated delineation of esophageal cancer.

Indexed as

Esophageal NeoplasmsFluorodeoxyglucose F18HumansPositron-Emission TomographyPositron Emission Tomography Computed TomographyRadiopharmaceuticalsRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedTumor BurdenFluorodeoxyglucose F18RadiopharmaceuticalsContouringGross tumor volumeInterobserver variabilityPERCIST-TLGRadiotherapy

Identifiers

PMID33104815
PMCPMC8397654
OpenAlexW3093612731

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.