Evidence map›Paper›PMID 26902523›Full record

Trial reportStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2016

4D-Listmode-PET-CT and 4D-CT for optimizing PTV margins in gastric lymphoma : Determination of intra- and interfractional gastric motion.

Gabriele Reinartz, Uwe Haverkamp, Ramona Wullenkord, Philipp Lehrich, Jan Kriz, Florian Büther, Klaus Schäfers, Michael Schäfers, Hans Theodor Eich

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Radiotherapy for extramedullary leukaemic manifestation (Chloroma).Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2018
    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.

Gabriele ReinartzDepartment of Radiation Oncology, University Hospital Muenster, Albert-Schweitzer Campus 1, Gebäude 1A, 48419, Muenster, Germany. gabriele.reinartz@ukmuenster.de.
Uwe HaverkampDepartment of Radiation Oncology, University Hospital Muenster, Albert-Schweitzer Campus 1, Gebäude 1A, 48419, Muenster, Germany.
Ramona WullenkordDepartment of Radiation Oncology, University Hospital Muenster, Albert-Schweitzer Campus 1, Gebäude 1A, 48419, Muenster, Germany.
Philipp LehrichDepartment of Radiation Oncology, University Hospital Muenster, Albert-Schweitzer Campus 1, Gebäude 1A, 48419, Muenster, Germany.
Jan KrizDepartment of Radiation Oncology, University Hospital Muenster, Albert-Schweitzer Campus 1, Gebäude 1A, 48419, Muenster, Germany.
Florian BütherEuropean Institute for Molecular Imaging (EIMI), University of Muenster, Muenster, Germany.
Klaus SchäfersEuropean Institute for Molecular Imaging (EIMI), University of Muenster, Muenster, Germany.
Michael SchäfersEuropean Institute for Molecular Imaging (EIMI), University of Muenster, Muenster, Germany.
Hans Theodor EichDepartment of Radiation Oncology, University Hospital Muenster, Albert-Schweitzer Campus 1, Gebäude 1A, 48419, Muenster, Germany.
University Hospital Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNew imaging protocols for radiotherapy in localized gastric lymphoma were evaluated to optimize planning target volume (PTV) margin and determine intra-/interfractional variation of the stomach.

methodsImaging of 6 patients was explored prospectively. Intensity-modulated radiotherapy (IMRT) planning was based on 4D/3D imaging of computed tomography (CT) and positron-emission tomography (PET)-CT. Static and motion gross tumor volume (sGTV and mGTV, respectively) were distinguished by defining GTV (empty stomach), clinical target volume (CTV = GTV + 5 mm margin), PTV (GTV + 10/15/20/25 mm margins)  plus paraaortic lymph nodes and proximal duodenum. Overlap of 4D-Listmode-PET-based mCTV with 3D-CT-based PTV (increasing margins) and V95/D95 of mCTV were evaluated. Gastric shifts were determined using online cone-beam CT. Dose contribution to organs at risk was assessed.

resultsThe 4D data demonstrate considerable intra-/interfractional variation of the stomach, especially along the vertical axis. Conventional 3D-CT planning utilizing advancing PTV margins of 10/15/20/25 mm resulted in rising dose coverage of mCTV (4D-Listmode-PET-Summation-CT) and rising D95 and V95 of mCTV. A PTV margin of 15 mm was adequate in 3 of 6 patients, a PTV margin of 20 mm was adequate in 4 of 6 patients, and a PTV margin of 25 mm was adequate in 5 of 6 patients.

conclusionIMRT planning based on 4D-PET-CT/4D-CT together with online cone-beam CT is advisable to individualize the PTV margin and optimize target coverage in gastric lymphoma.

Indexed as

AdultDose Fractionation, RadiationFemaleHumansImage EnhancementLymphoma, Non-HodgkinMaleMargins of ExcisionMiddle AgedMotionOrgans at RiskPositron Emission Tomography Computed TomographyRadiotherapy DosageRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedReproducibility of Results4D computed tomographyCone-beam computed tomographyGastric lymphomaIntensity-modulated radiotherapyPlanning target volume marginPositron-emission tomography

Identifiers

PMID26902523
OpenAlexW2316840292

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.