Evidence map›Paper›PMID 33674403›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2021

Interobserver Agreement on Automated Metabolic Tumor Volume Measurements of Deauville Score 4 and 5 Lesions at Interim

Gerben J C Zwezerijnen, Jakoba J Eertink, Coreline N Burggraaff, Sanne E Wiegers, Ekhlas A I N Shaban, Simone Pieplenbosch, Daniela E Oprea-Lager, Pieternella J Lugtenburg, Otto S Hoekstra, Henrica C W de Vet and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Clinical scoring systems, molecular subtypes and baseline [Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Review
  7. International Benchmark for Total Metabolic Tumor Volume Measurement in BaselineJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  8. Automated Lugano Metabolic Response Assessment inJournal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  9. IsJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  10. Semi-automatedComputational and structural biotechnology journal · 2023
    Article
  11. The Impact of Semiautomatic Segmentation Methods on Metabolic Tumor Volume, Intensity, and Dissemination Radiomics inJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
  12. Article
  13. 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 4 institutions in 2 countries.

Gerben J C ZwezerijnenDepartment of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Jakoba J EertinkDepartment of Hematology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Coreline N BurggraaffDepartment of Hematology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Sanne E WiegersDepartment of Hematology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Ekhlas A I N ShabanRadiodiagnosis and Medical Imaging Department, Faculty of Medicine, Tanta University, Tanta, Egypt.
Simone PieplenboschDepartment of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Daniela E Oprea-LagerDepartment of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Pieternella J LugtenburgDepartment of Hematology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands; and.
Otto S HoekstraDepartment of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Henrica C W de VetDepartment of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands.
Josee M ZijlstraDepartment of Hematology, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Ronald BoellaardDepartment of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; r.boellaard@amsterdamumc.nl.
Amsterdam University Medical Centers · NLVrije Universiteit Amsterdam · NLErasmus MC Cancer Institute · NLTanta University Hospital · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic tumor volume (MTV) on interim PET (I-PET) is a potential prognostic biomarker for diffuse large B-cell lymphoma (DLBCL). Implementation of MTV on I-PET requires a consensus on which semiautomated segmentation method delineates lesions most successfully with least user interaction. Methods used for baseline PET are not necessarily optimal for I-PET because of lower lesional SUVs at I-PET. Therefore, we aimed to evaluate which method provides the best delineation quality for Deauville score (DS) 4-5 DLBCL lesions on I-PET at the best interobserver agreement on delineation quality and, second, to assess the effect of lesional SUV

Indexed as

Fluorodeoxyglucose F18Lymphoma, Large B-Cell, DiffuseObserver VariationPositron-Emission TomographyTumor BurdenAdultAgedAged, 80 and overAutomationFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticalslymphomametabolic tumor volumePETstand-ardization

Identifiers

PMID33674403
PMCPMC8612315
OpenAlexW3134549394

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.