Evidence map›Paper›PMID 33099667›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2021

Clinically feasible semi-automatic workflows for measuring metabolically active tumour volume in metastatic melanoma.

Joyce van Sluis, Ellen C de Heer, Mayke Boellaard, Mathilde Jalving, Adrienne H Brouwers, Ronald Boellaard

Abstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Beyond target lesions: Prognostic value of longitudinal AI-derived whole-body [European journal of nuclear medicine and molecular imaging · 2026
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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

6 authors.

Joyce van SluisDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands.ORCID https://orcid.org/0000-0003-1908-4518
Ellen C de HeerDepartment of Medical Oncology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.ORCID https://orcid.org/0000-0001-5965-711X
Mayke BoellaardDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands.
Mathilde JalvingDepartment of Medical Oncology, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
Adrienne H BrouwersDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands.
Ronald BoellaardDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713GZ, Groningen, The Netherlands. r.boellaard@umcg.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMetabolically active tumour volume (MATV) is a potential quantitative positron emission tomography (PET) imaging biomarker in melanoma. Accumulating data indicate that low MATV may predict increased chance of response to immunotherapy and overall survival. However, metastatic melanoma can present with numerous (small) tumour lesions, making manual tumour segmentation time-consuming. The aim of this study was to evaluate multiple semi-automatic segmentation workflows to determine reliability and reproducibility of MATV measurements in patients with metastatic melanoma.

methodsAn existing cohort of 64 adult patients with histologically proven metastatic melanoma was used in this study.

resultsCorrelation between the MATVs derived by the manual segmentation and semi-automated tumour segmentations ranged from R

conclusionsSimple and fast semi-automated FDG PET segmentation workflows yield accurate and reproducible MATV measurements that correlate well with manual segmentation in metastatic melanoma. The most readily applicable and user-friendly SUV40 method allows feasible MATV measurement in prospective multicentre studies required for validation of this potential PET imaging biomarker for clinical use.

Indexed as

MelanomaPositron Emission Tomography Computed TomographyAdultFluorodeoxyglucose F18HumansProspective StudiesReproducibility of ResultsTomography, X-Ray ComputedTumor BurdenWorkflowFluorodeoxyglucose F18FDG PET/CTMATVMelanomaQuantificationSegmentation

Identifiers

PMID33099667
PMCPMC8113298

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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.