Evidence map›Paper›PMID 36006068›Full record

ArticleTomography (Ann Arbor, Mich.)2022

Radiotherapy Target Volume Definition in Newly Diagnosed High-Grade Glioma Using 18F-FET PET Imaging and Multiparametric MRI: An Inter Observer Agreement Study.

Brieg Dissaux, Doria Mazouz Fatmi, Julien Ognard, Bastien Allard, Nathalie Keromnes, Amina Latreche, Amandine Lepeuve, Ulrike Schick, Vincent Bourbonne, Douraied Ben Salem and 2 more

Open access · goldAbstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Brieg DissauxRadiology Department, University Hospital, CHU de la Cavale Blanche, Boulevard Tanguy Prigent, CEDEX, 29609 Brest, France.
Doria Mazouz FatmiRadiology Department, University Hospital, CHU de la Cavale Blanche, Boulevard Tanguy Prigent, CEDEX, 29609 Brest, France.
Julien OgnardRadiology Department, University Hospital, CHU de la Cavale Blanche, Boulevard Tanguy Prigent, CEDEX, 29609 Brest, France.ORCID 0000-0003-4495-7464
Bastien AllardNuclear Medicine Department, University Hospital, CHU de la Cavale Blanche, Boulevard Tanguy Prigent, CEDEX, 29609 Brest, France.
Nathalie KeromnesNuclear Medicine Department, University Hospital, CHU de la Cavale Blanche, Boulevard Tanguy Prigent, CEDEX, 29609 Brest, France.
Amina LatrecheRadiation Oncology Department, University Hospital, CHU de la Cavale Blanche, Boulevard Tanguy Prigent, CEDEX, 29609 Brest, France.
Amandine LepeuveUFR Médecine, Université de Bretagne Occidentale, 22, rue Camille Desmoulins-CS93837, CEDEX 3, 29238 Brest, France.
Ulrike SchickUFR Médecine, Université de Bretagne Occidentale, 22, rue Camille Desmoulins-CS93837, CEDEX 3, 29238 Brest, France.
Vincent BourbonneUFR Médecine, Université de Bretagne Occidentale, 22, rue Camille Desmoulins-CS93837, CEDEX 3, 29238 Brest, France.ORCID 0000-0002-2631-0029
Douraied Ben SalemRadiology Department, University Hospital, CHU de la Cavale Blanche, Boulevard Tanguy Prigent, CEDEX, 29609 Brest, France.ORCID 0000-0001-5532-2208
Gurvan DissauxUFR Médecine, Université de Bretagne Occidentale, 22, rue Camille Desmoulins-CS93837, CEDEX 3, 29238 Brest, France.
Solène QuerellouGroupe d'Étude de la Thrombose Occidentale GETBO (Inserm UMR 1304), Université de Bretagne Occidentale, CHU de la Cavale Blanche, Boulevard Tanguy Prigent, CEDEX, 29609 Brest, France.
Inserm · FRUniversité de Bretagne Occidentale · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of this prospective monocentric study was to assess the inter-observer agreement for tumor volume delineations by multiparametric MRI and 18-F-FET-PET/CT in newly diagnosed, untreated high-grade glioma (HGG) patients. Methods: Thirty patients HGG underwent O-(2-[18F]-fluoroethyl)-l-tyrosine(18F-FET) positron emission tomography (PET), and multiparametric MRI with computation of rCBV map and K2 map. Three nuclear physicians and three radiologists with different levels of experience delineated the 18-F-FET-PET/CT and 6 MRI sequences, respectively. Spatial similarity (Dice and Jaccard: DSC and JSC) and overlap (Overlap: OV) coefficients were calculated between the readers for each sequence. Results: DSC, JSC, and OV were high for 18F-FET PET/CT, T1-GD, and T2-FLAIR (>0.67). The Spearman correlation coefficient between readers was ≥0.6 for these sequences. Cross-comparison of similarity and overlap parameters showed significant differences for DSC and JSC between 18F-FET PET/CT and T2-FLAIR and for JSC between 18F-FET PET/CT and T1-GD with higher values for 18F-FET PET/CT. No significant difference was found between T1-GD and T2-FLAIR. rCBV, K2, b1000, and ADC showed correlation coefficients between readers <0.6. Conclusion: The interobserver agreements for tumor volume delineations were high for 18-F-FET-PET/CT, T1-GD, and T2-FLAIR. The DWI (b1000, ADC), rCBV, and K2-based sequences, as performed, did not seem sufficiently reproducible to be used in daily practice.

Indexed as

Brain NeoplasmsGliomaMultiparametric Magnetic Resonance ImagingHumansObserver VariationPositron-Emission TomographyPositron Emission Tomography Computed TomographyProspective StudiesTomography, X-Ray ComputedTyrosineTyrosine18-F-FET-PET/CThigh-grade gliomainter-observer agreement studymultiparametric MRItumor volume delineation

Identifiers

PMID36006068
PMCPMC9415495
OpenAlexW4292316596

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.