Evidence map›Paper›PMID 38672146›Full record

ArticleBiomedicines2024

Correlation between rCBV Delineation Similarity and Overall Survival in a Prospective Cohort of High-Grade Gliomas Patients: The Hidden Value of Multimodal MRI?

Amina Latreche, Gurvan Dissaux, Solène Querellou, Doria Mazouz Fatmi, François Lucia, Anais Bordron, Alicia Vu, Ruben Touati, Victor Nguyen, Mohamed Hamya and 2 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2024. 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
0.8field-weighted citation impact, top 29% 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

12 authors at 2 institutions in 1 country.

Amina LatrecheRadiation Oncology Department, University Hospital, 29200 Brest, France.
Gurvan DissauxRadiation Oncology Department, University Hospital, 29200 Brest, France.
Solène QuerellouNuclear Medicine Department, University Hospital, 29200 Brest, France.ORCID 0000-0002-4525-2696
Doria Mazouz FatmiRadiology Department, University Hospital, 29200 Brest, France.
François LuciaRadiation Oncology Department, University Hospital, 29200 Brest, France.ORCID 0000-0001-7286-1350
Anais BordronRadiation Oncology Department, University Hospital, 29200 Brest, France.
Alicia VuRadiation Oncology Department, University Hospital, 29200 Brest, France.
Ruben TouatiRadiation Oncology Department, University Hospital, 29200 Brest, France.ORCID 0000-0003-1035-3208
Victor NguyenRadiation Oncology Department, University Hospital, 29200 Brest, France.
Mohamed HamyaRadiation Oncology Department, University Hospital, 29200 Brest, France.
Brieg DissauxGroupe d'Etude de la Thrombose Occidentale GETBO (INSERM UMR 1304), Université de Bretagne Occidentale, 29200 Brest, France.
Vincent BourbonneRadiation Oncology Department, University Hospital, 29200 Brest, France.ORCID 0000-0002-2631-0029
Centre Hospitalier Régional Universitaire de Brest · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe accuracy of target delineation in radiation treatment planning of high-grade gliomas (HGGs) is crucial to achieve high tumor control, while minimizing treatment-related toxicity. Magnetic resonance imaging (MRI) represents the standard imaging modality for delineation of gliomas with inherent limitations in accurately determining the microscopic extent of tumors. The purpose of this study was to assess the survival impact of multi-observer delineation variability of multiparametric MRI (mpMRI) and [ MATERIALS AND

methodsThirty prospectively included patients with histologically confirmed HGGs underwent a PET/CT and mpMRI including diffusion-weighted imaging (DWI: b0, b1000, ADC), contrast-enhanced T1-weighted imaging (T1-Gado), T2-weighted fluid-attenuated inversion recovery (T2Flair), and perfusion-weighted imaging with computation of relative cerebral blood volume (rCBV) and K2 maps. Nine radiation oncologists delineated the PET/CT and MRI sequences. Spatial similarity (Dice similarity coefficient: DSC) was calculated between the readers for each sequence. Impact of the DSC on progression-free survival (PFS) and overall survival (OS) was assessed using Kaplan-Meier curves and the log-rank test.

resultsThe highest DSC mean values were reached for morphological sequences, ranging from 0.71 +/- 0.18 to 0.84 +/- 0.09 for T2Flair and T1Gado, respectively, while metabolic volumes defined by PET/CT achieved a mean DSC of 0.75 +/- 0.11. rCBV variability (mean DSC0.32 +/- 0.20) significantly impacted PFS (

conclusionsOur data suggest that the T1-Gado and T2Flair sequences were the most reproducible sequences, followed by PET/CT. Reproducibility for functional sequences was low, but rCBV inter-reader similarity significantly impacted PFS and OS.

Indexed as

[18F]-FET PET/CTdelineationglioblastomahigh-grade gliomasmagnetic resonance imagingMRIPET-FETradiotherapyrCBV

Identifiers

PMID38672146
PMCPMC11048661
OpenAlexW4393870175

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.