Evidence map›Paper›PMID 36612093›Full record

ArticleCancers2022

Hotspot on 18F-FET PET/CT to Predict Aggressive Tumor Areas for Radiotherapy Dose Escalation Guiding in High-Grade Glioma.

Bastien Allard, Brieg Dissaux, David Bourhis, Gurvan Dissaux, Ulrike Schick, Pierre-Yves Salaün, Ronan Abgral, Solène Querellou

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Annals of nuclear medicine · 2025
    Trial
  2. Comparison of [European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. Comparison ofClinical and translational radiation oncology · 2025
    Article
  4. Contribution of [Pharmaceuticals (Basel, Switzerland) · 2024
    Review
  5. Article
  6. Article
  7. Review
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

8 authors at 2 institutions in 1 country.

Bastien AllardNuclear Medicine Department, University Hospital, 29200 Brest, France.
Brieg DissauxUFR Médecine, University of Western Brittany (UBO), 29200 Brest, France.
David BourhisNuclear Medicine Department, University Hospital, 29200 Brest, France.
Gurvan DissauxUFR Médecine, University of Western Brittany (UBO), 29200 Brest, France.ORCID 0000-0002-8536-748X
Ulrike SchickUFR Médecine, University of Western Brittany (UBO), 29200 Brest, France.
Pierre-Yves SalaünNuclear Medicine Department, University Hospital, 29200 Brest, France.
Ronan AbgralNuclear Medicine Department, University Hospital, 29200 Brest, France.
Solène QuerellouNuclear Medicine Department, University Hospital, 29200 Brest, France.ORCID 0000-0002-4525-2696
Inserm · FRUniversité de Bretagne Occidentale · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The standard therapy strategy for high-grade glioma (HGG) is based on the maximal surgery followed by radio-chemotherapy (RT-CT) with insufficient control of the disease. Recurrences are mainly localized in the radiation field, suggesting an interest in radiotherapy dose escalation to better control the disease locally. We aimed to identify a similarity between the areas of high uptake on O-(2-[18F]-fluoroethyl)-L-tyrosine (FET) positron emission tomography/computed tomography (PET) before RT-CT, the residual tumor on post-therapy NADIR magnetic resonance imaging (MRI) and the area of recurrence on MRI. This is an ancillary study from the IMAGG prospective trial assessing the interest of FET PET imaging in RT target volume definition of HGG. We included patients with diagnoses of HGG obtained by biopsy or tumor resection. These patients underwent FET PET and brain MRIs, both after diagnosis and before RT-CT. The follow-up consisted of sequential brain MRIs performed every 3 months until recurrence. Tumor delineation on the initial MRI 1 (GTV 1), post-RT-CT NADIR MRI 2 (GTV 2), and progression MRI 3 (GTV 3) were performed semi-automatically and manually adjusted by a neuroradiologist specialist in neuro-oncology. GTV 2 and GTV 3 were then co-registered on FET PET data. Tumor volumes on FET PET (MTV) were delineated using a tumor to background ratio (TBR) ≥ 1.6 and different % SUVmax PET thresholds. Spatial similarity between different volumes was performed using the dice (DICE), Jaccard (JSC), and overlap fraction (OV) indices and compared together in the biopsy or partial surgery group (G1) and the total or subtotal surgery group (G2). Another overlap index (OV') was calculated to determine the threshold with the highest probability of being included in the residual volume after RT-CT on MRI 2 and in MRI 3 (called "hotspot"). A total of 23 patients were included, of whom 22% (

Indexed as

18F-FEThigh grade gliomahotspotPET/CTradiation boost

Identifiers

PMID36612093
PMCPMC9817533
OpenAlexW4313247117

What OpenQuestion holds

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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.