Evidence map›Paper›PMID 18818918›Full record

Trial reportEuropean journal of nuclear medicine and molecular imaging2009

Assessment of various strategies for 18F-FET PET-guided delineation of target volumes in high-grade glioma patients.

Hansjörg Vees, Srinivasan Senthamizhchelvan, Raymond Miralbell, Damien C Weber, Osman Ratib, Habib Zaidi

Open access · bronzeAbstract readClinical TrialComparative Study
PubMed Publisher
In one paragraph

Trial report in European journal of nuclear medicine and molecular imaging, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 109 citations in OpenAlex.

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  7. Heterogeneous parameters based onQuantitative imaging in medicine and surgery · 2021
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  10. Impact ofScientific reports · 2018
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  11. Evaluation of factors influencingNeuroImage. Clinical · 2018
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Hansjörg VeesService of Nuclear Medicine, Geneva University Hospital, CH-1211, Geneva, Switzerland.
Srinivasan Senthamizhchelvan
Raymond Miralbell
Damien C Weber
Osman Ratib
Habib Zaidi
University Hospital of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of the study is to assess the contribution of (18)F-fluoro-ethyl-tyrosine ((18)F-FET) positron emission tomography (PET) in the delineation of gross tumor volume (GTV) in patients with high-grade gliomas compared with magnetic resonance imaging (MRI) alone. MATERIALS AND

methodsThe study population consisted of 18 patients with high-grade gliomas. Seven image segmentation techniques were used to delineate (18)F-FET PET GTVs, and the results were compared to the manual MRI-derived GTV (GTV(MRI)). PET image segmentation techniques included manual delineation of contours (GTV(man)), a 2.5 standardized uptake value (SUV) cutoff (GTV(2.5)), a fixed threshold of 40% and 50% of the maximum signal intensity (GTV(40%) and GTV(50%)), signal-to-background ratio (SBR)-based adaptive thresholding (GTV(SBR)), gradient find (GTV(GF)), and region growing (GTV(RG)). Overlap analysis was also conducted to assess geographic mismatch between the GTVs delineated using the different techniques.

resultsContours defined using GTV(2.5) failed to provide successful delineation technically in three patients (18% of cases) as SUV(max) < 2.5 and clinically in 14 patients (78% of cases). Overall, the majority of GTVs defined on PET-based techniques were usually smaller than GTV(MRI) (67% of cases). Yet, PET detected frequently tumors that are not visible on MRI and added substantially tumor extension outside the GTV(MRI) in six patients (33% of cases).

conclusionsThe selection of the most appropriate (18)F-FET PET-based segmentation algorithm is crucial, since it impacts both the volume and shape of the resulting GTV. The 2.5 SUV isocontour and GF segmentation techniques performed poorly and should not be used for GTV delineation. With adequate setting, the SBR-based PET technique may add considerably to conventional MRI-guided GTV delineation.

Indexed as

Tumor BurdenAdultAgedFemaleGliomaHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedPositron-Emission TomographyReference StandardsTyrosineO-(2-fluoroethyl)tyrosineTyrosine

Identifiers

PMID18818918
OpenAlexW2139799858

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.