Evidence map›Paper›PMID 34109007›Full record

ArticleNuclear medicine and molecular imaging2021

Quantification of Hypoxia in Human Glioblastoma using PET with 18F-FMISO.

Redha-Alla Abdo, Frédéric Lamare, Philippe Fernandez, M'hamed Bentourkia

Open access · greenAbstract read
In one paragraph

Article in 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 5 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

4 authors at 2 institutions in 2 countries.

Redha-Alla AbdoDepartment of Nuclear Medicine and Radiobiology, University of Sherbrooke, 3001, 12th Avenue North, Sherbrooke, QC J1H 5N4 Canada.ORCID 0000-0003-3973-4055
Frédéric LamareService de Médecine Nucléaire, Université de Bordeaux-II, EPHE, Avenue du Haut-Lévêque, 33604 Pessac cedex, Bordeaux, France.
Philippe FernandezService de Médecine Nucléaire, Université de Bordeaux-II, EPHE, Avenue du Haut-Lévêque, 33604 Pessac cedex, Bordeaux, France.
M'hamed BentourkiaDepartment of Nuclear Medicine and Radiobiology, University of Sherbrooke, 3001, 12th Avenue North, Sherbrooke, QC J1H 5N4 Canada.
Université de Bordeaux · FRUniversité de Sherbrooke · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to investigate the results of compartmental modeling (CM) and spectral analysis (SA) generated with dynamic 18F-FMISO tumor images. Besides, the regular tissue-to-blood ratio (TBR) images were derived and compared with the dynamic models.

methodsNine subjects with glioblastoma underwent PET/CT imaging with the 18F-FMISO tracer. The protocol for PET imaging began with 15 min in dynamic mode and two 10-min duration static images at 120 min and 180 min post-injection. We used the two-tissue compartmental model for CM at the voxel basis, and we conducted SA to estimate the 18F-FMISO accumulation within each voxel. We also investigated the usual tumor-to-blood ratio (TBR) for comparison.

resultsThe images of the tumor showed different patterns of hypoxia and necrosis as a function of PET scanning times, while CM and SA methods based on dynamic PET imaging equally located tumor hypoxia. The mean correlation of K

conclusionBased on these results, the combination of CM and SA approaches was found more appropriate in generating voxel-based hypoxia images.

Indexed as

Compartmental modelingFMISOHypoxiaSpectral analysis

Identifiers

PMID34109007
PMCPMC8140175
OpenAlexW3152240467

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.