Evidence map›Paper›PMID 34439254›Full record

ArticleCancers2021

First Comparison between [18f]-FMISO and [18f]-Faza for Preoperative Pet Imaging of Hypoxia in Lung Cancer.

Sébastien Thureau, Nicolas Piton, Pierrick Gouel, Romain Modzelewski, Antoine Dujon, Jean-Marc Baste, Jean Melki, Philippe Rinieri, Christophe Peillon, Olivier Rastelli and 5 more

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Role of sarcopenia on survival and treatment-related toxicity in head and neck cancer: a narrative review of current evidence and future perspectives.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2023
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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

15 authors.

Sébastien ThureauDepartment of Radiation Oncology, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF-LITIS [EA (Equipe d'Accueil) 4108], 76000 Rouen, France.ORCID 0000-0001-5772-2336
Nicolas PitonDepartment of Pathology, France and Normandie University, UNIROUEN, Inserm U1245, Rouen University Hospital, 76000 Rouen, France.ORCID 0000-0001-8779-586X
Pierrick GouelDepartment of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF-LITIS [EA (Equipe d'Accueil) 4108-FR CNRS 3638], Faculty of Medicine, University of Rouen, 76000 Rouen, France.
Romain ModzelewskiDepartment of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF-LITIS [EA (Equipe d'Accueil) 4108-FR CNRS 3638], Faculty of Medicine, University of Rouen, 76000 Rouen, France.
Antoine DujonClinic of Cedre, 76000 Rouen, France.
Jean-Marc BasteUnit of General and Thoracic Surgery, Rouen University Hospital, 76000 Rouen, France.
Jean MelkiUnit of General and Thoracic Surgery, Rouen University Hospital, 76000 Rouen, France.
Philippe RinieriUnit of General and Thoracic Surgery, Rouen University Hospital, 76000 Rouen, France.
Christophe PeillonUnit of General and Thoracic Surgery, Rouen University Hospital, 76000 Rouen, France.
Olivier RastelliUnit of Clinic Research, Henri Becquerel Cancer Center, 76000 Rouen, France.
Justine LequesneUnit of Clinic Research, Henri Becquerel Cancer Center, 76000 Rouen, France.
Sébastien HapdeyDepartment of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF-LITIS [EA (Equipe d'Accueil) 4108-FR CNRS 3638], Faculty of Medicine, University of Rouen, 76000 Rouen, France.ORCID 0000-0002-3967-434X
Jean-Christophe SabourinDepartment of Pathology, France and Normandie University, UNIROUEN, Inserm U1245, Rouen University Hospital, 76000 Rouen, France.
Pierre BohnDepartment of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF-LITIS [EA (Equipe d'Accueil) 4108-FR CNRS 3638], Faculty of Medicine, University of Rouen, 76000 Rouen, France.ORCID 0000-0001-8972-9022
Pierre VeraDepartment of Nuclear Medicine, Henri Becquerel Cancer Center and Rouen University Hospital, & QuantIF-LITIS [EA (Equipe d'Accueil) 4108-FR CNRS 3638], Faculty of Medicine, University of Rouen, 76000 Rouen, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypoxic areas are typically resistant to treatment. However, the fluorine-18-fluoroazomycin-arabinoside (FAZA) and fluorine 18 misonidazole (FMISO) tracers have never been compared in non small cell lung cancer (NSCLC). This study compares the capability of 18F-FAZA PET/CT with that of 18F-FMISO PET/CT for detecting hypoxic tumour regions in early and locally advanced NSCLC patients. We prospectively evaluated patients who underwent preoperative PET scans before surgery for localised NSCLC (i.e., fluorodeoxyglucose (FDG)-PET, FMISO-PET, and FAZA-PET). The PET data of the three tracers were compared with each other and then compared to immunohistochemical analysis (GLUT-1, CAIX, LDH-5, and HIF1-Alpha) after tumour resection. Overall, 19 patients with a mean age of 68.2 ± 8 years were included. There were 18 lesions with significant uptake (i.e., SUVmax >1.4) for the F-MISO and 17 for FAZA. The mean SUVmax was 3 (±1.4) with a mean volume of 25.8 cc (±25.8) for FMISO and 2.2 (±0.7) with a mean volume of 13.06 cc (±13.76) for FAZA. The SUVmax of F-MISO was greater than that of FAZA (

Indexed as

FAZAFMISOhypoxialung cancerPET

Identifiers

PMID34439254
PMCPMC8392878

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.