Evidence map›Paper›PMID 41931499›Full record

ArticlePloS one2026

PRognostic and predictive potential Of multiparametric dynamic whole-body 18F-FDG PET Imaging using a Long axial field-of-view (LAFOV) system for FIRST-line chemo-immunotherapy efficacy in advanced non-small cell lung cancer: PROFIL-1 study protocol.

Margaux Geier, Karim Amrane, David Bourhis, Pierre-Yves Le Roux, Jessica Nguyen, Estelle Dhamelincourt, Renaud Descourt, Gilles Quéré, Marie Guegan, Benjamin Besse and 9 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06738680 (PRedictive Value of Multiparametric Dynamic Whole-body 18F-FDG-PET Imaging on a LAFOV System for FIRST-line Chemo-immunotherapy Efficacy in Advanced Non-small-cell Lung Cancer), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

NCT06738680 not yet recruitingnot on this map

PRedictive Value of Multiparametric Dynamic Whole-body 18F-FDG-PET Imaging on a LAFOV System for FIRST-line Chemo-immunotherapy Efficacy in Advanced Non-small-cell Lung Cancer: PROFIL-1 Study

TypeobservationalSponsorUniversity Hospital, BrestRan2025 to 2026Enrolled120ConditionsNon-Small Cell Lung CancerArmsLAFOV system (an innovative, latest-generation system) scan
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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

19 authors.

Margaux GeierUniv Brest, Inserm, UMR 1304, GETBO, Brest, France.ORCID https://orcid.org/0000-0002-4884-5825
Karim AmraneDepartment of Medical Oncology, CH Morlaix, Morlaix, France.
David BourhisUniv Brest, Inserm, UMR 1304, GETBO, Brest, France.
Pierre-Yves Le RouxUniv Brest, Inserm, UMR 1304, GETBO, Brest, France.
Jessica NguyenDepartment of Medical Oncology, Cancer & Imaging Institute, CHU La Cavale Blanche, University Hospital of Brest, Brest, France.
Estelle DhamelincourtDepartment of Medical Oncology, Cancer & Imaging Institute, CHU La Cavale Blanche, University Hospital of Brest, Brest, France.
Renaud DescourtDepartment of Medical Oncology, Cancer & Imaging Institute, CHU La Cavale Blanche, University Hospital of Brest, Brest, France.
Gilles QuéréDepartment of Medical Oncology, Cancer & Imaging Institute, CHU La Cavale Blanche, University Hospital of Brest, Brest, France.
Marie GueganDepartment of Medical Oncology, Cancer & Imaging Institute, CHU La Cavale Blanche, University Hospital of Brest, Brest, France.
Benjamin BesseDepartment of Medical Oncology, International Center for Thoracic Cancers (CICT), Gustave Roussy, Villejuif, France.
Désirée DéandreisParis-Saclay University, Paris, France.
Florent BessonDepartment of Nuclear Medicine and Molecular Imaging, Paris-Saclay University, AP-HP, CHU Bicêtre, DMU SMART IMAGING, Le Kremlin-Bicêtre, Paris, France.
Sylvain FaureLaboratoire de Mathématique d'Orsay, CNRS, Université Paris-Saclay, Orsay City, France.ORCID https://orcid.org/0000-0002-4069-0523
Nicolas KarakatsanisDepartment of Radiology, Weill Cornell Medical College, New York, New York, United States of America.
Pierre-Yves SalaunUniv Brest, Inserm, UMR 1304, GETBO, Brest, France.
Mathieu PavoineDepartment of Molecular Imaging and Theranostics, Cancer & Imaging Institute, CHU La Cavale Blanche, University Hospital of Brest, Brest, France.
Vincent BourbonneRadiation Oncology Department, University Hospital, Brest, France.
François LuciaRadiation Oncology Department, University Hospital, Brest, France.
Ronan AbgralUniv Brest, Inserm, UMR 1304, GETBO, Brest, France.ORCID https://orcid.org/0000-0002-5585-2564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRevolution of chemo-immunotherapy (CT-IO) in the first-line treatment of metastatic non-small-cell lung cancers (NSCLC) without actionable genomic alterations (AGAs) has dramatically improved prognosis, providing long response in a subset of patients. Due to the highly heterogeneous nature of the disease, most of patients do not show long term benefit. Long axial field of view positron emission tomography (LAFOV-PET) scanner is a new emerging system allowing dynamic whole-body imaging with higher sensitivity, representing unique opportunity for oncological applications. The aim of this study is to determine whether 18F-fluorodeoxyglucose positron emission (18F-FDG) LAFOV-PET derived parameters might have prognostic and predictive potential for CT-IO outcomes in NSCLC.

methodsPROFIL-1 (NCT06738680) is a multicentre, prospective single-arm biomarker pilot study investigating the prognostic and predictive potential of multiparametric 18F-FDG LAFOV-PET for first-line CT-IO efficacy in advanced NSCLC, with a planned enrolment of 120 patients at 2 French sites. Adult patients with treatment-naïve advanced non-squamous or squamous NSCLC without AGAs and eligible for first-line CT-IO will be recruited for PROFIL-1. Patients will undergo baseline LAFOV-PET before treatment (optional second dynamic LAFOV-PET after CT-IO induction). The primary objective is to evaluate the prognostic and predictive potential of a whole-body multiparametric analysis (radiomics and dynamics) derived from LAFOV-PET for first-line CT-IO efficacy, using the rate of disease progression or death at one year as the primary endpoint, assessed by investigators according to RECIST v1.1 criteria. Secondary endpoints included correlations between imaging parameters and clinico-pathological characteristics, comparison between direct Patlak and indirect Patlak reconstruction methods to determine dynamic parameters such as Ki (the net influx rate) and distribution volume (DV), number of detected tumor lesions and signal-to-noise ratio (vs. SAFOV-like imaging), objective response rate, overall survival and safety. The study opened for enrolment in January 2025. Duration of inclusions: 2 years. CLINICAL TRIAL INFORMATION: NCT06738680.

Indexed as

Carcinoma, Non-Small-Cell LungFluorodeoxyglucose F18ImmunotherapyLung NeoplasmsPositron-Emission TomographyWhole Body ImagingFemaleHumansMaleMulticenter Studies as TopicObservational Studies as TopicPilot ProjectsPrognosisProspective StudiesRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID41931499
PMCPMC13048445

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Registered trials

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.