Evidence map›Paper›PMID 41699280›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

Prognostic value of TMTV and Dmax calculated from

Karim Amrane, Bastien Cabarrou, Coline Le Meur, David Bourhis, Olivier Pradier, Laurent Misery, Delphine Legoupil, Maxime Etienne, Georges-Philippe Fontaine, Pierre-Yves Salaun and 3 more

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Article in European journal of nuclear medicine and molecular imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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

13 authors.

Karim AmraneDepartement d'Innovation Thérapeutique Et Des Essais Précoces (DITEP), Université Paris Saclay, Gustave Roussy, Villejuif, France. karim.amrane@gustaveroussy.fr.ORCID 0000-0003-1357-1120
Bastien CabarrouUniversity of Toulouse, Oncopole Claudius Regaud IUCT-O, Biostatistics & Health Data Science Unit, Toulouse, France.
Coline Le MeurDepartment of Radiotherapy, University Hospital of Brest, Brest, France.
David BourhisDepartment of Nuclear Medicine, University Hospital of Brest, Brest, France.
Olivier PradierDepartment of Radiotherapy, University Hospital of Brest, Brest, France.
Laurent MiseryDepartment of Dermatology, University Hospital of Brest, Brest, France.
Delphine LegoupilDepartment of Dermatology, University Hospital of Brest, Brest, France.
Maxime EtienneDepartment of Dermatology Centre Hospitalier de Cornouaille, Quimper, France.
Georges-Philippe FontaineDepartment of Nuclear Medicine Centre Hospitalier de Cornouaille, Centre Georges Charpak -Médecine Nucléaire, Quimper, France.
Pierre-Yves SalaunDepartment of Nuclear Medicine, University Hospital of Brest, Brest, France.
Irène BuvatInstitut Curie, Inserm LITO, U1288, Orsay, France.
Fanny OrlhacInstitut Curie, Inserm LITO, U1288, Orsay, France.
Ronan AbgralDepartment of Nuclear Medicine, University Hospital of Brest, Brest, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCutaneous melanoma (CM) is an aggressive malignancy with rising incidence. Immune checkpoint blockades (ICBs), particularly anti-PD-1 therapies, have improved survival in metastatic CM. However, many patients show primary resistance or develop progression after initial benefit. Early identification of patients likely to benefit remains a clinical challenge. Total Metabolic Tumor Volume (TMTV) and the maximum distance between two lesions (Dmax), derived from baseline [18F]FDG-PET/CT, have shown prognostic relevance in other cancers. This study evaluates their prognostic value in metastatic CM.

methodsThis retrospective study included 143 patients with metastatic CM treated with ICBs (2016-2023) across two centers. Tumor lesions were segmented using PERCIST procedure on baseline (PET0) and early follow-up (PET1, 9-12 weeks post-treatment) [18F]FDG-PET/CT. TMTV, Dmax, and their changes (ΔTMTV, ΔDmax) were calculated. Associations with progression-free survival (PFS) and overall survival (OS) were assessed, including in multivariable analyses.

resultsElevated Dmax (above median) at PET0 was independently linked to poorer PFS (HR = 1.67; 95% confidence interval (CI): 1.03-2.71; p = 0.036) and OS (HR = 2.03; 95% CI: 1.20-3.43; p = 0.009). Stable or increased TMTV and Dmax between PET0 and PET1 (ΔTMTV and ΔDmax ≥ 0%) correlated with significantly worse outcomes. Using PET0 TMTV and Dmax, as well as ΔTMTV and ΔDmax considered separately, allowed stratification into three risk groups with distinct prognoses.

conclusionBaseline TMTV and Dmax, along with their early changes, are strong prognostic markers in metastatic CM treated with ICBs. Their integration into clinical practice may enhance early risk stratification and inform personalized therapeutic strategies.

Indexed as

Fluorodeoxyglucose F18Immune Checkpoint InhibitorsMelanomaPositron Emission Tomography Computed TomographySkin NeoplasmsTumor BurdenAgedAged, 80 and overCutaneous Malignant MelanomaFemaleHumansMaleMiddle AgedNeoplasm MetastasisPrognosisRadiopharmaceuticalsFluorodeoxyglucose F18Immune Checkpoint InhibitorsRadiopharmaceuticalsDmaxFDG-PET/CTImmune checkpoint blockadeMelanomaTMTV

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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 Socratic graph.