Evidence map›Paper›PMID 40108044›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2025

Prognostic impact of metabolic tumor volume using the SUV4.0 segmentation threshold in 1,960 lymphoma patients from prospective LYSA trials.

Solène Malmon, Mad-Helenie Elsensohn, Catherine Thieblemont, Franck Morschhauser, Olivier Casasnovas, Marc André, Steven Le Gouill, Yassine Al Tabaa, Paul Bland Durand, Clement Bailly and 6 more

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Article in European journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

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

3 citing papers in PubMed.

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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

16 authors.

Solène MalmonPixilib SAS, Toulouse, France.
Mad-Helenie ElsensohnBiostatistics Department, LYSARC, Lyon-Sud Hospital, Pierre-Bénite, France.
Catherine ThieblemontAPHP, Hôpital Saint-Louis, Hemato-Oncology, Paris, France.
Franck MorschhauserDepartment of Hematology, Univ. Lille, CHU Lille, ULR 7365 - GRITA - Groupe de Recherche Sur les Formes Injectables et les Technologies Associées, Lille, F-59000, France.
Olivier CasasnovasDepartment of Hematology, CHU Dijon and INSERM UMR1231, Dijon, France.
Marc AndréDepartment of Hematology, CHU UCL Namur, Université Catholique de Louvain, Yvoir, Belgium.
Steven Le GouillService d'hématologie, Institut Curie, Saint Cloud, France.
Yassine Al TabaaScintidoc Nuclear Medicine Center, Clinique Clémentville, Montpellier, France.
Paul Bland DurandDepartment of Nuclear Medicine, CHU H. Mondor, U-PEC, AP-HP, Créteil, France.
Clement BaillyNuclear Medicine Department, Nantes University Hospital, 1, Place Alexis Ricordeau, Nantes, 44000, France.
Veronique EdelineDepartment of Nuclear Medicine, Hôpital La Pitié Salpetrière, Paris, France.
Lavinia VijaNuclear Medicine Department, Oncopole Claudius Regaud, Toulouse, France.
Laetitia VercellinoNuclear Medicine Department, Hôpital Saint-Louis, Assistance Publique Hôpitaux de Paris, Paris, France.
Romain RicciLYSARC, Centre Hospitalier Lyon-Sud, 165 Chemin du Grand Revoyet Bâtiment 2D, Pierre-Bénite, 69310, France.
Salim Kanoun *Centre de Recherche Clinique de Toulouse, Team 9, Toulouse, France.
Anne-Ségolène Cottereau *Nuclear Medicine Department, AP-HP, Hôpital Cochin, Paris, France. annesegolene.cottereau@aphp.fr.ORCID 0000-0002-4805-4564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study compared the prognostic value of total metabolic tumor volume (TMTV) in lymphoma measured with the recently proposed SUV4.0 segmentation threshold versus the 41% SUVmax across LYSA trials and its impact on intensity and dissemination PET features.

methodsA total of 1960 baseline PET/CT scans of Diffuse Large B cell lymphoma (DLBCL), follicular lymphoma (FL) and Hodgkin lymphoma (HL) patients were collected. After a semi-automatic preselection of region of interest, two different segmentation threshold were applied: 41% SUVmax (TMTV

resultsThe correlation between TMTV

conclusionTMTV measured with the SUV4.0 threshold provides a comparable PFS prediction than the 41%SUVmax method supporting its routine adoption particularly in the diffuse large B cell lymphoma subtype.

Indexed as

Image Processing, Computer-AssistedLymphomaPositron Emission Tomography Computed TomographyTumor BurdenAdultAgedFemaleHumansMaleMiddle AgedPrognosisProspective StudiesDLBCLFLHLLymphomaprognostic factorTMTV

Identifiers

PMID40108044

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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.