Evidence map›Paper›PMID 40366076›Full record

Trial reportAmerican journal of hematology2025

Total Metabolic Tumor Volume Is a Strong Independent Prognostic Factor in Follicular Lymphomas: Results From a Sub-Study of the FOLL12 Trial.

Rexhep Durmo, Stephane Chauvie, Carla Minoia, Fabrizio Bergesio, Federico Fallanca, Simona Peano, Luigi Marcheselli, Antonella Anastasia, Carola Boccomini, Paolo Corradini and 23 more

Abstract readClinical Trial, Phase IIIMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in American journal of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Prognostic value of lesion dissemination onQuantitative imaging in medicine and surgery · 2026
    Article
  2. Article
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

33 authors.

Rexhep DurmoNuclear Medicine, Azienda USL IRCCS of Reggio Emilia, Reggio Emilia, Italy.ORCID 0000-0001-9210-666X
Stephane ChauvieSanta Croce e Carle Hospital, Medical Physics, Cuneo, Italy.ORCID 0000-0003-4394-5031
Carla MinoiaHematology Unit, IRCCS Istituto Tumori 'Giovanni Paolo II' Bari, Bari, Italy.
Fabrizio BergesioSanta Croce e Carle Hospital, Medical Physics, Cuneo, Italy.
Federico FallancaIRCCS San Raffaele Scientific Institute, Nuclear Medicine, Milan, Italy.
Simona PeanoNuclear Medicine Division, S. Croce e Carle Hospital, Cuneo, Italy.
Luigi MarcheselliFondazione Italiana Linfomi, Modena, Italy.
Antonella AnastasiaDepartment of Hematology, ASST Spedali Civili, Brescia, Italy.
Carola BoccominiSC Ematologia, Dipartimento di Ematologia Ed Oncologia, AOU Città Della Salute e Della Scienza di Torino, Torino, Italy.
Paolo CorradiniEmatologia, Istituto Nazionale Tumori IRCCS, Milano, Italy.
Jacopo OlivieriEmatologia, Az Osp di Udine, Udine, Italy.
Luca ArcainiDepartment of Molecular Medicine, University of Pavia & Division of Hematology, Fondazione IRCCS Policlinico san Matteo, Pavia, Italy.
Federica CavalloDipartimento di Biotecnologie Molecolari e Scienze per la Salute Università di Torino, Torino, Italy.
Adalberto IbaticiEmatologia e Terapie Cellulari, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Luca NassiEmatologia, Az Ospedaliera Careggi, Firenze, Italy.
Vittoria TarantinoEmatologia, Ospedale Villa Sofia, Palermo, Italy.
Antonello PintoHematology-Oncology and Stem Cell Transplantation Unit, Istituto Nazionale Tumori, IRCCS-Fondazione 'G. Pascale', Naples, Italy.ORCID 0000-0002-9425-9026
Caterina StelitanoHematology, Grande Ospedale Metropolitano Bianchi-Melacrino-Morelli, Reggio Calabria, Italy.
Alessandro PulsoniHematology, Università Sapienza, Roma, Italy.ORCID 0000-0001-7429-8004
Francesca RicciEmatologia, Humanitas Cancer Center, Rozzano, Italy.
Salvatrice MancusoDepartment PROMISE, University of Palermo, Palermo, Italy.
Emanuele CenciniUOC Ematologia, Azienda Ospedaliera Universitaria Senese & University of Siena, Siena, Italy.
Nicola Di RenzoEmatologia, Azienda Ospedaliera Vito Fazzi, Lecce, Italy.
Clara MannarellaEmatologia, Matera, Italy.
Angelo PalmasEmatologia e Trapianto di Midollo Osseo Ospedale 'San Francesco' Nuoro, Matera, Italy.
Pierluigi ZinzaniIRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Seràgnoli, Italy.ORCID 0000-0002-2112-2651
Caterina BocciU.O.S.D Ematologia Con Autotrapianto Cellule Staminali Ospedale di Civitanova Marche, Civitanova Marche, Italy.
Francesca RossiHematology, Policlinico di Milano, Milano, Italy.
Angelo Michele CarellaEmatologia, Casa Sollievo Della Sofferenza, Foggia, Italy.
Massimo FedericoDepartment Chimomo, Università di Modena and Reggio Emilia, Modena, Italy.
Annibale VersariNuclear Medicine, Azienda USL IRCCS of Reggio Emilia, Reggio Emilia, Italy.
Luca GuerraNuclear Medicine Unit, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy.
Stefano LuminariDepartment Chimomo, Università di Modena and Reggio Emilia, Modena, Italy.

Funding

Fondazione Italiana Linfomi (FIL)
6 · The paper itself

Abstract

Discordant results have been generated regarding the prognostic role of Total Metabolic Tumor Volume (TMTV) in Follicular Lymphoma (FL). The use of prospective data and the adoption of the newly defined standardized SUV4 method for calculating TMTV may generate stronger evidence. We conducted a pre-planned post hoc analysis of the prospective multicenter randomized phase III FOLL12 trial for newly diagnosed high tumor burden FL (grade 1-3a), which mandated baseline staging with PET. Baseline PET/CT scans were reviewed centrally, and TMTV was calculated using the fixed threshold of SUV4. Kaplan-Meier and Cox regression were used for survival analysis. The primary study endpoint was Progression free Survival (PFS). A total of 689 FL patients were available for TMTV definition. Median TMTV was 161 mL (IQR 50 to 388 mL) and the best cutoff value was set at 180 mL. Patients with high TMTV had a significantly lower 5-year PFS compared to those with low TMTV: 59% (95% CI, 53-65%) vs. 74% (95% CI, 69-78%) HR 1.61 (95% CI, 1.24-2.09). Prognostic role of TMTV was independent of study arm, chemotherapy regimen, and FLIPI2. Combined with FLIPI-2, we identified three groups with different 5-yr PFS rates, with the lowest rates (51%) for patients with high TMTV and high FLIPI2. Combined TMTV and FLIPI model was also prognostic to predict the risk of early progression and of death. Applying the SUV4 standard method pre-treatment TMTV is confirmed as a strong and independent predictor of PFS in FL patients. Integrating TMTV with FLIPI-2 improves risk assessment.

Indexed as

Lymphoma, FollicularTumor BurdenAdultAgedFemaleHumansMaleMiddle AgedPositron Emission Tomography Computed TomographyPrognosisProgression-Free SurvivalProspective StudiesFOLL12 trialfollicular lymphomaPET/CTprognosistotal metabolic tumor volume

Identifiers

PMID40366076
PMCPMC12146809

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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.