Evidence map›Paper›PMID 26473950›Full record

Trial reportPloS one2015

Influence of Software Tool and Methodological Aspects of Total Metabolic Tumor Volume Calculation on Baseline [18F]FDG PET to Predict Survival in Hodgkin Lymphoma.

Salim Kanoun, Ilan Tal, Alina Berriolo-Riedinger, Cédric Rossi, Jean-Marc Riedinger, Jean-Marc Vrigneaud, Louis Legrand, Olivier Humbert, Olivier Casasnovas, François Brunotte and 1 more

Abstract readClinical Trial
In one paragraph

Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 4 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

65 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Validation of an AI Method for Automated Lymphoma Metabolic Tumor Volume Segmentation Using a Public Benchmark PET/CT Dataset.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  11. Article
  12. Results From First-in-Human Phase I Study of a Novel CD19-1XX Chimeric Antigen Receptor With Calibrated Signaling in Large B-Cell Lymphoma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Article
  13. Article
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  15. Metabolic Tumor Volume Response after Bridging Therapy Determines Chimeric Antigen Receptor T-Cell Outcomes in Large B-Cell Lymphoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
    Article
  16. International Benchmark for Total Metabolic Tumor Volume Measurement in BaselineJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  17. Article
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

11 authors.

Salim KanounDepartment of Nuclear Medicine, Centre Georges-François Leclerc, Dijon, France; Le2i UMR CNRS 6306, Dijon, France; MRI Unit, Centre Hospitalier Régional Universitaire, Hôpital Le Bocage, Dijon, France.
Ilan TalBeth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Alina Berriolo-RiedingerDepartment of Nuclear Medicine, Centre Georges-François Leclerc, Dijon, France.
Cédric RossiDepartment of Clinical Hematology, Centre Hospitalier Régional Universitaire, Hôpital Le Bocage, Dijon, France.
Jean-Marc RiedingerDepartment of Nuclear Medicine, Centre Georges-François Leclerc, Dijon, France.
Jean-Marc VrigneaudDepartment of Nuclear Medicine, Centre Georges-François Leclerc, Dijon, France.
Louis LegrandLe2i UMR CNRS 6306, Dijon, France.
Olivier HumbertDepartment of Nuclear Medicine, Centre Georges-François Leclerc, Dijon, France; Le2i UMR CNRS 6306, Dijon, France.
Olivier CasasnovasDepartment of Clinical Hematology, Centre Hospitalier Régional Universitaire, Hôpital Le Bocage, Dijon, France; Inserm U866, Labex team, Faculté de Médecine, Université de Bourgogne, Dijon, France.
François BrunotteDepartment of Nuclear Medicine, Centre Georges-François Leclerc, Dijon, France; Le2i UMR CNRS 6306, Dijon, France; MRI Unit, Centre Hospitalier Régional Universitaire, Hôpital Le Bocage, Dijon, France.
Alexandre CochetDepartment of Nuclear Medicine, Centre Georges-François Leclerc, Dijon, France; Le2i UMR CNRS 6306, Dijon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the respective influence of software tool and total metabolic tumor volume (TMTV0) calculation method on prognostic stratification of baseline 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography ([18F]FDG-PET) in newly diagnosed Hodgkin lymphoma (HL).

methods59 patients with newly diagnosed HL were retrospectively included. [18F]FDG-PET was performed before any treatment. Four sets of TMTV0 were calculated with Beth Israel (BI) software: based on an absolute threshold selecting voxel with standardized uptake value (SUV) >2.5 (TMTV02.5), applying a per-lesion threshold of 41% of the SUV max (TMTV041) and using a per-patient adapted threshold based on SUV max of the liver (>125% and >140% of SUV max of the liver background; TMTV0125 and TMTV0140). TMTV041 was also determined with commercial software for comparison of software tools. ROC curves were used to determine the optimal threshold for each TMTV0 to predict treatment failure.

resultsMedian follow-up was 39 months. There was an excellent correlation between TMTV041 determined with BI and with the commercial software (r = 0.96, p<0.0001). The median TMTV0 value for TMTV041, TMTV02.5, TMTV0125 and TMTV0140 were respectively 160 (used as reference), 210 ([28;154] p = 0.005), 183 ([-4;114] p = 0.06) and 143 ml ([-58;64] p = 0.9). The respective optimal TMTV0 threshold and area under curve (AUC) for prediction of progression free survival (PFS) were respectively: 313 ml and 0.70, 432 ml and 0.68, 450 ml and 0.68, 330 ml and 0.68. There was no significant difference between ROC curves. High TMTV0 value was predictive of poor PFS in all methodologies: 4-years PFS was 83% vs 42% (p = 0.006) for TMTV02.5, 83% vs 41% (p = 0.003) for TMTV041, 85% vs 40% (p<0.001) for TMTV0125 and 83% vs 42% (p = 0.004) for TMTV0140.

conclusionIn newly diagnosed HL, baseline metabolic tumor volume values were significantly influenced by the choice of the method used for determination of volume. However, no significant differences were found in term of prognosis.

Indexed as

Hodgkin DiseasePositron-Emission TomographySoftwareAdolescentAdultAgedDisease-Free SurvivalFemaleFollow-Up StudiesGlucose-6-PhosphateHumansImage Processing, Computer-AssistedMaleMiddle AgedPredictive Value of TestsRadiography2-fluoro-2-deoxyglucose-6-phosphateGlucose-6-Phosphate

Identifiers

PMID26473950
PMCPMC4608733

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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.