Evidence map›Paper›PMID 29460024›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2018

Defining the optimal method for measuring baseline metabolic tumour volume in diffuse large B cell lymphoma.

Hajira Ilyas, N George Mikhaeel, Joel T Dunn, Fareen Rahman, Henrik Møller, Daniel Smith, Sally F Barrington

Abstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 2 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

82 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The prognostic utility ofFrontiers in immunology · 2024
    Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. 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
  7. Article
  8. Article
  9. Article
  10. Article
  11. Integration of [Leukemia · 2025
    Article
  12. Article
  13. The predictive power of baseline metabolic and volumetric [European journal of radiology open · 2025
    Article
  14. Article
  15. Utility ofAnnals of nuclear medicine · 2025
    Article
  16. Radiomics based onQuantitative imaging in medicine and surgery · 2025
    Article
  17. Article
  18. Article
  19. International Benchmark for Total Metabolic Tumor Volume Measurement in BaselineJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024
    Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Hajira IlyasDepartment of Nuclear Medicine, Guy's and St Thomas' NHS Foundation Trust, London, UK.
N George MikhaeelDepartment of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Joel T DunnKings College London and Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, UK.
Fareen RahmanDepartment of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Henrik MøllerDepartment of Cancer Epidemiology and Population Health, King's College London, King's Health Partners, London, UK.
Daniel SmithDepartment of Clinical Oncology, Guy's and St Thomas' NHS Foundation Trust, London, UK.
Sally F BarringtonKings College London and Guy's and St Thomas' PET Centre, School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, UK. sally.barrington@kcl.ac.uk.ORCID 0000-0002-2516-5288

Funding

Department of Health RP-2016-07-001
6 · The paper itself

Abstract

purposeMetabolic tumour volume (MTV) is a promising prognostic indicator in diffuse large B cell lymphoma (DLBCL). Optimal thresholds to divide patients into 'low' versus 'high' MTV groups depend on clinical characteristics and the measurement method. The aim of this study was to compare in consecutive unselected patients with DLBCL, different software algorithms and published methods of MTV measurement using FDG PET.

methodPretreatment MTV was measured on 147 patients treated at Guy's and St Thomas' Hospital. We compared 3 methods: SUV ≥2.5, SUV ≥41% of maximum SUV and SUV ≥ mean liver uptake (PERCIST) and compared 2 software programs for measuring SUV ≥2.5; in-house 'PETTRA' software and Hermes commercial software.

resultsThere was strong correlation between MTV using the 4 methods, although derived thresholds were very different for the 41% method. Optimal cut-offs for predicting PFS ranged from 166-400cm

conclusionAll methods predicted PFS and OS with similar accuracy, but the derived cut-off separating good from poor prognosis varied markedly depending on the method. The choice of the optimal method should rely primarily on prognostic value, but for clinical use needs to take account of ease of use and reproducibility. In this study, all methods predicted prognosis, but SUV ≥ 2.5 had the best inter-observer agreement and was easiest to apply.

Indexed as

Positron Emission Tomography Computed TomographyTumor BurdenFluorodeoxyglucose F18HumansLymphoma, Large B-Cell, DiffusePositron-Emission TomographyPrognosisReproducibility of ResultsRetrospective StudiesTomography, X-Ray ComputedFluorodeoxyglucose F18DiagnosisImagingLymphomaPositron-emission tomography

Identifiers

PMID29460024
PMCPMC5953976

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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.