Measuring Total Metabolic Tumor Volume from<sup>18</sup>F-FDG PET: A Reality Check
Measuring total metabolic tumor volume (TMTV) on <sup>18</sup>F-FDG PET/CT images in clinical practice requires a fast, reliable, and easy-to-perform multilesional segmentation workflow. We conducted a field test to derive total metabolic volumes using 5 representative baseline <sup>18</sup>F-FDG PET/CT scans from patients with diffuse large B-cell lymphoma. The scans were transferred to 10 different sites or readers who used different commercially available software platforms to derive TMTV after a recently proposed benchmark workflow. Observed TMTVs were compared with reference values, and overall analysis times were reported. Our results show that TMTVs can be obtained with reasonable accuracy across readers and platforms (within 10% compared with reference benchmark values for most TMTVs) but that processing times can vary considerably depending on reader experience and the software platform. Our study showed that there is an urgent need to improve TMTV segmentation workflows in clinical practice, requiring closer collaboration between users and software vendors.
Authors
- Laurence Champion (ORCID: https://orcid.org/0000-0001-7908-5593)
- Bart de Keizer (ORCID: https://orcid.org/0000-0002-6270-9483)
- Roelf Valkema
- Cristina Mitea (ORCID: https://orcid.org/0000-0001-5885-957X)
- Fanny Orlhac (ORCID: https://orcid.org/0000-0002-5588-1867)
- Ronald Boellaard (ORCID: https://orcid.org/0000-0002-0313-5686)
- Julia E. Huijbregts (ORCID: https://orcid.org/0000-0001-9325-2343)
- Sally F. Barrington (ORCID: https://orcid.org/0000-0002-2516-5288)
- Josée M. Zijlstra (ORCID: https://orcid.org/0000-0003-1074-5922)
- Pieternella J. Lugtenburg (ORCID: https://orcid.org/0000-0002-6735-8651)
- Petra Dibbets‐Schneider (ORCID: https://orcid.org/0000-0003-0538-8270)
- Daphne Lobeek (ORCID: https://orcid.org/0000-0003-1282-0826)
- Gerben J.C. Zwezerijnen (ORCID: https://orcid.org/0000-0002-9571-9362)
- Sanne E. Wiegers (ORCID: https://orcid.org/0000-0003-3698-8121)
- Floris H. P. van Velden (ORCID: https://orcid.org/0000-0003-2859-2119)
- Irène Buvat (ORCID: https://orcid.org/0000-0002-7053-6471)
- Anne I.J. Arens (ORCID: https://orcid.org/0000-0001-7066-5372)
- Nelleke Tolboom (ORCID: https://orcid.org/0000-0002-8005-2833)
- Narinée Hovhannisyan‐Baghdasarian (ORCID: https://orcid.org/0000-0003-1573-0703)
- Filiz Çelik
Institutions
- Radboud University Nijmegen (NL)
- Inserm (FR)
- King's College London (GB)
- Utrecht University (NL)
- Leiden University Medical Center (NL)
- Maastricht University Medical Centre (NL)
- Catharina Ziekenhuis (NL)
- Erasmus MC (NL)
- Radboud University Medical Center (NL)
- University Medical Center Utrecht (NL)
- Amsterdam Neuroscience (NL)
- Hovon (NL)
- Amsterdam University Medical Centers (NL)
- Rijnstate Hospital (NL)
- Deventer Ziekenhuis (NL)
- Cancer Center Amsterdam (NL)
- Institut Curie (FR)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- Journal of Nuclear Medicine
- Published
- 2025-03-13
- DOI
- https://doi.org/10.2967/jnumed.124.269271
- Citations
- 10
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 13.60