PT  - JOURNAL ARTICLE
AU  - Boellaard, Ronald
AU  - Zwezerijnen, Gerben J.C.
AU  - Buvat, Irène
AU  - Champion, Laurence
AU  - Hovhannisyan-Baghdasarian, Narinée
AU  - Orlhac, Fanny
AU  - Arens, Anne I.J.
AU  - Lobeek, Daphne
AU  - Celik, Filiz
AU  - Mitea, Cristina
AU  - Huijbregts, Julia E.
AU  - Tolboom, Nelleke
AU  - de Keizer, Bart
AU  - Valkema, Roelf
AU  - van Velden, Floris H.P.
AU  - Dibbets-Schneider, Petra
AU  - Wiegers, Sanne E.
AU  - Lugtenburg, Pieternella J.
AU  - Barrington, Sally F.
AU  - Zijlstra, Josée M.
TI  - Measuring Total Metabolic Tumor Volume from <sup>18</sup>F-FDG PET: A Reality Check
AID  - 10.2967/jnumed.124.269271
DP  - 2025 May 01
TA  - Journal of Nuclear Medicine
PG  - 802--805
VI  - 66
IP  - 5
4099  - http://jnm.snmjournals.org/content/66/5/802.short
4100  - http://jnm.snmjournals.org/content/66/5/802.full
SO  - J Nucl Med2025 May 01; 66
AB  - Measuring total metabolic tumor volume (TMTV) on 18F-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 18F-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.