RT Journal Article
SR Electronic
T1 Measuring Total Metabolic Tumor Volume from <sup>18</sup>F-FDG PET: A Reality Check
JF Journal of Nuclear Medicine
JO J Nucl Med
FD Society of Nuclear Medicine
SP 802
OP 805
DO 10.2967/jnumed.124.269271
VO 66
IS 5
A1 Boellaard, Ronald
A1 Zwezerijnen, Gerben J.C.
A1 Buvat, Irène
A1 Champion, Laurence
A1 Hovhannisyan-Baghdasarian, Narinée
A1 Orlhac, Fanny
A1 Arens, Anne I.J.
A1 Lobeek, Daphne
A1 Celik, Filiz
A1 Mitea, Cristina
A1 Huijbregts, Julia E.
A1 Tolboom, Nelleke
A1 de Keizer, Bart
A1 Valkema, Roelf
A1 van Velden, Floris H.P.
A1 Dibbets-Schneider, Petra
A1 Wiegers, Sanne E.
A1 Lugtenburg, Pieternella J.
A1 Barrington, Sally F.
A1 Zijlstra, Josée M.
YR 2025
UL http://jnm.snmjournals.org/content/66/5/802.abstract
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.