TY - JOUR
T1 - Measuring Total Metabolic Tumor Volume from 18F-FDG PET
T2 - A Reality Check.
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
N1 - Publisher Copyright:
COPYRIGHT ß 2025 by the Society of Nuclear Medicine and Molecular Imaging.
PY - 2025/5
Y1 - 2025/5
N2 - 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.
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.
KW - TMTV
KW - field test
KW - performance
KW - total metabolic tumor volume
KW - workflow
UR - https://www.scopus.com/pages/publications/105004203047
U2 - 10.2967/jnumed.124.269271
DO - 10.2967/jnumed.124.269271
M3 - Article
C2 - 40081961
SN - 0161-5505
VL - 66
SP - 802
EP - 805
JO - Journal of nuclear medicine : official publication, Society of Nuclear Medicine
JF - Journal of nuclear medicine : official publication, Society of Nuclear Medicine
IS - 5
ER -