Bart Neyns, Etienne Chatelut, Peggy Gandia, Johnny Duerinck, Didier Concordet, Johannes Heemskerk, Mark De Ridder, Hendrik Everaert, Johan De Mey, Anne Vanbinst, Cyril Jaudet, ToxAlim (ToxAlim), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole d'Ingénieurs de Purpan (INPT - EI Purpan), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA), Centre de Recherches en Cancérologie de Toulouse (CRCT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Department of Nuclear Medicine, National Institute of Neurosurgery, Department of Radioloy, Universitair Ziekenhuis Brussel, Department of Neurosurgery, Institut of Clinical Medicine, Department of Medical oncology, Harvard Medical School [Boston] (HMS)-Dana-Farber Cancer Institute [Boston], Department of Radiotherapy, Centre Val d'Aurelle, Institut Claudius Regaud, Dana-Farber Cancer Institute [Boston]-Harvard Medical School [Boston] (HMS), Radiation Therapy, Medical Imaging, Medical Imaging and Physical Sciences, Supporting clinical sciences, Faculty of Medicine and Pharmacy, Translational Imaging Research Alliance, Body Composition and Morphology, Laboratory of Molecullar and Cellular Therapy, Laboratory of Molecular and Medical Oncology, Clinical sciences, Translational Radiation Oncology and Physics, Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)
BACKGROUND AND AIMS: 18F-fluoro-ethyl-tyrosine (FET) is a radiopharmaceutical used in positron emission tomography (PET)-computed tomography in patients with glioma. We propose an original approach combining a radiotracer-pharmacokinetic exploration performed at the voxel level (three-dimensional pixel) and voxel classification to identify tumor tissue. Our methodology was validated using the standard FET-PET approach and magnetic resonance imaging (MRI) data acquired according to the current clinical practices. METHODS: FET-PET and MRI data were retrospectively analyzed in ten patients presenting with progressive high-grade glioma. For FET-PET exploration, radioactivity acquisition started 15 min after radiotracer injection, and was measured each 5 min during 40 min. The tissue segmentation relies on population pharmacokinetic modeling with dependent individuals (voxels). This model can be approximated by a linear mixed-effects model. The tumor volumes estimated by our approach were compared with those determined with the current clinical techniques, FET-PET standard approach (i.e., a cumulated value of FET signal is computed during a time interval) and MRI sequences (T1 and T2/fluid-attenuated inversion recovery [FLAIR]), used as references. The T1 sequence is useful to identify highly vascular tumor and necrotic tissues, while the T2/FLAIR sequence is useful to isolate infiltration and edema tissue located around the tumor. RESULTS: With our kinetic approach, the volumes of tumor tissue were larger than the tissues identified by the standard FET-PET and MRI T1, while they were smaller than those determined with MRI T2/FLAIR. CONCLUSION: Our results revealed the presence of suspected tumor voxels not identified by the standard PET approach.