BACKGROUND AND PURPOSE: We evaluate the contribution of (18)F-choline PET/CT in the delineation of gross tumour volume (GTV) in local recurrent prostate cancer after initial irradiation using various PET image segmentation techniques. MATERIALS AND METHODS: Seventeen patients with local-only recurrent prostate cancer (median=5.7 years) after initial irradiation were included in the study. Rebiopsies were performed in 10 patients that confirmed the local recurrence. Following injection of 300 MBq of (18)F-fluorocholine, dynamic PET frames (3 min each) were reconstructed from the list-mode acquisition. Five PET image segmentation techniques were used to delineate the (18)F-choline-based GTVs. These included manual delineation of contours (GTV(man)) by two teams consisting of a radiation oncologist and a nuclear medicine physician each, a fixed threshold of 40% and 50% of the maximum signal intensity (GTV(40%) and GTV(50%)), signal-to-background ratio-based adaptive thresholding (GTV(SBR)), and a region growing (GTV(RG)) algorithm. Geographic mismatches between the GTVs were also assessed using overlap analysis. RESULTS: Inter-observer variability for manual delineation of GTVs was high but not statistically significant (p=0.459). In addition, the volumes and shapes of GTVs delineated using semi-automated techniques were significantly higher than those of GTVs defined manually. CONCLUSIONS: Semi-automated segmentation techniques for (18)F-choline PET-guided GTV delineation resulted in substantially higher GTVs compared to manual delineation and might replace the latter for determination of recurrent prostate cancer for partial prostate re-irradiation. The selection of the most appropriate segmentation algorithm still needs to be determined.
BACKGROUND AND PURPOSE: We evaluate the contribution of (18)F-choline PET/CT in the delineation of gross tumour volume (GTV) in local recurrent prostate cancer after initial irradiation using various PET image segmentation techniques. MATERIALS AND METHODS: Seventeen patients with local-only recurrent prostate cancer (median=5.7 years) after initial irradiation were included in the study. Rebiopsies were performed in 10 patients that confirmed the local recurrence. Following injection of 300 MBq of (18)F-fluorocholine, dynamic PET frames (3 min each) were reconstructed from the list-mode acquisition. Five PET image segmentation techniques were used to delineate the (18)F-choline-based GTVs. These included manual delineation of contours (GTV(man)) by two teams consisting of a radiation oncologist and a nuclear medicine physician each, a fixed threshold of 40% and 50% of the maximum signal intensity (GTV(40%) and GTV(50%)), signal-to-background ratio-based adaptive thresholding (GTV(SBR)), and a region growing (GTV(RG)) algorithm. Geographic mismatches between the GTVs were also assessed using overlap analysis. RESULTS: Inter-observer variability for manual delineation of GTVs was high but not statistically significant (p=0.459). In addition, the volumes and shapes of GTVs delineated using semi-automated techniques were significantly higher than those of GTVs defined manually. CONCLUSIONS: Semi-automated segmentation techniques for (18)F-choline PET-guided GTV delineation resulted in substantially higher GTVs compared to manual delineation and might replace the latter for determination of recurrent prostate cancer for partial prostate re-irradiation. The selection of the most appropriate segmentation algorithm still needs to be determined.
Authors: Aurélien Wahart; Jean-Baptiste Guy; Alexis Vallard; Benjamin Geissler; Majed Ben Mrad; Alexander T Falk; Nathalie Prevot; Guy de Laroche; Chloé Rancoule; Cyrus Chargari; Nicolas Magné Journal: Br J Radiol Date: 2015-12-09 Impact factor: 3.039
Authors: S M Schwarzenböck; J Kurth; Ch Gocke; T Kuhnt; G Hildebrandt; B J Krause Journal: Eur J Nucl Med Mol Imaging Date: 2013-04-11 Impact factor: 9.236
Authors: Giovanni Luca Gravina; Vincenzo Tombolini; Mario Di Staso; Pietro Franzese; Pierluigi Bonfili; Antonio Gennarelli; Leda Di Nicola; Carlo Masciocchi; Ernesto Di Cesare Journal: Eur Radiol Date: 2012-07-14 Impact factor: 5.315
Authors: Metha Maenhout; Max Peters; Marco van Vulpen; Marinus A Moerland; Richard P Meijer; Maurice A A J van den Bosch; Paul L Nguyen; Steven J Frank; Jochem R N van der Voort van Zyp Journal: Technol Cancer Res Treat Date: 2017-12-05