PURPOSE: The aim of this study was to compare various acquisition and processing protocols for noninvasive glioma grading using either static or dynamic (18)F-FDopa PET. METHODS: Dynamic studies were performed in 33 patients. Based on histopathological analysis, 18 patients had a high-grade (HG) tumor and 15 patients had a low-grade (LG) tumor. For static imaging, SUV(mean) and SUV(max) were calculated for different acquisition time ranges after injection. For dynamic imaging, the transport rate constant k1 was calculated according to a compartmental kinetic analysis using an image-derived input function. RESULTS: With the use of a 5-minute static imaging protocol starting at 38 minutes after injection, newly diagnosed HG tumors could be distinguished from LG tumors with a sensitivity of 70% and a specificity of 90% with a threshold of SUV(mean) of 2.5. In recurrent tumors, a sensitivity of 100% and a specificity of 80% for identifying HG tumors were obtained with a threshold set to 1.8. Dynamic imaging only slightly, but nonsignificantly, improved differential diagnosis. CONCLUSIONS: Static and dynamic imaging without blood sampling can discriminate between LG and HG for both newly diagnosed and recurrent gliomas. In dynamic imaging, excellent discrimination was obtained by considering the transport rate constant k1 of tumors. In static imaging, the best discrimination based on SUV was obtained for SUV(mean) calculated from a 5-minute acquisition started at 38 minutes after injection.
PURPOSE: The aim of this study was to compare various acquisition and processing protocols for noninvasive glioma grading using either static or dynamic (18)F-FDopa PET. METHODS: Dynamic studies were performed in 33 patients. Based on histopathological analysis, 18 patients had a high-grade (HG) tumor and 15 patients had a low-grade (LG) tumor. For static imaging, SUV(mean) and SUV(max) were calculated for different acquisition time ranges after injection. For dynamic imaging, the transport rate constant k1 was calculated according to a compartmental kinetic analysis using an image-derived input function. RESULTS: With the use of a 5-minute static imaging protocol starting at 38 minutes after injection, newly diagnosed HG tumors could be distinguished from LG tumors with a sensitivity of 70% and a specificity of 90% with a threshold of SUV(mean) of 2.5. In recurrent tumors, a sensitivity of 100% and a specificity of 80% for identifying HG tumors were obtained with a threshold set to 1.8. Dynamic imaging only slightly, but nonsignificantly, improved differential diagnosis. CONCLUSIONS: Static and dynamic imaging without blood sampling can discriminate between LG and HG for both newly diagnosed and recurrent gliomas. In dynamic imaging, excellent discrimination was obtained by considering the transport rate constant k1 of tumors. In static imaging, the best discrimination based on SUV was obtained for SUV(mean) calculated from a 5-minute acquisition started at 38 minutes after injection.
Authors: Nathalie L Albert; Michael Weller; Bogdana Suchorska; Norbert Galldiks; Riccardo Soffietti; Michelle M Kim; Christian la Fougère; Whitney Pope; Ian Law; Javier Arbizu; Marc C Chamberlain; Michael Vogelbaum; Ben M Ellingson; Joerg C Tonn Journal: Neuro Oncol Date: 2016-04-21 Impact factor: 12.300
Authors: Ryan S Youland; Deanna H Pafundi; Debra H Brinkmann; Val J Lowe; Jonathan M Morris; Bradley J Kemp; Christopher H Hunt; Caterina Giannini; Ian F Parney; Nadia N Laack Journal: J Neurooncol Date: 2018-01-13 Impact factor: 4.130
Authors: Maria R Ponisio; Jonathan E McConathy; Sonika M Dahiya; Michelle M Miller-Thomas; Keith M Rich; Amber Salter; Qing Wang; Pamela J LaMontagne; Gloria J Guzmán Pérez-Carrillo; Tammie L S Benzinger Journal: Neurooncol Pract Date: 2020-08-07
Authors: Antoine Girard; Hervé Saint-Jalmes; Nibras Chaboub; Pierre-Jean Le Reste; Alice Metais; Anne Devillers; Florence Le Jeune; Xavier Palard-Novello Journal: PLoS One Date: 2020-04-22 Impact factor: 3.240
Authors: Antoine Girard; Pierre-Jean Le Reste; Alice Metais; Nibras Chaboub; Anne Devillers; Hervé Saint-Jalmes; Florence Le Jeune; Xavier Palard-Novello Journal: Front Med (Lausanne) Date: 2021-07-09
Authors: Pradeep K Garg; Stephen J Lokitz; Lisa Truong; Burton Putegnat; Courtney Reynolds; Larry Rodriguez; Rachid Nazih; Jonathan Nedrelow; Miguel de la Guardia; John K Uffman; Sudha Garg; Paul S Thornton Journal: PLoS One Date: 2017-11-08 Impact factor: 3.240