PURPOSE: With its unique ability to assess function through metabolism, FDG PET may provide key insight into the adverse effects of chemotherapy on the brain by shedding light on its cognitive and psychological consequences, a well-known phenomenon in cancer patients who undergo such treatments. PATIENTS AND METHODS: Twenty-one patients with untreated non-Hodgkin lymphoma and no involvement of the central nervous system were selected from an existing database for this investigation. An adaptive threshold imaging software called ROVER was used to analyze and quantify FDG PET scans for assessing whole-brain metabolism. A 3D spherical region of interest was drawn surrounding the cerebral cortex, excluding subcortical and non-cortical areas. RESULTS: We noted a mean reduction of 1308.86 ± 394.74 SUV-cc (P = 0.03) in the whole-brain cortical glycolysis after standard chemotherapy, which translated to a decrease of 16.9 ± 5.04% (P = 0.03) in the measured structures. CONCLUSION: These results demonstrate the potential role of such adaptive quantitative techniques in studying underlying biological effects of chemotherapy and offer a promising avenue for future research in this field.
PURPOSE: With its unique ability to assess function through metabolism, FDG PET may provide key insight into the adverse effects of chemotherapy on the brain by shedding light on its cognitive and psychological consequences, a well-known phenomenon in cancerpatients who undergo such treatments. PATIENTS AND METHODS: Twenty-one patients with untreated non-Hodgkin lymphoma and no involvement of the central nervous system were selected from an existing database for this investigation. An adaptive threshold imaging software called ROVER was used to analyze and quantify FDG PET scans for assessing whole-brain metabolism. A 3D spherical region of interest was drawn surrounding the cerebral cortex, excluding subcortical and non-cortical areas. RESULTS: We noted a mean reduction of 1308.86 ± 394.74 SUV-cc (P = 0.03) in the whole-brain cortical glycolysis after standard chemotherapy, which translated to a decrease of 16.9 ± 5.04% (P = 0.03) in the measured structures. CONCLUSION: These results demonstrate the potential role of such adaptive quantitative techniques in studying underlying biological effects of chemotherapy and offer a promising avenue for future research in this field.
Authors: Ana Dias-Carvalho; Mariana Ferreira; Rita Ferreira; Maria de Lourdes Bastos; Susana Isabel Sá; João Paulo Capela; Félix Carvalho; Vera Marisa Costa Journal: Arch Toxicol Date: 2021-11-02 Impact factor: 5.153
Authors: Jan Petr; Louise Hogeboom; Pavel Nikulin; Evita Wiegers; Gwen Schroyen; Jesper Kallehauge; Marek Chmelík; Patricia Clement; Ruben E Nechifor; Liviu-Andrei Fodor; Philip C De Witt Hamer; Frederik Barkhof; Cyril Pernet; Maarten Lequin; Sabine Deprez; Radim Jančálek; Henk J M M Mutsaerts; Francesca B Pizzini; Kyrre E Emblem; Vera C Keil Journal: MAGMA Date: 2021-12-17 Impact factor: 2.310