Elisabetta Grecchi1,2, Mattia Veronese3,2, Rosa Maria Moresco4, Giacomo Bellani5,6, Antonio Pesenti5,6, Cristina Messa4, Alessandra Bertoldo7. 1. Division of Imaging Science and Biomedical Engineering, King's College London, London, UK. 2. Department of Information Engineering (DEI), University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy. 3. Department of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK. 4. Tecnomed Foundation, University of Milan-Bicocca, Milan, Italy. 5. Department of Health Science, University of Milan-Bicocca, Monza, Italy. 6. Department of Emergency and Intensive Care, San Gerardo Hospital, Monza, Italy. 7. Department of Information Engineering (DEI), University of Padova, Via G. Gradenigo 6/B, 35131, Padova, Italy. bertoldo@dei.unipd.it.
Abstract
PURPOSE: This work aims to investigate lung glucose metabolism using 2-deoxy-2-[(18)F]fluoro-D-glucose ([(18)F]FDG) positron emission tomography (PET) imaging in acute lung injury (ALI) patients. PROCEDURES: Eleven ALI patients and five healthy controls underwent a dynamic [(18)F]FDG PET/X-ray computed tomography (CT) scan. The standardized uptake values (SUV) and three different methods for the quantification of glucose metabolism (i.e., ratio, Patlak, and spectral analysis iterative filter, SAIF) were applied both at the region and the voxel levels. RESULTS: SUV reported a lower correlation than the ratio with the net tracer uptake. Patlak and SAIF analyses did not show any significant spatial or quantitative (R(2) > 0.80) difference. The additional information provided by SAIF showed that in lung inflammation, elevated tracer uptake is coupled with abnormal tracer exchanges within and between lung tissue compartments. CONCLUSIONS: Full kinetic modeling provides a multi-parametric description of glucose metabolism in the lungs. This allows characterizing the spatial distribution of lung inflammation as well as returning the functional state of the tissues.
PURPOSE: This work aims to investigate lung glucose metabolism using 2-deoxy-2-[(18)F]fluoro-D-glucose ([(18)F]FDG) positron emission tomography (PET) imaging in acute lung injury (ALI) patients. PROCEDURES: Eleven ALI patients and five healthy controls underwent a dynamic [(18)F]FDG PET/X-ray computed tomography (CT) scan. The standardized uptake values (SUV) and three different methods for the quantification of glucose metabolism (i.e., ratio, Patlak, and spectral analysis iterative filter, SAIF) were applied both at the region and the voxel levels. RESULTS: SUV reported a lower correlation than the ratio with the net tracer uptake. Patlak and SAIF analyses did not show any significant spatial or quantitative (R(2) > 0.80) difference. The additional information provided by SAIF showed that in lung inflammation, elevated tracer uptake is coupled with abnormal tracer exchanges within and between lung tissue compartments. CONCLUSIONS: Full kinetic modeling provides a multi-parametric description of glucose metabolism in the lungs. This allows characterizing the spatial distribution of lung inflammation as well as returning the functional state of the tissues.
Authors: Tobias Schroeder; Marcos F Vidal Melo; Guido Musch; R Scott Harris; Tilo Winkler; Jose G Venegas Journal: J Nucl Med Date: 2007-03 Impact factor: 10.057
Authors: Gordon D Rubenfeld; Ellen Caldwell; Eve Peabody; Jim Weaver; Diane P Martin; Margaret Neff; Eric J Stern; Leonard D Hudson Journal: N Engl J Med Date: 2005-10-20 Impact factor: 91.245
Authors: Nicolas de Prost; Yan Feng; Tyler Wellman; Mauro R Tucci; Eduardo L Costa; Guido Musch; Tilo Winkler; R Scott Harris; Jose G Venegas; Wei Chao; Marcos F Vidal Melo Journal: J Nucl Med Date: 2014-10-06 Impact factor: 10.057
Authors: Jörg van den Hoff; Liane Oehme; Georg Schramm; Jens Maus; Alexandr Lougovski; Jan Petr; Bettina Beuthien-Baumann; Frank Hofheinz Journal: EJNMMI Res Date: 2013-11-23 Impact factor: 3.138
Authors: Delphine L Chen; Joseph Cheriyan; Edwin R Chilvers; Gourab Choudhury; Christopher Coello; Martin Connell; Marie Fisk; Ashley M Groves; Roger N Gunn; Beverley F Holman; Brian F Hutton; Sarah Lee; William MacNee; Divya Mohan; David Parr; Deepak Subramanian; Ruth Tal-Singer; Kris Thielemans; Edwin J R van Beek; Laurence Vass; Jeremy W Wellen; Ian Wilkinson; Frederick J Wilson Journal: J Nucl Med Date: 2017-01-12 Impact factor: 10.057
Authors: Erica Silvestri; Valentina Scolozzi; Gaia Rizzo; Luca Indovina; Marco Castellaro; Maria Vittoria Mattoli; Paolo Graziano; Giuseppe Cardillo; Alessandra Bertoldo; Maria Lucia Calcagni Journal: EJNMMI Res Date: 2018-08-29 Impact factor: 3.138
Authors: Frank Hofheinz; Jörg van den Hoff; Ingo G Steffen; Alexandr Lougovski; Kilian Ego; Holger Amthauer; Ivayla Apostolova Journal: EJNMMI Res Date: 2016-06-22 Impact factor: 3.138