UNLABELLED: (123)I-FP-CIT ((123)I-N-omega-fluoropropyl-2beta-carbomethoxy-3beta-(4-iodophenyl)nortropane) is a SPECT dopamine transporter (DAT) tracer that probes dopaminergic cell loss in Parkinson's disease (PD). Quantification of (123)I-FP-CIT images is performed at equilibrium using a ratio (BR) of specific (striatal) to nonspecific (occipital) uptake with values obtained from regions of interest drawn manually over these structures. Statistical parametric mapping (SPM) is a fully automated voxel-based statistical approach that has great potential in the context of DAT imaging. However, the accuracy of the spatial normalization provided by SPM has not been validated for (123)I-FP-CIT images. Our first aim was to create an (123)I-FP-CIT template that does not require the acquisition of patient-specific MRI and to validate the spatial normalization procedure. Next, we hypothesized that this customized template could be used by different SPECT centers without affecting the outcomes of imaging analyses. METHODS: The spatial normalization to the customized template created with SPM (template A1) was validated using (123)I-FP-CIT images obtained from 6 subjects with essential tremor (ET) with normal DAT status and 6 PD patients. Variability in BR values due to the normalization was evaluated using striatal volume of interest (VOI). To determine whether different SPECT centers could use a unique (123)I-FP-CIT template, we generated 3 other (123)I-FP-CIT templates using different subjects and image-processing schemes. The interchangeability of these templates was assessed using (a) putamen BR values analyzed with the intraclass correlation coefficient (ICC) and the Bland-Altman graphical analysis, and (b) SPM analysis comparing the results of group comparisons-that is, ET versus PD, obtained after normalization to each of the 4 templates. RESULTS: There was no significant difference between pre- and post-normalization striatal BR values in our study. The mean variability calculated with putamen VOI values after normalization to each template was <10%, with the lowest ICC of 98%. Intergroup analyses performed with VOI and SPM approaches provided similar results independently of the template used. CONCLUSION: SPM normalization was accurate even in subjects with low striatal (123)I-FP-CIT uptake, making it a promising approach for automatic analysis of (123)I-FP-CIT images using a single customized template at different centers.
UNLABELLED: (123)I-FP-CIT ((123)I-N-omega-fluoropropyl-2beta-carbomethoxy-3beta-(4-iodophenyl)nortropane) is a SPECT dopamine transporter (DAT) tracer that probes dopaminergic cell loss in Parkinson's disease (PD). Quantification of (123)I-FP-CIT images is performed at equilibrium using a ratio (BR) of specific (striatal) to nonspecific (occipital) uptake with values obtained from regions of interest drawn manually over these structures. Statistical parametric mapping (SPM) is a fully automated voxel-based statistical approach that has great potential in the context of DAT imaging. However, the accuracy of the spatial normalization provided by SPM has not been validated for (123)I-FP-CIT images. Our first aim was to create an (123)I-FP-CIT template that does not require the acquisition of patient-specific MRI and to validate the spatial normalization procedure. Next, we hypothesized that this customized template could be used by different SPECT centers without affecting the outcomes of imaging analyses. METHODS: The spatial normalization to the customized template created with SPM (template A1) was validated using (123)I-FP-CIT images obtained from 6 subjects with essential tremor (ET) with normal DAT status and 6 PDpatients. Variability in BR values due to the normalization was evaluated using striatal volume of interest (VOI). To determine whether different SPECT centers could use a unique (123)I-FP-CIT template, we generated 3 other (123)I-FP-CIT templates using different subjects and image-processing schemes. The interchangeability of these templates was assessed using (a) putamen BR values analyzed with the intraclass correlation coefficient (ICC) and the Bland-Altman graphical analysis, and (b) SPM analysis comparing the results of group comparisons-that is, ET versus PD, obtained after normalization to each of the 4 templates. RESULTS: There was no significant difference between pre- and post-normalization striatal BR values in our study. The mean variability calculated with putamen VOI values after normalization to each template was <10%, with the lowest ICC of 98%. Intergroup analyses performed with VOI and SPM approaches provided similar results independently of the template used. CONCLUSION: SPM normalization was accurate even in subjects with low striatal (123)I-FP-CIT uptake, making it a promising approach for automatic analysis of (123)I-FP-CIT images using a single customized template at different centers.
Authors: Simon Badoud; Nicolas Nicastro; Valentina Garibotto; Pierre R Burkhard; Sven Haller Journal: Eur J Nucl Med Mol Imaging Date: 2015-08-29 Impact factor: 9.236
Authors: D Salas-Gonzalez; Juan M Górriz; Javier Ramírez; Ignacio A Illán; Pablo Padilla; Francisco J Martínez-Murcia; Elmar W Lang Journal: Neuroinformatics Date: 2015-10
Authors: Axel Van Der Gucht; Laurent Cleret de Langavant; Ophélie Bélissant; Corentin Rabu; Anne-Ségolène Cottereau; Eva Evangelista; Julia Chalaye; Sophie Bonnot-Lours; Gilles Fénelon; Emmanuel Itti Journal: Nucl Med Mol Imaging Date: 2016-01-29
Authors: Dilan Athauda; Kate Maclagan; Simon S Skene; Martha Bajwa-Joseph; Dawn Letchford; Kashfia Chowdhury; Steve Hibbert; Natalia Budnik; Luca Zampedri; John Dickson; Yazhou Li; Iciar Aviles-Olmos; Thomas T Warner; Patricia Limousin; Andrew J Lees; Nigel H Greig; Susan Tebbs; Thomas Foltynie Journal: Lancet Date: 2017-08-03 Impact factor: 79.321