D Kupitz, I Apostolova, C Lange, G Ulrich, H Amthauer, W Brenner, R Buchert1. 1. Ralph Buchert, PhD, Charité - Universitätsmedizin Berlin, Department of Nuclear Medicine, Charitéplatz 1, 10117 Berlin, Germany, Tel. +49/(0)30/450 62 70 59, Fax +49/(0)30/45 07 52 79 59.
Abstract
UNLABELLED: Semi-quantitative characterization of dopamine transporter availability from single photon emission computed tomography (SPECT) with 123I-ioflupane (FP-CIT) is based on uptake ratios relative to a reference region. The aim of this study was to evaluate the whole brain as reference region for semi-quantitative analysis of FP-CIT SPECT. The rationale was that this might reduce statistical noise associated with the estimation of non-displaceable FP-CIT uptake. PATIENTS, METHODS: 150 FP-CIT SPECTs were categorized as neurodegenerative or non-neurodegenerative by an expert. Semi-quantitative analysis of specific binding ratios (SBR) was performed with a custom-made tool based on the Statistical Parametric Mapping software package using predefined regions of interest (ROIs) in the anatomical space of the Montreal Neurological Institute. The following reference regions were compared: predefined ROIs for frontal and occipital lobe and whole brain (without striata, thalamus and brainstem). Tracer uptake in the reference region was characterized by the mean, median or 75th percentile of its voxel intensities. The area (AUC) under the receiver operating characteristic curve was used as performance measure. RESULTS: The highest AUC of 0.973 was achieved by the SBR of the putamen with the 75th percentile in the whole brain as reference. The lowest AUC for the putamen SBR of 0.937 was obtained with the mean in the frontal lobe as reference. CONCLUSION: We recommend the 75th percentile in the whole brain as reference for semi-quantitative analysis in FP-CIT SPECT. This combination provided the best agreement of the semi-quantitative analysis with visual evaluation of the SPECT images by an expert and, therefore, is appropriate to support less experienced physicians.
UNLABELLED: Semi-quantitative characterization of dopamine transporter availability from single photon emission computed tomography (SPECT) with 123I-ioflupane (FP-CIT) is based on uptake ratios relative to a reference region. The aim of this study was to evaluate the whole brain as reference region for semi-quantitative analysis of FP-CIT SPECT. The rationale was that this might reduce statistical noise associated with the estimation of non-displaceable FP-CIT uptake. PATIENTS, METHODS: 150 FP-CIT SPECTs were categorized as neurodegenerative or non-neurodegenerative by an expert. Semi-quantitative analysis of specific binding ratios (SBR) was performed with a custom-made tool based on the Statistical Parametric Mapping software package using predefined regions of interest (ROIs) in the anatomical space of the Montreal Neurological Institute. The following reference regions were compared: predefined ROIs for frontal and occipital lobe and whole brain (without striata, thalamus and brainstem). Tracer uptake in the reference region was characterized by the mean, median or 75th percentile of its voxel intensities. The area (AUC) under the receiver operating characteristic curve was used as performance measure. RESULTS: The highest AUC of 0.973 was achieved by the SBR of the putamen with the 75th percentile in the whole brain as reference. The lowest AUC for the putamen SBR of 0.937 was obtained with the mean in the frontal lobe as reference. CONCLUSION: We recommend the 75th percentile in the whole brain as reference for semi-quantitative analysis in FP-CIT SPECT. This combination provided the best agreement of the semi-quantitative analysis with visual evaluation of the SPECT images by an expert and, therefore, is appropriate to support less experienced physicians.
Authors: Markus Wenzel; Fausto Milletari; Julia Krüger; Catharina Lange; Michael Schenk; Ivayla Apostolova; Susanne Klutmann; Marcus Ehrenburg; Ralph Buchert Journal: Eur J Nucl Med Mol Imaging Date: 2019-08-31 Impact factor: 9.236
Authors: Ralph Buchert; Andreas Kluge; Livia Tossici-Bolt; John Dickson; Marcus Bronzel; Catharina Lange; Susanne Asenbaum; Jan Booij; L Özlem Atay Kapucu; Claus Svarer; Pierre-Malick Koulibaly; Flavio Nobili; Marco Pagani; Osama Sabri; Terez Sera; Klaus Tatsch; Thierry Vander Borght; Koen Van Laere; Andrea Varrone; Hidehiro Iida Journal: Eur J Nucl Med Mol Imaging Date: 2016-01-27 Impact factor: 9.236
Authors: Ralph Buchert; Catharina Lange; Timo S Spehl; Ivayla Apostolova; Lars Frings; Cathrine Jonsson; Philipp T Meyer; Sabine Hellwig Journal: EJNMMI Res Date: 2019-05-07 Impact factor: 3.138
Authors: Franziska Mathies; Ivayla Apostolova; Lena Dierck; Janin Jacobi; Katja Kuen; Markus Sauer; Michael Schenk; Susanne Klutmann; Attila Forgács; Ralph Buchert Journal: EJNMMI Res Date: 2022-08-17 Impact factor: 3.434