scholarly journals Hybrid 2-[18F] FDG PET/MRI in premanifest Huntington’s disease gene-expansion carriers: The significance of partial volume correction

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252683
Author(s):  
Marie N. N. Hellem ◽  
Tua Vinther-Jensen ◽  
Lasse Anderberg ◽  
Esben Budtz-Jørgensen ◽  
Lena E. Hjermind ◽  
...  

Background Huntington’s disease (HD) is an inherited, progressive neurodegenerative disease that has no cure. Striatal atrophy and hypometabolism has been described in HD as far as 15 years before clinical onset and therefore structural and functional imaging biomarkers are the most applied biomarker modalities which call for these to be exact; however, most studies are not considering the partial volume effect and thereby tend to overestimate metabolic reductions, which may bias imaging outcome measures of interventions. Objective Evaluation of partial volume effects in a cohort of premanifest HD gene-expansion carriers (HDGECs). Methods 21 HDGECs and 17 controls had a hybrid 2-[18F]FDG PET/MRI scan performed. Volume measurements and striatal metabolism, both corrected and uncorrected for partial volume effect were correlated to an estimate of disease burden, the CAG age product scaled (CAPS). Results We found significantly reduced striatal metabolism in HDGECs, but not in striatal volume. There was a negative correlation between the CAPS and striatal metabolism, both corrected and uncorrected for the partial volume effect. The partial volume effect was largest in the smallest structures and increased the difference in metabolism between the HDGEC with high and low CAPS scores. Statistical parametric mapping confirmed the results. Conclusions A hybrid 2-[18F]FDG PET/MRI scan provides simultaneous information on structure and metabolism. Using this approach for the first time on HDGECs, we highlight the importance of partial volume effect correction in order not to underestimate the standardized uptake value and thereby the risk of overestimating the metabolic effect on the striatal structures, which potentially could bias studies determining imaging outcome measures of interventions in HDGECs and probably also symptomatic HD.

2007 ◽  
Vol 34 (10) ◽  
pp. 1658-1669 ◽  
Author(s):  
Miharu Samuraki ◽  
Ichiro Matsunari ◽  
Wei-Ping Chen ◽  
Kazuyoshi Yajima ◽  
Daisuke Yanase ◽  
...  

2016 ◽  
Vol 44 (5) ◽  
pp. 838-849 ◽  
Author(s):  
Stijn Bonte ◽  
Pieter Vandemaele ◽  
Stijn Verleden ◽  
Kurt Audenaert ◽  
Karel Deblaere ◽  
...  

NeuroImage ◽  
2013 ◽  
Vol 72 ◽  
pp. 183-192 ◽  
Author(s):  
Christopher Coello ◽  
Frode Willoch ◽  
Per Selnes ◽  
Leif Gjerstad ◽  
Tormod Fladby ◽  
...  

2019 ◽  
Vol 57 ◽  
pp. 153-159 ◽  
Author(s):  
Domenico Finocchiaro ◽  
Salvatore Berenato ◽  
Elisa Grassi ◽  
Valentina Bertolini ◽  
Gastone Castellani ◽  
...  

2008 ◽  
Vol 21 (10) ◽  
pp. 1030-1042 ◽  
Author(s):  
Yuzhuo Su ◽  
Sunitha B. Thakur ◽  
Karimi Sasan ◽  
Shuyan Du ◽  
Paul Sajda ◽  
...  

1999 ◽  
Author(s):  
Hilmi Rifai ◽  
Isabelle Bloch ◽  
Seth A. Hutchinson ◽  
Joe Wiart ◽  
Line Garnero

2010 ◽  
Vol 2010 ◽  
pp. 1-6 ◽  
Author(s):  
Ihar Volkau ◽  
Fiftarina Puspitasari ◽  
Wieslaw L. Nowinski

We present a mathematical frame to carry out segmentation of cerebrospinal fluid (CSF) of ventricular region in computed tomography (CT) images in the presence of partial volume effect (PVE). First, the image histogram is fitted using the Gaussian mixture model (GMM). Analyzing the GMM, we find global threshold based on parameters of distributions for CSF, and for the combined white and grey matter (WGM). The parameters of distribution of PVE pixels on the boundary of ventricles are estimated by using a convolution operator. These parameters are used to calculate local thresholds for boundary pixels by the analysis of contribution of the neighbor pixels intensities into a PVE pixel. The method works even in the case of an almost unimodal histogram; it can be useful to analyze the parameters of PVE in the ground truth provided by the expert.


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