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Feasibility of Computed Tomography-Guided Methods for Spatial Normalization of Dopamine Transporter Positron Emission Tomography Image

Authors
 Jin Su Kim  ;  Hanna Cho  ;  Jae Yong Choi  ;  Seung Ha Lee  ;  Young Hoon Ryu  ;  Chul Hyoung Lyoo  ;  Myung Sik Lee 
Citation
 PLoS One, Vol.10(7) : e0132585, 2015 
Journal Title
 PLoS One 
ISSN
 1932-6203 
Issue Date
2015
MeSH
Aged ; Cerebellum*/diagnostic imaging ; Cerebellum*/metabolism ; Dopamine Plasma Membrane Transport Proteins/metabolism* ; Female ; Humans ; Male ; Middle Aged ; Parkinson Disease*/diagnostic imaging ; Parkinson Disease*/metabolism ; Positron-Emission Tomography/methods* ; Radiography ; Tropanes/administration & dosage*
Abstract
BACKGROUND: Spatial normalization is a prerequisite step for analyzing positron emission tomography (PET) images both by using volume-of-interest (VOI) template and voxel-based analysis. Magnetic resonance (MR) or ligand-specific PET templates are currently used for spatial normalization of PET images. We used computed tomography (CT) images acquired with PET/CT scanner for the spatial normalization for [18F]-N-3-fluoropropyl-2-betacarboxymethoxy-3-beta-(4-iodophenyl) nortropane (FP-CIT) PET images and compared target-to-cerebellar standardized uptake value ratio (SUVR) values with those obtained from MR- or PET-guided spatial normalization method in healthy controls and patients with Parkinson's disease (PD). METHODS: We included 71 healthy controls and 56 patients with PD who underwent [18F]-FP-CIT PET scans with a PET/CT scanner and T1-weighted MR scans. Spatial normalization of MR images was done with a conventional spatial normalization tool (cvMR) and with DARTEL toolbox (dtMR) in statistical parametric mapping software. The CT images were modified in two ways, skull-stripping (ssCT) and intensity transformation (itCT). We normalized PET images with cvMR-, dtMR-, ssCT-, itCT-, and PET-guided methods by using specific templates for each modality and measured striatal SUVR with a VOI template. The SUVR values measured with FreeSurfer-generated VOIs (FSVOI) overlaid on original PET images were also used as a gold standard for comparison. RESULTS: The SUVR values derived from all four structure-guided spatial normalization methods were highly correlated with those measured with FSVOI (P < 0.0001). Putaminal SUVR values were highly effective for discriminating PD patients from controls. However, the PET-guided method excessively overestimated striatal SUVR values in the PD patients by more than 30% in caudate and putamen, and thereby spoiled the linearity between the striatal SUVR values in all subjects and showed lower disease discrimination ability. Two CT-guided methods showed comparable capability with the MR-guided methods in separating PD patients from controls and showed better correlation between putaminal SUVR values and the parkinsonian motor severity than the PET-guided method. CONCLUSION: CT-guided spatial normalization methods provided reliable striatal SUVR values comparable to those obtained with MR-guided methods. CT-guided methods can be useful for analyzing dopamine transporter PET images when MR images are unavailable.
Files in This Item:
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DOI
10.1371/journal.pone.0132585
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
Yonsei Authors
Lyoo, Chul Hyoung(류철형) ORCID logo https://orcid.org/0000-0003-2231-672X
Ryu, Young Hoon(유영훈) ORCID logo https://orcid.org/0000-0002-9000-5563
Lee, Myung Sik(이명식) ORCID logo https://orcid.org/0000-0002-8413-1854
Cho, Hanna(조한나) ORCID logo https://orcid.org/0000-0001-5936-1546
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/140541
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