Cited 36 times in
Feasibility of Computed Tomography-Guided Methods for Spatial Normalization of Dopamine Transporter Positron Emission Tomography Image
DC Field | Value | Language |
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dc.contributor.author | 류철형 | - |
dc.contributor.author | 유영훈 | - |
dc.contributor.author | 이명식 | - |
dc.contributor.author | 조한나 | - |
dc.date.accessioned | 2016-02-04T11:29:28Z | - |
dc.date.available | 2016-02-04T11:29:28Z | - |
dc.date.issued | 2015 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/140541 | - |
dc.description.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. | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | e0132585 | - |
dc.relation.isPartOf | PLOS ONE | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Cerebellum*/diagnostic imaging | - |
dc.subject.MESH | Cerebellum*/metabolism | - |
dc.subject.MESH | Dopamine Plasma Membrane Transport Proteins/metabolism* | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Parkinson Disease*/diagnostic imaging | - |
dc.subject.MESH | Parkinson Disease*/metabolism | - |
dc.subject.MESH | Positron-Emission Tomography/methods* | - |
dc.subject.MESH | Radiography | - |
dc.subject.MESH | Tropanes/administration & dosage* | - |
dc.title | Feasibility of Computed Tomography-Guided Methods for Spatial Normalization of Dopamine Transporter Positron Emission Tomography Image | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Nuclear Medicine (핵의학) | - |
dc.contributor.googleauthor | Jin Su Kim | - |
dc.contributor.googleauthor | Hanna Cho | - |
dc.contributor.googleauthor | Jae Yong Choi | - |
dc.contributor.googleauthor | Seung Ha Lee | - |
dc.contributor.googleauthor | Young Hoon Ryu | - |
dc.contributor.googleauthor | Chul Hyoung Lyoo | - |
dc.contributor.googleauthor | Myung Sik Lee | - |
dc.identifier.doi | 10.1371/journal.pone.0132585 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A01333 | - |
dc.contributor.localId | A02485 | - |
dc.contributor.localId | A02753 | - |
dc.contributor.localId | A03920 | - |
dc.relation.journalcode | J02540 | - |
dc.identifier.eissn | 1932-6203 | - |
dc.identifier.pmid | 26147749 | - |
dc.contributor.alternativeName | Lyoo, Chul Hyoung | - |
dc.contributor.alternativeName | Ryu, Young Hoon | - |
dc.contributor.alternativeName | Lee, Myung Sik | - |
dc.contributor.alternativeName | Cho, Hanna | - |
dc.contributor.affiliatedAuthor | Lyoo, Chul Hyoung | - |
dc.contributor.affiliatedAuthor | Ryu, Young Hoon | - |
dc.contributor.affiliatedAuthor | Lee, Myung Sik | - |
dc.contributor.affiliatedAuthor | Cho, Hanna | - |
dc.rights.accessRights | free | - |
dc.citation.volume | 10 | - |
dc.citation.number | 7 | - |
dc.citation.startPage | e0132585 | - |
dc.identifier.bibliographicCitation | PLOS ONE, Vol.10(7) : e0132585, 2015 | - |
dc.identifier.rimsid | 30161 | - |
dc.type.rims | ART | - |
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