{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1360567181470935040.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1007/s12149-017-1153-8"}},{"identifier":{"@type":"URI","@value":"http://link.springer.com/content/pdf/10.1007/s12149-017-1153-8.pdf"}},{"identifier":{"@type":"URI","@value":"http://link.springer.com/article/10.1007/s12149-017-1153-8/fulltext.html"}},{"identifier":{"@type":"URI","@value":"https://search.jamas.or.jp/link/ui/2018092660"}}],"resourceType":"学術雑誌論文(journal article)","dc:title":[{"@value":"An automated voxel-based method for calculating the reference value for a brain tumour metabolic index using 18F-FDG-PET and 11C-methionine PET"}],"description":[{"notation":[{"@value":"OBJECTIVE: The tumour-to-normal ratio (T/N) is a representative index reflecting brain tumour activity by (18)F-fluorodeoxyglucose (FDG) and (11)C-methionine (MET) PET. We proposed a new automated method of calculating the normal reference value (N-value) for use as the denomination of T/N. This method uses voxel-based analysis of FDG- and MET-PET images. We compared the results of this method with those of the standard region-of-interest (ROI) method. METHODS: Data sets were obtained from 32 patients with newly diagnosed glioma and 13 patients with recurrent brain tumour. Our methods were as follows: (1) FDG-PET and MET-PET images were co-registered. (2) The areas where the FDG uptake was higher than a set threshold were selected. (3) For the corresponding areas of MET-PET images, mode and mean voxel values were calculated as tentative MET N-values. (4) Applying the same coordinates to FDG-PET, the voxel values were averaged and used as tentative FDG N-values. (5) The threshold of FDG-PET and whether to use the mode or the mean voxel values were computationally optimized using learning data sets. (6) Applying the optimal threshold and either the mode or mean, N-values of FDG and MET were finally determined. RESULTS: N-values determined by our automated method showed excellent agreement with those determined by a manual ROI method (ICC(2,1) > 0.78). These values were significantly correlated with mean manual N-values (p < 0.001). CONCLUSIONS: Our new method shows sufficiently good agreement with the standard method and can provide a more objective metabolic index. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s12149-017-1153-8) contains supplementary material, which is available to authorized users."}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1380567181470935053","@type":"Researcher","foaf:name":[{"@value":"Miwako Takahashi"}]},{"@id":"https://cir.nii.ac.jp/crid/1380567181470935052","@type":"Researcher","foaf:name":[{"@value":"Tsutomu Soma"}]},{"@id":"https://cir.nii.ac.jp/crid/1420564276168535168","@type":"Researcher","personIdentifier":[{"@type":"KAKEN_RESEARCHERS","@value":"90463869"},{"@type":"NRID","@value":"1000090463869"},{"@type":"NRID","@value":"9000361693684"},{"@type":"NRID","@value":"9000412275812"},{"@type":"NRID","@value":"9000408768729"},{"@type":"NRID","@value":"9000249500326"},{"@type":"NRID","@value":"9000361700391"},{"@type":"NRID","@value":"9000242076848"},{"@type":"NRID","@value":"9000408577817"},{"@type":"NRID","@value":"9000406062321"},{"@type":"NRID","@value":"9000013849169"},{"@type":"NRID","@value":"9000409882834"},{"@type":"NRID","@value":"9000345374355"},{"@type":"NRID","@value":"9000398985904"},{"@type":"NRID","@value":"9000408641332"},{"@type":"NRID","@value":"9000409499602"},{"@type":"NRID","@value":"9000405616131"},{"@type":"NRID","@value":"9000017522783"},{"@type":"NRID","@value":"9000397708094"},{"@type":"NRID","@value":"9000005451539"},{"@type":"NRID","@value":"9000404788066"},{"@type":"NRID","@value":"9000258687794"},{"@type":"NRID","@value":"9000022058153"},{"@type":"NRID","@value":"9000411022924"},{"@type":"NRID","@value":"9000404512336"},{"@type":"NRID","@value":"9000413506466"},{"@type":"NRID","@value":"9000003606402"},{"@type":"NRID","@value":"9000243902694"},{"@type":"NRID","@value":"9000410743604"},{"@type":"NRID","@value":"9000356641058"},{"@type":"NRID","@value":"9000408628413"},{"@type":"NRID","@value":"9000410269532"},{"@type":"NRID","@value":"9000415323803"},{"@type":"RESEARCHMAP","@value":"https://researchmap.jp/read0067907"}],"foaf:name":[{"@value":"Akitake Mukasa"}]},{"@id":"https://cir.nii.ac.jp/crid/1380567181470935048","@type":"Researcher","foaf:name":[{"@value":"Keitaro Koyama"}]},{"@id":"https://cir.nii.ac.jp/crid/1380567181470935043","@type":"Researcher","foaf:name":[{"@value":"Takuya Arai"}]},{"@id":"https://cir.nii.ac.jp/crid/1380567181470935050","@type":"Researcher","foaf:name":[{"@value":"Toshimitsu Momose"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"09147187"},{"@type":"EISSN","@value":"18646433"}],"prism:publicationName":[{"@value":"Annals of Nuclear Medicine"}],"dc:publisher":[{"@value":"Springer Science and Business Media LLC"}],"prism:publicationDate":"2017-02-13","prism:volume":"31","prism:number":"3","prism:startingPage":"250","prism:endingPage":"259"},"reviewed":"false","dcterms:accessRights":"http://purl.org/coar/access_right/c_abf2","dc:rights":["http://creativecommons.org/licenses/by/4.0"],"url":[{"@id":"http://link.springer.com/content/pdf/10.1007/s12149-017-1153-8.pdf"},{"@id":"http://link.springer.com/article/10.1007/s12149-017-1153-8/fulltext.html"},{"@id":"https://search.jamas.or.jp/link/ui/2018092660"}],"createdAt":"2017-02-13","modifiedAt":"2017-06-25","foaf:topic":[{"@id":"https://cir.nii.ac.jp/all?q=Radiology,%20Nuclear%20Medicine%20and%20imaging","dc:title":"Radiology, Nuclear Medicine and imaging"},{"@id":"https://cir.nii.ac.jp/all?q=General%20Medicine","dc:title":"General Medicine"}],"project":[{"@id":"https://cir.nii.ac.jp/crid/1040000781957691776","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"17H04300"},{"@type":"JGN","@value":"JP17H04300"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17H04300/"}],"notation":[{"@language":"ja","@value":"エピゲノム制御機構の破綻によるグリオーマ発生・進展機構の解明と治療標的の探索"},{"@language":"en","@value":"The elucidation of the mechanism of the development and progression of gliomas due to epigenetic deregulation and the identification of therapeutic targets"}]},{"@id":"https://cir.nii.ac.jp/crid/1040282256898936832","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"16K15641"},{"@type":"JGN","@value":"JP16K15641"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16K15641/"}],"notation":[{"@language":"ja","@value":"次世代型培養技術を駆使したびまん性星細胞腫モデル細胞の樹立"},{"@language":"en","@value":"Establishment of diffuse astrocytoma cell line utilizing advanced culture system"}]},{"@id":"https://cir.nii.ac.jp/crid/1040282256936099968","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"17H06159"},{"@type":"JGN","@value":"JP17H06159"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17H06159/"}],"notation":[{"@language":"ja","@value":"多光子ガンマ線時間／空間相関型断層撮像法の研究"},{"@language":"en","@value":"Study on Multi-photon gamma-ray coincidence tomography"}]},{"@id":"https://cir.nii.ac.jp/crid/1040282257266325760","@type":"Project","projectIdentifier":[{"@type":"KAKEN","@value":"26293321"},{"@type":"JGN","@value":"JP26293321"},{"@type":"URI","@value":"https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-26293321/"}],"notation":[{"@language":"ja","@value":"悪性神経膠腫のゲノム・エピゲノム変化による腫瘍進化機構の解明と新規標的療法の開発"},{"@language":"en","@value":"Mechanistic insight into malignant transformation and therapeutic strategies based on the comparative multi-omics analysis of primary and recurrent gliomas"}]}],"relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360011144676577536","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Evaluation of the Accumulation of <sup>11</sup>C-Methionine with Standardized Uptake Value in the Normal Brain"}]},{"@id":"https://cir.nii.ac.jp/crid/1360011145303978496","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Evaluation of Primary Brain Tumors Using 11C-Methionine PET with Reference to a Normal Methionine Uptake Map"}]},{"@id":"https://cir.nii.ac.jp/crid/1360285709887229184","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Pattern of FDG and MET Distribution in High- and Low-Grade Gliomas on PET Images"}]},{"@id":"https://cir.nii.ac.jp/crid/1360855569825689600","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Volumetry of [11C]-methionine PET uptake and MRI contrast enhancement in patients with recurrent glioblastoma multiforme"}]},{"@id":"https://cir.nii.ac.jp/crid/1360855571038238592","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Direct comparison of 18F-FDG and 11C-methionine PET in suspected recurrence of glioma: sensitivity, inter-observer variability and prognostic value"}]},{"@id":"https://cir.nii.ac.jp/crid/1361418521395654272","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Measurement reliability and agreement in psychiatry"}]},{"@id":"https://cir.nii.ac.jp/crid/1361699993878698752","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Hybrid PET/MRI of Intracranial Masses: Initial Experiences and Comparison to PET/CT"}]},{"@id":"https://cir.nii.ac.jp/crid/1362262945994972672","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Metabolic characterization of childhood brain tumors"}]},{"@id":"https://cir.nii.ac.jp/crid/1362544421122213504","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Increased Fluorine-18 2-Fluoro-2-Deoxy-D-Glucose (FDG) Uptake in Childhood CNS Tumors Is Correlated With Malignancy Grade: A Study With FDG Positron Emission Tomography/Magnetic Resonance Imaging Coregistration and Image Fusion"}]},{"@id":"https://cir.nii.ac.jp/crid/1362544421287772032","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Clinical use of 11C-methionine and 18F-FDG-PET for germinoma in central nervous system"}]},{"@id":"https://cir.nii.ac.jp/crid/1362825894942760320","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Crossed cerebellar diaschisis: a positron emission tomography study withl-[methyl-11C]methionine and 2-deoxy-2-[18F]fluoro-d-glucose"}]},{"@id":"https://cir.nii.ac.jp/crid/1362825896146564736","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Positron emission tomography in patients with glioma a predictor of prognosis"}]},{"@id":"https://cir.nii.ac.jp/crid/1363107369499634688","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Optimization of semi-quantification in metabolic PET studies with 18F-fluorodeoxyglucose and 11C-methionine in the determination of malignancy of gliomas"}]},{"@id":"https://cir.nii.ac.jp/crid/1363388845831420160","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Usefulness of 11C-methionine PET in the evaluation of brain lesions that are hypo- or isometabolic on 18F-FDG PET"}]},{"@id":"https://cir.nii.ac.jp/crid/1363670320743614592","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Voxel-Based Analysis of Dual-Time-Point <sup>18</sup>F-FDG PET Images for Brain Tumor Identification and Delineation"}]},{"@id":"https://cir.nii.ac.jp/crid/1363951795677488128","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Intraclass correlations: Uses in assessing rater reliability."}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1007/s12149-017-1153-8"},{"@type":"KAKEN","@value":"PRODUCT-22540527"},{"@type":"KAKEN","@value":"PRODUCT-21511919"},{"@type":"KAKEN","@value":"PRODUCT-21654808"},{"@type":"KAKEN","@value":"PRODUCT-21032156"},{"@type":"KAKEN","@value":"PRODUCT-22545742"},{"@type":"OPENAIRE","@value":"doi_dedup___::1d8b2563ba223cbf4f673eb102f20ada"},{"@type":"CROSSREF","@value":"10.1097/rlu.0000000000002460_references_DOI_9Dg2HPaChrk5UvUXUu1NH1pEiTu"}]}