{"@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/1363667548349924096.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1007/s11604-019-00908-1"}},{"identifier":{"@type":"URI","@value":"http://link.springer.com/content/pdf/10.1007/s11604-019-00908-1.pdf"}},{"identifier":{"@type":"URI","@value":"http://link.springer.com/article/10.1007/s11604-019-00908-1/fulltext.html"}},{"identifier":{"@type":"PMID","@value":"31820265"}},{"identifier":{"@type":"NAID","@value":"210000165617"}}],"dc:title":[{"@value":"Diagnostic performance and inter-operator variability of apparent diffusion coefficient analysis for differentiating pleomorphic adenoma and carcinoma ex pleomorphic adenoma: comparing one-point measurement and whole-tumor measurement including radiomics approach"}],"description":[{"notation":[{"@value":"The purpose of this study was to compare the diagnostic performance between apparent diffusion coefficient (ADC) analysis of one-point measurement and whole-tumor measurement, including radiomics for differentiating pleomorphic adenoma (PA) from carcinoma ex pleomorphic adenoma (CXPA), and to evaluate the impact of inter-operator segmentation variability.One hundred and fifteen patients with PA and 22 with CXPA were included. Four radiologists with different experience independently placed one-point and whole-tumor ROIs and a radiomics-predictive model was constructed from the extracted imaging features. We calculated the area under the receiver-operator characteristic curve (AUC) for the diagnostic performance of imaging features and the radiomics-predictive model.AUCs of the imaging features from whole-tumor varied between readers (0.50-0.89). The most experienced radiologist (Reader 1) produced significantly high AUCs than less experienced radiologists (Reader 3 and 4; P = 0.01 and 0.009). AUCs were higher for the radiomics-predictive model (0.82-0.87) than for one-point (0.66-0.79) in all readers.Some imaging features of whole-tumor and radiomics-predictive model had higher diagnostic performance than one-point. The diagnostic performance of imaging features from whole-tumor alone varied depending on operator experience. Operator experience appears less likely to affect diagnostic performance in the radiomics-predictive model."}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1583669082804336386","@type":"Researcher","personIdentifier":[{"@type":"NRID","@value":"9000415156378"}],"foaf:name":[{"@value":"Takeshi Wada"}]},{"@id":"https://cir.nii.ac.jp/crid/1420001326218625792","@type":"Researcher","personIdentifier":[{"@type":"KAKEN_RESEARCHERS","@value":"20649280"},{"@type":"NRID","@value":"1000020649280"},{"@type":"NRID","@value":"9000019209528"},{"@type":"NRID","@value":"9000402795427"},{"@type":"NRID","@value":"9000411577875"},{"@type":"NRID","@value":"9000402794810"},{"@type":"NRID","@value":"9000021673221"},{"@type":"NRID","@value":"9000409337197"},{"@type":"NRID","@value":"9000415157100"},{"@type":"NRID","@value":"9000410053111"},{"@type":"NRID","@value":"9000282419844"},{"@type":"NRID","@value":"9000410045349"},{"@type":"NRID","@value":"9000409337225"},{"@type":"NRID","@value":"9000415181707"},{"@type":"NRID","@value":"9000237870256"},{"@type":"NRID","@value":"9000019980178"},{"@type":"NRID","@value":"9000022060047"},{"@type":"NRID","@value":"9000402795415"},{"@type":"NRID","@value":"9000415156379"},{"@type":"NRID","@value":"9000409337414"},{"@type":"NRID","@value":"9000408658485"},{"@type":"RESEARCHMAP","@value":"https://researchmap.jp/hyokota"}],"foaf:name":[{"@value":"Hajime Yokota"}]},{"@id":"https://cir.nii.ac.jp/crid/1420564276164106240","@type":"Researcher","personIdentifier":[{"@type":"KAKEN_RESEARCHERS","@value":"50456068"},{"@type":"NRID","@value":"1000050456068"},{"@type":"NRID","@value":"9000006079954"},{"@type":"NRID","@value":"9000022105759"},{"@type":"NRID","@value":"9000402795426"},{"@type":"NRID","@value":"9000402794815"},{"@type":"NRID","@value":"9000018242919"},{"@type":"NRID","@value":"9000326642109"},{"@type":"NRID","@value":"9000326642131"},{"@type":"NRID","@value":"9000415157102"},{"@type":"NRID","@value":"9000409337226"},{"@type":"NRID","@value":"9000399498935"},{"@type":"NRID","@value":"9000415181709"},{"@type":"NRID","@value":"9000402795418"},{"@type":"NRID","@value":"9000415200447"},{"@type":"NRID","@value":"9000415156380"},{"@type":"NRID","@value":"9000409337416"},{"@type":"RESEARCHMAP","@value":"https://researchmap.jp/horikoshi_chibarad"}],"foaf:name":[{"@value":"Takuro Horikoshi"}]},{"@id":"https://cir.nii.ac.jp/crid/1583669082804336385","@type":"Researcher","personIdentifier":[{"@type":"NRID","@value":"9000415156381"}],"foaf:name":[{"@value":"Jay Starkey"}]},{"@id":"https://cir.nii.ac.jp/crid/1583669082804336512","@type":"Researcher","personIdentifier":[{"@type":"NRID","@value":"9000415156382"}],"foaf:name":[{"@value":"Shinya Hattori"}]},{"@id":"https://cir.nii.ac.jp/crid/1583669082804336384","@type":"Researcher","personIdentifier":[{"@type":"NRID","@value":"9000415156383"}],"foaf:name":[{"@value":"Jun Hashiba"}]},{"@id":"https://cir.nii.ac.jp/crid/1420845751160478080","@type":"Researcher","personIdentifier":[{"@type":"KAKEN_RESEARCHERS","@value":"30302540"},{"@type":"NRID","@value":"1000030302540"},{"@type":"NRID","@value":"9000256519074"},{"@type":"NRID","@value":"9000322739693"},{"@type":"NRID","@value":"9000018774206"},{"@type":"NRID","@value":"9000409633820"},{"@type":"NRID","@value":"9000238924620"},{"@type":"NRID","@value":"9000238881749"},{"@type":"NRID","@value":"9000254340873"},{"@type":"NRID","@value":"9000018530413"},{"@type":"NRID","@value":"9000239576397"},{"@type":"NRID","@value":"9000396179073"},{"@type":"NRID","@value":"9000238881758"},{"@type":"NRID","@value":"9000256517852"},{"@type":"NRID","@value":"9000403290256"},{"@type":"NRID","@value":"9000411545973"},{"@type":"NRID","@value":"9000411545981"},{"@type":"NRID","@value":"9000254342139"},{"@type":"NRID","@value":"9000326642112"},{"@type":"NRID","@value":"9000361678914"},{"@type":"NRID","@value":"9000409791204"},{"@type":"NRID","@value":"9000326642133"},{"@type":"NRID","@value":"9000004436132"},{"@type":"NRID","@value":"9000238940581"},{"@type":"NRID","@value":"9000256517458"},{"@type":"NRID","@value":"9000408651177"},{"@type":"NRID","@value":"9000406295557"},{"@type":"NRID","@value":"9000018793167"},{"@type":"NRID","@value":"9000267810114"},{"@type":"NRID","@value":"9000399513914"},{"@type":"NRID","@value":"9000415157106"},{"@type":"NRID","@value":"9000411001546"},{"@type":"NRID","@value":"9000254842495"},{"@type":"NRID","@value":"9000415181711"},{"@type":"NRID","@value":"9000413481435"},{"@type":"NRID","@value":"9000399796348"},{"@type":"NRID","@value":"9000312730481"},{"@type":"NRID","@value":"9000415200453"},{"@type":"NRID","@value":"9000415156384"},{"@type":"NRID","@value":"9000414552577"},{"@type":"NRID","@value":"9000254341939"},{"@type":"NRID","@value":"9000254341006"},{"@type":"NRID","@value":"9000256517958"},{"@type":"NRID","@value":"9000415200238"},{"@type":"NRID","@value":"9000322739867"},{"@type":"NRID","@value":"9000322739648"},{"@type":"NRID","@value":"9000401509110"},{"@type":"NRID","@value":"9000399796324"},{"@type":"RESEARCHMAP","@value":"https://researchmap.jp/read0191946"}],"foaf:name":[{"@value":"Takashi Uno"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"18671071"},{"@type":"EISSN","@value":"1867108X"}],"prism:publicationName":[{"@value":"Japanese Journal of Radiology"}],"dc:publisher":[{"@value":"Springer Science and Business Media LLC"}],"prism:publicationDate":"2019-12-09","prism:volume":"38","prism:number":"3","prism:startingPage":"207","prism:endingPage":"214"},"reviewed":"false","dc:rights":["http://www.springer.com/tdm","http://www.springer.com/tdm"],"url":[{"@id":"http://link.springer.com/content/pdf/10.1007/s11604-019-00908-1.pdf"},{"@id":"http://link.springer.com/article/10.1007/s11604-019-00908-1/fulltext.html"}],"createdAt":"2019-12-09","modifiedAt":"2020-12-08","foaf:topic":[{"@id":"https://cir.nii.ac.jp/all?q=Male","dc:title":"Male"},{"@id":"https://cir.nii.ac.jp/all?q=Observer%20Variation","dc:title":"Observer Variation"},{"@id":"https://cir.nii.ac.jp/all?q=Adenoma,%20Pleomorphic","dc:title":"Adenoma, Pleomorphic"},{"@id":"https://cir.nii.ac.jp/all?q=Reproducibility%20of%20Results","dc:title":"Reproducibility of Results"},{"@id":"https://cir.nii.ac.jp/all?q=Middle%20Aged","dc:title":"Middle Aged"},{"@id":"https://cir.nii.ac.jp/all?q=Salivary%20Gland%20Neoplasms","dc:title":"Salivary Gland Neoplasms"},{"@id":"https://cir.nii.ac.jp/all?q=Salivary%20Glands","dc:title":"Salivary Glands"},{"@id":"https://cir.nii.ac.jp/all?q=Diagnosis,%20Differential","dc:title":"Diagnosis, Differential"},{"@id":"https://cir.nii.ac.jp/all?q=Diffusion%20Magnetic%20Resonance%20Imaging","dc:title":"Diffusion Magnetic Resonance Imaging"},{"@id":"https://cir.nii.ac.jp/all?q=ROC%20Curve","dc:title":"ROC Curve"},{"@id":"https://cir.nii.ac.jp/all?q=Area%20Under%20Curve","dc:title":"Area Under Curve"},{"@id":"https://cir.nii.ac.jp/all?q=Image%20Interpretation,%20Computer-Assisted","dc:title":"Image Interpretation, Computer-Assisted"},{"@id":"https://cir.nii.ac.jp/all?q=Humans","dc:title":"Humans"},{"@id":"https://cir.nii.ac.jp/all?q=Female","dc:title":"Female"},{"@id":"https://cir.nii.ac.jp/all?q=Clinical%20Competence","dc:title":"Clinical Competence"},{"@id":"https://cir.nii.ac.jp/all?q=Algorithms","dc:title":"Algorithms"}],"relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360011144461723264","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Radiomics: Images Are More than Pictures, They Are Data"}]},{"@id":"https://cir.nii.ac.jp/crid/1360011145700598784","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Inter- and Intratumoral Variability in Magnetic Resonance Imaging of Pleomorphic Adenoma"}]},{"@id":"https://cir.nii.ac.jp/crid/1360011146284868864","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity"}]},{"@id":"https://cir.nii.ac.jp/crid/1360292620010261248","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Lesion type and reader experience affect the diagnostic accuracy of breast MRI: A multiple reader ROC study"}]},{"@id":"https://cir.nii.ac.jp/crid/1360580232159300480","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"MR Imaging Findings of Carcinoma Ex Pleomorphic Adenoma Related to Extracapsular Invasion and Prognosis"}]},{"@id":"https://cir.nii.ac.jp/crid/1360853567796270080","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Radiogenomics of gastroenterological cancer: The dawn of personalized medicine with artificial intelligence‐based image analysis"}]},{"@id":"https://cir.nii.ac.jp/crid/1360855568452319488","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Histogram analysis of apparent diffusion coefficient maps for differentiating malignant from benign parotid gland tumors"}]},{"@id":"https://cir.nii.ac.jp/crid/1361137046545338112","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Parotid Gland Tumors: Can Addition of Diffusion-weighted MR Imaging to Dynamic Contrast-enhanced MR Imaging Improve Diagnostic Accuracy in Characterization?"}]},{"@id":"https://cir.nii.ac.jp/crid/1361418518433370240","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Apparent diffusion coefficients of benign and malignant salivary gland tumors. Comparison to histopathological findings"}]},{"@id":"https://cir.nii.ac.jp/crid/1361418519162111872","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Radiomic Machine-Learning Classifiers for Prognostic Biomarkers of Head and Neck Cancer"}]},{"@id":"https://cir.nii.ac.jp/crid/1361418520582715776","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Regularization and Variable Selection Via the Elastic Net"}]},{"@id":"https://cir.nii.ac.jp/crid/1361418521490702208","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Influence of inter-observer delineation variability on radiomics stability in different tumor sites"}]},{"@id":"https://cir.nii.ac.jp/crid/1361699993501080832","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"3D Variation in delineation of head and neck organs at risk"}]},{"@id":"https://cir.nii.ac.jp/crid/1362825895449273216","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Diffusion-Weighted Echo-Planar MR Imaging of Primary Parotid Gland Tumors: Is a Prediction of Different Histologic Subtypes Possible?"}]},{"@id":"https://cir.nii.ac.jp/crid/1362825895651790464","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"The impact of FNAC in the management of salivary gland lesions: Institutional experiences leading to a risk‐based classification scheme"}]},{"@id":"https://cir.nii.ac.jp/crid/1362825896280204672","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Role of Fine Needle Aspiration Cytology in the Diagnosis of Swellings in the Salivary Gland Regions: A Study of 712 Cases"}]},{"@id":"https://cir.nii.ac.jp/crid/1363107371246900864","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Texture‐based and diffusion‐weighted discrimination of parotid gland lesions on MR images at 3.0 Tesla"}]},{"@id":"https://cir.nii.ac.jp/crid/1363388845454095872","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Histogram analysis of apparent diffusion coefficient maps in the prognosis of patients with locally advanced head and neck squamous cell carcinoma: Comparison of different region of interest selection methods"}]},{"@id":"https://cir.nii.ac.jp/crid/1363670319253533440","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Carcinoma ex pleomorphic adenoma of the parotid gland"}]},{"@id":"https://cir.nii.ac.jp/crid/1363670320978244608","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Carcinoma Ex Pleomorphic Adenoma of the Parotid Gland: Radiologic-Pathologic Correlation with MR Imaging Including Diffusion-Weighted Imaging"}]},{"@id":"https://cir.nii.ac.jp/crid/1363951794126862848","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Carcinoma Ex Benign Pleomorphic Adenoma of the Parotid Gland"}]},{"@id":"https://cir.nii.ac.jp/crid/1363951794286503296","@type":"Article","relationType":["references"],"jpcoar:relatedTitle":[{"@value":"Fine-needle sampling findings in 26 carcinoma ex pleomorphic adenomas: Diagnostic pitfalls and clinical considerations"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1007/s11604-019-00908-1"},{"@type":"CIA","@value":"210000165617"},{"@type":"OPENAIRE","@value":"doi_dedup___::61bbd817b870d07288ddd066eb186d81"},{"@type":"CROSSREF","@value":"10.3174/ajnr.a7656_references_DOI_LvweEiaQjLKD4HbQVnKmcbefkfv"},{"@type":"CROSSREF","@value":"10.1002/ags3.12437_references_DOI_LvweEiaQjLKD4HbQVnKmcbefkfv"}]}