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Cited 31 time in webofscience Cited 32 time in scopus
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A Nomogram for Predicting Amyloid PET Positivity in Amnestic Mild Cognitive Impairment

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dc.contributor.authorKim, Si Eun-
dc.contributor.authorWoo, Sookyoung-
dc.contributor.authorKim, Seon Woo-
dc.contributor.authorChin, Juhee-
dc.contributor.authorKim, Hee Jin-
dc.contributor.authorLee, Byung In-
dc.contributor.authorPark, Jinse-
dc.contributor.authorPark, Kyung Won-
dc.contributor.authorKang, Do-Young-
dc.contributor.authorNoh, Young-
dc.contributor.authorYe, Byoung Seok-
dc.contributor.authorYoo, Han Soo-
dc.contributor.authorLee, Jin San-
dc.contributor.authorKim, Yeshin-
dc.contributor.authorKim, Seung Joo-
dc.contributor.authorCho, Soo Hyun-
dc.contributor.authorNa, Duk L.-
dc.contributor.authorLockhart, Samuel N.-
dc.contributor.authorJang, Hyemin-
dc.contributor.authorSeo, Sang Won-
dc.date.available2020-02-27T15:43:51Z-
dc.date.created2020-02-06-
dc.date.issued2018-10-
dc.identifier.issn1387-2877-
dc.identifier.urihttps://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/5297-
dc.description.abstractBackground: Most clinical trials focus on amyloid-beta positive (A beta+) amnestic mild cognitive impairment (aMCI), but screening failures are high because only a half of patients with aMCI are positive on A beta PET. Therefore, it becomes necessary for clinicians to predict which patients will have A beta biomarker. Objective: We aimed to compare clinical factors, neuropsychological (NP) profiles, and apolipoprotein E (APOE) genotype between A beta+ aMCI and A beta- aMCI and to develop a clinically useful prediction model of A beta positivity on PET (PET-A beta) in aMCI using a nomogram. Methods: We recruited 523 aMCI patients who underwent A beta PET imaging in a nation-wide multicenter cohort. The results of NP measures were divided into following subgroups: 1) Stage (Early and Late-stage), 2) Modality (Visual, Verbal, and Both), 3) Recognition failure, and 4) Multiplicity (Single and Multiple). A nomogram for PET-A beta+ in aMCI patients was constructed using a logistic regression model. Results: PET-A beta+ had significant associations with NP profiles for several items, including high Clinical Dementia Rating Scale Sum of Boxes score (OR 1.47, p= 0.013) and impaired memory modality (impaired both visual and verbal memories compared with visual only, OR 3.25, p =0.001). Also, presence of APOE epsilon 4 (OR 4.14, p <0.001) was associated with PET-A beta+. These predictors were applied to develop the nomogram, which showed good prediction performance (C-statistics = 0.79). Its prediction performances were 0.77/0.74 in internal/external validation. Conclusions: The nomogram consisting of NP profiles, especially memory domain, and APOE epsilon 4 genotype may provide a useful predictive model of PET-A beta+ in patients with aMCI.-
dc.language영어-
dc.language.isoen-
dc.publisherIOS PRESS-
dc.relation.isPartOfJOURNAL OF ALZHEIMERS DISEASE-
dc.titleA Nomogram for Predicting Amyloid PET Positivity in Amnestic Mild Cognitive Impairment-
dc.typeArticle-
dc.type.rimsART-
dc.description.journalClass1-
dc.identifier.wosid000451224700021-
dc.identifier.doi10.3233/JAD-180048-
dc.identifier.bibliographicCitationJOURNAL OF ALZHEIMERS DISEASE, v.66, no.2, pp.681 - 691-
dc.identifier.scopusid2-s2.0-85055980015-
dc.citation.endPage691-
dc.citation.startPage681-
dc.citation.titleJOURNAL OF ALZHEIMERS DISEASE-
dc.citation.volume66-
dc.citation.number2-
dc.contributor.affiliatedAuthorNoh, Young-
dc.type.docTypeArticle-
dc.subject.keywordAuthorAmnestic mild cognitive impairment-
dc.subject.keywordAuthoramyloid PET positivity-
dc.subject.keywordAuthorneuropsychological tests-
dc.subject.keywordAuthornomogram-
dc.subject.keywordAuthorprediction-
dc.subject.keywordPlusALZHEIMERS-DISEASE-
dc.subject.keywordPlusBETA DEPOSITION-
dc.subject.keywordPlusPROGRESSION-
dc.subject.keywordPlusATROPHY-
dc.subject.keywordPlusF-18-FLORBETABEN-
dc.subject.keywordPlusHIPPOCAMPAL-
dc.subject.keywordPlusDEMENTIA-
dc.subject.keywordPlusSCANS-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalWebOfScienceCategoryNeurosciences-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
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