Pattern of heterogeneity in normal brain ageing: screening for mild cognitive impairment and its risk of progression with a radiomics model.
Purpose This study aimed to develop a normal brain ageing model based on magnetic resonance imaging and radiomics, therefore identifying radscore, an imaging indicator representing white matter heterogeneity and exploring the significance of radscore in detecting people's cognitive changes. Methods...
| Publicado en: | Age & Ageing Vol. 53; no. 7; pp. 1 - 9 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
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Oxford University Press / USA
Jul2024
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=178718753&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 178718753 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00020729 AGA jtl: Age & Ageing issn: 00020729 maglogo: N pubinfo: dt: Jul2024 vid: 53 iid: 7 pid: 622 pub: Oxford University Press / USA artinfo: ui: 178718753 10.1093/ageing/afae140 ppf: 1 ppct: 8 formats: tig: atl: Pattern of heterogeneity in normal brain ageing: screening for mild cognitive impairment and its risk of progression with a radiomics model. aug: au: Yan, Yuting He, Xiaodong Xu, Yuyun Zhao, Fanfan Peng, Jiaxuan Shao, Yuan affil: Center for Rehabilitation Medicine, Department of Radiology , Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou 310014, Zhejiang, China su: Aging Disease risk factors Brain physiology Risk assessment Mild cognitive impairment Prediction models Research funding Receiver operating characteristic curves Radiomics Magnetic resonance imaging Descriptive statistics Kaplan-Meier estimator White matter (Nerve tissue) sug: subj: Aging Disease risk factors Diagnostic Imaging Centers Brain physiology Risk assessment Mild cognitive impairment Prediction models Research funding Receiver operating characteristic curves Radiomics Magnetic resonance imaging Descriptive statistics Kaplan-Meier estimator White matter (Nerve tissue) keyword: Alzheimer's disease brain ageing heterogeneity mild cognitive impairment older people radiomics Alzheimer's disease brain ageing heterogeneity mild cognitive impairment older people radiomics ab: Purpose This study aimed to develop a normal brain ageing model based on magnetic resonance imaging and radiomics, therefore identifying radscore, an imaging indicator representing white matter heterogeneity and exploring the significance of radscore in detecting people's cognitive changes. Methods Three hundred sixty cognitively normal (CN) subjects from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database and 105 CN subjects from the Parkinson's Progression Markers Initiative database were used to develop the model. In ADNI, 230 mild cognitive impairment (MCI) subjects were matched with 230 CN old-aged subjects to evaluate their heterogeneity difference. One hundred four MCI subjects with 48 months of follow-up were divided into low and high heterogeneity groups. Kaplan–Meier survival curve analysis was used to observe the importance of heterogeneity results for predicting MCI progression. Results The area under the receiver operating characteristic curve of the model in the training, internal test and external test sets was 0.7503, 0.7512 and 0.7514, respectively. There was a significantly positive correlation between age and radscore of CN subjects (r = 0.501; P < .001). The radscore of MCI subjects was significantly higher than that of matched CN subjects (P < .001). The median radscore ratios of MCI to CN from four age groups (66–70y, 71–75y, 76–80y and 81–85y) were 1.611, 1.760, 1.340 and 1.266, respectively. The probability to progression of low and high heterogeneity groups had a significant difference (P = .002). Conclusion When radscore is significantly higher than that of normal ageing, it is necessary to alert the possibility of cognitive impairment and deterioration. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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