The role of visual rating and automated brain volumetry in early detection and differential diagnosis of Alzheimer's disease
© 2023 The Authors. CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd..
BACKGROUND: Medial temporal lobe atrophy (MTA) is a diagnostic marker for mild cognitive impairment (MCI) and Alzheimer's disease (AD), but the accuracy of quantitative MTA (QMTA) in diagnosing early AD is unclear. This study aimed to investigate the accuracy of QMTA and its related components (inferior lateral ventricle [ILV] and hippocampus) with MTA in the early diagnosis of MCI and AD.
METHODS: This study included four groups: normal (NC), MCI stable (MCIs), MCI converted to AD (MCIs), and mild AD (M-AD) groups. Magnetic resonance image analysis software was used to quantify the hippocampus, ILV, and QMTA. MTA was rated by two experienced neurologists. Receiver operating characteristic area under the curve (AUC) analysis was performed to compare their capability in differentiating AD from NC and MCI, and optimal thresholds were determined using the Youden index.
RESULTS: QMTA distinguished M-AD from NC and MCI with higher diagnostic accuracy than MTA, hippocampus, and ILV (AUCNC = 0.976, AUCMCI = 0.836, AUCMCIs = 0.894, AUCMCIc = 0.730). The diagnostic accuracy of QMTA was superior to that of MTA, the hippocampus, and ILV in differentiating MCI from AD. The diagnostic accuracy of QMTA was found to remain the best across age, sex, and pathological subgroups analyzed. The sensitivity (92.45%) and specificity (90.64%) were higher in this study when a cutoff value of 0.635 was chosen for QMTA.
CONCLUSIONS: QMTA may be a better choice than the MTA scale or the associated quantitative components alone in identifying AD patients and MCI individuals with higher progression risk.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:30 |
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| Enthalten in: |
CNS neuroscience & therapeutics - 30(2024), 4 vom: 20. Apr., Seite e14492 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Mai, Yingren [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 16.04.2024 Date Revised 25.04.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1111/cns.14492 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM363567674 |
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| 100 | 1 | |a Mai, Yingren |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The role of visual rating and automated brain volumetry in early detection and differential diagnosis of Alzheimer's disease |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
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| 500 | |a Date Completed 16.04.2024 | ||
| 500 | |a Date Revised 25.04.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2023 The Authors. CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd. | ||
| 520 | |a BACKGROUND: Medial temporal lobe atrophy (MTA) is a diagnostic marker for mild cognitive impairment (MCI) and Alzheimer's disease (AD), but the accuracy of quantitative MTA (QMTA) in diagnosing early AD is unclear. This study aimed to investigate the accuracy of QMTA and its related components (inferior lateral ventricle [ILV] and hippocampus) with MTA in the early diagnosis of MCI and AD | ||
| 520 | |a METHODS: This study included four groups: normal (NC), MCI stable (MCIs), MCI converted to AD (MCIs), and mild AD (M-AD) groups. Magnetic resonance image analysis software was used to quantify the hippocampus, ILV, and QMTA. MTA was rated by two experienced neurologists. Receiver operating characteristic area under the curve (AUC) analysis was performed to compare their capability in differentiating AD from NC and MCI, and optimal thresholds were determined using the Youden index | ||
| 520 | |a RESULTS: QMTA distinguished M-AD from NC and MCI with higher diagnostic accuracy than MTA, hippocampus, and ILV (AUCNC = 0.976, AUCMCI = 0.836, AUCMCIs = 0.894, AUCMCIc = 0.730). The diagnostic accuracy of QMTA was superior to that of MTA, the hippocampus, and ILV in differentiating MCI from AD. The diagnostic accuracy of QMTA was found to remain the best across age, sex, and pathological subgroups analyzed. The sensitivity (92.45%) and specificity (90.64%) were higher in this study when a cutoff value of 0.635 was chosen for QMTA | ||
| 520 | |a CONCLUSIONS: QMTA may be a better choice than the MTA scale or the associated quantitative components alone in identifying AD patients and MCI individuals with higher progression risk | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Alzheimer's disease | |
| 650 | 4 | |a automated brain volumetry | |
| 650 | 4 | |a medial temporal lobe atrophy scale | |
| 650 | 4 | |a mild cognitive impairment | |
| 650 | 4 | |a quantitative MTA | |
| 650 | 4 | |a structural magnetic resonance imaging | |
| 700 | 1 | |a Cao, Zhiyu |e verfasserin |4 aut | |
| 700 | 1 | |a Zhao, Lei |e verfasserin |4 aut | |
| 700 | 1 | |a Yu, Qun |e verfasserin |4 aut | |
| 700 | 1 | |a Xu, Jiaxin |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Wenyan |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Bowen |e verfasserin |4 aut | |
| 700 | 1 | |a Tang, Jingyi |e verfasserin |4 aut | |
| 700 | 1 | |a Luo, Yishan |e verfasserin |4 aut | |
| 700 | 1 | |a Liao, Wang |e verfasserin |4 aut | |
| 700 | 1 | |a Fang, Wenli |e verfasserin |4 aut | |
| 700 | 1 | |a Ruan, Yuting |e verfasserin |4 aut | |
| 700 | 1 | |a Lei, Ming |e verfasserin |4 aut | |
| 700 | 1 | |a Mok, Vincent C T |e verfasserin |4 aut | |
| 700 | 1 | |a Shi, Lin |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Jun |e verfasserin |4 aut | |
| 700 | 0 | |a Alzheimer's Disease Neuroimaging Initiative |e verfasserin |4 aut | |
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