Changes
On December 12, 2023 at 3:18:06 PM +0800, Albert Yang:
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Updated description of Dementia Molecular Imaging Clinical Database at Taipei Veterans General Hospital from
Dementia involves both changes in local cerebral blood flow and metabolic function. Two types of molecular imaging, single-photon emission computed tomography (SPECT) and fluorodeoxyglucose positron emission tomography (FDG-PET), are currently powerful tools in the clinical diagnosis of dementia. By analyzing the patterns of cerebral blood flow and glucose metabolism, a high correlation between them has been found. Therefore, this study aims to use SPECT and its corresponding clinical cognitive function norms, employing AI computation, to predict cerebral glucose metabolic function molecular imaging using structural brain imaging MRI, i.e., zero-dose FDG-PET. This assists in the early diagnosis of individuals at high risk of dementia while reducing radiation exposure and medical expenses. It also addresses the current situation where the prevalence of positron emission imaging is much lower than magnetic resonance imaging.
to##Overview## This dataset forms the foundation of a pioneering study aimed at understanding and diagnosing dementia through advanced imaging techniques. It encapsulates data from two molecular imaging methods: Single-Photon Emission Computed Tomography (SPECT) and Fluorodeoxyglucose Positron Emission Tomography (FDG-PET), which are instrumental in the clinical diagnosis of dementia. The study explores the relationship between local cerebral blood flow and metabolic function changes, leveraging the high correlation found between cerebral blood flow patterns and glucose metabolism.
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t | 27 | "notes": "Dementia involves both changes in local cerebral blood | t | 27 | "notes": "##Overview##\r\n\r\nThis dataset forms the foundation of a |
28 | flow and metabolic function. Two types of molecular imaging, | 28 | pioneering study aimed at understanding and diagnosing dementia | ||
29 | single-photon emission computed tomography (SPECT) and | 29 | through advanced imaging techniques. It encapsulates data from two | ||
30 | molecular imaging methods: Single-Photon Emission Computed Tomography | ||||
30 | fluorodeoxyglucose positron emission tomography (FDG-PET), are | 31 | (SPECT) and Fluorodeoxyglucose Positron Emission Tomography (FDG-PET), | ||
31 | currently powerful tools in the clinical diagnosis of dementia. By | 32 | which are instrumental in the clinical diagnosis of dementia. The | ||
32 | analyzing the patterns of cerebral blood flow and glucose metabolism, | 33 | study explores the relationship between local cerebral blood flow and | ||
33 | a high correlation between them has been found. Therefore, this study | 34 | metabolic function changes, leveraging the high correlation found | ||
34 | aims to use SPECT and its corresponding clinical cognitive function | 35 | between cerebral blood flow patterns and glucose metabolism.", | ||
35 | norms, employing AI computation, to predict cerebral glucose metabolic | ||||
36 | function molecular imaging using structural brain imaging MRI, i.e., | ||||
37 | zero-dose FDG-PET. This assists in the early diagnosis of individuals | ||||
38 | at high risk of dementia while reducing radiation exposure and medical | ||||
39 | expenses. It also addresses the current situation where the prevalence | ||||
40 | of positron emission imaging is much lower than magnetic resonance | ||||
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