scholarly journals Comparison of MR Perfusion and FDG-PET Brain Studies in Patients With Alzheimer’s Disease and Amnestic Mild Cognitive Impairment

2022 ◽  
Author(s):  
Aleksandra Wabik ◽  
Elżbieta Trypka ◽  
Joanna Bladowska ◽  
Mikołaj Statkiewicz ◽  
Marek Sąsiadek ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Fdg Pet ◽  
Cerebral Blood Volume ◽  
Amnestic Mild Cognitive Impairment ◽  
Dynamic Susceptibility ◽  
Dynamic Susceptibility Contrast ◽  
Dsc Mri

Abstract Background: The aim of this study was to compare Dynamic Susceptibility Contrast Enhanced MRI (DSC-MRI) and PET with flurodeoxyglucose (FDG-PET) in the diagnosis of Alzheimer’s Disease (AD) and amnestic Mild Cognitive Impairment (aMCI).Methods: Age and sex matched 27 patients with AD, 39 with aMCI and 16 controls underwent brain DSC-MRI followed by FDG-PET. Values of relative Cerebral Blood Volume (rCBV) and rCBV z-scores from frontal, temporal, parietal and PCG cortices were correlated with the rate of glucose metabolism from PET. Sensitivity, specificity and accuracy of DSC-MRI and FDG-PET in the diagnosis of AD and aMCI were assessed and compared.Results: In AD hypoperfusion was found within all examined locations, while in aMCI in both parietal and temporal cortices and left PCG. FDG-PET showed the greatest hypometabolism in parietal, temporal and left PCG regions in both AD and aMCI. FDG-PET was more accurate in distinguishing aMCI from controls than DSC-MRI. In AD and combined group (AD + aMCI ) there were numerous correlations between DSC-MRI and FDG-PET results. Conclusions: In AD the patterns of hypoperfusion and glucose hypometabolism are similar thus DSC-MRI may be a competitive method to FDG-PET. FDG-PET is a more accurate method in the diagnosis of aMCI.

P2-185 Glucose metabolic patterns in amnestic mild cognitive impairment and Alzheimer's disease; an FDG pet study

2004 ◽  
Vol 25 ◽  
pp. S280
Author(s):  
Kejal Kantarci ◽  
Bradley J. Kemp ◽  
Val J. Lowe ◽  
Ronald C. Petersen ◽  
Bradley F. Boeve ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Fdg Pet ◽  
Amnestic Mild Cognitive Impairment

Clinical, Neuropsychological, and Neuroimaging Characteristics of Amyloid-positive vs. Amyloid-negative Patients with Clinically Diagnosed Alzheimer’s Disease and Amnestic Mild Cognitive Impairment

2021 ◽  
Vol 18 ◽  
Author(s):  
Yue Wang ◽  
Fanghua Lou ◽  
Yonggang Li ◽  
Fang Liu ◽  
Ying Wang ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Fdg Pet ◽  
Verbal Learning ◽  
Amnestic Mild Cognitive Impairment ◽  
Amyloid Deposition ◽  
Metabolic Pattern ◽  
Affective Symptoms

Background: A significant proportion of patients with clinically diagnosed Alzheimer’s disease (AD) and an even higher proportion of patients with amnestic mild cognitive impairment (aMCI) do not show evidence of amyloid deposition on positron emission tomography (PET) with amyloid-binding tracers such as 11C-labeled Pittsburgh Compound B (PiB). Objective: This study aimed to identify clinical, neuropsychological and neuroimaging factors that might suggest amyloid neuropathology in patients with clinically suspected AD or aMCI. Methods: Forty patients with mild to moderate AD and 23 patients with aMCI who were clinically diagnosed in our memory clinic and had PiB PET scans were included. Clinical, neuropsychologi- cal, and imaging characteristics, such as medial temporal lobe atrophy (MTA) and white matter hy- perintensities (WMH) on MRI and metabolic pattern on 18F-labeled fluorodeoxyglucose (FDG) PET, were compared between patients with PiB positive and negative PET results for AD, aMCI, and all subjects combined, respectively. Results: Compared with PiB positive patients, PiB negative patients had a higher prevalence of hy- pertension history, better performance on the Mini-Mental State Examination, the Rey Auditory Verbal Learning Test, and the Judgement of Line Orientation, lower score of MTA, and were less likely to have temporoparietal-predominant hypometabolism on FDG PET. Affective symptoms were less common in PiB negative patients diagnosed with AD, and the Animal Fluency Test score was higher in PiB negative patients diagnosed with aMCI. Conclusion: : In patients with clinically diagnosed AD or aMCI, absence of a history of hyperten- sion, deficits in verbal learning and memory, visuospatial function, semantic verbal fluency, pres- ence of affective symptoms, MTA on MRI, and temporoparietal hypometabolism on FDG PET suggested amyloid deposition in the brain.

Multimodal Classification of Alzheimer’s Disease and Amnestic Mild Cognitive Impairment: Integrated 18F-FDG PET and DTI Study

2021 ◽  
pp. 1-13
Author(s):  
Weihua Li ◽  
Zhilian Zhao ◽  
Min Liu ◽  
Shaozhen Yan ◽  
Yanhong An ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Fdg Pet ◽  
Classification Performance ◽  
Amnestic Mild Cognitive Impairment ◽  
Healthy Controls ◽  
Characteristic Analysis ◽  
18F Fdg

Background: Alzheimer’s disease (AD) is a progressive neurodegenerative disease characterized by cognitive decline and memory impairment. Amnestic mild cognitive impairment (aMCI) is the intermediate stage between normal cognitive aging and early dementia caused by AD. It can be challenging to differentiate aMCI patients from healthy controls (HC) and mild AD patients. Objective: To validate whether the combination of 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) and diffusion tensor imaging (DTI) will improve classification performance compared with that based on a single modality. Methods: A total of thirty patients with AD, sixty patients with aMCI, and fifty healthy controls were included. AD was diagnosed according to the National Institute of Neurological and Communicative Diseases and Stroke/Alzheimer’s Disease and Related Disorders Association (NINCDS-ADRDA) criteria for probable. aMCI diagnosis was based on Petersen’s criteria. The 18F-FDG PET and DTI measures were each used separately or in combination to evaluate sensitivity, specificity, and accuracy for differentiating HC, aMCI, and AD using receiver operating characteristic analysis together with binary logistic regression. The rate of accuracy was based on the area under the curve (AUC). Results: For classifying AD from HC, we achieve an AUC of 0.96 when combining two modalities of biomarkers and 0.93 when using 18F-FDG PET individually. For classifying aMCI from HC, we achieve an AUC of 0.79 and 0.76 using the best individual modality of biomarkers. Conclusion: Our results show that the combination of two modalities improves classification performance, compared with that using any individual modality.

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