Direct comparison of fluorodeoxyglucose positron emission tomography and arterial spin labeling magnetic resonance imaging in Alzheimer's disease

Musiek, Erik S.; Chen, Yu-Fen; Korczykowski, Marc; Saboury, Babak; Martínez, Patricia; Reddin, Janet S.; Alavi, Abass; Kimberg, Daniel Y.; Wolk, David A.; Julin, Per; Newberg, Andrew; Arnold, Steven E.; Detre, John A.

doi:10.1016/j.jalz.2011.06.003

Cited by 156 publications

(140 citation statements)

References 26 publications

(27 reference statements)

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“…Despite these limitations, the practical clinical implications of this report add to other reports25, 26, 27 suggesting that ALS‐MRI has a similar sensitivity and specificity to FDG‐PET for detecting brain changes due to AD and bvFTD. MRI examinations are noninvasive without ionizing radiation.…”

Section: Discussionmentioning

confidence: 58%

“…In addition, prior studies have indicated that the diagnostic value of ASL‐MRI is similar to that of FDG‐PET in AD 25, 26. Several prior studies have shown that patterns of perfusion are different in AD and bvFTD,18, 19, 20 and one prior study from Europe has supported the idea that diagnostic value of ASL‐MRI is similar to the diagnostic value of FDG‐PET 19.…”

Section: Discussionmentioning

confidence: 91%

“…Studies have indicated that community radiologists often fail to identify potentially diagnostic findings in structural MRIs 48. While no studies have assessed the diagnostic accuracy of FDG‐PET in FTD in community as opposed to academic settings, prior studies have demonstrated that visual interpretation of FDG‐PET can accurately diagnose FTD,49, 50 and studies of AD have demonstrated that inter‐reader agreement and confidence are higher for visual interpretation of FDG‐PET compared with ASL‐MRI 26. This represents an advantage for FDG‐PET, given current clinical practice.…”

Section: Discussionmentioning

confidence: 99%

“…One study has demonstrated that ASL‐MRI improves diagnostic classification of bvFTD versus age‐matched controls 19. In AD, studies have demonstrated that patterns of CBF deficits detected with ASL‐MRI are roughly similar to metabolic deficits identified using FDG‐PET,25, 26, 27 and that both imaging modalities have similar diagnostic value in AD 26. Although recent studies have indicated that patterns of CBF abnormalities and patterns of metabolic deficits are also similar in bvFTD,25 no studies have yet compared the diagnostic value of CBF measures from ASL‐MRI with the diagnostic utility of CMRgl measures from FDG‐PET in differentiating bvFTD from other dementias such as AD.…”

Section: Introductionmentioning

confidence: 99%

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Diagnostic utility of ASL‐MRI and FDG‐PET in the behavioral variant of FTD and AD

Tosun

Schuff

Rabinovici

et al. 2016

Ann Clin Transl Neurol

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ObjectiveTo compare the values of arterial spin‐labeled (ASL) MRI and fluorodeoxyglucose (FDG) PET in the diagnosis of behavioral variant of frontotemporal dementia (bvFTD) and Alzheimer's disease (AD).MethodsPartial least squares logistic regression was used to identify voxels with diagnostic value in cerebral blood flow (CBF) and cerebral metabolic rate of glucose (CMRgl) maps from patients with bvFTD (n = 32) and AD (n = 28), who were compared with each other and with cognitively normal controls (CN, n = 15). Diagnostic values of these maps were compared with each other.ResultsRegions that differentiated each disorder from controls were similar for CBF and CMRgl. For differentiating AD from CN, the areas under the curve (AUC) for CBF (0.89) and CMRgl (0.91) were similar, with similar sensitivity (CBF: 86%, CMRgl: 78%) and specificity (CBF: 92%, CMRgl: 100%). Likewise, for differentiating bvFTD from CN performances of CBF (AUC = 0.83) and CMRgl (AUC = 0.85) were equivalent, with similar sensitivity (CBF: 78%, CMRgl: 79%) and specificity (CBF: 92%, CMRgl: 100%). In differentiating bvFTD from AD, classification was again similar for CBF (AUC = 0.87) and CMRgl (AUC = 0.79), as were sensitivity (CBF: 83%, CMRgl: 89%) and specificity (CBF: 93%, CMRgl: 78%). None of the differences in any performance measure were statistically significant.InterpretationASL‐MRI has similar diagnostic utility as FDG‐PET in the diagnosis of AD and bvFTD. Continued development of ASL‐MRI as a diagnostic tool for neurodegenerative dementias is warranted.

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Section: Discussionmentioning

confidence: 58%

Section: Discussionmentioning

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Diagnostic utility of ASL‐MRI and FDG‐PET in the behavioral variant of FTD and AD

Tosun

Schuff

Rabinovici

et al. 2016

Ann Clin Transl Neurol

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“…These co-registered images were spatially normalized to a MNI atlas space. The partial volume correction was performed using results with more than 25% of the maximal regional intensity [17]. The mean standard uptake value ratio (SUVr) in the cerebellum GM was used as a reference.…”

Section: Pet Analysesmentioning

confidence: 99%

P2‐143: Prediction of Alzheimer's disease pathophysiology based on cortical thickness patterns

Hwang

Kim

Jeon

et al. 2015

Alzheimer's & Dementia

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Introduction: Recent studies have shown that pathologically defined subtypes of Alzheimer's disease (AD) represent distinctive atrophy patterns and clinical characteristics. We investigated whether a cortical thickness-based clustering method can reflect such findings. Methods: A total of 77 AD subjects from the Alzheimer's Disease Neuroimaging Initiative 2 data set who underwent 3-T magnetic resonance imaging, [ 18 F]-fluorodeoxyglucose-positron emission tomography (PET), [ 18 F]-Florbetapir PET, and cerebrospinal fluid (CSF) tests were enrolled. After clustering based on cortical thickness, diverse imaging and biofluid biomarkers were compared between these groups. Results: Three cortical thinning patterns were noted: medial temporal (MT; 19.5%), diffuse (55.8%), and parietal dominant (P; 24.7%) atrophy subtypes. The P subtype was the youngest and represented more glucose hypometabolism in the parietal and occipital cortices and marked amyloid-beta accumulation in most brain regions. The MT subtype revealed more glucose hypometabolism in the left hippocampus and bilateral frontal cortices and less performance in memory tests. CSF test results did not differ between the groups. Discussion: Cortical thickness patterns can reflect pathophysiological and clinical changes in AD.

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Energy Failure

Pathak

Berthet

Nakamura

2013

Annals of Neurology

130

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Energy failure from mitochondrial dysfunction is proposed to be a central mechanism leading to neuronal death in a range of neurodegenerative diseases. However, energy failure has never been directly demonstrated in affected neurons in these diseases, nor has it been proved to produce degeneration in disease models. Therefore, despite considerable indirect evidence, it is not known whether energy failure truly occurs in susceptible neurons, and whether this failure is responsible for their death. This limited understanding results primarily from a lack of sensitivity and resolution of available tools and assays and the inherent limitations of in vitro model systems. Major advances in these methodologies and approaches should greatly enhance our understanding of the relationship between energy failure, neuronal dysfunction, and death, and help us to determine whether boosting bioenergetic function would be an effective therapeutic approach. Here we review the current evidence that energy failure occurs in and contributes to neurodegenerative disease, and consider new approaches that may allow us to better address this central issue.

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Direct comparison of fluorodeoxyglucose positron emission tomography and arterial spin labeling magnetic resonance imaging in Alzheimer's disease

Cited by 156 publications

References 26 publications

Diagnostic utility of ASL‐MRI and FDG‐PET in the behavioral variant of FTD and AD

Diagnostic utility of ASL‐MRI and FDG‐PET in the behavioral variant of FTD and AD

P2‐143: Prediction of Alzheimer's disease pathophysiology based on cortical thickness patterns

Energy Failure

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