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Articles by David A. Wolk
Total Records ( 4 ) for David A. Wolk
  Erik S. Musiek , Yufen Chen , Marc Korczykowski , Babak Saboury , Patricia M. Martinez , Janet S. Reddin , Abass Alavi , Daniel Y. Kimberg , David A. Wolk , Per Julin , Andrew B. Newberg , Steven E. Arnold and John A. Detre
  Background The utility of fluorodeoxyglucose positron emission tomography (FDG-PET) imaging in Alzheimer‘s disease (AD) diagnosis has been well established. Recently, measurement of cerebral blood flow using arterial spin labeling magnetic resonance imaging (ASL-MRI) has shown diagnostic potential in AD, although it has never been directly compared with FDG-PET. Methods We used a novel imaging protocol to obtain FDG-PET and ASL-MRI images concurrently in 17 AD patients and 19 age-matched control subjects. Paired FDG-PET and ASL-MRI images from 19 control subjects and 15 AD patients were included for qualitative analysis, and paired images from 18 control subjects and 13 AD patients were suitable for quantitative analyses. Results The combined imaging protocol was well tolerated. Both modalities revealed similar regional abnormalities in AD, as well as comparable sensitivity and specificity for the detection of AD after visual review by two expert readers. Interobserver agreement was better for FDG-PET (κ: 0.75, standard error: 0.12) than ASL-MRI (κ: 0.51, standard error: 0.15); intermodality agreement was moderate to strong (κ: 0.45–0.61); and readers were more confident of FDG-PET reads. Simple quantitative analysis of global cerebral fluorodeoxyglucose uptake (FDG-PET) or whole-brain cerebral blood flow (ASL-MRI) showed excellent diagnostic accuracy for both modalities, with area under receiver operating characteristic curves of 0.90 for FDG-PET (95% confidence interval: 0.79–0.99) and 0.91 for ASL-MRI (95% confidence interval: 0.80–1.00). Conclusions Our results demonstrate that FDG-PET and ASL-MRI identify similar regional abnormalities and have comparable diagnostic accuracy in a small population of AD patients, and support the further study of ASL-MRI in dementia diagnosis.
  David A. Wolk , Julie C. Price , Charles Madeira , Judy A. Saxton , Beth E. Snitz , Oscar L. Lopez , Chester A. Mathis , William E. Klunk and Steven T. mailto:[email protected]:[email protected]
  Background With the potential emergence of disease specific therapies, an accurate biomarker of Alzheimer‘s Disease pathology is needed in cases in which the underlying etiology is uncertain. We explored the potential value of amyloid imaging in patients with atypical presentations of dementia. Methods Twenty-eight patients with atypical dementia underwent positron emission tomography imaging with the amyloid imaging tracer Pittsburgh compound B (PiB). Twenty-six had [18F]fluoro-2-deoxy-D-glucose positron emission tomography scans. After extensive clinical evaluation, this group of patients generated considerable diagnostic uncertainty and received working diagnoses that included possible Alzheimer‘s disease (AD), focal dementias (e.g., posterior cortical atrophy [PCA]), or cases in which no clear diagnostic category could be determined (dementia of uncertain etiology). Patients were classified as PiB-positive, PiB-negative, or PiB-intermediate, based on objective criteria. Anterior–posterior and left–right indices of PiB and [18F]fluoro-2-deoxy-D-glucose uptake were calculated to examine differences in distribution of amyloid pathology and metabolic changes associated with clinical phenotype. Results Eleven patients (39%) were PiB positive, 16 were PiB negative (57%), and one (4%) was PiB intermediate. By diagnostic category, three of 10 patients (30%) with dementia of uncertain etiology, one of five (20%) with primary progressive aphasia, three of five (60%) with PCA, and four of seven (57%) with possible AD were PiB positive. Brain metabolism of both PiB-positive and PiB-negative patients was generally similar by phenotype, but appeared to differ from typical AD. PCA patients also appeared to differ in their relative distribution of PiB compared with typical AD, consistent with their atypical phenotype. Conclusions AD pathology is frequently present in atypical presentations of dementia and can be identified by amyloid imaging. Clinical phenotype is more related to the pattern of cerebral hypometabolism than the presence/absence of amyloid pathology. These findings have diagnostic, prognostic, and therapeutic implications.
  Mary D. Naylor , Jason H. Karlawish , Steven E. Arnold , Ara S. Khachaturian , Zaven S. Khachaturian , Virginia M.-Y. Lee , Matthew Baumgart , Sube Banerjee , Cornelia Beck , Kaj Blennow , Ron Brookmeyer , Kurt R. Brunden , Kathleen C. Buckwalter , Meryl Comer , Kenneth Covinsky , Lynn Friss Feinberg , Giovanni Frisoni , Colin Green , Renato Maia Guimaraes , Lisa P. Gwyther , Franz F. Hefti , Michael Hutton , Claudia Kawas , David M. Kent , Lewis Kuller , Kenneth M. Langa , Robert W. Mahley , Katie Maslow , Colin L. Masters , Diane E. Meier , Peter J. Neumann , Steven M. Paul , Ronald C. Petersen , Mark A. Sager , Mary Sano , Dale Schenk , Holly Soares , Reisa A. Sperling , Sidney M. Stahl , Vivianna van Deerlin , Yaakov Stern , David Weir , David A. Wolk and John Q. Trojanowski
  To address the pending public health crisis due to Alzheimer‘s disease (AD) and related neurodegenerative disorders, the Marian S. Ware Alzheimer Program at the University of Pennsylvania held a meeting entitled "State of the Science Conference on the Advancement of Alzheimer's Diagnosis, Treatment and Care," on June 21-22, 2012. The meeting comprised four workgroups focusing on Biomarkers; Clinical Care and Health Services Research; Drug Development; and Health Economics, Policy, and Ethics. The workgroups shared, discussed, and compiled an integrated set of priorities, recommendations, and action plans, which are presented in this article.
  Mitchel A. Kling , John Q. Trojanowski , David A. Wolk , Virginia M.Y. Lee and Steven E. Arnold
  Vascular disease was once considered the principal cause of aging-related dementia. More recently, however, research emphasis has shifted to studies of progressive neurodegenerative disease processes, such as those giving rise to neuritic plaques, neurofibrillary tangles, and Lewy bodies. Although these studies have led to critical insights and potential therapeutic strategies, interest in the role of systemic and cerebrovascular disease mechanisms waned and has received relatively less attention and research support. Recent studies suggest that vascular disease mechanisms play an important role in the risk for aging-related cognitive decline and disorders. Vascular disease frequently coexists with cognitive decline in aging individuals, shares many risk factors with dementias considered to be of the ”Alzheimer type,“ and is observed more frequently than expected in postmortem material from individuals manifesting ”specific“ disease stigmata, such as abundant plaques and tangles. Considerable difficulties have emerged in attempting to classify dementias as being related to vascular versus neurodegenerative causes, and several systems of criteria have been used. Despite multiple attempts, a lack of consensus remains regarding the optimal means of incorporating vascular disease into clinical diagnostic, neurocognitive, or neuropathologic classification schemes for dementias. We propose here an integrative, rather than a strictly taxonomic, approach to the study and elucidation of how vascular disease mechanisms contribute to the development of dementias. We argue that, instead of discriminating between, for example, ”Alzheimer's disease,“ ”vascular dementia,“ and other diseases, there is a greater need to focus clinical and research efforts on elucidating specific pathophysiologic mechanisms that contribute to dementia phenotypes and neuropathologic outcomes. We outline a multitiered strategy, beginning with clinical and public health interventions that can be implemented immediately, enhancements to ongoing longitudinal studies to increase their informative value, and new initiatives to capitalize on recent advances in systems biology and network medicine. This strategy will require funding from multiple public and private sources to support collaborative and interdisciplinary research efforts to take full advantage of these opportunities and realize their societal benefits.
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