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Articles by Reisa Sperling
Total Records ( 2 ) for Reisa Sperling
  Maria C. Carrillo , Andrew Blackwell , Harald Hampel , Johan Lindborg , Reisa Sperling , Dale Schenk , Jeffrey J. Sevigny , Steven Ferris , David A. Bennett , Suzanne Craft , Timothy Hsu and William Klunk
  The purpose of the Alzheimer's Association Research Roundtable meeting was to discuss the potential of finding diagnostic tools to determine the earliest risk factors for Alzheimer's disease (AD). Currently, drugs approved for AD address symptoms which are generally manifest after the disease is already well-established, but there is a growing pipeline of drugs that may alter the underlying pathology and therefore slow or halt progression of the disease. As these drugs become available, it will become increasingly imperative that those at risk for AD be detected and possibly treated early, especially given recent indications that the disease process may start decades before the first clinical symptoms are recognized. Early detection must go hand-in-hand with qualified tools to determine the efficacy of drugs in people who may be asymptomatic or who have only very mild symptoms of the disease. Devising strategies and screening tools to identify and monitor those at risk in order to perform ”prevention” trials is seen by many as a top public-health priority, made all the more urgent by an impending growth in the elderly population worldwide.
  Clifford R. Jack , Frederik Barkhof , Matt A. Bernstein , Marc Cantillon , Patricia E. Cole , Charles DeCarli , Bruno Dubois , Simon Duchesne , Nick C. Fox , Giovanni B. Frisoni , Harald Hampel , Derek L.G. Hill , Keith Johnson , Jean-Francois Mangin , Philip Scheltens , Adam J. Schwarz , Reisa Sperling , Joyce Suhy , Paul M. Thompson , Michael Weiner and Norman L. Foster
  Background The promise of Alzheimer‘s disease biomarkers has led to their incorporation in new diagnostic criteria and in therapeutic trials; however, significant barriers exist to widespread use. Chief among these is the lack of internationally accepted standards for quantitative metrics. Hippocampal volumetry is the most widely studied quantitative magnetic resonance imaging measure in Alzheimer‘s disease and thus represents the most rational target for an initial effort at standardization. Methods and Results The authors of this position paper propose a path toward this goal. The steps include the following: (1) Establish and empower an oversight board to manage and assess the effort, (2) adopt the standardized definition of anatomic hippocampal boundaries on magnetic resonance imaging arising from the European Alzheimer‘s Disease Centers–Alzheimer‘s Disease Neuroimaging Initiative hippocampal harmonization effort as a reference standard, (3) establish a scientifically appropriate, publicly available reference standard data set based on manual delineation of the hippocampus in an appropriate sample of subjects (Alzheimer‘s Disease Neuroimaging Initiative), and (4) define minimum technical and prognostic performance metrics for validation of new measurement techniques using the reference standard data set as a benchmark. Conclusions Although manual delineation of the hippocampus is the best available reference standard, practical application of hippocampal volumetry will require automated methods. Our intent was to establish a mechanism for credentialing automated software applications to achieve internationally recognized accuracy and prognostic performance standards that lead to the systematic evaluation and then widespread acceptance and use of hippocampal volumetry. The standardization and assay validation process outlined for hippocampal volumetry was envisioned as a template that could be applied to other imaging biomarkers.
 
 
 
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