Citations

ObjectivesTo assess [18F]AV‐1451 tau‐PET (positron emission tomography) uptake patterns across the primary progressive aphasia (PPA) variants (logopenic, semantic, and agrammatic), examine regional uptake patterns of [18F]AV‐1451 independent of clinical diagnosis, and compare the diagnostic utility of [18F]AV‐1451, [18F]‐fluorodeoxygluclose (FDG)‐PET and MRI (magnetic resonance imaging) to differentiate the PPA variants.MethodsWe performed statistical parametric mapping of [18F]AV‐1451 across 40 PPA patients (logopenic‐PPA = 14, semantic‐PPA = 13, and agrammatic‐PPA = 13) compared to 80 cognitively normal, Pittsburgh compound B–negative controls, age and gender matched 2:1. Principal component analysis of regional [18F]AV‐1451 tau‐PET standard uptake value ratio was performed to understand underlying patterns of [18F]AV‐1451 uptake independent of clinical diagnosis. Penalized multinomial regression analyses were utilized to assess diagnostic utility.ResultsLogopenic‐PPA showed striking uptake throughout neocortex, particularly temporoparietal, compared to controls, semantic‐PPA, and agrammatic‐PPA. Semantic‐PPA and agrammatic‐PPA showed milder patterns of focal [18F]AV‐1451 uptake. Semantic‐PPA showed elevated uptake (left>right) in anteromedial temporal lobes, compared to controls and agrammatic‐PPA. Agrammatic‐PPA showed elevated uptake (left>right) throughout prefrontal white matter and in subcortical gray matter structures, compared to controls and semantic‐PPA. The principal component analysis of regional [18F]AV‐1451 indicated two primary dimensions, a severity dimension that distinguished logopenic‐PPA from agrammatic‐PPA and semantic‐PPA, and a frontal versus temporal contrast that distinguishes agrammatic‐PPA and semantic‐PPA cases. Diagnostic utility of [18F]AV‐1451was superior to MRI and at least equal to FDG‐PET.Interpretation[18F]AV‐1451binding characteristics differ across the PPA variants and were excellent at distinguishing between the variants. [18F]AV‐1451binding characteristics were as good or better than other brain imaging modalities utilized in clinical practice, suggesting that [18F]AV‐1451 may have clinical diagnostic utility in PPA. Ann Neurol 2018 Ann Neurol 2018;83:599–611

Freely available software, derived from the past 2 decades of neuroimaging research, is significantly more flexible for research purposes than presently available clinical tools. Here, we describe and demonstrate the utility of rapidly deployable analysis software to facilitate trainee-driven translational neuroimaging research. A recipe and video tutorial were created to guide the creation of a NeuroDebian-based virtual computer that conforms to current neuroimaging research standards and can exist within a HIPAA-compliant system. This allows for retrieval of clinical imaging data, conversion to standard file formats, and rapid visualization and quantification of individual patients’ cortical and subcortical anatomy. As an example, we apply this pipeline to a pediatric patient’s data to illustrate the advantages of research-derived neuroimaging tools in asking quantitative questions “at the bedside.” Our goal is to provide a path of entry for trainees to become familiar with common neuroimaging tools and foster an increased interest in translational research.