Topographic staging of tau positron emission tomography images

It has been proposed that the signal distribution on tau positron emission tomography (PET) images could be used to define pathologic stages similar to those seen in neuropathology. Three topographic staging schemes for tau PET, two sampling the temporal and occipital subregions only and one samplin...

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Published inAlzheimer's & dementia : diagnosis, assessment & disease monitoring Vol. 10; no. 1; pp. 221 - 231
Main Authors Schwarz, Adam J., Shcherbinin, Sergey, Slieker, Lawrence J., Risacher, Shannon L., Charil, Arnaud, Irizarry, Michael C., Fleisher, Adam S., Southekal, Sudeepti, Joshi, Abhinay D., Devous, Michael D., Miller, Bradley B., Saykin, Andrew J.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 2018
Elsevier
Wiley
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Summary:It has been proposed that the signal distribution on tau positron emission tomography (PET) images could be used to define pathologic stages similar to those seen in neuropathology. Three topographic staging schemes for tau PET, two sampling the temporal and occipital subregions only and one sampling cortical gray matter across the major brain lobes, were evaluated on flortaucipir F 18 PET images in a test-retest scenario and from Alzheimer's Disease Neuroimaging Initiative 2. All three schemes estimated stages that were significantly associated with amyloid status and when dichotomized to tau positive or negative were 90% to 94% concordant in the populations identified. However, the schemes with fewer regions and simpler decision rules yielded more robust performance in terms of fewer unclassified scans and increased test-retest reproducibility of assigned stage. Tau PET staging schemes could be useful tools to concisely index the regional involvement of tau pathology in living subjects. Simpler schemes may be more robust.
Bibliography:http://adni.loni.usc.edu/wp‐content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf
As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at
Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database
adni.loni.usc.edu
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Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report. A complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf.
ISSN:2352-8729
2352-8729
DOI:10.1016/j.dadm.2018.01.006