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 in | Alzheimer's & dementia : diagnosis, assessment & disease monitoring Vol. 10; no. 1; pp. 221 - 231 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier Inc
2018
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Abstract | 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. |
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AbstractList | 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. 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.INTRODUCTIONIt 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.METHODSThree 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.RESULTSAll 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.DISCUSSIONTau 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. Abstract Introduction 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. Methods 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. Results 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. Discussion 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. Introduction 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. Methods 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. Results 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. Discussion 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. |
Author | Risacher, Shannon L. Saykin, Andrew J. Southekal, Sudeepti Slieker, Lawrence J. Miller, Bradley B. Shcherbinin, Sergey Devous, Michael D. Fleisher, Adam S. Charil, Arnaud Irizarry, Michael C. Joshi, Abhinay D. Schwarz, Adam J. |
AuthorAffiliation | c Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA d Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA e Avid Radiopharmaceuticals (a Wholly Owned Subsidiary of Eli Lilly and Company), Philadelphia, PA, USA a Eli Lilly and Company, Indianapolis, IN, USA b Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA |
AuthorAffiliation_xml | – name: a Eli Lilly and Company, Indianapolis, IN, USA – name: c Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA – name: e Avid Radiopharmaceuticals (a Wholly Owned Subsidiary of Eli Lilly and Company), Philadelphia, PA, USA – name: b Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA – name: d Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA |
Author_xml | – sequence: 1 givenname: Adam J. surname: Schwarz fullname: Schwarz, Adam J. email: a.schwarz@lilly.com organization: Eli Lilly and Company, Indianapolis, IN, USA – sequence: 2 givenname: Sergey surname: Shcherbinin fullname: Shcherbinin, Sergey organization: Eli Lilly and Company, Indianapolis, IN, USA – sequence: 3 givenname: Lawrence J. surname: Slieker fullname: Slieker, Lawrence J. organization: Eli Lilly and Company, Indianapolis, IN, USA – sequence: 4 givenname: Shannon L. surname: Risacher fullname: Risacher, Shannon L. organization: Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA – sequence: 5 givenname: Arnaud surname: Charil fullname: Charil, Arnaud organization: Eli Lilly and Company, Indianapolis, IN, USA – sequence: 6 givenname: Michael C. surname: Irizarry fullname: Irizarry, Michael C. organization: Eli Lilly and Company, Indianapolis, IN, USA – sequence: 7 givenname: Adam S. surname: Fleisher fullname: Fleisher, Adam S. organization: Eli Lilly and Company, Indianapolis, IN, USA – sequence: 8 givenname: Sudeepti surname: Southekal fullname: Southekal, Sudeepti organization: Avid Radiopharmaceuticals (a Wholly Owned Subsidiary of Eli Lilly and Company), Philadelphia, PA, USA – sequence: 9 givenname: Abhinay D. surname: Joshi fullname: Joshi, Abhinay D. organization: Avid Radiopharmaceuticals (a Wholly Owned Subsidiary of Eli Lilly and Company), Philadelphia, PA, USA – sequence: 10 givenname: Michael D. surname: Devous fullname: Devous, Michael D. organization: Avid Radiopharmaceuticals (a Wholly Owned Subsidiary of Eli Lilly and Company), Philadelphia, PA, USA – sequence: 11 givenname: Bradley B. surname: Miller fullname: Miller, Bradley B. organization: Eli Lilly and Company, Indianapolis, IN, USA – sequence: 12 givenname: Andrew J. surname: Saykin fullname: Saykin, Andrew J. organization: Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA |
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Keywords | AV-1451 Flortaucipir Staging Classification Tau Stage Image Braak T807 Alzheimer PET |
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Notes | 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 . ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 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. |
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Snippet | 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... Introduction It has been proposed that the signal distribution on tau positron emission tomography (PET) images could be used to define pathologic stages... Abstract Introduction It has been proposed that the signal distribution on tau positron emission tomography (PET) images could be used to define pathologic... |
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SubjectTerms | Alzheimer AV-1451 Braak Classification Flortaucipir PET Special Section: State of the Field: Advances in Neuroimaging from the 2017 Alzheimer’s Imaging Consortium. (Guest Editors: Drs. David Wolk, Victor Villemagne & Bradford Dickerson) Stage Staging T807 Tau |
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Title | Topographic staging of tau positron emission tomography images |
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