The influence of biological and technical factors on quantitative analysis of amyloid PET: Points to consider and recommendations for controlling variability in longitudinal data
Abstract In vivo imaging of amyloid burden with positron emission tomography (PET) provides a means for studying the pathophysiology of Alzheimer's and related diseases. Measurement of subtle changes in amyloid burden requires quantitative analysis of image data. Reliable quantitative analysis...
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| Veröffentlicht in: | Alzheimer's & dementia 2015-09, Vol.11 (9), p.1050-1068 |
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| creator | Schmidt, Mark E Chiao, Ping Klein, Gregory Matthews, Dawn Thurfjell, Lennart Cole, Patricia E Margolin, Richard Landau, Susan Foster, Norman L Mason, N. Scott De Santi, Susan Suhy, Joyce Koeppe, Robert A Jagust, William |
| description | Abstract In vivo imaging of amyloid burden with positron emission tomography (PET) provides a means for studying the pathophysiology of Alzheimer's and related diseases. Measurement of subtle changes in amyloid burden requires quantitative analysis of image data. Reliable quantitative analysis of amyloid PET scans acquired at multiple sites and over time requires rigorous standardization of acquisition protocols, subject management, tracer administration, image quality control, and image processing and analysis methods. We review critical points in the acquisition and analysis of amyloid PET, identify ways in which technical factors can contribute to measurement variability, and suggest methods for mitigating these sources of noise. Improved quantitative accuracy could reduce the sample size necessary to detect intervention effects when amyloid PET is used as a treatment end point and allow more reliable interpretation of change in amyloid burden and its relationship to clinical course. |
| doi_str_mv | 10.1016/j.jalz.2014.09.004 |
| format | Article |
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Scott ; De Santi, Susan ; Suhy, Joyce ; Koeppe, Robert A ; Jagust, William</creator><creatorcontrib>Schmidt, Mark E ; Chiao, Ping ; Klein, Gregory ; Matthews, Dawn ; Thurfjell, Lennart ; Cole, Patricia E ; Margolin, Richard ; Landau, Susan ; Foster, Norman L ; Mason, N. Scott ; De Santi, Susan ; Suhy, Joyce ; Koeppe, Robert A ; Jagust, William ; Alzheimer's Disease Neuroimaging Initiative</creatorcontrib><description>Abstract In vivo imaging of amyloid burden with positron emission tomography (PET) provides a means for studying the pathophysiology of Alzheimer's and related diseases. Measurement of subtle changes in amyloid burden requires quantitative analysis of image data. Reliable quantitative analysis of amyloid PET scans acquired at multiple sites and over time requires rigorous standardization of acquisition protocols, subject management, tracer administration, image quality control, and image processing and analysis methods. We review critical points in the acquisition and analysis of amyloid PET, identify ways in which technical factors can contribute to measurement variability, and suggest methods for mitigating these sources of noise. Improved quantitative accuracy could reduce the sample size necessary to detect intervention effects when amyloid PET is used as a treatment end point and allow more reliable interpretation of change in amyloid burden and its relationship to clinical course.</description><identifier>ISSN: 1552-5260</identifier><identifier>EISSN: 1552-5279</identifier><identifier>DOI: 10.1016/j.jalz.2014.09.004</identifier><identifier>PMID: 25457431</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>ADNI ; Alzheimer's disease ; Amyloid ; Amyloid - metabolism ; Brain - diagnostic imaging ; Brain - metabolism ; Humans ; Multi-site trials ; Neurology ; Positron emission tomography ; Positron-Emission Tomography - instrumentation ; Positron-Emission Tomography - methods ; Quantitative analysis ; Radiopharmaceuticals ; Within subject variability</subject><ispartof>Alzheimer's & dementia, 2015-09, Vol.11 (9), p.1050-1068</ispartof><rights>The Authors</rights><rights>2015 The Authors</rights><rights>2015 The Alzheimer's Association</rights><rights>Copyright © 2015 The Authors. 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Scott</creatorcontrib><creatorcontrib>De Santi, Susan</creatorcontrib><creatorcontrib>Suhy, Joyce</creatorcontrib><creatorcontrib>Koeppe, Robert A</creatorcontrib><creatorcontrib>Jagust, William</creatorcontrib><creatorcontrib>Alzheimer's Disease Neuroimaging Initiative</creatorcontrib><title>The influence of biological and technical factors on quantitative analysis of amyloid PET: Points to consider and recommendations for controlling variability in longitudinal data</title><title>Alzheimer's & dementia</title><addtitle>Alzheimers Dement</addtitle><description>Abstract In vivo imaging of amyloid burden with positron emission tomography (PET) provides a means for studying the pathophysiology of Alzheimer's and related diseases. Measurement of subtle changes in amyloid burden requires quantitative analysis of image data. Reliable quantitative analysis of amyloid PET scans acquired at multiple sites and over time requires rigorous standardization of acquisition protocols, subject management, tracer administration, image quality control, and image processing and analysis methods. We review critical points in the acquisition and analysis of amyloid PET, identify ways in which technical factors can contribute to measurement variability, and suggest methods for mitigating these sources of noise. Improved quantitative accuracy could reduce the sample size necessary to detect intervention effects when amyloid PET is used as a treatment end point and allow more reliable interpretation of change in amyloid burden and its relationship to clinical course.</description><subject>ADNI</subject><subject>Alzheimer's disease</subject><subject>Amyloid</subject><subject>Amyloid - metabolism</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - metabolism</subject><subject>Humans</subject><subject>Multi-site trials</subject><subject>Neurology</subject><subject>Positron emission tomography</subject><subject>Positron-Emission Tomography - instrumentation</subject><subject>Positron-Emission Tomography - methods</subject><subject>Quantitative analysis</subject><subject>Radiopharmaceuticals</subject><subject>Within subject variability</subject><issn>1552-5260</issn><issn>1552-5279</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><recordid>eNqNks1u1DAUhSMEoqXwAiyQl2wm2M6vEUIaVaVQjUQlBgmxsRzbmd7BsVvbGRQeq0-I05QuWCA2_tM551r3u1n2kuCcYFK_2ed7YX7lFJMyxyzHuHyUHZOqoquKNuzxw7nGR9mzEPZJgFtSPc2OaFVWTVmQ4-x2e6UR2N6M2kqNXI86cMbtQAqDhFUoanll7269kNH5gJxFN6OwEaKIcNBJJcwUIMxmMUzGgUKXZ9u36NKBjQFFh6SzAZT2d4leSzcM2qpkT--od34WRO-MAbtDB-FBdGAgTulnyDi7gzgqSGVQ8ojn2ZNemKBf3O8n2dcPZ9vTj6vN5_NPp-vNSlYNK1dMtiVpmeh0S2RXU0EoawnDnRIl7hpG6laWtO3rdGmbRpWMVSo1q8K4oD3pipPs9ZJ77d3NqEPkAwSpjRFWuzFw0pCaFTXDVZLSRSq9C8Hrnl97GISfOMF8ZsX3fGbFZ1YcM55QJNOr-_yxG7R6sPyBkwTrRfATjJ7-I5KvN98vLtIyv2G2FHm3ZOjUqQNoz4OEGbWCxCFy5eDff3z_l10mRvM4_NCTDns3-oQl9YIHyjH_Mk_cPHCpPG1p_a34Deyk0W8</recordid><startdate>201509</startdate><enddate>201509</enddate><creator>Schmidt, Mark E</creator><creator>Chiao, Ping</creator><creator>Klein, Gregory</creator><creator>Matthews, Dawn</creator><creator>Thurfjell, Lennart</creator><creator>Cole, Patricia E</creator><creator>Margolin, Richard</creator><creator>Landau, Susan</creator><creator>Foster, Norman L</creator><creator>Mason, N. 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| identifier | ISSN: 1552-5260 |
| ispartof | Alzheimer's & dementia, 2015-09, Vol.11 (9), p.1050-1068 |
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| language | eng |
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| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | ADNI Alzheimer's disease Amyloid Amyloid - metabolism Brain - diagnostic imaging Brain - metabolism Humans Multi-site trials Neurology Positron emission tomography Positron-Emission Tomography - instrumentation Positron-Emission Tomography - methods Quantitative analysis Radiopharmaceuticals Within subject variability |
| title | The influence of biological and technical factors on quantitative analysis of amyloid PET: Points to consider and recommendations for controlling variability in longitudinal data |
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