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Steps to standardization and validation of hippocampal volumetry as a biomarker in clinical trials and diagnostic criterion for Alzheimer’s disease
Abstract 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....
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Published in: | Alzheimer's & dementia 2011-07, Vol.7 (4), p.474-485.e4 |
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creator | Jack, Clifford R Barkhof, Frederik Bernstein, Matt A Cantillon, Marc Cole, Patricia E DeCarli, Charles Dubois, Bruno Duchesne, Simon Fox, Nick C Frisoni, Giovanni B Hampel, Harald Hill, Derek L.G Johnson, Keith Mangin, Jean-François Scheltens, Philip Schwarz, Adam J Sperling, Reisa Suhy, Joyce Thompson, Paul M Weiner, Michael Foster, Norman L |
description | Abstract 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. |
doi_str_mv | 10.1016/j.jalz.2011.04.007 |
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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.</description><identifier>ISSN: 1552-5260</identifier><identifier>EISSN: 1552-5279</identifier><identifier>DOI: 10.1016/j.jalz.2011.04.007</identifier><identifier>PMID: 21784356</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Aged ; Aged, 80 and over ; Alzheimer Disease - diagnosis ; Alzheimer's disease ; Biological markers ; Biomarker standards ; Biomarkers ; Biomarkers - analysis ; Europe ; Female ; Hippocampus ; Hippocampus - pathology ; Humans ; Image Processing, Computer-Assisted ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Magnetic Resonance Imaging - standards ; Male ; Neuroimaging ; Neurology ; Reference Values ; Reproducibility of Results ; ROC Curve ; Standardization ; Validation</subject><ispartof>Alzheimer's & dementia, 2011-07, Vol.7 (4), p.474-485.e4</ispartof><rights>The Alzheimer's Association</rights><rights>2011 The Alzheimer's Association</rights><rights>Copyright © 2011 The Alzheimer's Association. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6437-fc659be1703e16684ca3ffbfa9854b3021e6c677e01da36d732cc9e5e37d1fd03</citedby><cites>FETCH-LOGICAL-c6437-fc659be1703e16684ca3ffbfa9854b3021e6c677e01da36d732cc9e5e37d1fd03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1016%2Fj.jalz.2011.04.007$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1016%2Fj.jalz.2011.04.007$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,786,790,27957,27958,31035,50923,51032</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21784356$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Jack, Clifford R</creatorcontrib><creatorcontrib>Barkhof, Frederik</creatorcontrib><creatorcontrib>Bernstein, Matt A</creatorcontrib><creatorcontrib>Cantillon, Marc</creatorcontrib><creatorcontrib>Cole, Patricia E</creatorcontrib><creatorcontrib>DeCarli, Charles</creatorcontrib><creatorcontrib>Dubois, Bruno</creatorcontrib><creatorcontrib>Duchesne, Simon</creatorcontrib><creatorcontrib>Fox, Nick C</creatorcontrib><creatorcontrib>Frisoni, Giovanni B</creatorcontrib><creatorcontrib>Hampel, Harald</creatorcontrib><creatorcontrib>Hill, Derek L.G</creatorcontrib><creatorcontrib>Johnson, Keith</creatorcontrib><creatorcontrib>Mangin, Jean-François</creatorcontrib><creatorcontrib>Scheltens, Philip</creatorcontrib><creatorcontrib>Schwarz, Adam J</creatorcontrib><creatorcontrib>Sperling, Reisa</creatorcontrib><creatorcontrib>Suhy, Joyce</creatorcontrib><creatorcontrib>Thompson, Paul M</creatorcontrib><creatorcontrib>Weiner, Michael</creatorcontrib><creatorcontrib>Foster, Norman L</creatorcontrib><title>Steps to standardization and validation of hippocampal volumetry as a biomarker in clinical trials and diagnostic criterion for Alzheimer’s disease</title><title>Alzheimer's & dementia</title><addtitle>Alzheimers Dement</addtitle><description>Abstract 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.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alzheimer Disease - diagnosis</subject><subject>Alzheimer's disease</subject><subject>Biological markers</subject><subject>Biomarker standards</subject><subject>Biomarkers</subject><subject>Biomarkers - analysis</subject><subject>Europe</subject><subject>Female</subject><subject>Hippocampus</subject><subject>Hippocampus - pathology</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Magnetic Resonance Imaging - standards</subject><subject>Male</subject><subject>Neuroimaging</subject><subject>Neurology</subject><subject>Reference Values</subject><subject>Reproducibility of Results</subject><subject>ROC Curve</subject><subject>Standardization</subject><subject>Validation</subject><issn>1552-5260</issn><issn>1552-5279</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNqNks9u1DAQxiMEoqXwAhyQb3DZYMeJnZUQ0qriX7USh8KFi-XYE-rUiYPtLNo98RIceD2eBKdpe-BQuNge6zff2PNNlj0lOCeYsJdd3kl7yAtMSI7LHGN-LzsmVVWsqoKv79-eGT7KHoXQYVzimlQPs6OC8LqkFTvOfp5HGAOKDoUoBy29NgcZjRtQitBOWqOX0LXowoyjU7IfpUU7Z6ceot8jGZBEjXG99JfgkRmQsmYwKkHRG2nDlZI28uvgQjQKKW8i-FmzdR5t7OECTA_-949fIWEBZIDH2YM2ZcKT6_0k-_z2zafT96vtx3cfTjfblWIl5atWsWrdAOGYAmGsLpWkbdu0cl1XZUNxQYApxjlgoiVlmtNCqTVUQLkmrcb0JHu-6I7efZsgRNGboMBaOYCbgqjrmpCqKPm_Sb4mmKUGJ_LFnWSyDnPMaT2jxYIq70Lw0IrRm9THfYJmjolOzBaL2WKBS5EsTknPrvWnpgd9m3LjaQI2C_DdWNj_h6TYbL-cnaVlvktfuCryatGA1P2dAS-CMjAo0MaDikI7c_cbX_-VfjMTl7CH0LnJD8lXQUQoBBbn86DOc5rKY5J6SP8AqnPjzA</recordid><startdate>201107</startdate><enddate>201107</enddate><creator>Jack, Clifford R</creator><creator>Barkhof, Frederik</creator><creator>Bernstein, Matt A</creator><creator>Cantillon, Marc</creator><creator>Cole, Patricia E</creator><creator>DeCarli, Charles</creator><creator>Dubois, Bruno</creator><creator>Duchesne, Simon</creator><creator>Fox, Nick C</creator><creator>Frisoni, Giovanni B</creator><creator>Hampel, Harald</creator><creator>Hill, Derek L.G</creator><creator>Johnson, Keith</creator><creator>Mangin, Jean-François</creator><creator>Scheltens, Philip</creator><creator>Schwarz, Adam J</creator><creator>Sperling, Reisa</creator><creator>Suhy, Joyce</creator><creator>Thompson, Paul M</creator><creator>Weiner, Michael</creator><creator>Foster, Norman L</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7X8</scope><scope>7TK</scope></search><sort><creationdate>201107</creationdate><title>Steps to standardization and validation of hippocampal volumetry as a biomarker in clinical trials and diagnostic criterion for Alzheimer’s disease</title><author>Jack, Clifford R ; Barkhof, Frederik ; Bernstein, Matt A ; Cantillon, Marc ; Cole, Patricia E ; DeCarli, Charles ; Dubois, Bruno ; Duchesne, Simon ; Fox, Nick C ; Frisoni, Giovanni B ; Hampel, Harald ; Hill, Derek L.G ; Johnson, Keith ; Mangin, Jean-François ; Scheltens, Philip ; Schwarz, Adam J ; Sperling, Reisa ; Suhy, Joyce ; Thompson, Paul M ; Weiner, Michael ; Foster, Norman L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6437-fc659be1703e16684ca3ffbfa9854b3021e6c677e01da36d732cc9e5e37d1fd03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Alzheimer Disease - diagnosis</topic><topic>Alzheimer's disease</topic><topic>Biological markers</topic><topic>Biomarker standards</topic><topic>Biomarkers</topic><topic>Biomarkers - analysis</topic><topic>Europe</topic><topic>Female</topic><topic>Hippocampus</topic><topic>Hippocampus - pathology</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Magnetic Resonance Imaging - standards</topic><topic>Male</topic><topic>Neuroimaging</topic><topic>Neurology</topic><topic>Reference Values</topic><topic>Reproducibility of Results</topic><topic>ROC Curve</topic><topic>Standardization</topic><topic>Validation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jack, Clifford R</creatorcontrib><creatorcontrib>Barkhof, Frederik</creatorcontrib><creatorcontrib>Bernstein, Matt A</creatorcontrib><creatorcontrib>Cantillon, Marc</creatorcontrib><creatorcontrib>Cole, Patricia E</creatorcontrib><creatorcontrib>DeCarli, Charles</creatorcontrib><creatorcontrib>Dubois, Bruno</creatorcontrib><creatorcontrib>Duchesne, Simon</creatorcontrib><creatorcontrib>Fox, Nick C</creatorcontrib><creatorcontrib>Frisoni, Giovanni B</creatorcontrib><creatorcontrib>Hampel, Harald</creatorcontrib><creatorcontrib>Hill, Derek L.G</creatorcontrib><creatorcontrib>Johnson, Keith</creatorcontrib><creatorcontrib>Mangin, Jean-François</creatorcontrib><creatorcontrib>Scheltens, Philip</creatorcontrib><creatorcontrib>Schwarz, Adam J</creatorcontrib><creatorcontrib>Sperling, Reisa</creatorcontrib><creatorcontrib>Suhy, Joyce</creatorcontrib><creatorcontrib>Thompson, Paul M</creatorcontrib><creatorcontrib>Weiner, Michael</creatorcontrib><creatorcontrib>Foster, Norman L</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><collection>Neurosciences Abstracts</collection><jtitle>Alzheimer's & dementia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jack, Clifford R</au><au>Barkhof, Frederik</au><au>Bernstein, Matt A</au><au>Cantillon, Marc</au><au>Cole, Patricia E</au><au>DeCarli, Charles</au><au>Dubois, Bruno</au><au>Duchesne, Simon</au><au>Fox, Nick C</au><au>Frisoni, Giovanni B</au><au>Hampel, Harald</au><au>Hill, Derek L.G</au><au>Johnson, Keith</au><au>Mangin, Jean-François</au><au>Scheltens, Philip</au><au>Schwarz, Adam J</au><au>Sperling, Reisa</au><au>Suhy, Joyce</au><au>Thompson, Paul M</au><au>Weiner, Michael</au><au>Foster, Norman L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Steps to standardization and validation of hippocampal volumetry as a biomarker in clinical trials and diagnostic criterion for Alzheimer’s disease</atitle><jtitle>Alzheimer's & dementia</jtitle><addtitle>Alzheimers Dement</addtitle><date>2011-07</date><risdate>2011</risdate><volume>7</volume><issue>4</issue><spage>474</spage><epage>485.e4</epage><pages>474-485.e4</pages><issn>1552-5260</issn><eissn>1552-5279</eissn><notes>ObjectType-Article-1</notes><notes>SourceType-Scholarly Journals-1</notes><notes>ObjectType-Feature-2</notes><notes>content type line 23</notes><notes>ObjectType-Article-2</notes><notes>ObjectType-Feature-1</notes><abstract>Abstract 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.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>21784356</pmid><doi>10.1016/j.jalz.2011.04.007</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Aged Aged, 80 and over Alzheimer Disease - diagnosis Alzheimer's disease Biological markers Biomarker standards Biomarkers Biomarkers - analysis Europe Female Hippocampus Hippocampus - pathology Humans Image Processing, Computer-Assisted Magnetic resonance imaging Magnetic Resonance Imaging - methods Magnetic Resonance Imaging - standards Male Neuroimaging Neurology Reference Values Reproducibility of Results ROC Curve Standardization Validation |
title | Steps to standardization and validation of hippocampal volumetry as a biomarker in clinical trials and diagnostic criterion for Alzheimer’s disease |
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