Estimating cerebral microinfarct burden from autopsy samples
To estimate whole-brain microinfarct burden from microinfarct counts in routine postmortem examination. We developed a simple mathematical method to estimate the total number of cerebral microinfarcts from counts obtained in the small amount of tissue routinely examined in brain autopsies. We derive...
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| Veröffentlicht in: | Neurology 2013-04, Vol.80 (15), p.1365-1369 |
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| creator | WESTOVER, M. Brandon BIANCHI, Matt T CHUNHUI YANG SCHNEIDER, Julie A GREENBERG, Steven M |
| description | To estimate whole-brain microinfarct burden from microinfarct counts in routine postmortem examination.
We developed a simple mathematical method to estimate the total number of cerebral microinfarcts from counts obtained in the small amount of tissue routinely examined in brain autopsies. We derived estimates of total microinfarct burden from autopsy brain specimens from 648 older participants in 2 community-based clinical-pathologic cohort studies of aging and dementia.
Our results indicate that observing 1 or 2 microinfarcts in 9 routine neuropathologic specimens implies a maximum-likelihood estimate of 552 or 1,104 microinfarcts throughout the brain. Similar estimates were obtained when validating in larger sampled brain volumes.
The substantial whole-brain burden of cerebral microinfarcts suggested by even a few microinfarcts on routine pathologic sampling suggests a potential mechanism by which these lesions could cause neurologic dysfunction in individuals with small-vessel disease. The estimation framework developed here may generalize to clinicopathologic correlations of other imaging-negative micropathologies. |
| doi_str_mv | 10.1212/wnl.0b013e31828c2f52 |
| format | Article |
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We developed a simple mathematical method to estimate the total number of cerebral microinfarcts from counts obtained in the small amount of tissue routinely examined in brain autopsies. We derived estimates of total microinfarct burden from autopsy brain specimens from 648 older participants in 2 community-based clinical-pathologic cohort studies of aging and dementia.
Our results indicate that observing 1 or 2 microinfarcts in 9 routine neuropathologic specimens implies a maximum-likelihood estimate of 552 or 1,104 microinfarcts throughout the brain. Similar estimates were obtained when validating in larger sampled brain volumes.
The substantial whole-brain burden of cerebral microinfarcts suggested by even a few microinfarcts on routine pathologic sampling suggests a potential mechanism by which these lesions could cause neurologic dysfunction in individuals with small-vessel disease. The estimation framework developed here may generalize to clinicopathologic correlations of other imaging-negative micropathologies.</description><identifier>ISSN: 0028-3878</identifier><identifier>EISSN: 1526-632X</identifier><identifier>DOI: 10.1212/wnl.0b013e31828c2f52</identifier><identifier>PMID: 23486880</identifier><identifier>CODEN: NEURAI</identifier><language>eng</language><publisher>Hagerstown, MD: Lippincott Williams & Wilkins</publisher><subject>Aged ; Aged, 80 and over ; Autopsy ; Biological and medical sciences ; Brain - pathology ; Brain Infarction - complications ; Cohort Studies ; Dementia - etiology ; Dementia - pathology ; Female ; Humans ; Male ; Medical sciences ; Neurology ; Probability ; Residence Characteristics ; Vascular diseases and vascular malformations of the nervous system</subject><ispartof>Neurology, 2013-04, Vol.80 (15), p.1365-1369</ispartof><rights>2014 INIST-CNRS</rights><rights>2013 American Academy of Neurology 2013 American Academy of Neurology</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c537t-74052eed6c038d35f9a39faa66bee9d6f91ea0ad58f5de3e33aec73d94ef7ae03</citedby><cites>FETCH-LOGICAL-c537t-74052eed6c038d35f9a39faa66bee9d6f91ea0ad58f5de3e33aec73d94ef7ae03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27232517$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23486880$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>WESTOVER, M. Brandon</creatorcontrib><creatorcontrib>BIANCHI, Matt T</creatorcontrib><creatorcontrib>CHUNHUI YANG</creatorcontrib><creatorcontrib>SCHNEIDER, Julie A</creatorcontrib><creatorcontrib>GREENBERG, Steven M</creatorcontrib><title>Estimating cerebral microinfarct burden from autopsy samples</title><title>Neurology</title><addtitle>Neurology</addtitle><description>To estimate whole-brain microinfarct burden from microinfarct counts in routine postmortem examination.
We developed a simple mathematical method to estimate the total number of cerebral microinfarcts from counts obtained in the small amount of tissue routinely examined in brain autopsies. We derived estimates of total microinfarct burden from autopsy brain specimens from 648 older participants in 2 community-based clinical-pathologic cohort studies of aging and dementia.
Our results indicate that observing 1 or 2 microinfarcts in 9 routine neuropathologic specimens implies a maximum-likelihood estimate of 552 or 1,104 microinfarcts throughout the brain. Similar estimates were obtained when validating in larger sampled brain volumes.
The substantial whole-brain burden of cerebral microinfarcts suggested by even a few microinfarcts on routine pathologic sampling suggests a potential mechanism by which these lesions could cause neurologic dysfunction in individuals with small-vessel disease. The estimation framework developed here may generalize to clinicopathologic correlations of other imaging-negative micropathologies.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Autopsy</subject><subject>Biological and medical sciences</subject><subject>Brain - pathology</subject><subject>Brain Infarction - complications</subject><subject>Cohort Studies</subject><subject>Dementia - etiology</subject><subject>Dementia - pathology</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Neurology</subject><subject>Probability</subject><subject>Residence Characteristics</subject><subject>Vascular diseases and vascular malformations of the nervous system</subject><issn>0028-3878</issn><issn>1526-632X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUtrFUEQhRsxmJsb_4GE2QjZTOzumn4MBEFCjMIl2UTirqnpqY4T5nHtnjHk39uSa6JuXNWivnM4VYexN4KfCCnku_uxP-ENF0AgrLReBiVfsJVQUpca5NeXbMW5tCVYY_fZQUp3nOelqV-xfQmV1dbyFTs9T3M34NyNt4WnSE3Evhg6H6duDBj9XDRLbGksQpyGApd52qaHIuGw7Skdsr2AfaLXu7lmXz6eX599KjdXF5_PPmxKr8DMpam4kkSt9hxsCyrUCHVA1LohqlsdakHIsVU2qJbyPYDkDbR1RcEgcViz94--26UZqPU0zjmm28acPD64CTv392bsvrnb6YcDraU0kA2OdwZx-r5Qmt3QJU99jyNNS3JCVcZqWWn1fxSkAhA6265Z9Yjmb6UUKTwlEtz96sjdXG7cvx1l2dGf1zyJfpeSgbc7AJPHPkQcfZeeOSNzBmHgJ327nb8</recordid><startdate>20130409</startdate><enddate>20130409</enddate><creator>WESTOVER, M. Brandon</creator><creator>BIANCHI, Matt T</creator><creator>CHUNHUI YANG</creator><creator>SCHNEIDER, Julie A</creator><creator>GREENBERG, Steven M</creator><general>Lippincott Williams & Wilkins</general><scope>IQODW</scope><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>7X8</scope><scope>7TK</scope><scope>5PM</scope></search><sort><creationdate>20130409</creationdate><title>Estimating cerebral microinfarct burden from autopsy samples</title><author>WESTOVER, M. Brandon ; BIANCHI, Matt T ; CHUNHUI YANG ; SCHNEIDER, Julie A ; GREENBERG, Steven M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c537t-74052eed6c038d35f9a39faa66bee9d6f91ea0ad58f5de3e33aec73d94ef7ae03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Autopsy</topic><topic>Biological and medical sciences</topic><topic>Brain - pathology</topic><topic>Brain Infarction - complications</topic><topic>Cohort Studies</topic><topic>Dementia - etiology</topic><topic>Dementia - pathology</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Neurology</topic><topic>Probability</topic><topic>Residence Characteristics</topic><topic>Vascular diseases and vascular malformations of the nervous system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>WESTOVER, M. Brandon</creatorcontrib><creatorcontrib>BIANCHI, Matt T</creatorcontrib><creatorcontrib>CHUNHUI YANG</creatorcontrib><creatorcontrib>SCHNEIDER, Julie A</creatorcontrib><creatorcontrib>GREENBERG, Steven M</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Neurosciences Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>WESTOVER, M. Brandon</au><au>BIANCHI, Matt T</au><au>CHUNHUI YANG</au><au>SCHNEIDER, Julie A</au><au>GREENBERG, Steven M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating cerebral microinfarct burden from autopsy samples</atitle><jtitle>Neurology</jtitle><addtitle>Neurology</addtitle><date>2013-04-09</date><risdate>2013</risdate><volume>80</volume><issue>15</issue><spage>1365</spage><epage>1369</epage><pages>1365-1369</pages><issn>0028-3878</issn><eissn>1526-632X</eissn><coden>NEURAI</coden><abstract>To estimate whole-brain microinfarct burden from microinfarct counts in routine postmortem examination.
We developed a simple mathematical method to estimate the total number of cerebral microinfarcts from counts obtained in the small amount of tissue routinely examined in brain autopsies. We derived estimates of total microinfarct burden from autopsy brain specimens from 648 older participants in 2 community-based clinical-pathologic cohort studies of aging and dementia.
Our results indicate that observing 1 or 2 microinfarcts in 9 routine neuropathologic specimens implies a maximum-likelihood estimate of 552 or 1,104 microinfarcts throughout the brain. Similar estimates were obtained when validating in larger sampled brain volumes.
The substantial whole-brain burden of cerebral microinfarcts suggested by even a few microinfarcts on routine pathologic sampling suggests a potential mechanism by which these lesions could cause neurologic dysfunction in individuals with small-vessel disease. The estimation framework developed here may generalize to clinicopathologic correlations of other imaging-negative micropathologies.</abstract><cop>Hagerstown, MD</cop><pub>Lippincott Williams & Wilkins</pub><pmid>23486880</pmid><doi>10.1212/wnl.0b013e31828c2f52</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Neurology, 2013-04, Vol.80 (15), p.1365-1369 |
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| source | MEDLINE; Alma/SFX Local Collection; Journals@Ovid Complete |
| subjects | Aged Aged, 80 and over Autopsy Biological and medical sciences Brain - pathology Brain Infarction - complications Cohort Studies Dementia - etiology Dementia - pathology Female Humans Male Medical sciences Neurology Probability Residence Characteristics Vascular diseases and vascular malformations of the nervous system |
| title | Estimating cerebral microinfarct burden from autopsy samples |
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