Loading…
Sensitivity and specificity of medial temporal lobe visual ratings and multivariate regional MRI classification in Alzheimer's disease
Visual assessment rating scales for medial temporal lobe (MTL) atrophy have been used by neuroradiologists in clinical practice to aid the diagnosis of Alzheimer's disease (AD). Recently multivariate classification methods for magnetic resonance imaging (MRI) data have been suggested as alterna...
Saved in:
Published in: | PloS one 2011-07, Vol.6 (7), p.e22506-e22506 |
---|---|
Main Authors: | , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c845t-1437716b98e59ffbcfe77a12fa5e12340bced11bc41c70e1c86c4af13a7d91743 |
---|---|
cites | cdi_FETCH-LOGICAL-c845t-1437716b98e59ffbcfe77a12fa5e12340bced11bc41c70e1c86c4af13a7d91743 |
container_end_page | e22506 |
container_issue | 7 |
container_start_page | e22506 |
container_title | PloS one |
container_volume | 6 |
creator | Westman, Eric Cavallin, Lena Muehlboeck, J-Sebastian Zhang, Yi Mecocci, Patrizia Vellas, Bruno Tsolaki, Magda Kłoszewska, Iwona Soininen, Hilkka Spenger, Christian Lovestone, Simon Simmons, Andrew Wahlund, Lars-Olof |
description | Visual assessment rating scales for medial temporal lobe (MTL) atrophy have been used by neuroradiologists in clinical practice to aid the diagnosis of Alzheimer's disease (AD). Recently multivariate classification methods for magnetic resonance imaging (MRI) data have been suggested as alternative tools. If computerized methods are to be implemented in clinical practice they need to be as good as, or better than experienced neuroradiologists and carefully validated. The aims of this study were: (1) To compare the ability of MTL atrophy visual assessment rating scales, a multivariate MRI classification method and manually measured hippocampal volumes to distinguish between subjects with AD and healthy elderly controls (CTL). (2) To assess how well the three techniques perform when predicting future conversion from mild cognitive impairment (MCI) to AD.
High resolution sagittal 3D T1w MP-RAGE datasets were acquired from 75 AD patients, 101 subjects with MCI and 81 CTL from the multi-centre AddNeuroMed study. An automated analysis method was used to generate regional volume and regional cortical thickness measures, providing 57 variables for multivariate analysis (orthogonal partial least squares to latent structures using seven-fold cross-validation). Manual hippocampal measurements were also determined for each subject. Visual rating assessment of MTL atrophy was performed by an experienced neuroradiologist according to the approach of Scheltens et al.
We found prediction accuracies for distinguishing between AD and CTL of 83% for multivariate classification, 81% for the visual rating assessments and 89% for manual measurements of total hippocampal volume. The three different techniques showed similar accuracy in predicting conversion from MCI to AD at one year follow-up.
Visual rating assessment of the MTL gave similar prediction accuracy to multivariate classification and manual hippocampal volumes. This suggests a potential future role for computerized methods as a complement to clinical assessment of AD. |
doi_str_mv | 10.1371/journal.pone.0022506 |
format | article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1306248116</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A476884328</galeid><doaj_id>oai_doaj_org_article_3681448ab4164981b0ef2a06cae8d426</doaj_id><sourcerecordid>A476884328</sourcerecordid><originalsourceid>FETCH-LOGICAL-c845t-1437716b98e59ffbcfe77a12fa5e12340bced11bc41c70e1c86c4af13a7d91743</originalsourceid><addsrcrecordid>eNqNk81u1DAUhSMEoqXwBggiIVGxmMF_cZwN0qjiZ6SiSi2wtRznZsbFiYOdFMoD8Nw4nbQ0qEgoi1w73zl2jn2T5ClGS0xz_PrcDb5Vdtm5FpYIEZIhfi_ZxwUlC04QvX-r3ksehXCOUEYF5w-TPYIFxpyw_eTXGbTB9ObC9Jepaqs0dKBNbfQ4dnXaQGWUTXtoOudjYV0J6YUJQ6y96k27CVeyZrDRRHmjekg9bIyLe0s_nq5TbVUIo2OkXZuaNl3Zn1swDfjDkFYmgArwOHlQKxvgyfQ-SD6_e_vp6MPi-OT9-mh1vNCCZf0CM5rnmJeFgKyo61LXkOcKk1plgAllqNRQYVxqhnWOAGvBNVM1piqvCpwzepA83_l21gU5RRgkpiimMWYSifWOqJw6l503jfKX0ikjryac30jle6MtSMoFZkyokmHOCoFLBDVRiGsFomJk9FrsvMJ36IZy5jZNfY0VyCzS-cgX_-Q776o_omshJqTIKc5I1L6Z_mwo46FpaPt4XnOL2ZfWbOXGXUiKGUZcRIPDycC7bwOEXjYmaLBWteCGIEWBeC4YG7f54i_y7iAnaqNiVqatXVxWj55yxXIuBKNkXHV5BxWfChqj49WuTZyfCV7NBJHp4Ue_UUMIcn12-v_syZc5-_IWuwVl-21wdhgvbZiDbAdq70LwUN9kjJEcO_M6DTl2ppw6M8qe3T6fG9F1K9LfsE825Q</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1306248116</pqid></control><display><type>article</type><title>Sensitivity and specificity of medial temporal lobe visual ratings and multivariate regional MRI classification in Alzheimer's disease</title><source>Publicly Available Content (ProQuest)</source><source>PubMed Central</source><creator>Westman, Eric ; Cavallin, Lena ; Muehlboeck, J-Sebastian ; Zhang, Yi ; Mecocci, Patrizia ; Vellas, Bruno ; Tsolaki, Magda ; Kłoszewska, Iwona ; Soininen, Hilkka ; Spenger, Christian ; Lovestone, Simon ; Simmons, Andrew ; Wahlund, Lars-Olof</creator><contributor>Laks, Jerson</contributor><creatorcontrib>Westman, Eric ; Cavallin, Lena ; Muehlboeck, J-Sebastian ; Zhang, Yi ; Mecocci, Patrizia ; Vellas, Bruno ; Tsolaki, Magda ; Kłoszewska, Iwona ; Soininen, Hilkka ; Spenger, Christian ; Lovestone, Simon ; Simmons, Andrew ; Wahlund, Lars-Olof ; AddNeuroMed consortium ; for the AddNeuroMed consortium ; Laks, Jerson</creatorcontrib><description>Visual assessment rating scales for medial temporal lobe (MTL) atrophy have been used by neuroradiologists in clinical practice to aid the diagnosis of Alzheimer's disease (AD). Recently multivariate classification methods for magnetic resonance imaging (MRI) data have been suggested as alternative tools. If computerized methods are to be implemented in clinical practice they need to be as good as, or better than experienced neuroradiologists and carefully validated. The aims of this study were: (1) To compare the ability of MTL atrophy visual assessment rating scales, a multivariate MRI classification method and manually measured hippocampal volumes to distinguish between subjects with AD and healthy elderly controls (CTL). (2) To assess how well the three techniques perform when predicting future conversion from mild cognitive impairment (MCI) to AD.
High resolution sagittal 3D T1w MP-RAGE datasets were acquired from 75 AD patients, 101 subjects with MCI and 81 CTL from the multi-centre AddNeuroMed study. An automated analysis method was used to generate regional volume and regional cortical thickness measures, providing 57 variables for multivariate analysis (orthogonal partial least squares to latent structures using seven-fold cross-validation). Manual hippocampal measurements were also determined for each subject. Visual rating assessment of MTL atrophy was performed by an experienced neuroradiologist according to the approach of Scheltens et al.
We found prediction accuracies for distinguishing between AD and CTL of 83% for multivariate classification, 81% for the visual rating assessments and 89% for manual measurements of total hippocampal volume. The three different techniques showed similar accuracy in predicting conversion from MCI to AD at one year follow-up.
Visual rating assessment of the MTL gave similar prediction accuracy to multivariate classification and manual hippocampal volumes. This suggests a potential future role for computerized methods as a complement to clinical assessment of AD.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0022506</identifier><identifier>PMID: 21811624</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Advertising executives ; Aged ; Alzheimer Disease - pathology ; Alzheimer's disease ; Alzheimers disease ; Atrophy ; Biology ; Biomarkers ; Biomedical research ; Brain research ; Classification ; Clinical medicine ; Cognition Disorders - diagnosis ; Cognition Disorders - pathology ; Cognitive ability ; Cohort Studies ; Conversion ; Cortex ; Cytotoxicity ; Data analysis ; Dementia ; Diagnosis ; Female ; Follow-Up Studies ; Geriatrics ; Hippocampus ; Hospitals ; Humans ; Least-Squares Analysis ; Likelihood Functions ; Lymphocytes T ; Magnetic resonance ; Magnetic resonance imaging ; Magnetic Resonance Imaging - classification ; Magnetic Resonance Imaging - methods ; Male ; Medical imaging ; Medicin och hälsovetenskap ; Medicine ; Mental health ; Metabolism ; Metabolites ; Methods ; Multivariate Analysis ; Neurobiology ; Neurodegenerative diseases ; Neurosciences ; NMR ; Nuclear magnetic resonance ; Older people ; Performance prediction ; Plant biology ; Prostate cancer ; Reproducibility of Results ; Science ; Sensitivity and Specificity ; Spectrum analysis ; Studies ; T cells ; Temporal lobe ; Temporal Lobe - pathology ; Traumatic brain injury ; Westman, Eric</subject><ispartof>PloS one, 2011-07, Vol.6 (7), p.e22506-e22506</ispartof><rights>COPYRIGHT 2011 Public Library of Science</rights><rights>2011 Westman et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Westman et al. 2011</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c845t-1437716b98e59ffbcfe77a12fa5e12340bced11bc41c70e1c86c4af13a7d91743</citedby><cites>FETCH-LOGICAL-c845t-1437716b98e59ffbcfe77a12fa5e12340bced11bc41c70e1c86c4af13a7d91743</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1306248116/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1306248116?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21811624$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:122973152$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><contributor>Laks, Jerson</contributor><creatorcontrib>Westman, Eric</creatorcontrib><creatorcontrib>Cavallin, Lena</creatorcontrib><creatorcontrib>Muehlboeck, J-Sebastian</creatorcontrib><creatorcontrib>Zhang, Yi</creatorcontrib><creatorcontrib>Mecocci, Patrizia</creatorcontrib><creatorcontrib>Vellas, Bruno</creatorcontrib><creatorcontrib>Tsolaki, Magda</creatorcontrib><creatorcontrib>Kłoszewska, Iwona</creatorcontrib><creatorcontrib>Soininen, Hilkka</creatorcontrib><creatorcontrib>Spenger, Christian</creatorcontrib><creatorcontrib>Lovestone, Simon</creatorcontrib><creatorcontrib>Simmons, Andrew</creatorcontrib><creatorcontrib>Wahlund, Lars-Olof</creatorcontrib><creatorcontrib>AddNeuroMed consortium</creatorcontrib><creatorcontrib>for the AddNeuroMed consortium</creatorcontrib><title>Sensitivity and specificity of medial temporal lobe visual ratings and multivariate regional MRI classification in Alzheimer's disease</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Visual assessment rating scales for medial temporal lobe (MTL) atrophy have been used by neuroradiologists in clinical practice to aid the diagnosis of Alzheimer's disease (AD). Recently multivariate classification methods for magnetic resonance imaging (MRI) data have been suggested as alternative tools. If computerized methods are to be implemented in clinical practice they need to be as good as, or better than experienced neuroradiologists and carefully validated. The aims of this study were: (1) To compare the ability of MTL atrophy visual assessment rating scales, a multivariate MRI classification method and manually measured hippocampal volumes to distinguish between subjects with AD and healthy elderly controls (CTL). (2) To assess how well the three techniques perform when predicting future conversion from mild cognitive impairment (MCI) to AD.
High resolution sagittal 3D T1w MP-RAGE datasets were acquired from 75 AD patients, 101 subjects with MCI and 81 CTL from the multi-centre AddNeuroMed study. An automated analysis method was used to generate regional volume and regional cortical thickness measures, providing 57 variables for multivariate analysis (orthogonal partial least squares to latent structures using seven-fold cross-validation). Manual hippocampal measurements were also determined for each subject. Visual rating assessment of MTL atrophy was performed by an experienced neuroradiologist according to the approach of Scheltens et al.
We found prediction accuracies for distinguishing between AD and CTL of 83% for multivariate classification, 81% for the visual rating assessments and 89% for manual measurements of total hippocampal volume. The three different techniques showed similar accuracy in predicting conversion from MCI to AD at one year follow-up.
Visual rating assessment of the MTL gave similar prediction accuracy to multivariate classification and manual hippocampal volumes. This suggests a potential future role for computerized methods as a complement to clinical assessment of AD.</description><subject>Advertising executives</subject><subject>Aged</subject><subject>Alzheimer Disease - pathology</subject><subject>Alzheimer's disease</subject><subject>Alzheimers disease</subject><subject>Atrophy</subject><subject>Biology</subject><subject>Biomarkers</subject><subject>Biomedical research</subject><subject>Brain research</subject><subject>Classification</subject><subject>Clinical medicine</subject><subject>Cognition Disorders - diagnosis</subject><subject>Cognition Disorders - pathology</subject><subject>Cognitive ability</subject><subject>Cohort Studies</subject><subject>Conversion</subject><subject>Cortex</subject><subject>Cytotoxicity</subject><subject>Data analysis</subject><subject>Dementia</subject><subject>Diagnosis</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Geriatrics</subject><subject>Hippocampus</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Least-Squares Analysis</subject><subject>Likelihood Functions</subject><subject>Lymphocytes T</subject><subject>Magnetic resonance</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - classification</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicin och hälsovetenskap</subject><subject>Medicine</subject><subject>Mental health</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Methods</subject><subject>Multivariate Analysis</subject><subject>Neurobiology</subject><subject>Neurodegenerative diseases</subject><subject>Neurosciences</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Older people</subject><subject>Performance prediction</subject><subject>Plant biology</subject><subject>Prostate cancer</subject><subject>Reproducibility of Results</subject><subject>Science</subject><subject>Sensitivity and Specificity</subject><subject>Spectrum analysis</subject><subject>Studies</subject><subject>T cells</subject><subject>Temporal lobe</subject><subject>Temporal Lobe - pathology</subject><subject>Traumatic brain injury</subject><subject>Westman, Eric</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk81u1DAUhSMEoqXwBggiIVGxmMF_cZwN0qjiZ6SiSi2wtRznZsbFiYOdFMoD8Nw4nbQ0qEgoi1w73zl2jn2T5ClGS0xz_PrcDb5Vdtm5FpYIEZIhfi_ZxwUlC04QvX-r3ksehXCOUEYF5w-TPYIFxpyw_eTXGbTB9ObC9Jepaqs0dKBNbfQ4dnXaQGWUTXtoOudjYV0J6YUJQ6y96k27CVeyZrDRRHmjekg9bIyLe0s_nq5TbVUIo2OkXZuaNl3Zn1swDfjDkFYmgArwOHlQKxvgyfQ-SD6_e_vp6MPi-OT9-mh1vNCCZf0CM5rnmJeFgKyo61LXkOcKk1plgAllqNRQYVxqhnWOAGvBNVM1piqvCpwzepA83_l21gU5RRgkpiimMWYSifWOqJw6l503jfKX0ikjryac30jle6MtSMoFZkyokmHOCoFLBDVRiGsFomJk9FrsvMJ36IZy5jZNfY0VyCzS-cgX_-Q776o_omshJqTIKc5I1L6Z_mwo46FpaPt4XnOL2ZfWbOXGXUiKGUZcRIPDycC7bwOEXjYmaLBWteCGIEWBeC4YG7f54i_y7iAnaqNiVqatXVxWj55yxXIuBKNkXHV5BxWfChqj49WuTZyfCV7NBJHp4Ue_UUMIcn12-v_syZc5-_IWuwVl-21wdhgvbZiDbAdq70LwUN9kjJEcO_M6DTl2ppw6M8qe3T6fG9F1K9LfsE825Q</recordid><startdate>20110721</startdate><enddate>20110721</enddate><creator>Westman, Eric</creator><creator>Cavallin, Lena</creator><creator>Muehlboeck, J-Sebastian</creator><creator>Zhang, Yi</creator><creator>Mecocci, Patrizia</creator><creator>Vellas, Bruno</creator><creator>Tsolaki, Magda</creator><creator>Kłoszewska, Iwona</creator><creator>Soininen, Hilkka</creator><creator>Spenger, Christian</creator><creator>Lovestone, Simon</creator><creator>Simmons, Andrew</creator><creator>Wahlund, Lars-Olof</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope><scope>DOA</scope></search><sort><creationdate>20110721</creationdate><title>Sensitivity and specificity of medial temporal lobe visual ratings and multivariate regional MRI classification in Alzheimer's disease</title><author>Westman, Eric ; Cavallin, Lena ; Muehlboeck, J-Sebastian ; Zhang, Yi ; Mecocci, Patrizia ; Vellas, Bruno ; Tsolaki, Magda ; Kłoszewska, Iwona ; Soininen, Hilkka ; Spenger, Christian ; Lovestone, Simon ; Simmons, Andrew ; Wahlund, Lars-Olof</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c845t-1437716b98e59ffbcfe77a12fa5e12340bced11bc41c70e1c86c4af13a7d91743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Advertising executives</topic><topic>Aged</topic><topic>Alzheimer Disease - pathology</topic><topic>Alzheimer's disease</topic><topic>Alzheimers disease</topic><topic>Atrophy</topic><topic>Biology</topic><topic>Biomarkers</topic><topic>Biomedical research</topic><topic>Brain research</topic><topic>Classification</topic><topic>Clinical medicine</topic><topic>Cognition Disorders - diagnosis</topic><topic>Cognition Disorders - pathology</topic><topic>Cognitive ability</topic><topic>Cohort Studies</topic><topic>Conversion</topic><topic>Cortex</topic><topic>Cytotoxicity</topic><topic>Data analysis</topic><topic>Dementia</topic><topic>Diagnosis</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Geriatrics</topic><topic>Hippocampus</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Least-Squares Analysis</topic><topic>Likelihood Functions</topic><topic>Lymphocytes T</topic><topic>Magnetic resonance</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - classification</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medicin och hälsovetenskap</topic><topic>Medicine</topic><topic>Mental health</topic><topic>Metabolism</topic><topic>Metabolites</topic><topic>Methods</topic><topic>Multivariate Analysis</topic><topic>Neurobiology</topic><topic>Neurodegenerative diseases</topic><topic>Neurosciences</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Older people</topic><topic>Performance prediction</topic><topic>Plant biology</topic><topic>Prostate cancer</topic><topic>Reproducibility of Results</topic><topic>Science</topic><topic>Sensitivity and Specificity</topic><topic>Spectrum analysis</topic><topic>Studies</topic><topic>T cells</topic><topic>Temporal lobe</topic><topic>Temporal Lobe - pathology</topic><topic>Traumatic brain injury</topic><topic>Westman, Eric</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Westman, Eric</creatorcontrib><creatorcontrib>Cavallin, Lena</creatorcontrib><creatorcontrib>Muehlboeck, J-Sebastian</creatorcontrib><creatorcontrib>Zhang, Yi</creatorcontrib><creatorcontrib>Mecocci, Patrizia</creatorcontrib><creatorcontrib>Vellas, Bruno</creatorcontrib><creatorcontrib>Tsolaki, Magda</creatorcontrib><creatorcontrib>Kłoszewska, Iwona</creatorcontrib><creatorcontrib>Soininen, Hilkka</creatorcontrib><creatorcontrib>Spenger, Christian</creatorcontrib><creatorcontrib>Lovestone, Simon</creatorcontrib><creatorcontrib>Simmons, Andrew</creatorcontrib><creatorcontrib>Wahlund, Lars-Olof</creatorcontrib><creatorcontrib>AddNeuroMed consortium</creatorcontrib><creatorcontrib>for the AddNeuroMed consortium</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints in Context (Gale)</collection><collection>Science in Context</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database (Proquest)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>Biological Sciences</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials science collection</collection><collection>Publicly Available Content (ProQuest)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><collection>Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Westman, Eric</au><au>Cavallin, Lena</au><au>Muehlboeck, J-Sebastian</au><au>Zhang, Yi</au><au>Mecocci, Patrizia</au><au>Vellas, Bruno</au><au>Tsolaki, Magda</au><au>Kłoszewska, Iwona</au><au>Soininen, Hilkka</au><au>Spenger, Christian</au><au>Lovestone, Simon</au><au>Simmons, Andrew</au><au>Wahlund, Lars-Olof</au><au>Laks, Jerson</au><aucorp>AddNeuroMed consortium</aucorp><aucorp>for the AddNeuroMed consortium</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sensitivity and specificity of medial temporal lobe visual ratings and multivariate regional MRI classification in Alzheimer's disease</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2011-07-21</date><risdate>2011</risdate><volume>6</volume><issue>7</issue><spage>e22506</spage><epage>e22506</epage><pages>e22506-e22506</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Visual assessment rating scales for medial temporal lobe (MTL) atrophy have been used by neuroradiologists in clinical practice to aid the diagnosis of Alzheimer's disease (AD). Recently multivariate classification methods for magnetic resonance imaging (MRI) data have been suggested as alternative tools. If computerized methods are to be implemented in clinical practice they need to be as good as, or better than experienced neuroradiologists and carefully validated. The aims of this study were: (1) To compare the ability of MTL atrophy visual assessment rating scales, a multivariate MRI classification method and manually measured hippocampal volumes to distinguish between subjects with AD and healthy elderly controls (CTL). (2) To assess how well the three techniques perform when predicting future conversion from mild cognitive impairment (MCI) to AD.
High resolution sagittal 3D T1w MP-RAGE datasets were acquired from 75 AD patients, 101 subjects with MCI and 81 CTL from the multi-centre AddNeuroMed study. An automated analysis method was used to generate regional volume and regional cortical thickness measures, providing 57 variables for multivariate analysis (orthogonal partial least squares to latent structures using seven-fold cross-validation). Manual hippocampal measurements were also determined for each subject. Visual rating assessment of MTL atrophy was performed by an experienced neuroradiologist according to the approach of Scheltens et al.
We found prediction accuracies for distinguishing between AD and CTL of 83% for multivariate classification, 81% for the visual rating assessments and 89% for manual measurements of total hippocampal volume. The three different techniques showed similar accuracy in predicting conversion from MCI to AD at one year follow-up.
Visual rating assessment of the MTL gave similar prediction accuracy to multivariate classification and manual hippocampal volumes. This suggests a potential future role for computerized methods as a complement to clinical assessment of AD.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>21811624</pmid><doi>10.1371/journal.pone.0022506</doi><tpages>e22506</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2011-07, Vol.6 (7), p.e22506-e22506 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1306248116 |
source | Publicly Available Content (ProQuest); PubMed Central |
subjects | Advertising executives Aged Alzheimer Disease - pathology Alzheimer's disease Alzheimers disease Atrophy Biology Biomarkers Biomedical research Brain research Classification Clinical medicine Cognition Disorders - diagnosis Cognition Disorders - pathology Cognitive ability Cohort Studies Conversion Cortex Cytotoxicity Data analysis Dementia Diagnosis Female Follow-Up Studies Geriatrics Hippocampus Hospitals Humans Least-Squares Analysis Likelihood Functions Lymphocytes T Magnetic resonance Magnetic resonance imaging Magnetic Resonance Imaging - classification Magnetic Resonance Imaging - methods Male Medical imaging Medicin och hälsovetenskap Medicine Mental health Metabolism Metabolites Methods Multivariate Analysis Neurobiology Neurodegenerative diseases Neurosciences NMR Nuclear magnetic resonance Older people Performance prediction Plant biology Prostate cancer Reproducibility of Results Science Sensitivity and Specificity Spectrum analysis Studies T cells Temporal lobe Temporal Lobe - pathology Traumatic brain injury Westman, Eric |
title | Sensitivity and specificity of medial temporal lobe visual ratings and multivariate regional MRI classification in Alzheimer's disease |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-24T09%3A31%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sensitivity%20and%20specificity%20of%20medial%20temporal%20lobe%20visual%20ratings%20and%20multivariate%20regional%20MRI%20classification%20in%20Alzheimer's%20disease&rft.jtitle=PloS%20one&rft.au=Westman,%20Eric&rft.aucorp=AddNeuroMed%20consortium&rft.date=2011-07-21&rft.volume=6&rft.issue=7&rft.spage=e22506&rft.epage=e22506&rft.pages=e22506-e22506&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0022506&rft_dat=%3Cgale_plos_%3EA476884328%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c845t-1437716b98e59ffbcfe77a12fa5e12340bced11bc41c70e1c86c4af13a7d91743%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1306248116&rft_id=info:pmid/21811624&rft_galeid=A476884328&rfr_iscdi=true |