Head-to-head comparison of two popular cortical thickness extraction algorithms: a cross-sectional and longitudinal study
The measurement of cortical shrinkage is a candidate marker of disease progression in Alzheimer's. This study evaluated the performance of two pipelines: Civet-CLASP (v1.1.9) and Freesurfer (v5.3.0). Images from 185 ADNI1 cases (69 elderly controls (CTR), 37 stable MCI (sMCI), 27 progressive MC...
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| Veröffentlicht in: | PloS one 2015-03, Vol.10 (3), p.e0117692-e0117692 |
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| creator | Redolfi, Alberto Manset, David Barkhof, Frederik Wahlund, Lars-Olof Glatard, Tristan Mangin, Jean-François Frisoni, Giovanni B |
| description | The measurement of cortical shrinkage is a candidate marker of disease progression in Alzheimer's. This study evaluated the performance of two pipelines: Civet-CLASP (v1.1.9) and Freesurfer (v5.3.0).
Images from 185 ADNI1 cases (69 elderly controls (CTR), 37 stable MCI (sMCI), 27 progressive MCI (pMCI), and 52 Alzheimer (AD) patients) scanned at baseline, month 12, and month 24 were processed using the two pipelines and two interconnected e-infrastructures: neuGRID (https://neugrid4you.eu) and VIP (http://vip.creatis.insa-lyon.fr). The vertex-by-vertex cross-algorithm comparison was made possible applying the 3D gradient vector flow (GVF) and closest point search (CPS) techniques.
The cortical thickness measured with Freesurfer was systematically lower by one third if compared to Civet's. Cross-sectionally, Freesurfer's effect size was significantly different in the posterior division of the temporal fusiform cortex. Both pipelines were weakly or mildly correlated with the Mini Mental State Examination score (MMSE) and the hippocampal volumetry. Civet differed significantly from Freesurfer in large frontal, parietal, temporal and occipital regions (p |
| doi_str_mv | 10.1371/journal.pone.0117692 |
| format | Article |
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Images from 185 ADNI1 cases (69 elderly controls (CTR), 37 stable MCI (sMCI), 27 progressive MCI (pMCI), and 52 Alzheimer (AD) patients) scanned at baseline, month 12, and month 24 were processed using the two pipelines and two interconnected e-infrastructures: neuGRID (https://neugrid4you.eu) and VIP (http://vip.creatis.insa-lyon.fr). The vertex-by-vertex cross-algorithm comparison was made possible applying the 3D gradient vector flow (GVF) and closest point search (CPS) techniques.
The cortical thickness measured with Freesurfer was systematically lower by one third if compared to Civet's. Cross-sectionally, Freesurfer's effect size was significantly different in the posterior division of the temporal fusiform cortex. Both pipelines were weakly or mildly correlated with the Mini Mental State Examination score (MMSE) and the hippocampal volumetry. Civet differed significantly from Freesurfer in large frontal, parietal, temporal and occipital regions (p<0.05). In a discriminant analysis with cortical ROIs having effect size larger than 0.8, both pipelines gave no significant differences in area under the curve (AUC). Longitudinally, effect sizes were not significantly different in any of the 28 ROIs tested. Both pipelines weakly correlated with MMSE decay, showing no significant differences. Freesurfer mildly correlated with hippocampal thinning rate and differed in the supramarginal gyrus, temporal gyrus, and in the lateral occipital cortex compared to Civet (p<0.05). In a discriminant analysis with ROIs having effect size larger than 0.6, both pipelines yielded no significant differences in the AUC.
Civet appears slightly more sensitive to the typical AD atrophic pattern at the MCI stage, but both pipelines can accurately characterize the topography of cortical thinning at the dementia stage.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0117692</identifier><identifier>PMID: 25781983</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Aged ; Aging ; Algorithms ; Alzheimer Disease - diagnosis ; Alzheimer Disease - pathology ; Alzheimer Disease - physiopathology ; Alzheimer's disease ; Bioengineering ; Brain ; Brain - pathology ; Brain - physiopathology ; Brain architecture ; Brain research ; Cognitive Dysfunction - diagnosis ; Cognitive Dysfunction - pathology ; Cognitive Dysfunction - physiopathology ; Comparative analysis ; Correlation analysis ; Cortex (frontal) ; Cortex (occipital) ; Cortex (parietal) ; Cortex (temporal) ; Cross-Sectional Studies ; Decay rate ; Dementia disorders ; Development and progression ; Discriminant analysis ; Engineering Sciences ; Epidemiology ; Female ; Geriatrics ; Hippocampus ; Hippocampus - pathology ; Hippocampus - physiopathology ; Hospitals ; Humans ; Image Processing, Computer-Assisted - methods ; Imaging ; Laboratories ; Life Sciences ; Longitudinal Studies ; Magnetic Resonance Imaging ; Male ; Medical imaging ; Medicine ; Memory ; Neurosciences ; NMR ; Nuclear magnetic resonance ; Occipital lobe ; Older people ; Pipelines ; ROC Curve ; Sensitivity and Specificity ; Shrinkage ; Signal and Image processing ; Studies ; Temporal gyrus ; Temporal lobe ; Thinning ; Three dimensional flow ; Vasoactive intestinal peptide</subject><ispartof>PloS one, 2015-03, Vol.10 (3), p.e0117692-e0117692</ispartof><rights>COPYRIGHT 2015 Public Library of Science</rights><rights>2015 Redolfi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://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>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>2015 Redolfi et al 2015 Redolfi et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c830t-7c5c28032adb4192e766cb397172680f8624ecf0d444322e4da5d183caaab7573</citedby><cites>FETCH-LOGICAL-c830t-7c5c28032adb4192e766cb397172680f8624ecf0d444322e4da5d183caaab7573</cites><orcidid>0000-0003-3543-3706 ; 0000-0002-1612-461X ; 0000-0003-2620-5883</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4364123/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4364123/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,551,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25781983$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01373371$$DView record in HAL$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:130996140$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><contributor>Meuth, Sven G.</contributor><creatorcontrib>Redolfi, Alberto</creatorcontrib><creatorcontrib>Manset, David</creatorcontrib><creatorcontrib>Barkhof, Frederik</creatorcontrib><creatorcontrib>Wahlund, Lars-Olof</creatorcontrib><creatorcontrib>Glatard, Tristan</creatorcontrib><creatorcontrib>Mangin, Jean-François</creatorcontrib><creatorcontrib>Frisoni, Giovanni B</creatorcontrib><creatorcontrib>neuGRID Consortium, for the Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><title>Head-to-head comparison of two popular cortical thickness extraction algorithms: a cross-sectional and longitudinal study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The measurement of cortical shrinkage is a candidate marker of disease progression in Alzheimer's. This study evaluated the performance of two pipelines: Civet-CLASP (v1.1.9) and Freesurfer (v5.3.0).
Images from 185 ADNI1 cases (69 elderly controls (CTR), 37 stable MCI (sMCI), 27 progressive MCI (pMCI), and 52 Alzheimer (AD) patients) scanned at baseline, month 12, and month 24 were processed using the two pipelines and two interconnected e-infrastructures: neuGRID (https://neugrid4you.eu) and VIP (http://vip.creatis.insa-lyon.fr). The vertex-by-vertex cross-algorithm comparison was made possible applying the 3D gradient vector flow (GVF) and closest point search (CPS) techniques.
The cortical thickness measured with Freesurfer was systematically lower by one third if compared to Civet's. Cross-sectionally, Freesurfer's effect size was significantly different in the posterior division of the temporal fusiform cortex. Both pipelines were weakly or mildly correlated with the Mini Mental State Examination score (MMSE) and the hippocampal volumetry. Civet differed significantly from Freesurfer in large frontal, parietal, temporal and occipital regions (p<0.05). In a discriminant analysis with cortical ROIs having effect size larger than 0.8, both pipelines gave no significant differences in area under the curve (AUC). Longitudinally, effect sizes were not significantly different in any of the 28 ROIs tested. Both pipelines weakly correlated with MMSE decay, showing no significant differences. Freesurfer mildly correlated with hippocampal thinning rate and differed in the supramarginal gyrus, temporal gyrus, and in the lateral occipital cortex compared to Civet (p<0.05). In a discriminant analysis with ROIs having effect size larger than 0.6, both pipelines yielded no significant differences in the AUC.
Civet appears slightly more sensitive to the typical AD atrophic pattern at the MCI stage, but both pipelines can accurately characterize the topography of cortical thinning at the dementia stage.</description><subject>Aged</subject><subject>Aging</subject><subject>Algorithms</subject><subject>Alzheimer Disease - diagnosis</subject><subject>Alzheimer Disease - pathology</subject><subject>Alzheimer Disease - physiopathology</subject><subject>Alzheimer's disease</subject><subject>Bioengineering</subject><subject>Brain</subject><subject>Brain - pathology</subject><subject>Brain - physiopathology</subject><subject>Brain architecture</subject><subject>Brain research</subject><subject>Cognitive Dysfunction - diagnosis</subject><subject>Cognitive Dysfunction - pathology</subject><subject>Cognitive Dysfunction - physiopathology</subject><subject>Comparative analysis</subject><subject>Correlation analysis</subject><subject>Cortex (frontal)</subject><subject>Cortex (occipital)</subject><subject>Cortex (parietal)</subject><subject>Cortex (temporal)</subject><subject>Cross-Sectional Studies</subject><subject>Decay rate</subject><subject>Dementia disorders</subject><subject>Development and progression</subject><subject>Discriminant analysis</subject><subject>Engineering Sciences</subject><subject>Epidemiology</subject><subject>Female</subject><subject>Geriatrics</subject><subject>Hippocampus</subject><subject>Hippocampus - pathology</subject><subject>Hippocampus - physiopathology</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Imaging</subject><subject>Laboratories</subject><subject>Life Sciences</subject><subject>Longitudinal Studies</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Memory</subject><subject>Neurosciences</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Occipital lobe</subject><subject>Older people</subject><subject>Pipelines</subject><subject>ROC Curve</subject><subject>Sensitivity and Specificity</subject><subject>Shrinkage</subject><subject>Signal and Image processing</subject><subject>Studies</subject><subject>Temporal gyrus</subject><subject>Temporal lobe</subject><subject>Thinning</subject><subject>Three dimensional flow</subject><subject>Vasoactive intestinal 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comparison of two popular cortical thickness extraction algorithms: a cross-sectional and longitudinal study</title><author>Redolfi, Alberto ; Manset, David ; Barkhof, Frederik ; Wahlund, Lars-Olof ; Glatard, Tristan ; Mangin, Jean-François ; Frisoni, Giovanni B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c830t-7c5c28032adb4192e766cb397172680f8624ecf0d444322e4da5d183caaab7573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Aged</topic><topic>Aging</topic><topic>Algorithms</topic><topic>Alzheimer Disease - diagnosis</topic><topic>Alzheimer Disease - pathology</topic><topic>Alzheimer Disease - physiopathology</topic><topic>Alzheimer's disease</topic><topic>Bioengineering</topic><topic>Brain</topic><topic>Brain - pathology</topic><topic>Brain - physiopathology</topic><topic>Brain architecture</topic><topic>Brain research</topic><topic>Cognitive Dysfunction - 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Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Redolfi, Alberto</au><au>Manset, David</au><au>Barkhof, Frederik</au><au>Wahlund, Lars-Olof</au><au>Glatard, Tristan</au><au>Mangin, Jean-François</au><au>Frisoni, Giovanni B</au><au>Meuth, Sven G.</au><aucorp>neuGRID Consortium, for the Alzheimer’s Disease Neuroimaging Initiative</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Head-to-head comparison of two popular cortical thickness extraction algorithms: a cross-sectional and longitudinal study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2015-03-17</date><risdate>2015</risdate><volume>10</volume><issue>3</issue><spage>e0117692</spage><epage>e0117692</epage><pages>e0117692-e0117692</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The measurement of cortical shrinkage is a candidate marker of disease progression in Alzheimer's. This study evaluated the performance of two pipelines: Civet-CLASP (v1.1.9) and Freesurfer (v5.3.0).
Images from 185 ADNI1 cases (69 elderly controls (CTR), 37 stable MCI (sMCI), 27 progressive MCI (pMCI), and 52 Alzheimer (AD) patients) scanned at baseline, month 12, and month 24 were processed using the two pipelines and two interconnected e-infrastructures: neuGRID (https://neugrid4you.eu) and VIP (http://vip.creatis.insa-lyon.fr). The vertex-by-vertex cross-algorithm comparison was made possible applying the 3D gradient vector flow (GVF) and closest point search (CPS) techniques.
The cortical thickness measured with Freesurfer was systematically lower by one third if compared to Civet's. Cross-sectionally, Freesurfer's effect size was significantly different in the posterior division of the temporal fusiform cortex. Both pipelines were weakly or mildly correlated with the Mini Mental State Examination score (MMSE) and the hippocampal volumetry. Civet differed significantly from Freesurfer in large frontal, parietal, temporal and occipital regions (p<0.05). In a discriminant analysis with cortical ROIs having effect size larger than 0.8, both pipelines gave no significant differences in area under the curve (AUC). Longitudinally, effect sizes were not significantly different in any of the 28 ROIs tested. Both pipelines weakly correlated with MMSE decay, showing no significant differences. Freesurfer mildly correlated with hippocampal thinning rate and differed in the supramarginal gyrus, temporal gyrus, and in the lateral occipital cortex compared to Civet (p<0.05). In a discriminant analysis with ROIs having effect size larger than 0.6, both pipelines yielded no significant differences in the AUC.
Civet appears slightly more sensitive to the typical AD atrophic pattern at the MCI stage, but both pipelines can accurately characterize the topography of cortical thinning at the dementia stage.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25781983</pmid><doi>10.1371/journal.pone.0117692</doi><orcidid>https://orcid.org/0000-0003-3543-3706</orcidid><orcidid>https://orcid.org/0000-0002-1612-461X</orcidid><orcidid>https://orcid.org/0000-0003-2620-5883</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2015-03, Vol.10 (3), p.e0117692-e0117692 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1676149830 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; SWEPUB Freely available online; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Aged Aging Algorithms Alzheimer Disease - diagnosis Alzheimer Disease - pathology Alzheimer Disease - physiopathology Alzheimer's disease Bioengineering Brain Brain - pathology Brain - physiopathology Brain architecture Brain research Cognitive Dysfunction - diagnosis Cognitive Dysfunction - pathology Cognitive Dysfunction - physiopathology Comparative analysis Correlation analysis Cortex (frontal) Cortex (occipital) Cortex (parietal) Cortex (temporal) Cross-Sectional Studies Decay rate Dementia disorders Development and progression Discriminant analysis Engineering Sciences Epidemiology Female Geriatrics Hippocampus Hippocampus - pathology Hippocampus - physiopathology Hospitals Humans Image Processing, Computer-Assisted - methods Imaging Laboratories Life Sciences Longitudinal Studies Magnetic Resonance Imaging Male Medical imaging Medicine Memory Neurosciences NMR Nuclear magnetic resonance Occipital lobe Older people Pipelines ROC Curve Sensitivity and Specificity Shrinkage Signal and Image processing Studies Temporal gyrus Temporal lobe Thinning Three dimensional flow Vasoactive intestinal peptide |
| title | Head-to-head comparison of two popular cortical thickness extraction algorithms: a cross-sectional and longitudinal study |
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