Loading…
Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging
Traumatic brain injury (TBI) is caused by a sudden external force and can be very heterogeneous in its manifestation. In this work, we analyse T1-weighted magnetic resonance (MR) brain images that were prospectively acquired from patients who sustained mild to severe TBI. We investigate the potentia...
Saved in:
Published in: | PloS one 2017-11, Vol.12 (11), p.e0188152-e0188152 |
---|---|
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-c692t-8a480313d377aff3085a04c19c834c0e0a1cf103765bf1b52c0cb411ee659c713 |
---|---|
cites | cdi_FETCH-LOGICAL-c692t-8a480313d377aff3085a04c19c834c0e0a1cf103765bf1b52c0cb411ee659c713 |
container_end_page | e0188152 |
container_issue | 11 |
container_start_page | e0188152 |
container_title | PloS one |
container_volume | 12 |
creator | Ledig, Christian Kamnitsas, Konstantinos Koikkalainen, Juha Posti, Jussi P Takala, Riikka S K Katila, Ari Frantzén, Janek Ala-Seppälä, Henna Kyllönen, Anna Maanpää, Henna-Riikka Tallus, Jussi Lötjönen, Jyrki Glocker, Ben Tenovuo, Olli Rueckert, Daniel |
description | Traumatic brain injury (TBI) is caused by a sudden external force and can be very heterogeneous in its manifestation. In this work, we analyse T1-weighted magnetic resonance (MR) brain images that were prospectively acquired from patients who sustained mild to severe TBI. We investigate the potential of a recently proposed automatic segmentation method to support the outcome prediction of TBI. Specifically, we extract meaningful cross-sectional and longitudinal measurements from acute- and chronic-phase MR images. We calculate regional volume and asymmetry features at the acute/subacute stage of the injury (median: 19 days after injury), to predict the disability outcome of 67 patients at the chronic disease stage (median: 229 days after injury). Our results indicate that small structural volumes in the acute stage (e.g. of the hippocampus, accumbens, amygdala) can be strong predictors for unfavourable disease outcome. Further, group differences in atrophy are investigated. We find that patients with unfavourable outcome show increased atrophy. Among patients with severe disability outcome we observed a significantly higher mean reduction of cerebral white matter (3.1%) as compared to patients with low disability outcome (0.7%). |
doi_str_mv | 10.1371/journal.pone.0188152 |
format | article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1969918815</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A516065925</galeid><doaj_id>oai_doaj_org_article_a5620aae4b40476eaf7f3a5e856bf193</doaj_id><sourcerecordid>A516065925</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-8a480313d377aff3085a04c19c834c0e0a1cf103765bf1b52c0cb411ee659c713</originalsourceid><addsrcrecordid>eNqNk01v1DAQhiMEomXhHyCIhITgkMWO43xckKqKj5UqVSofV2viTBKvEjvYCdATfx2nm1Yb1APKIcn4mXfGrz1B8JySLWUZfbc3k9XQbQejcUtonlMePwhOacHiKI0Je3j0fRI8cW5PCGd5mj4OTuKC5nEa89PgzxU2ynidsLSgdNgbO7Smx9Feh_53gFGhHl34S41tOFqYeh-RC6z0fvJcCQ6r0OgQ5DRiFIKuQtlao5WMhtYvhj00Guc8i84X0xJD5WNKN0-DRzV0Dp8t703w7eOHr-efo4vLT7vzs4tIpkU8RjkkOWGUVSzLoK4ZyTmQRNJC5iyRBAlQWVPCspSXNS15LIksE0oRU17IjLJN8PKgO3TGicU7J2iRFsWNd57YHYjKwF4M1jdor4UBJW4CxjYCrN9DhwK4NxUAkzIhSZYi1FnNgGPOU1-9YF7r_VJtKnuspLfQQrcSXa9o1YrG_BQ8I5yyud03i4A1PyZ0o-iVk9h1oNFMc98ZibMs82e7CV79g96_u4VqwG9A6dr4unIWFWecpsTbFM_U9h7KPxX2SvqLVisfXyW8XSV4ZsTfYwOTc2L35er_2cvva_b1EdsidGPrTDeN_q66NZgcQGmNcxbrO5MpEfOc3Loh5jkRy5z4tBfHB3SXdDsY7C-3vg67</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1969918815</pqid></control><display><type>article</type><title>Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging</title><source>Publicly Available Content Database</source><source>PubMed Central</source><creator>Ledig, Christian ; Kamnitsas, Konstantinos ; Koikkalainen, Juha ; Posti, Jussi P ; Takala, Riikka S K ; Katila, Ari ; Frantzén, Janek ; Ala-Seppälä, Henna ; Kyllönen, Anna ; Maanpää, Henna-Riikka ; Tallus, Jussi ; Lötjönen, Jyrki ; Glocker, Ben ; Tenovuo, Olli ; Rueckert, Daniel</creator><contributor>Pham, Dzung</contributor><creatorcontrib>Ledig, Christian ; Kamnitsas, Konstantinos ; Koikkalainen, Juha ; Posti, Jussi P ; Takala, Riikka S K ; Katila, Ari ; Frantzén, Janek ; Ala-Seppälä, Henna ; Kyllönen, Anna ; Maanpää, Henna-Riikka ; Tallus, Jussi ; Lötjönen, Jyrki ; Glocker, Ben ; Tenovuo, Olli ; Rueckert, Daniel ; Pham, Dzung</creatorcontrib><description>Traumatic brain injury (TBI) is caused by a sudden external force and can be very heterogeneous in its manifestation. In this work, we analyse T1-weighted magnetic resonance (MR) brain images that were prospectively acquired from patients who sustained mild to severe TBI. We investigate the potential of a recently proposed automatic segmentation method to support the outcome prediction of TBI. Specifically, we extract meaningful cross-sectional and longitudinal measurements from acute- and chronic-phase MR images. We calculate regional volume and asymmetry features at the acute/subacute stage of the injury (median: 19 days after injury), to predict the disability outcome of 67 patients at the chronic disease stage (median: 229 days after injury). Our results indicate that small structural volumes in the acute stage (e.g. of the hippocampus, accumbens, amygdala) can be strong predictors for unfavourable disease outcome. Further, group differences in atrophy are investigated. We find that patients with unfavourable outcome show increased atrophy. Among patients with severe disability outcome we observed a significantly higher mean reduction of cerebral white matter (3.1%) as compared to patients with low disability outcome (0.7%).</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0188152</identifier><identifier>PMID: 29182625</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Amygdala ; Asymmetry ; Atrophy ; Biology and Life Sciences ; Brain ; Brain injuries ; Brain research ; Chronic illnesses ; Clinical medicine ; Ethics ; Head injuries ; Health aspects ; Hospitals ; Image acquisition ; Image processing ; Image segmentation ; Intensive care ; Magnetic resonance ; Magnetic resonance imaging ; Medicine ; Medicine and Health Sciences ; Morphometrics (Biology) ; Morphometry ; Neural networks ; Neuroimaging ; Neurosciences ; Neurosurgery ; NMR ; Nuclear magnetic resonance ; Pain management ; Patients ; Physiological aspects ; Research and Analysis Methods ; Researchers ; Resonance ; Segmentation ; Studies ; Substantia alba ; Traumatic brain injury</subject><ispartof>PloS one, 2017-11, Vol.12 (11), p.e0188152-e0188152</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Ledig 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>2017 Ledig et al 2017 Ledig et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-8a480313d377aff3085a04c19c834c0e0a1cf103765bf1b52c0cb411ee659c713</citedby><cites>FETCH-LOGICAL-c692t-8a480313d377aff3085a04c19c834c0e0a1cf103765bf1b52c0cb411ee659c713</cites><orcidid>0000-0003-4862-3138</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1969918815/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1969918815?pq-origsite=primo$$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/29182625$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Pham, Dzung</contributor><creatorcontrib>Ledig, Christian</creatorcontrib><creatorcontrib>Kamnitsas, Konstantinos</creatorcontrib><creatorcontrib>Koikkalainen, Juha</creatorcontrib><creatorcontrib>Posti, Jussi P</creatorcontrib><creatorcontrib>Takala, Riikka S K</creatorcontrib><creatorcontrib>Katila, Ari</creatorcontrib><creatorcontrib>Frantzén, Janek</creatorcontrib><creatorcontrib>Ala-Seppälä, Henna</creatorcontrib><creatorcontrib>Kyllönen, Anna</creatorcontrib><creatorcontrib>Maanpää, Henna-Riikka</creatorcontrib><creatorcontrib>Tallus, Jussi</creatorcontrib><creatorcontrib>Lötjönen, Jyrki</creatorcontrib><creatorcontrib>Glocker, Ben</creatorcontrib><creatorcontrib>Tenovuo, Olli</creatorcontrib><creatorcontrib>Rueckert, Daniel</creatorcontrib><title>Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Traumatic brain injury (TBI) is caused by a sudden external force and can be very heterogeneous in its manifestation. In this work, we analyse T1-weighted magnetic resonance (MR) brain images that were prospectively acquired from patients who sustained mild to severe TBI. We investigate the potential of a recently proposed automatic segmentation method to support the outcome prediction of TBI. Specifically, we extract meaningful cross-sectional and longitudinal measurements from acute- and chronic-phase MR images. We calculate regional volume and asymmetry features at the acute/subacute stage of the injury (median: 19 days after injury), to predict the disability outcome of 67 patients at the chronic disease stage (median: 229 days after injury). Our results indicate that small structural volumes in the acute stage (e.g. of the hippocampus, accumbens, amygdala) can be strong predictors for unfavourable disease outcome. Further, group differences in atrophy are investigated. We find that patients with unfavourable outcome show increased atrophy. Among patients with severe disability outcome we observed a significantly higher mean reduction of cerebral white matter (3.1%) as compared to patients with low disability outcome (0.7%).</description><subject>Amygdala</subject><subject>Asymmetry</subject><subject>Atrophy</subject><subject>Biology and Life Sciences</subject><subject>Brain</subject><subject>Brain injuries</subject><subject>Brain research</subject><subject>Chronic illnesses</subject><subject>Clinical medicine</subject><subject>Ethics</subject><subject>Head injuries</subject><subject>Health aspects</subject><subject>Hospitals</subject><subject>Image acquisition</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>Intensive care</subject><subject>Magnetic resonance</subject><subject>Magnetic resonance imaging</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Morphometrics (Biology)</subject><subject>Morphometry</subject><subject>Neural networks</subject><subject>Neuroimaging</subject><subject>Neurosciences</subject><subject>Neurosurgery</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Pain management</subject><subject>Patients</subject><subject>Physiological aspects</subject><subject>Research and Analysis Methods</subject><subject>Researchers</subject><subject>Resonance</subject><subject>Segmentation</subject><subject>Studies</subject><subject>Substantia alba</subject><subject>Traumatic brain injury</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk01v1DAQhiMEomXhHyCIhITgkMWO43xckKqKj5UqVSofV2viTBKvEjvYCdATfx2nm1Yb1APKIcn4mXfGrz1B8JySLWUZfbc3k9XQbQejcUtonlMePwhOacHiKI0Je3j0fRI8cW5PCGd5mj4OTuKC5nEa89PgzxU2ynidsLSgdNgbO7Smx9Feh_53gFGhHl34S41tOFqYeh-RC6z0fvJcCQ6r0OgQ5DRiFIKuQtlao5WMhtYvhj00Guc8i84X0xJD5WNKN0-DRzV0Dp8t703w7eOHr-efo4vLT7vzs4tIpkU8RjkkOWGUVSzLoK4ZyTmQRNJC5iyRBAlQWVPCspSXNS15LIksE0oRU17IjLJN8PKgO3TGicU7J2iRFsWNd57YHYjKwF4M1jdor4UBJW4CxjYCrN9DhwK4NxUAkzIhSZYi1FnNgGPOU1-9YF7r_VJtKnuspLfQQrcSXa9o1YrG_BQ8I5yyud03i4A1PyZ0o-iVk9h1oNFMc98ZibMs82e7CV79g96_u4VqwG9A6dr4unIWFWecpsTbFM_U9h7KPxX2SvqLVisfXyW8XSV4ZsTfYwOTc2L35er_2cvva_b1EdsidGPrTDeN_q66NZgcQGmNcxbrO5MpEfOc3Loh5jkRy5z4tBfHB3SXdDsY7C-3vg67</recordid><startdate>20171128</startdate><enddate>20171128</enddate><creator>Ledig, Christian</creator><creator>Kamnitsas, Konstantinos</creator><creator>Koikkalainen, Juha</creator><creator>Posti, Jussi P</creator><creator>Takala, Riikka S K</creator><creator>Katila, Ari</creator><creator>Frantzén, Janek</creator><creator>Ala-Seppälä, Henna</creator><creator>Kyllönen, Anna</creator><creator>Maanpää, Henna-Riikka</creator><creator>Tallus, Jussi</creator><creator>Lötjönen, Jyrki</creator><creator>Glocker, Ben</creator><creator>Tenovuo, Olli</creator><creator>Rueckert, Daniel</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-4862-3138</orcidid></search><sort><creationdate>20171128</creationdate><title>Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging</title><author>Ledig, Christian ; Kamnitsas, Konstantinos ; Koikkalainen, Juha ; Posti, Jussi P ; Takala, Riikka S K ; Katila, Ari ; Frantzén, Janek ; Ala-Seppälä, Henna ; Kyllönen, Anna ; Maanpää, Henna-Riikka ; Tallus, Jussi ; Lötjönen, Jyrki ; Glocker, Ben ; Tenovuo, Olli ; Rueckert, Daniel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-8a480313d377aff3085a04c19c834c0e0a1cf103765bf1b52c0cb411ee659c713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Amygdala</topic><topic>Asymmetry</topic><topic>Atrophy</topic><topic>Biology and Life Sciences</topic><topic>Brain</topic><topic>Brain injuries</topic><topic>Brain research</topic><topic>Chronic illnesses</topic><topic>Clinical medicine</topic><topic>Ethics</topic><topic>Head injuries</topic><topic>Health aspects</topic><topic>Hospitals</topic><topic>Image acquisition</topic><topic>Image processing</topic><topic>Image segmentation</topic><topic>Intensive care</topic><topic>Magnetic resonance</topic><topic>Magnetic resonance imaging</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Morphometrics (Biology)</topic><topic>Morphometry</topic><topic>Neural networks</topic><topic>Neuroimaging</topic><topic>Neurosciences</topic><topic>Neurosurgery</topic><topic>NMR</topic><topic>Nuclear magnetic resonance</topic><topic>Pain management</topic><topic>Patients</topic><topic>Physiological aspects</topic><topic>Research and Analysis Methods</topic><topic>Researchers</topic><topic>Resonance</topic><topic>Segmentation</topic><topic>Studies</topic><topic>Substantia alba</topic><topic>Traumatic brain injury</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ledig, Christian</creatorcontrib><creatorcontrib>Kamnitsas, Konstantinos</creatorcontrib><creatorcontrib>Koikkalainen, Juha</creatorcontrib><creatorcontrib>Posti, Jussi P</creatorcontrib><creatorcontrib>Takala, Riikka S K</creatorcontrib><creatorcontrib>Katila, Ari</creatorcontrib><creatorcontrib>Frantzén, Janek</creatorcontrib><creatorcontrib>Ala-Seppälä, Henna</creatorcontrib><creatorcontrib>Kyllönen, Anna</creatorcontrib><creatorcontrib>Maanpää, Henna-Riikka</creatorcontrib><creatorcontrib>Tallus, Jussi</creatorcontrib><creatorcontrib>Lötjönen, Jyrki</creatorcontrib><creatorcontrib>Glocker, Ben</creatorcontrib><creatorcontrib>Tenovuo, Olli</creatorcontrib><creatorcontrib>Rueckert, Daniel</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</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</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</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 Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</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>Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ledig, Christian</au><au>Kamnitsas, Konstantinos</au><au>Koikkalainen, Juha</au><au>Posti, Jussi P</au><au>Takala, Riikka S K</au><au>Katila, Ari</au><au>Frantzén, Janek</au><au>Ala-Seppälä, Henna</au><au>Kyllönen, Anna</au><au>Maanpää, Henna-Riikka</au><au>Tallus, Jussi</au><au>Lötjönen, Jyrki</au><au>Glocker, Ben</au><au>Tenovuo, Olli</au><au>Rueckert, Daniel</au><au>Pham, Dzung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-11-28</date><risdate>2017</risdate><volume>12</volume><issue>11</issue><spage>e0188152</spage><epage>e0188152</epage><pages>e0188152-e0188152</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Traumatic brain injury (TBI) is caused by a sudden external force and can be very heterogeneous in its manifestation. In this work, we analyse T1-weighted magnetic resonance (MR) brain images that were prospectively acquired from patients who sustained mild to severe TBI. We investigate the potential of a recently proposed automatic segmentation method to support the outcome prediction of TBI. Specifically, we extract meaningful cross-sectional and longitudinal measurements from acute- and chronic-phase MR images. We calculate regional volume and asymmetry features at the acute/subacute stage of the injury (median: 19 days after injury), to predict the disability outcome of 67 patients at the chronic disease stage (median: 229 days after injury). Our results indicate that small structural volumes in the acute stage (e.g. of the hippocampus, accumbens, amygdala) can be strong predictors for unfavourable disease outcome. Further, group differences in atrophy are investigated. We find that patients with unfavourable outcome show increased atrophy. Among patients with severe disability outcome we observed a significantly higher mean reduction of cerebral white matter (3.1%) as compared to patients with low disability outcome (0.7%).</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29182625</pmid><doi>10.1371/journal.pone.0188152</doi><tpages>e0188152</tpages><orcidid>https://orcid.org/0000-0003-4862-3138</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2017-11, Vol.12 (11), p.e0188152-e0188152 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1969918815 |
source | Publicly Available Content Database; PubMed Central |
subjects | Amygdala Asymmetry Atrophy Biology and Life Sciences Brain Brain injuries Brain research Chronic illnesses Clinical medicine Ethics Head injuries Health aspects Hospitals Image acquisition Image processing Image segmentation Intensive care Magnetic resonance Magnetic resonance imaging Medicine Medicine and Health Sciences Morphometrics (Biology) Morphometry Neural networks Neuroimaging Neurosciences Neurosurgery NMR Nuclear magnetic resonance Pain management Patients Physiological aspects Research and Analysis Methods Researchers Resonance Segmentation Studies Substantia alba Traumatic brain injury |
title | Regional brain morphometry in patients with traumatic brain injury based on acute- and chronic-phase magnetic resonance imaging |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T21%3A56%3A22IST&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=Regional%20brain%20morphometry%20in%20patients%20with%20traumatic%20brain%20injury%20based%20on%20acute-%20and%20chronic-phase%20magnetic%20resonance%20imaging&rft.jtitle=PloS%20one&rft.au=Ledig,%20Christian&rft.date=2017-11-28&rft.volume=12&rft.issue=11&rft.spage=e0188152&rft.epage=e0188152&rft.pages=e0188152-e0188152&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0188152&rft_dat=%3Cgale_plos_%3EA516065925%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c692t-8a480313d377aff3085a04c19c834c0e0a1cf103765bf1b52c0cb411ee659c713%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1969918815&rft_id=info:pmid/29182625&rft_galeid=A516065925&rfr_iscdi=true |