An investigation of age-related iron deposition using susceptibility weighted imaging
To quantify age-dependent iron deposition changes in healthy subjects using Susceptibility Weighted Imaging (SWI). In total, 143 healthy volunteers were enrolled. All underwent conventional MR and SWI sequences. Subjects were divided into eight groups according to age. Using phase images to quantify...
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| creator | Wang, Dan Li, Wen-Bin Wei, Xiao-Er Li, Yue-Hua Dai, Yong-Ming |
| description | To quantify age-dependent iron deposition changes in healthy subjects using Susceptibility Weighted Imaging (SWI).
In total, 143 healthy volunteers were enrolled. All underwent conventional MR and SWI sequences. Subjects were divided into eight groups according to age. Using phase images to quantify iron deposition in the head of the caudate nucleus and the lenticular nucleus, the angle radian value was calculated and compared between groups. ANOVA/Pearson correlation coefficient linear regression analysis and polynomial fitting were performed to analyze the relationship between iron deposition in the head of the caudate nucleus and lenticular nucleus with age.
Iron deposition in the lenticular nucleus increased in individuals aged up to 40 years, but did not change in those aged over 40 years once a peak had been reached. In the head of the caudate nucleus, iron deposition peaked at 60 years (p |
| doi_str_mv | 10.1371/journal.pone.0050706 |
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In total, 143 healthy volunteers were enrolled. All underwent conventional MR and SWI sequences. Subjects were divided into eight groups according to age. Using phase images to quantify iron deposition in the head of the caudate nucleus and the lenticular nucleus, the angle radian value was calculated and compared between groups. ANOVA/Pearson correlation coefficient linear regression analysis and polynomial fitting were performed to analyze the relationship between iron deposition in the head of the caudate nucleus and lenticular nucleus with age.
Iron deposition in the lenticular nucleus increased in individuals aged up to 40 years, but did not change in those aged over 40 years once a peak had been reached. In the head of the caudate nucleus, iron deposition peaked at 60 years (p<0.05). The correlation coefficients for iron deposition in the L-head of the caudate nucleus, R-head of the caudate nucleus, L-lenticular nucleus and R-lenticular nucleus with age were 0.67691, 0.48585, 0.5228 and 0.5228 (p<0.001, respectively). Linear regression analyses showed a significant correlation between iron deposition levels in with age groups.
Iron deposition in the lenticular nucleus was found to increase with age, reaching a plateau at 40 years. Iron deposition in the head of the caudate nucleus also increased with age, reaching a plateau at 60 years.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0050706</identifier><identifier>PMID: 23226360</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Age ; Aged ; Aged, 80 and over ; Aging - metabolism ; Biology ; Brain ; Caudate nucleus ; Caudate Nucleus - metabolism ; Child ; Correlation ; Correlation analysis ; Correlation coefficient ; Correlation coefficients ; Deposition ; Female ; Head ; Humans ; Investigations ; Iron ; Iron - metabolism ; Magnetic Resonance Imaging - methods ; Male ; Mathematical analysis ; Medical imaging ; Medical imaging equipment ; Medicine ; Middle Aged ; Mineralization ; Nuclei ; Regression analysis ; Retrospective Studies ; Variance analysis ; Young Adult</subject><ispartof>PloS one, 2012-11, Vol.7 (11), p.e50706-e50706</ispartof><rights>COPYRIGHT 2012 Public Library of Science</rights><rights>2012 Wang 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>2012 Wang et al 2012 Wang et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-4c0c39a8b07618ff58bbc4b62f4f5ee9a17ed8f373e51c2f5397439a038a0bd13</citedby><cites>FETCH-LOGICAL-c692t-4c0c39a8b07618ff58bbc4b62f4f5ee9a17ed8f373e51c2f5397439a038a0bd13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3511361/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3511361/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,862,883,2098,2917,23849,27907,27908,53774,53776,79351,79352</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23226360$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Yang, Yanmin</contributor><creatorcontrib>Wang, Dan</creatorcontrib><creatorcontrib>Li, Wen-Bin</creatorcontrib><creatorcontrib>Wei, Xiao-Er</creatorcontrib><creatorcontrib>Li, Yue-Hua</creatorcontrib><creatorcontrib>Dai, Yong-Ming</creatorcontrib><title>An investigation of age-related iron deposition using susceptibility weighted imaging</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To quantify age-dependent iron deposition changes in healthy subjects using Susceptibility Weighted Imaging (SWI).
In total, 143 healthy volunteers were enrolled. All underwent conventional MR and SWI sequences. Subjects were divided into eight groups according to age. Using phase images to quantify iron deposition in the head of the caudate nucleus and the lenticular nucleus, the angle radian value was calculated and compared between groups. ANOVA/Pearson correlation coefficient linear regression analysis and polynomial fitting were performed to analyze the relationship between iron deposition in the head of the caudate nucleus and lenticular nucleus with age.
Iron deposition in the lenticular nucleus increased in individuals aged up to 40 years, but did not change in those aged over 40 years once a peak had been reached. In the head of the caudate nucleus, iron deposition peaked at 60 years (p<0.05). The correlation coefficients for iron deposition in the L-head of the caudate nucleus, R-head of the caudate nucleus, L-lenticular nucleus and R-lenticular nucleus with age were 0.67691, 0.48585, 0.5228 and 0.5228 (p<0.001, respectively). Linear regression analyses showed a significant correlation between iron deposition levels in with age groups.
Iron deposition in the lenticular nucleus was found to increase with age, reaching a plateau at 40 years. Iron deposition in the head of the caudate nucleus also increased with age, reaching a plateau at 60 years.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging - metabolism</subject><subject>Biology</subject><subject>Brain</subject><subject>Caudate nucleus</subject><subject>Caudate Nucleus - metabolism</subject><subject>Child</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Deposition</subject><subject>Female</subject><subject>Head</subject><subject>Humans</subject><subject>Investigations</subject><subject>Iron</subject><subject>Iron - metabolism</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Mathematical analysis</subject><subject>Medical imaging</subject><subject>Medical imaging equipment</subject><subject>Medicine</subject><subject>Middle Aged</subject><subject>Mineralization</subject><subject>Nuclei</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Variance analysis</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkk1v1DAQhiMEoqXwDxBEQkJw2MUfiRNfkKqKj5UqVQLK1XKccdYrb7zYTqH_Hmc3rTaoB5SDo5lnXs-M3yx7idES0wp_2LjB99Iud66HJUIlqhB7lJ1iTsmCEUQfH_2fZM9C2CSI1ow9zU4IJYRRhk6z6_M-N_0NhGg6GY3rc6dz2cHCg5UR2tz4FGth54LZp4dg-i4PQ1Cwi6Yx1sTb_DeYbr2nt7JL-efZEy1tgBfTeZZdf_704-Lr4vLqy-ri_HKhGCdxUSikKJd1gyqGa63LumlU0TCiC10CcIkraGtNKwolVkSXlFdFKkC0lqhpMT3LXh90d9YFMW0kCExLjFhV8zIRqwPROrkRO58a9LfCSSP2Aec7IX00yoIoScM1QkpzzAtgnNdtCwxzhFWrGqmS1sfptqHZQqugj17ameg805u16NyNSO1gysZ2300C3v0a0s7F1qQ9Wit7cEPqm9CqRJyURULf_IM-PN1EdTINYHrt0r1qFBXnRZVGGNFELR-g0tfC1qhkH21SfFbwflaQmAh_YieHEMTq-7f_Z69-ztm3R-wapI3r4OwwGivMweIAKu9C8KDvl4yRGN1_tw0xul9M7k9lr44f6L7ozu70L3JrADw</recordid><startdate>20121130</startdate><enddate>20121130</enddate><creator>Wang, Dan</creator><creator>Li, Wen-Bin</creator><creator>Wei, Xiao-Er</creator><creator>Li, Yue-Hua</creator><creator>Dai, Yong-Ming</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>AEUYN</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></search><sort><creationdate>20121130</creationdate><title>An investigation of age-related iron deposition using susceptibility weighted imaging</title><author>Wang, Dan ; Li, Wen-Bin ; Wei, Xiao-Er ; Li, Yue-Hua ; Dai, Yong-Ming</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-4c0c39a8b07618ff58bbc4b62f4f5ee9a17ed8f373e51c2f5397439a038a0bd13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging - metabolism</topic><topic>Biology</topic><topic>Brain</topic><topic>Caudate nucleus</topic><topic>Caudate Nucleus - metabolism</topic><topic>Child</topic><topic>Correlation</topic><topic>Correlation analysis</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Deposition</topic><topic>Female</topic><topic>Head</topic><topic>Humans</topic><topic>Investigations</topic><topic>Iron</topic><topic>Iron - metabolism</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Mathematical analysis</topic><topic>Medical imaging</topic><topic>Medical imaging equipment</topic><topic>Medicine</topic><topic>Middle Aged</topic><topic>Mineralization</topic><topic>Nuclei</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Variance analysis</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Dan</creatorcontrib><creatorcontrib>Li, Wen-Bin</creatorcontrib><creatorcontrib>Wei, Xiao-Er</creatorcontrib><creatorcontrib>Li, Yue-Hua</creatorcontrib><creatorcontrib>Dai, Yong-Ming</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</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 Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>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 - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Dan</au><au>Li, Wen-Bin</au><au>Wei, Xiao-Er</au><au>Li, Yue-Hua</au><au>Dai, Yong-Ming</au><au>Yang, Yanmin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An investigation of age-related iron deposition using susceptibility weighted imaging</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2012-11-30</date><risdate>2012</risdate><volume>7</volume><issue>11</issue><spage>e50706</spage><epage>e50706</epage><pages>e50706-e50706</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To quantify age-dependent iron deposition changes in healthy subjects using Susceptibility Weighted Imaging (SWI).
In total, 143 healthy volunteers were enrolled. All underwent conventional MR and SWI sequences. Subjects were divided into eight groups according to age. Using phase images to quantify iron deposition in the head of the caudate nucleus and the lenticular nucleus, the angle radian value was calculated and compared between groups. ANOVA/Pearson correlation coefficient linear regression analysis and polynomial fitting were performed to analyze the relationship between iron deposition in the head of the caudate nucleus and lenticular nucleus with age.
Iron deposition in the lenticular nucleus increased in individuals aged up to 40 years, but did not change in those aged over 40 years once a peak had been reached. In the head of the caudate nucleus, iron deposition peaked at 60 years (p<0.05). The correlation coefficients for iron deposition in the L-head of the caudate nucleus, R-head of the caudate nucleus, L-lenticular nucleus and R-lenticular nucleus with age were 0.67691, 0.48585, 0.5228 and 0.5228 (p<0.001, respectively). Linear regression analyses showed a significant correlation between iron deposition levels in with age groups.
Iron deposition in the lenticular nucleus was found to increase with age, reaching a plateau at 40 years. Iron deposition in the head of the caudate nucleus also increased with age, reaching a plateau at 60 years.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23226360</pmid><doi>10.1371/journal.pone.0050706</doi><tpages>e50706</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Adult Age Aged Aged, 80 and over Aging - metabolism Biology Brain Caudate nucleus Caudate Nucleus - metabolism Child Correlation Correlation analysis Correlation coefficient Correlation coefficients Deposition Female Head Humans Investigations Iron Iron - metabolism Magnetic Resonance Imaging - methods Male Mathematical analysis Medical imaging Medical imaging equipment Medicine Middle Aged Mineralization Nuclei Regression analysis Retrospective Studies Variance analysis Young Adult |
| title | An investigation of age-related iron deposition using susceptibility weighted imaging |
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