Separation of hepatic iron and fat by dual-source dual-energy computed tomography based on material decomposition: an animal study
To explore the feasibility of dual-source dual-energy computed tomography (DSDECT) for hepatic iron and fat separation in vivo. All of the procedures in this study were approved by the Research Animal Resource Center of Shanghai Ruijin Hospital. Sixty rats that underwent DECT scanning were divided i...
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| description | To explore the feasibility of dual-source dual-energy computed tomography (DSDECT) for hepatic iron and fat separation in vivo.
All of the procedures in this study were approved by the Research Animal Resource Center of Shanghai Ruijin Hospital. Sixty rats that underwent DECT scanning were divided into the normal group, fatty liver group, liver iron group, and coexisting liver iron and fat group, according to Prussian blue and HE staining. The data for each group were reconstructed and post-processed by an iron-specific, three-material decomposition algorithm. The iron enhancement value and the virtual non-iron contrast value, which indicated overloaded liver iron and residual liver tissue, respectively, were measured. Spearman's correlation and one-way analysis of variance (ANOVA) were performed, respectively, to analyze statistically the correlations with the histopathological results and differences among groups.
The iron enhancement values were positively correlated with the iron pathology grading (r = 0.729, p |
| doi_str_mv | 10.1371/journal.pone.0110964 |
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All of the procedures in this study were approved by the Research Animal Resource Center of Shanghai Ruijin Hospital. Sixty rats that underwent DECT scanning were divided into the normal group, fatty liver group, liver iron group, and coexisting liver iron and fat group, according to Prussian blue and HE staining. The data for each group were reconstructed and post-processed by an iron-specific, three-material decomposition algorithm. The iron enhancement value and the virtual non-iron contrast value, which indicated overloaded liver iron and residual liver tissue, respectively, were measured. Spearman's correlation and one-way analysis of variance (ANOVA) were performed, respectively, to analyze statistically the correlations with the histopathological results and differences among groups.
The iron enhancement values were positively correlated with the iron pathology grading (r = 0.729, p<0.001). Virtual non-iron contrast (VNC) values were negatively correlated with the fat pathology grading (r = -0.642,p<0.0001). Different groups showed significantly different iron enhancement values and VNC values (F = 25.308,p<0.001; F = 10.911, p<0.001, respectively). Among the groups, significant differences in iron enhancement values were only observed between the iron-present and iron-absent groups, and differences in VNC values were only observed between the fat-present and fat-absent groups.
Separation of hepatic iron and fat by dual energy material decomposition in vivo was feasible, even when they coexisted.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0110964</identifier><identifier>PMID: 25356845</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Absorptiometry, Photon - methods ; Adipose Tissue - diagnostic imaging ; Adipose Tissue - metabolism ; Algorithms ; Animals ; CAT scans ; Clinical medicine ; Computation ; Computed tomography ; Correlation ; Correlation analysis ; Decomposition ; Energy ; Evaluation ; Fatty liver ; Feasibility studies ; Grading ; Hospitals ; In vivo methods and tests ; Iodine ; Iron ; Iron - metabolism ; Iron compounds ; Iron Overload - diagnostic imaging ; Iron Overload - metabolism ; Liver ; Liver - diagnostic imaging ; Liver - metabolism ; Liver cancer ; Liver diseases ; Male ; Medical imaging ; Medicine and Health Sciences ; NMR ; Nuclear magnetic resonance ; Pathology ; Pigments ; Rats ; Rats, Wistar ; Rodents ; Separation ; Ultrasonic imaging ; Variance analysis</subject><ispartof>PloS one, 2014-10, Vol.9 (10), p.e110964-e110964</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Ma 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>2014 Ma et al 2014 Ma et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-9e1008dbf8e92a03e4be13583e4101bb22a7f8925c72e10d3854b26c42b60ad43</citedby><cites>FETCH-LOGICAL-c758t-9e1008dbf8e92a03e4be13583e4101bb22a7f8925c72e10d3854b26c42b60ad43</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/PMC4214685/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4214685/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25356845$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ma, Jing</creatorcontrib><creatorcontrib>Song, Zhi-Qiang</creatorcontrib><creatorcontrib>Yan, Fu-Hua</creatorcontrib><title>Separation of hepatic iron and fat by dual-source dual-energy computed tomography based on material decomposition: an animal study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>To explore the feasibility of dual-source dual-energy computed tomography (DSDECT) for hepatic iron and fat separation in vivo.
All of the procedures in this study were approved by the Research Animal Resource Center of Shanghai Ruijin Hospital. Sixty rats that underwent DECT scanning were divided into the normal group, fatty liver group, liver iron group, and coexisting liver iron and fat group, according to Prussian blue and HE staining. The data for each group were reconstructed and post-processed by an iron-specific, three-material decomposition algorithm. The iron enhancement value and the virtual non-iron contrast value, which indicated overloaded liver iron and residual liver tissue, respectively, were measured. Spearman's correlation and one-way analysis of variance (ANOVA) were performed, respectively, to analyze statistically the correlations with the histopathological results and differences among groups.
The iron enhancement values were positively correlated with the iron pathology grading (r = 0.729, p<0.001). Virtual non-iron contrast (VNC) values were negatively correlated with the fat pathology grading (r = -0.642,p<0.0001). Different groups showed significantly different iron enhancement values and VNC values (F = 25.308,p<0.001; F = 10.911, p<0.001, respectively). Among the groups, significant differences in iron enhancement values were only observed between the iron-present and iron-absent groups, and differences in VNC values were only observed between the fat-present and fat-absent groups.
Separation of hepatic iron and fat by dual energy material decomposition in vivo was feasible, even when they coexisted.</description><subject>Absorptiometry, Photon - methods</subject><subject>Adipose Tissue - diagnostic imaging</subject><subject>Adipose Tissue - metabolism</subject><subject>Algorithms</subject><subject>Animals</subject><subject>CAT scans</subject><subject>Clinical medicine</subject><subject>Computation</subject><subject>Computed tomography</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>Decomposition</subject><subject>Energy</subject><subject>Evaluation</subject><subject>Fatty liver</subject><subject>Feasibility studies</subject><subject>Grading</subject><subject>Hospitals</subject><subject>In vivo methods and tests</subject><subject>Iodine</subject><subject>Iron</subject><subject>Iron - metabolism</subject><subject>Iron compounds</subject><subject>Iron Overload - diagnostic imaging</subject><subject>Iron Overload - metabolism</subject><subject>Liver</subject><subject>Liver - diagnostic imaging</subject><subject>Liver - metabolism</subject><subject>Liver cancer</subject><subject>Liver diseases</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine and Health Sciences</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Pathology</subject><subject>Pigments</subject><subject>Rats</subject><subject>Rats, Wistar</subject><subject>Rodents</subject><subject>Separation</subject><subject>Ultrasonic imaging</subject><subject>Variance analysis</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9-L1DAQx4so3nn6H4gWBNGHXfOrbeqDcBz-WDg48NTXME3Sbo62qUkq7qt_uelu79jKPUgDnUw-851kkkmS5xitMS3wuxs7uh7a9WB7vUYYozJnD5JTXFKyygmiD4_sk-SJ9zcIZZTn-ePkhGQ0yznLTpM_13oAB8HYPrV1uo2zYGRqXJxDr9IaQlrtUjVCu_Ixo9QHW_faNbtU2m4Yg1ZpsJ1tHAzbXVqBj44Y30HQzkCbKj1x1pspzfuoG4fp4oIPo9o9TR7V0Hr9bP6fJd8_ffx28WV1efV5c3F-uZJFxsOq1Bghrqqa65IAoppVGtOMRwMjXFWEQFHzkmSyIBFVlGesIrlkpMoRKEbPkpcH3aG1Xszl8wLnmHOaMZpHYnMglIUbMbi4R7cTFozYO6xrBLhYnlYLKHTFiqIsWJmxmgOXiFUKUYkRJbicsn2Ys41Vp5XUfXDQLkSXK73Zisb-EoxglvMsCryZBZz9OWofRGe81G0Lvbbjft8lxZySIqKv_kHvP91MNRAPYPraxrxyEhXnDBeYsXJPre-h4qd0Z2R8a7WJ_kXA20VAZIL-HRoYvReb66__z179WLKvj9ithjZsvW3H6Q35JcgOoHTWe6fruyJjJKZWua2GmFpFzK0Sw14cX9Bd0G1v0L9f4g7j</recordid><startdate>20141030</startdate><enddate>20141030</enddate><creator>Ma, Jing</creator><creator>Song, Zhi-Qiang</creator><creator>Yan, Fu-Hua</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>20141030</creationdate><title>Separation of hepatic iron and fat by dual-source dual-energy computed tomography based on material decomposition: an animal study</title><author>Ma, Jing ; Song, Zhi-Qiang ; Yan, Fu-Hua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-9e1008dbf8e92a03e4be13583e4101bb22a7f8925c72e10d3854b26c42b60ad43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Absorptiometry, Photon - 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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>Ma, Jing</au><au>Song, Zhi-Qiang</au><au>Yan, Fu-Hua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Separation of hepatic iron and fat by dual-source dual-energy computed tomography based on material decomposition: an animal study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-10-30</date><risdate>2014</risdate><volume>9</volume><issue>10</issue><spage>e110964</spage><epage>e110964</epage><pages>e110964-e110964</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>To explore the feasibility of dual-source dual-energy computed tomography (DSDECT) for hepatic iron and fat separation in vivo.
All of the procedures in this study were approved by the Research Animal Resource Center of Shanghai Ruijin Hospital. Sixty rats that underwent DECT scanning were divided into the normal group, fatty liver group, liver iron group, and coexisting liver iron and fat group, according to Prussian blue and HE staining. The data for each group were reconstructed and post-processed by an iron-specific, three-material decomposition algorithm. The iron enhancement value and the virtual non-iron contrast value, which indicated overloaded liver iron and residual liver tissue, respectively, were measured. Spearman's correlation and one-way analysis of variance (ANOVA) were performed, respectively, to analyze statistically the correlations with the histopathological results and differences among groups.
The iron enhancement values were positively correlated with the iron pathology grading (r = 0.729, p<0.001). Virtual non-iron contrast (VNC) values were negatively correlated with the fat pathology grading (r = -0.642,p<0.0001). Different groups showed significantly different iron enhancement values and VNC values (F = 25.308,p<0.001; F = 10.911, p<0.001, respectively). Among the groups, significant differences in iron enhancement values were only observed between the iron-present and iron-absent groups, and differences in VNC values were only observed between the fat-present and fat-absent groups.
Separation of hepatic iron and fat by dual energy material decomposition in vivo was feasible, even when they coexisted.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25356845</pmid><doi>10.1371/journal.pone.0110964</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Absorptiometry, Photon - methods Adipose Tissue - diagnostic imaging Adipose Tissue - metabolism Algorithms Animals CAT scans Clinical medicine Computation Computed tomography Correlation Correlation analysis Decomposition Energy Evaluation Fatty liver Feasibility studies Grading Hospitals In vivo methods and tests Iodine Iron Iron - metabolism Iron compounds Iron Overload - diagnostic imaging Iron Overload - metabolism Liver Liver - diagnostic imaging Liver - metabolism Liver cancer Liver diseases Male Medical imaging Medicine and Health Sciences NMR Nuclear magnetic resonance Pathology Pigments Rats Rats, Wistar Rodents Separation Ultrasonic imaging Variance analysis |
| title | Separation of hepatic iron and fat by dual-source dual-energy computed tomography based on material decomposition: an animal study |
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