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3D Chemical Shift‐Encoded MRI for Volume and Composition Quantification of Abdominal Adipose Tissue During an Overfeeding Protocol in Healthy Volunteers
Background Overweight and obesity are major worldwide health concerns characterized by an abnormal accumulation of fat in adipose tissue (AT) and liver. Purpose To evaluate the volume and the fatty acid (FA) composition of the subcutaneous adipose tissue (SAT) and the visceral adipose tissue (VAT) a...
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Published in: | Journal of magnetic resonance imaging 2019-06, Vol.49 (6), p.1587-1599 |
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container_title | Journal of magnetic resonance imaging |
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creator | Nemeth, Angeline Segrestin, Bérénice Leporq, Benjamin Seyssel, Kevin Faraz, Khuram Sauvinet, Valérie Disse, Emmanuel Valette, Pierre‐Jean Laville, Martine Ratiney, Hélène Beuf, Olivier |
description | Background
Overweight and obesity are major worldwide health concerns characterized by an abnormal accumulation of fat in adipose tissue (AT) and liver.
Purpose
To evaluate the volume and the fatty acid (FA) composition of the subcutaneous adipose tissue (SAT) and the visceral adipose tissue (VAT) and the fat content in the liver from 3D chemical‐shift‐encoded (CSE)‐MRI acquisition, before and after a 31‐day overfeeding protocol.
Study Type
Prospective and longitudinal study.
Subjects
Twenty‐one nonobese healthy male volunteers.
Field Strength/Sequence
A 3D spoiled‐gradient multiple echo sequence and STEAM sequence were performed at 3T.
Assessment
AT volume was automatically segmented on CSE‐MRI between L2 to L4 lumbar vertebrae and compared to the dual‐energy X‐ray absorptiometry (DEXA) measurement. CSE‐MRI and MR spectroscopy (MRS) data were analyzed to assess the proton density fat fraction (PDFF) in the liver and the FA composition in SAT and VAT. Gas chromatography‐mass spectrometry (GC‐MS) analyses were performed on 13 SAT samples as a FA composition countermeasure.
Statistical Tests
Paired t‐test, Pearson's correlation coefficient, and Bland–Altman plots were used to compare measurements.
Results
SAT and VAT volumes significantly increased (P |
doi_str_mv | 10.1002/jmri.26532 |
format | article |
fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_01917470v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2220575414</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4272-4d67eeb7907f94b33d81447dd749937b439ffc2b7f38c4bbdb0af477873524a03</originalsourceid><addsrcrecordid>eNp90ctu1DAYBeAIgWgpbHgAZIkNIKX4lnG8HE0LUzSoXApby4l_Mx458dROimbHI7Dm8XgSPJPSBQtWvujzseVTFE8JPiUY09ebLrpTOqsYvVcck4rSklb17H6e44qVpMbiqHiU0gZjLCWvHhZHDDNaUyaOi1_sDC3W0LlWe_R57ezw-8fP874NBgx6_-kC2RDR1-DHDpDuDVqEbhuSG1zo0cdR94Oz-ehhGSyaNyZ0rs9Rc-OyA3TlUhoBnY3R9d9yArq8gWgBzH75IYYhtMEj16MlaD-sd4e7-gEgpsfFA6t9gie340nx5c351WJZri7fXizmq7LlVNCSm5kAaITEwkreMGZqwrkwRnApmWg4k9a2tBGW1S1vGtNgbbkQtWAV5Rqzk-LllLvWXm2j63TcqaCdWs5Xar-HiSSCC3xDsn0x2W0M1yOkQXUuteC97iGMSVFCCZdshutMn_9DN2GM-W-yohRXouKEZ_VqUm0MKUWwdy8gWO3bVft21aHdjJ_dRo5NB-aO_q0zAzKB787D7j9R6l3udgr9AzUXsCI</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2220575414</pqid></control><display><type>article</type><title>3D Chemical Shift‐Encoded MRI for Volume and Composition Quantification of Abdominal Adipose Tissue During an Overfeeding Protocol in Healthy Volunteers</title><source>Wiley</source><creator>Nemeth, Angeline ; Segrestin, Bérénice ; Leporq, Benjamin ; Seyssel, Kevin ; Faraz, Khuram ; Sauvinet, Valérie ; Disse, Emmanuel ; Valette, Pierre‐Jean ; Laville, Martine ; Ratiney, Hélène ; Beuf, Olivier</creator><creatorcontrib>Nemeth, Angeline ; Segrestin, Bérénice ; Leporq, Benjamin ; Seyssel, Kevin ; Faraz, Khuram ; Sauvinet, Valérie ; Disse, Emmanuel ; Valette, Pierre‐Jean ; Laville, Martine ; Ratiney, Hélène ; Beuf, Olivier</creatorcontrib><description>Background
Overweight and obesity are major worldwide health concerns characterized by an abnormal accumulation of fat in adipose tissue (AT) and liver.
Purpose
To evaluate the volume and the fatty acid (FA) composition of the subcutaneous adipose tissue (SAT) and the visceral adipose tissue (VAT) and the fat content in the liver from 3D chemical‐shift‐encoded (CSE)‐MRI acquisition, before and after a 31‐day overfeeding protocol.
Study Type
Prospective and longitudinal study.
Subjects
Twenty‐one nonobese healthy male volunteers.
Field Strength/Sequence
A 3D spoiled‐gradient multiple echo sequence and STEAM sequence were performed at 3T.
Assessment
AT volume was automatically segmented on CSE‐MRI between L2 to L4 lumbar vertebrae and compared to the dual‐energy X‐ray absorptiometry (DEXA) measurement. CSE‐MRI and MR spectroscopy (MRS) data were analyzed to assess the proton density fat fraction (PDFF) in the liver and the FA composition in SAT and VAT. Gas chromatography‐mass spectrometry (GC‐MS) analyses were performed on 13 SAT samples as a FA composition countermeasure.
Statistical Tests
Paired t‐test, Pearson's correlation coefficient, and Bland–Altman plots were used to compare measurements.
Results
SAT and VAT volumes significantly increased (P < 0.001). CSE‐MRI and DEXA measurements were strongly correlated (r = 0.98, P < 0.001). PDFF significantly increased in the liver (+1.35, P = 0.002 for CSE‐MRI, + 1.74, P = 0.002 for MRS). FA composition of SAT and VAT appeared to be consistent between localized‐MRS and CSE‐MRI (on whole segmented volume) measurements. A significant difference between SAT and VAT FA composition was found (P < 0.001 for CSE‐MRI, P = 0.001 for MRS). MRS and CSE‐MRI measurements of the FA composition were correlated with the GC‐MS results (for ndb: rMRS/GC‐MS = 0.83 P < 0.001, rCSE‐MRI/GC‐MS = 0.84, P = 0.001; for nmidb: rMRS/GC‐MS = 0.74, P = 0.006, rCSE‐MRI/GC‐MS = 0.66, P = 0.020)
Data Conclusion
The follow‐up of liver PDFF, volume, and FA composition of AT during an overfeeding diet was demonstrated through different methods. The CSE‐MRI sequence associated with a dedicated postprocessing was found reliable for such quantification.
Level of Evidence: 1
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2019;49:1587–1599.</description><identifier>ISSN: 1053-1807</identifier><identifier>EISSN: 1522-2586</identifier><identifier>DOI: 10.1002/jmri.26532</identifier><identifier>PMID: 30328237</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Adipose tissue ; Bioengineering ; Body weight ; Chemical equilibrium ; chemical shift‐encoded imaging ; Coding ; Composition ; Correlation analysis ; Correlation coefficient ; Correlation coefficients ; Dual energy X-ray absorptiometry ; Endocrinology and metabolism ; fatty acid composition ; Fatty acids ; Field strength ; Gas chromatography ; gas chromatography‐mass spectrometry ; Human health and pathology ; Imaging ; in vivo ; Life Sciences ; Liver ; Magnetic resonance imaging ; Magnetic resonance spectroscopy ; Mass spectrometry ; Mass spectroscopy ; MR spectroscopy ; Organic chemistry ; overfeeding ; Overweight ; Proton density (concentration) ; Statistical analysis ; Statistical methods ; Statistical tests ; Steam ; Vertebrae</subject><ispartof>Journal of magnetic resonance imaging, 2019-06, Vol.49 (6), p.1587-1599</ispartof><rights>2018 International Society for Magnetic Resonance in Medicine</rights><rights>2018 International Society for Magnetic Resonance in Medicine.</rights><rights>2019 International Society for Magnetic Resonance in Medicine</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4272-4d67eeb7907f94b33d81447dd749937b439ffc2b7f38c4bbdb0af477873524a03</citedby><cites>FETCH-LOGICAL-c4272-4d67eeb7907f94b33d81447dd749937b439ffc2b7f38c4bbdb0af477873524a03</cites><orcidid>0000-0002-4516-4565 ; 0000-0002-6273-9498 ; 0000-0002-4045-0503 ; 0000-0002-3408-4156 ; 0000-0002-0662-2172 ; 0000-0001-8853-854X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30328237$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-01917470$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Nemeth, Angeline</creatorcontrib><creatorcontrib>Segrestin, Bérénice</creatorcontrib><creatorcontrib>Leporq, Benjamin</creatorcontrib><creatorcontrib>Seyssel, Kevin</creatorcontrib><creatorcontrib>Faraz, Khuram</creatorcontrib><creatorcontrib>Sauvinet, Valérie</creatorcontrib><creatorcontrib>Disse, Emmanuel</creatorcontrib><creatorcontrib>Valette, Pierre‐Jean</creatorcontrib><creatorcontrib>Laville, Martine</creatorcontrib><creatorcontrib>Ratiney, Hélène</creatorcontrib><creatorcontrib>Beuf, Olivier</creatorcontrib><title>3D Chemical Shift‐Encoded MRI for Volume and Composition Quantification of Abdominal Adipose Tissue During an Overfeeding Protocol in Healthy Volunteers</title><title>Journal of magnetic resonance imaging</title><addtitle>J Magn Reson Imaging</addtitle><description>Background
Overweight and obesity are major worldwide health concerns characterized by an abnormal accumulation of fat in adipose tissue (AT) and liver.
Purpose
To evaluate the volume and the fatty acid (FA) composition of the subcutaneous adipose tissue (SAT) and the visceral adipose tissue (VAT) and the fat content in the liver from 3D chemical‐shift‐encoded (CSE)‐MRI acquisition, before and after a 31‐day overfeeding protocol.
Study Type
Prospective and longitudinal study.
Subjects
Twenty‐one nonobese healthy male volunteers.
Field Strength/Sequence
A 3D spoiled‐gradient multiple echo sequence and STEAM sequence were performed at 3T.
Assessment
AT volume was automatically segmented on CSE‐MRI between L2 to L4 lumbar vertebrae and compared to the dual‐energy X‐ray absorptiometry (DEXA) measurement. CSE‐MRI and MR spectroscopy (MRS) data were analyzed to assess the proton density fat fraction (PDFF) in the liver and the FA composition in SAT and VAT. Gas chromatography‐mass spectrometry (GC‐MS) analyses were performed on 13 SAT samples as a FA composition countermeasure.
Statistical Tests
Paired t‐test, Pearson's correlation coefficient, and Bland–Altman plots were used to compare measurements.
Results
SAT and VAT volumes significantly increased (P < 0.001). CSE‐MRI and DEXA measurements were strongly correlated (r = 0.98, P < 0.001). PDFF significantly increased in the liver (+1.35, P = 0.002 for CSE‐MRI, + 1.74, P = 0.002 for MRS). FA composition of SAT and VAT appeared to be consistent between localized‐MRS and CSE‐MRI (on whole segmented volume) measurements. A significant difference between SAT and VAT FA composition was found (P < 0.001 for CSE‐MRI, P = 0.001 for MRS). MRS and CSE‐MRI measurements of the FA composition were correlated with the GC‐MS results (for ndb: rMRS/GC‐MS = 0.83 P < 0.001, rCSE‐MRI/GC‐MS = 0.84, P = 0.001; for nmidb: rMRS/GC‐MS = 0.74, P = 0.006, rCSE‐MRI/GC‐MS = 0.66, P = 0.020)
Data Conclusion
The follow‐up of liver PDFF, volume, and FA composition of AT during an overfeeding diet was demonstrated through different methods. The CSE‐MRI sequence associated with a dedicated postprocessing was found reliable for such quantification.
Level of Evidence: 1
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2019;49:1587–1599.</description><subject>Adipose tissue</subject><subject>Bioengineering</subject><subject>Body weight</subject><subject>Chemical equilibrium</subject><subject>chemical shift‐encoded imaging</subject><subject>Coding</subject><subject>Composition</subject><subject>Correlation analysis</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Dual energy X-ray absorptiometry</subject><subject>Endocrinology and metabolism</subject><subject>fatty acid composition</subject><subject>Fatty acids</subject><subject>Field strength</subject><subject>Gas chromatography</subject><subject>gas chromatography‐mass spectrometry</subject><subject>Human health and pathology</subject><subject>Imaging</subject><subject>in vivo</subject><subject>Life Sciences</subject><subject>Liver</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic resonance spectroscopy</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>MR spectroscopy</subject><subject>Organic chemistry</subject><subject>overfeeding</subject><subject>Overweight</subject><subject>Proton density (concentration)</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Statistical tests</subject><subject>Steam</subject><subject>Vertebrae</subject><issn>1053-1807</issn><issn>1522-2586</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp90ctu1DAYBeAIgWgpbHgAZIkNIKX4lnG8HE0LUzSoXApby4l_Mx458dROimbHI7Dm8XgSPJPSBQtWvujzseVTFE8JPiUY09ebLrpTOqsYvVcck4rSklb17H6e44qVpMbiqHiU0gZjLCWvHhZHDDNaUyaOi1_sDC3W0LlWe_R57ezw-8fP874NBgx6_-kC2RDR1-DHDpDuDVqEbhuSG1zo0cdR94Oz-ehhGSyaNyZ0rs9Rc-OyA3TlUhoBnY3R9d9yArq8gWgBzH75IYYhtMEj16MlaD-sd4e7-gEgpsfFA6t9gie340nx5c351WJZri7fXizmq7LlVNCSm5kAaITEwkreMGZqwrkwRnApmWg4k9a2tBGW1S1vGtNgbbkQtWAV5Rqzk-LllLvWXm2j63TcqaCdWs5Xar-HiSSCC3xDsn0x2W0M1yOkQXUuteC97iGMSVFCCZdshutMn_9DN2GM-W-yohRXouKEZ_VqUm0MKUWwdy8gWO3bVft21aHdjJ_dRo5NB-aO_q0zAzKB787D7j9R6l3udgr9AzUXsCI</recordid><startdate>201906</startdate><enddate>201906</enddate><creator>Nemeth, Angeline</creator><creator>Segrestin, Bérénice</creator><creator>Leporq, Benjamin</creator><creator>Seyssel, Kevin</creator><creator>Faraz, Khuram</creator><creator>Sauvinet, Valérie</creator><creator>Disse, Emmanuel</creator><creator>Valette, Pierre‐Jean</creator><creator>Laville, Martine</creator><creator>Ratiney, Hélène</creator><creator>Beuf, Olivier</creator><general>Wiley Subscription Services, Inc</general><general>Wiley-Blackwell</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>P64</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-4516-4565</orcidid><orcidid>https://orcid.org/0000-0002-6273-9498</orcidid><orcidid>https://orcid.org/0000-0002-4045-0503</orcidid><orcidid>https://orcid.org/0000-0002-3408-4156</orcidid><orcidid>https://orcid.org/0000-0002-0662-2172</orcidid><orcidid>https://orcid.org/0000-0001-8853-854X</orcidid></search><sort><creationdate>201906</creationdate><title>3D Chemical Shift‐Encoded MRI for Volume and Composition Quantification of Abdominal Adipose Tissue During an Overfeeding Protocol in Healthy Volunteers</title><author>Nemeth, Angeline ; Segrestin, Bérénice ; Leporq, Benjamin ; Seyssel, Kevin ; Faraz, Khuram ; Sauvinet, Valérie ; Disse, Emmanuel ; Valette, Pierre‐Jean ; Laville, Martine ; Ratiney, Hélène ; Beuf, Olivier</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4272-4d67eeb7907f94b33d81447dd749937b439ffc2b7f38c4bbdb0af477873524a03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adipose tissue</topic><topic>Bioengineering</topic><topic>Body weight</topic><topic>Chemical equilibrium</topic><topic>chemical shift‐encoded imaging</topic><topic>Coding</topic><topic>Composition</topic><topic>Correlation analysis</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Dual energy X-ray absorptiometry</topic><topic>Endocrinology and metabolism</topic><topic>fatty acid composition</topic><topic>Fatty acids</topic><topic>Field strength</topic><topic>Gas chromatography</topic><topic>gas chromatography‐mass spectrometry</topic><topic>Human health and pathology</topic><topic>Imaging</topic><topic>in vivo</topic><topic>Life Sciences</topic><topic>Liver</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic resonance spectroscopy</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>MR spectroscopy</topic><topic>Organic chemistry</topic><topic>overfeeding</topic><topic>Overweight</topic><topic>Proton density (concentration)</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Statistical tests</topic><topic>Steam</topic><topic>Vertebrae</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nemeth, Angeline</creatorcontrib><creatorcontrib>Segrestin, Bérénice</creatorcontrib><creatorcontrib>Leporq, Benjamin</creatorcontrib><creatorcontrib>Seyssel, Kevin</creatorcontrib><creatorcontrib>Faraz, Khuram</creatorcontrib><creatorcontrib>Sauvinet, Valérie</creatorcontrib><creatorcontrib>Disse, Emmanuel</creatorcontrib><creatorcontrib>Valette, Pierre‐Jean</creatorcontrib><creatorcontrib>Laville, Martine</creatorcontrib><creatorcontrib>Ratiney, Hélène</creatorcontrib><creatorcontrib>Beuf, Olivier</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Journal of magnetic resonance imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nemeth, Angeline</au><au>Segrestin, Bérénice</au><au>Leporq, Benjamin</au><au>Seyssel, Kevin</au><au>Faraz, Khuram</au><au>Sauvinet, Valérie</au><au>Disse, Emmanuel</au><au>Valette, Pierre‐Jean</au><au>Laville, Martine</au><au>Ratiney, Hélène</au><au>Beuf, Olivier</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>3D Chemical Shift‐Encoded MRI for Volume and Composition Quantification of Abdominal Adipose Tissue During an Overfeeding Protocol in Healthy Volunteers</atitle><jtitle>Journal of magnetic resonance imaging</jtitle><addtitle>J Magn Reson Imaging</addtitle><date>2019-06</date><risdate>2019</risdate><volume>49</volume><issue>6</issue><spage>1587</spage><epage>1599</epage><pages>1587-1599</pages><issn>1053-1807</issn><eissn>1522-2586</eissn><abstract>Background
Overweight and obesity are major worldwide health concerns characterized by an abnormal accumulation of fat in adipose tissue (AT) and liver.
Purpose
To evaluate the volume and the fatty acid (FA) composition of the subcutaneous adipose tissue (SAT) and the visceral adipose tissue (VAT) and the fat content in the liver from 3D chemical‐shift‐encoded (CSE)‐MRI acquisition, before and after a 31‐day overfeeding protocol.
Study Type
Prospective and longitudinal study.
Subjects
Twenty‐one nonobese healthy male volunteers.
Field Strength/Sequence
A 3D spoiled‐gradient multiple echo sequence and STEAM sequence were performed at 3T.
Assessment
AT volume was automatically segmented on CSE‐MRI between L2 to L4 lumbar vertebrae and compared to the dual‐energy X‐ray absorptiometry (DEXA) measurement. CSE‐MRI and MR spectroscopy (MRS) data were analyzed to assess the proton density fat fraction (PDFF) in the liver and the FA composition in SAT and VAT. Gas chromatography‐mass spectrometry (GC‐MS) analyses were performed on 13 SAT samples as a FA composition countermeasure.
Statistical Tests
Paired t‐test, Pearson's correlation coefficient, and Bland–Altman plots were used to compare measurements.
Results
SAT and VAT volumes significantly increased (P < 0.001). CSE‐MRI and DEXA measurements were strongly correlated (r = 0.98, P < 0.001). PDFF significantly increased in the liver (+1.35, P = 0.002 for CSE‐MRI, + 1.74, P = 0.002 for MRS). FA composition of SAT and VAT appeared to be consistent between localized‐MRS and CSE‐MRI (on whole segmented volume) measurements. A significant difference between SAT and VAT FA composition was found (P < 0.001 for CSE‐MRI, P = 0.001 for MRS). MRS and CSE‐MRI measurements of the FA composition were correlated with the GC‐MS results (for ndb: rMRS/GC‐MS = 0.83 P < 0.001, rCSE‐MRI/GC‐MS = 0.84, P = 0.001; for nmidb: rMRS/GC‐MS = 0.74, P = 0.006, rCSE‐MRI/GC‐MS = 0.66, P = 0.020)
Data Conclusion
The follow‐up of liver PDFF, volume, and FA composition of AT during an overfeeding diet was demonstrated through different methods. The CSE‐MRI sequence associated with a dedicated postprocessing was found reliable for such quantification.
Level of Evidence: 1
Technical Efficacy: Stage 2
J. Magn. Reson. Imaging 2019;49:1587–1599.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>30328237</pmid><doi>10.1002/jmri.26532</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-4516-4565</orcidid><orcidid>https://orcid.org/0000-0002-6273-9498</orcidid><orcidid>https://orcid.org/0000-0002-4045-0503</orcidid><orcidid>https://orcid.org/0000-0002-3408-4156</orcidid><orcidid>https://orcid.org/0000-0002-0662-2172</orcidid><orcidid>https://orcid.org/0000-0001-8853-854X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adipose tissue Bioengineering Body weight Chemical equilibrium chemical shift‐encoded imaging Coding Composition Correlation analysis Correlation coefficient Correlation coefficients Dual energy X-ray absorptiometry Endocrinology and metabolism fatty acid composition Fatty acids Field strength Gas chromatography gas chromatography‐mass spectrometry Human health and pathology Imaging in vivo Life Sciences Liver Magnetic resonance imaging Magnetic resonance spectroscopy Mass spectrometry Mass spectroscopy MR spectroscopy Organic chemistry overfeeding Overweight Proton density (concentration) Statistical analysis Statistical methods Statistical tests Steam Vertebrae |
title | 3D Chemical Shift‐Encoded MRI for Volume and Composition Quantification of Abdominal Adipose Tissue During an Overfeeding Protocol in Healthy Volunteers |
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