Body composition analysis using CT and MRI: intra-individual intermodal comparison of muscle mass and myosteatosis
Computed tomography (CT) and magnetic resonance imaging (MRI) can quantify muscle mass and quality. However, it is still unclear if CT and MRI derived measurements can be used interchangeable. In this prospective study, fifty consecutive participants of a cancer screening program underwent same day...
Gespeichert in:
| Veröffentlicht in: | Scientific reports 2020-07, Vol.10 (1), p.11765-11765, Article 11765 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 11765 |
|---|---|
| container_issue | 1 |
| container_start_page | 11765 |
| container_title | Scientific reports |
| container_volume | 10 |
| creator | Faron, Anton Sprinkart, Alois M. Kuetting, Daniel L. R. Feisst, Andreas Isaak, Alexander Endler, Christoph Chang, Johannes Nowak, Sebastian Block, Wolfgang Thomas, Daniel Attenberger, Ulrike Luetkens, Julian A. |
| description | Computed tomography (CT) and magnetic resonance imaging (MRI) can quantify muscle mass and quality. However, it is still unclear if CT and MRI derived measurements can be used interchangeable. In this prospective study, fifty consecutive participants of a cancer screening program underwent same day low-dose chest CT and MRI. Cross-sectional areas (CSA) of the paraspinal skeletal muscles were obtained. CT and MRI muscle fat infiltration (MFI) were assessed by mean radiodensity in Hounsfield units (HU) and proton density fat fraction (MRI
PDFF
), respectively. CSA and MFI were highly correlated between CT and MRI (CSA: r = 0.93, P |
| doi_str_mv | 10.1038/s41598-020-68797-3 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7367311</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2424342568</sourcerecordid><originalsourceid>FETCH-LOGICAL-c540t-2d83512595be5b03acc53a616ae31731c8b04035e98671f3bde642c1c0328b243</originalsourceid><addsrcrecordid>eNp9kU1v1DAQhi1ERau2f4ADisSFS6jtsR2bAxJd8VGpCAmVs-U43sVVEi-epNL-e7xN6dcBXzyaeeadsV9CXjP6nlHQZyiYNLqmnNZKN6ap4QU54lTImgPnLx_Fh-QU8ZqWI7kRzLwih8BVo7miRySfp25X-TRsE8YpprFyo-t3GLGaMY6banVVMl31_efFhyqOU3Z1HLt4E7vZ9ftEyEPqSriXcDliUUjrapjR96EaHOJt-7BLOAU3lSF4Qg7Wrsdwencfk19fPl-tvtWXP75erD5d1l4KOtW80yAZl0a2QbYUnPcSnGLKBWANMK9bKijIYLRq2BraLijBPfMUuG65gGPycdHdzu0QOh_22_d2m-Pg8s4mF-3Tyhh_2026sQ2oos-KwLs7gZz-zAEnO0T0oe_dGNKMlgsujDFM04K-fYZepzmXn1woEFwqXSi-UD4nxBzW98swaveu2sVVW1y1t65aKE1vHj_jvuWfhwWABcBSGjchP8z-j-xfIFuubA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2424342568</pqid></control><display><type>article</type><title>Body composition analysis using CT and MRI: intra-individual intermodal comparison of muscle mass and myosteatosis</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Springer Nature OA Free Journals</source><source>Nature Free</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Faron, Anton ; Sprinkart, Alois M. ; Kuetting, Daniel L. R. ; Feisst, Andreas ; Isaak, Alexander ; Endler, Christoph ; Chang, Johannes ; Nowak, Sebastian ; Block, Wolfgang ; Thomas, Daniel ; Attenberger, Ulrike ; Luetkens, Julian A.</creator><creatorcontrib>Faron, Anton ; Sprinkart, Alois M. ; Kuetting, Daniel L. R. ; Feisst, Andreas ; Isaak, Alexander ; Endler, Christoph ; Chang, Johannes ; Nowak, Sebastian ; Block, Wolfgang ; Thomas, Daniel ; Attenberger, Ulrike ; Luetkens, Julian A.</creatorcontrib><description>Computed tomography (CT) and magnetic resonance imaging (MRI) can quantify muscle mass and quality. However, it is still unclear if CT and MRI derived measurements can be used interchangeable. In this prospective study, fifty consecutive participants of a cancer screening program underwent same day low-dose chest CT and MRI. Cross-sectional areas (CSA) of the paraspinal skeletal muscles were obtained. CT and MRI muscle fat infiltration (MFI) were assessed by mean radiodensity in Hounsfield units (HU) and proton density fat fraction (MRI
PDFF
), respectively. CSA and MFI were highly correlated between CT and MRI (CSA: r = 0.93, P < 0.001; MFI: r = − 0.90, P < 0.001). Mean CSA was higher in CT compared to MRI (46.6cm
2
versus 43.0cm
2
; P = 0.05) without significance. Based on MRI
PDFF
, a linear regression model was established to directly estimate skeletal muscle fat content from CT. Bland–Altman plots showed a difference between measurements of − 0.5 cm
2
to 7.6 cm
2
and − 4.2% to 2.4% regarding measurements of CSA and MFI, respectively. In conclusion, the provided results indicate interchangeability of CT and MRI derived imaging biomarkers of skeletal muscle quantity and quality. Comparable to MRI
PDFF
, skeletal muscle fat content can be quantified from CT, which might have an impact of analyses in larger cohort studies, particularly in sarcopenia patients.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-020-68797-3</identifier><identifier>PMID: 32678260</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/53 ; 692/698/1671/1668 ; Adipose Tissue - diagnostic imaging ; Adipose Tissue - pathology ; Adiposity ; Aged ; Body Composition ; Cancer screening ; Computed tomography ; Female ; Humanities and Social Sciences ; Humans ; Magnetic Resonance Imaging ; Male ; Medical screening ; Middle Aged ; multidisciplinary ; Muscle, Skeletal - anatomy & histology ; Muscle, Skeletal - diagnostic imaging ; Muscle, Skeletal - pathology ; Muscles ; Musculoskeletal system ; Organ Size ; Sarcopenia ; Science ; Science (multidisciplinary) ; Skeletal muscle ; Tomography, X-Ray Computed</subject><ispartof>Scientific reports, 2020-07, Vol.10 (1), p.11765-11765, Article 11765</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-2d83512595be5b03acc53a616ae31731c8b04035e98671f3bde642c1c0328b243</citedby><cites>FETCH-LOGICAL-c540t-2d83512595be5b03acc53a616ae31731c8b04035e98671f3bde642c1c0328b243</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/PMC7367311/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367311/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,41120,42189,51576,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32678260$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Faron, Anton</creatorcontrib><creatorcontrib>Sprinkart, Alois M.</creatorcontrib><creatorcontrib>Kuetting, Daniel L. R.</creatorcontrib><creatorcontrib>Feisst, Andreas</creatorcontrib><creatorcontrib>Isaak, Alexander</creatorcontrib><creatorcontrib>Endler, Christoph</creatorcontrib><creatorcontrib>Chang, Johannes</creatorcontrib><creatorcontrib>Nowak, Sebastian</creatorcontrib><creatorcontrib>Block, Wolfgang</creatorcontrib><creatorcontrib>Thomas, Daniel</creatorcontrib><creatorcontrib>Attenberger, Ulrike</creatorcontrib><creatorcontrib>Luetkens, Julian A.</creatorcontrib><title>Body composition analysis using CT and MRI: intra-individual intermodal comparison of muscle mass and myosteatosis</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Computed tomography (CT) and magnetic resonance imaging (MRI) can quantify muscle mass and quality. However, it is still unclear if CT and MRI derived measurements can be used interchangeable. In this prospective study, fifty consecutive participants of a cancer screening program underwent same day low-dose chest CT and MRI. Cross-sectional areas (CSA) of the paraspinal skeletal muscles were obtained. CT and MRI muscle fat infiltration (MFI) were assessed by mean radiodensity in Hounsfield units (HU) and proton density fat fraction (MRI
PDFF
), respectively. CSA and MFI were highly correlated between CT and MRI (CSA: r = 0.93, P < 0.001; MFI: r = − 0.90, P < 0.001). Mean CSA was higher in CT compared to MRI (46.6cm
2
versus 43.0cm
2
; P = 0.05) without significance. Based on MRI
PDFF
, a linear regression model was established to directly estimate skeletal muscle fat content from CT. Bland–Altman plots showed a difference between measurements of − 0.5 cm
2
to 7.6 cm
2
and − 4.2% to 2.4% regarding measurements of CSA and MFI, respectively. In conclusion, the provided results indicate interchangeability of CT and MRI derived imaging biomarkers of skeletal muscle quantity and quality. Comparable to MRI
PDFF
, skeletal muscle fat content can be quantified from CT, which might have an impact of analyses in larger cohort studies, particularly in sarcopenia patients.</description><subject>692/53</subject><subject>692/698/1671/1668</subject><subject>Adipose Tissue - diagnostic imaging</subject><subject>Adipose Tissue - pathology</subject><subject>Adiposity</subject><subject>Aged</subject><subject>Body Composition</subject><subject>Cancer screening</subject><subject>Computed tomography</subject><subject>Female</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medical screening</subject><subject>Middle Aged</subject><subject>multidisciplinary</subject><subject>Muscle, Skeletal - anatomy & histology</subject><subject>Muscle, Skeletal - diagnostic imaging</subject><subject>Muscle, Skeletal - pathology</subject><subject>Muscles</subject><subject>Musculoskeletal system</subject><subject>Organ Size</subject><subject>Sarcopenia</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Skeletal muscle</subject><subject>Tomography, X-Ray Computed</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kU1v1DAQhi1ERau2f4ADisSFS6jtsR2bAxJd8VGpCAmVs-U43sVVEi-epNL-e7xN6dcBXzyaeeadsV9CXjP6nlHQZyiYNLqmnNZKN6ap4QU54lTImgPnLx_Fh-QU8ZqWI7kRzLwih8BVo7miRySfp25X-TRsE8YpprFyo-t3GLGaMY6banVVMl31_efFhyqOU3Z1HLt4E7vZ9ftEyEPqSriXcDliUUjrapjR96EaHOJt-7BLOAU3lSF4Qg7Wrsdwencfk19fPl-tvtWXP75erD5d1l4KOtW80yAZl0a2QbYUnPcSnGLKBWANMK9bKijIYLRq2BraLijBPfMUuG65gGPycdHdzu0QOh_22_d2m-Pg8s4mF-3Tyhh_2026sQ2oos-KwLs7gZz-zAEnO0T0oe_dGNKMlgsujDFM04K-fYZepzmXn1woEFwqXSi-UD4nxBzW98swaveu2sVVW1y1t65aKE1vHj_jvuWfhwWABcBSGjchP8z-j-xfIFuubA</recordid><startdate>20200716</startdate><enddate>20200716</enddate><creator>Faron, Anton</creator><creator>Sprinkart, Alois M.</creator><creator>Kuetting, Daniel L. R.</creator><creator>Feisst, Andreas</creator><creator>Isaak, Alexander</creator><creator>Endler, Christoph</creator><creator>Chang, Johannes</creator><creator>Nowak, Sebastian</creator><creator>Block, Wolfgang</creator><creator>Thomas, Daniel</creator><creator>Attenberger, Ulrike</creator><creator>Luetkens, Julian A.</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200716</creationdate><title>Body composition analysis using CT and MRI: intra-individual intermodal comparison of muscle mass and myosteatosis</title><author>Faron, Anton ; Sprinkart, Alois M. ; Kuetting, Daniel L. R. ; Feisst, Andreas ; Isaak, Alexander ; Endler, Christoph ; Chang, Johannes ; Nowak, Sebastian ; Block, Wolfgang ; Thomas, Daniel ; Attenberger, Ulrike ; Luetkens, Julian A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-2d83512595be5b03acc53a616ae31731c8b04035e98671f3bde642c1c0328b243</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>692/53</topic><topic>692/698/1671/1668</topic><topic>Adipose Tissue - diagnostic imaging</topic><topic>Adipose Tissue - pathology</topic><topic>Adiposity</topic><topic>Aged</topic><topic>Body Composition</topic><topic>Cancer screening</topic><topic>Computed tomography</topic><topic>Female</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging</topic><topic>Male</topic><topic>Medical screening</topic><topic>Middle Aged</topic><topic>multidisciplinary</topic><topic>Muscle, Skeletal - anatomy & histology</topic><topic>Muscle, Skeletal - diagnostic imaging</topic><topic>Muscle, Skeletal - pathology</topic><topic>Muscles</topic><topic>Musculoskeletal system</topic><topic>Organ Size</topic><topic>Sarcopenia</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Skeletal muscle</topic><topic>Tomography, X-Ray Computed</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Faron, Anton</creatorcontrib><creatorcontrib>Sprinkart, Alois M.</creatorcontrib><creatorcontrib>Kuetting, Daniel L. R.</creatorcontrib><creatorcontrib>Feisst, Andreas</creatorcontrib><creatorcontrib>Isaak, Alexander</creatorcontrib><creatorcontrib>Endler, Christoph</creatorcontrib><creatorcontrib>Chang, Johannes</creatorcontrib><creatorcontrib>Nowak, Sebastian</creatorcontrib><creatorcontrib>Block, Wolfgang</creatorcontrib><creatorcontrib>Thomas, Daniel</creatorcontrib><creatorcontrib>Attenberger, Ulrike</creatorcontrib><creatorcontrib>Luetkens, Julian A.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech 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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Faron, Anton</au><au>Sprinkart, Alois M.</au><au>Kuetting, Daniel L. R.</au><au>Feisst, Andreas</au><au>Isaak, Alexander</au><au>Endler, Christoph</au><au>Chang, Johannes</au><au>Nowak, Sebastian</au><au>Block, Wolfgang</au><au>Thomas, Daniel</au><au>Attenberger, Ulrike</au><au>Luetkens, Julian A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Body composition analysis using CT and MRI: intra-individual intermodal comparison of muscle mass and myosteatosis</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2020-07-16</date><risdate>2020</risdate><volume>10</volume><issue>1</issue><spage>11765</spage><epage>11765</epage><pages>11765-11765</pages><artnum>11765</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Computed tomography (CT) and magnetic resonance imaging (MRI) can quantify muscle mass and quality. However, it is still unclear if CT and MRI derived measurements can be used interchangeable. In this prospective study, fifty consecutive participants of a cancer screening program underwent same day low-dose chest CT and MRI. Cross-sectional areas (CSA) of the paraspinal skeletal muscles were obtained. CT and MRI muscle fat infiltration (MFI) were assessed by mean radiodensity in Hounsfield units (HU) and proton density fat fraction (MRI
PDFF
), respectively. CSA and MFI were highly correlated between CT and MRI (CSA: r = 0.93, P < 0.001; MFI: r = − 0.90, P < 0.001). Mean CSA was higher in CT compared to MRI (46.6cm
2
versus 43.0cm
2
; P = 0.05) without significance. Based on MRI
PDFF
, a linear regression model was established to directly estimate skeletal muscle fat content from CT. Bland–Altman plots showed a difference between measurements of − 0.5 cm
2
to 7.6 cm
2
and − 4.2% to 2.4% regarding measurements of CSA and MFI, respectively. In conclusion, the provided results indicate interchangeability of CT and MRI derived imaging biomarkers of skeletal muscle quantity and quality. Comparable to MRI
PDFF
, skeletal muscle fat content can be quantified from CT, which might have an impact of analyses in larger cohort studies, particularly in sarcopenia patients.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32678260</pmid><doi>10.1038/s41598-020-68797-3</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2045-2322 |
| ispartof | Scientific reports, 2020-07, Vol.10 (1), p.11765-11765, Article 11765 |
| issn | 2045-2322 2045-2322 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7367311 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Springer Nature OA Free Journals; Nature Free; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | 692/53 692/698/1671/1668 Adipose Tissue - diagnostic imaging Adipose Tissue - pathology Adiposity Aged Body Composition Cancer screening Computed tomography Female Humanities and Social Sciences Humans Magnetic Resonance Imaging Male Medical screening Middle Aged multidisciplinary Muscle, Skeletal - anatomy & histology Muscle, Skeletal - diagnostic imaging Muscle, Skeletal - pathology Muscles Musculoskeletal system Organ Size Sarcopenia Science Science (multidisciplinary) Skeletal muscle Tomography, X-Ray Computed |
| title | Body composition analysis using CT and MRI: intra-individual intermodal comparison of muscle mass and myosteatosis |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T15%3A00%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Body%20composition%20analysis%20using%20CT%20and%20MRI:%20intra-individual%20intermodal%20comparison%20of%20muscle%20mass%20and%20myosteatosis&rft.jtitle=Scientific%20reports&rft.au=Faron,%20Anton&rft.date=2020-07-16&rft.volume=10&rft.issue=1&rft.spage=11765&rft.epage=11765&rft.pages=11765-11765&rft.artnum=11765&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/10.1038/s41598-020-68797-3&rft_dat=%3Cproquest_pubme%3E2424342568%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2424342568&rft_id=info:pmid/32678260&rfr_iscdi=true |