CT-based compartmental quantification of adipose tissue versus body metrics in colorectal cancer patients
Purpose While obesity is considered a prognostic factor in colorectal cancer (CRC), there is increasing evidence that not simply body mass index (BMI) alone but specifically abdominal fat distribution is what matters. As part of the ColoCare study, this study measured the distribution of adipose tis...
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| Veröffentlicht in: | European radiology 2016-11, Vol.26 (11), p.4131-4140 |
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| creator | Nattenmueller, Johanna Hoegenauer, Hanna Boehm, Juergen Scherer, Dominique Paskow, Michael Gigic, Biljana Schrotz-King, Petra Grenacher, Lars Ulrich, Cornelia Kauczor, Hans-Ulrich |
| description | Purpose
While obesity is considered a prognostic factor in colorectal cancer (CRC), there is increasing evidence that not simply body mass index (BMI) alone but specifically abdominal fat distribution is what matters. As part of the ColoCare study, this study measured the distribution of adipose tissue compartments in CRC patients and aimed to identify the body metric that best correlates with these measurements as a useful proxy for adipose tissue distribution.
Materials and methods
In 120 newly-diagnosed CRC patients who underwent multidetector computed tomography (CT), densitometric quantification of total (TFA), visceral (VFA), intraperitoneal (IFA), retroperitoneal (RFA), and subcutaneous fat area (SFA), as well as the M. erector spinae and psoas was performed to test the association with gender, age, tumor stage, metabolic equivalents, BMI, waist-to-height (WHtR) and waist–to-hip ratio (WHR).
Results
VFA was 28.8 % higher in men (p
VFA |
| doi_str_mv | 10.1007/s00330-016-4231-8 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5587125</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1826652990</sourcerecordid><originalsourceid>FETCH-LOGICAL-c569t-b02522faa4fc825aae30d3aba4a5130214453c4c4e2124ea2aad7fc89f014b8e3</originalsourceid><addsrcrecordid>eNqFkc1u1TAQRi0EopfCA7BBltiwCYz_EmeDhK6gIFViU9bWxJkUV0mc2kmlvj2-3LYqSIiVF3PmzIw_xl4LeC8Amg8ZQCmoQNSVlkpU9gnbCa1kJcDqp2wHrbJV07b6hL3I-QoAWqGb5-xE1tZIKcyOhf1F1WGmnvs4LZjWieYVR3694byGIXhcQ5x5HDj2YYmZ-Bpy3ojfUMpb5l3sb_lEawo-8zAXyxgT-YPC4-wp8aUYijO_ZM8GHDO9untP2Y8vny_2X6vz72ff9p_OK2_qdq06kGW1AVEP3kqDSAp6hR1qNEKBFFob5bXXJIXUhBKxbwraDiB0Z0mdso9H77J1E_W-zE44uiWFCdOtixjcn5U5_HSX8cYZYxshTRG8uxOkeL1RXt0UsqdxxJnilp2wqlHaNGWd_6Oyro1sWyjo27_Qq7ilufzEbwpsK-AwWxwpn2LOiYaHvQW4Q-bumLkrmbtD5s6WnjePD37ouA-5APII5FKaLyk9Gv1P6y8C07kT</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1826089105</pqid></control><display><type>article</type><title>CT-based compartmental quantification of adipose tissue versus body metrics in colorectal cancer patients</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Nattenmueller, Johanna ; Hoegenauer, Hanna ; Boehm, Juergen ; Scherer, Dominique ; Paskow, Michael ; Gigic, Biljana ; Schrotz-King, Petra ; Grenacher, Lars ; Ulrich, Cornelia ; Kauczor, Hans-Ulrich</creator><creatorcontrib>Nattenmueller, Johanna ; Hoegenauer, Hanna ; Boehm, Juergen ; Scherer, Dominique ; Paskow, Michael ; Gigic, Biljana ; Schrotz-King, Petra ; Grenacher, Lars ; Ulrich, Cornelia ; Kauczor, Hans-Ulrich</creatorcontrib><description>Purpose
While obesity is considered a prognostic factor in colorectal cancer (CRC), there is increasing evidence that not simply body mass index (BMI) alone but specifically abdominal fat distribution is what matters. As part of the ColoCare study, this study measured the distribution of adipose tissue compartments in CRC patients and aimed to identify the body metric that best correlates with these measurements as a useful proxy for adipose tissue distribution.
Materials and methods
In 120 newly-diagnosed CRC patients who underwent multidetector computed tomography (CT), densitometric quantification of total (TFA), visceral (VFA), intraperitoneal (IFA), retroperitoneal (RFA), and subcutaneous fat area (SFA), as well as the M. erector spinae and psoas was performed to test the association with gender, age, tumor stage, metabolic equivalents, BMI, waist-to-height (WHtR) and waist–to-hip ratio (WHR).
Results
VFA was 28.8 % higher in men (p
VFA
<0.0001) and 30.5 % higher in patients older than 61 years (p
VFA
<0.0001). WHtR correlated best with all adipose tissue compartments (r
VFA
=0.69, r
TFA
=0.84, p<0.0001) and visceral-to-subcutaneous-fat-ratio (VFR, r
VFR
=0.22, p=<0.05). Patients with tumor stages III/IV showed significantly lower overall adipose tissue than I/II. Increased M. erector spinae mass was inversely correlated with all compartments.
Conclusion
Densitometric quantification on CT is a highly reproducible and reliable method to show fat distribution across adipose tissue compartments. This distribution might be best reflected by WHtR, rather than by BMI or WHR.
Key Points
•
Densitometric quantification of adipose tissue on CT is highly reproducible and reliable.
•
Waist-to-height ratio better correlates with adipose tissue compartments and VFR than BMI or waist-to-hip ratio.
•
Men have higher a higher visceral fat area than women.
•
Patients older than 61 years have higher visceral fat area.
•
Patients with tumor stages III/IV have significantly lower adipose tissue than those in stages I/II.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-016-4231-8</identifier><identifier>PMID: 26852215</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Abdomen ; Abdominal Fat - diagnostic imaging ; Adipose Tissue - diagnostic imaging ; Adipose Tissue - metabolism ; Adult ; Aged ; Body fat ; Body Mass Index ; Colorectal cancer ; Colorectal Neoplasms - diagnostic imaging ; Diagnostic Radiology ; Female ; Humans ; Imaging ; Internal Medicine ; Interventional Radiology ; Intra-Abdominal Fat - diagnostic imaging ; Male ; Medical prognosis ; Medicine ; Medicine & Public Health ; Metabolism ; Middle Aged ; Mortality ; Multidetector Computed Tomography - methods ; Neuroradiology ; Obesity ; Obesity - diagnostic imaging ; Oncology ; Overweight ; Radiology ; Subcutaneous Fat - diagnostic imaging ; Surgery ; Tomography ; Tomography, X-Ray Computed ; Ultrasound ; Waist-Hip Ratio</subject><ispartof>European radiology, 2016-11, Vol.26 (11), p.4131-4140</ispartof><rights>European Society of Radiology 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c569t-b02522faa4fc825aae30d3aba4a5130214453c4c4e2124ea2aad7fc89f014b8e3</citedby><cites>FETCH-LOGICAL-c569t-b02522faa4fc825aae30d3aba4a5130214453c4c4e2124ea2aad7fc89f014b8e3</cites><orcidid>0000-0003-4032-378X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00330-016-4231-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-016-4231-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26852215$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nattenmueller, Johanna</creatorcontrib><creatorcontrib>Hoegenauer, Hanna</creatorcontrib><creatorcontrib>Boehm, Juergen</creatorcontrib><creatorcontrib>Scherer, Dominique</creatorcontrib><creatorcontrib>Paskow, Michael</creatorcontrib><creatorcontrib>Gigic, Biljana</creatorcontrib><creatorcontrib>Schrotz-King, Petra</creatorcontrib><creatorcontrib>Grenacher, Lars</creatorcontrib><creatorcontrib>Ulrich, Cornelia</creatorcontrib><creatorcontrib>Kauczor, Hans-Ulrich</creatorcontrib><title>CT-based compartmental quantification of adipose tissue versus body metrics in colorectal cancer patients</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Purpose
While obesity is considered a prognostic factor in colorectal cancer (CRC), there is increasing evidence that not simply body mass index (BMI) alone but specifically abdominal fat distribution is what matters. As part of the ColoCare study, this study measured the distribution of adipose tissue compartments in CRC patients and aimed to identify the body metric that best correlates with these measurements as a useful proxy for adipose tissue distribution.
Materials and methods
In 120 newly-diagnosed CRC patients who underwent multidetector computed tomography (CT), densitometric quantification of total (TFA), visceral (VFA), intraperitoneal (IFA), retroperitoneal (RFA), and subcutaneous fat area (SFA), as well as the M. erector spinae and psoas was performed to test the association with gender, age, tumor stage, metabolic equivalents, BMI, waist-to-height (WHtR) and waist–to-hip ratio (WHR).
Results
VFA was 28.8 % higher in men (p
VFA
<0.0001) and 30.5 % higher in patients older than 61 years (p
VFA
<0.0001). WHtR correlated best with all adipose tissue compartments (r
VFA
=0.69, r
TFA
=0.84, p<0.0001) and visceral-to-subcutaneous-fat-ratio (VFR, r
VFR
=0.22, p=<0.05). Patients with tumor stages III/IV showed significantly lower overall adipose tissue than I/II. Increased M. erector spinae mass was inversely correlated with all compartments.
Conclusion
Densitometric quantification on CT is a highly reproducible and reliable method to show fat distribution across adipose tissue compartments. This distribution might be best reflected by WHtR, rather than by BMI or WHR.
Key Points
•
Densitometric quantification of adipose tissue on CT is highly reproducible and reliable.
•
Waist-to-height ratio better correlates with adipose tissue compartments and VFR than BMI or waist-to-hip ratio.
•
Men have higher a higher visceral fat area than women.
•
Patients older than 61 years have higher visceral fat area.
•
Patients with tumor stages III/IV have significantly lower adipose tissue than those in stages I/II.</description><subject>Abdomen</subject><subject>Abdominal Fat - diagnostic imaging</subject><subject>Adipose Tissue - diagnostic imaging</subject><subject>Adipose Tissue - metabolism</subject><subject>Adult</subject><subject>Aged</subject><subject>Body fat</subject><subject>Body Mass Index</subject><subject>Colorectal cancer</subject><subject>Colorectal Neoplasms - diagnostic imaging</subject><subject>Diagnostic Radiology</subject><subject>Female</subject><subject>Humans</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Intra-Abdominal Fat - diagnostic imaging</subject><subject>Male</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>Multidetector Computed Tomography - methods</subject><subject>Neuroradiology</subject><subject>Obesity</subject><subject>Obesity - diagnostic imaging</subject><subject>Oncology</subject><subject>Overweight</subject><subject>Radiology</subject><subject>Subcutaneous Fat - diagnostic imaging</subject><subject>Surgery</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed</subject><subject>Ultrasound</subject><subject>Waist-Hip Ratio</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkc1u1TAQRi0EopfCA7BBltiwCYz_EmeDhK6gIFViU9bWxJkUV0mc2kmlvj2-3LYqSIiVF3PmzIw_xl4LeC8Amg8ZQCmoQNSVlkpU9gnbCa1kJcDqp2wHrbJV07b6hL3I-QoAWqGb5-xE1tZIKcyOhf1F1WGmnvs4LZjWieYVR3694byGIXhcQ5x5HDj2YYmZ-Bpy3ojfUMpb5l3sb_lEawo-8zAXyxgT-YPC4-wp8aUYijO_ZM8GHDO9untP2Y8vny_2X6vz72ff9p_OK2_qdq06kGW1AVEP3kqDSAp6hR1qNEKBFFob5bXXJIXUhBKxbwraDiB0Z0mdso9H77J1E_W-zE44uiWFCdOtixjcn5U5_HSX8cYZYxshTRG8uxOkeL1RXt0UsqdxxJnilp2wqlHaNGWd_6Oyro1sWyjo27_Qq7ilufzEbwpsK-AwWxwpn2LOiYaHvQW4Q-bumLkrmbtD5s6WnjePD37ouA-5APII5FKaLyk9Gv1P6y8C07kT</recordid><startdate>20161101</startdate><enddate>20161101</enddate><creator>Nattenmueller, Johanna</creator><creator>Hoegenauer, Hanna</creator><creator>Boehm, Juergen</creator><creator>Scherer, Dominique</creator><creator>Paskow, Michael</creator><creator>Gigic, Biljana</creator><creator>Schrotz-King, Petra</creator><creator>Grenacher, Lars</creator><creator>Ulrich, Cornelia</creator><creator>Kauczor, Hans-Ulrich</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4032-378X</orcidid></search><sort><creationdate>20161101</creationdate><title>CT-based compartmental quantification of adipose tissue versus body metrics in colorectal cancer patients</title><author>Nattenmueller, Johanna ; Hoegenauer, Hanna ; Boehm, Juergen ; Scherer, Dominique ; Paskow, Michael ; Gigic, Biljana ; Schrotz-King, Petra ; Grenacher, Lars ; Ulrich, Cornelia ; Kauczor, Hans-Ulrich</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c569t-b02522faa4fc825aae30d3aba4a5130214453c4c4e2124ea2aad7fc89f014b8e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Abdomen</topic><topic>Abdominal Fat - diagnostic imaging</topic><topic>Adipose Tissue - diagnostic imaging</topic><topic>Adipose Tissue - metabolism</topic><topic>Adult</topic><topic>Aged</topic><topic>Body fat</topic><topic>Body Mass Index</topic><topic>Colorectal cancer</topic><topic>Colorectal Neoplasms - diagnostic imaging</topic><topic>Diagnostic Radiology</topic><topic>Female</topic><topic>Humans</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Intra-Abdominal Fat - diagnostic imaging</topic><topic>Male</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>Multidetector Computed Tomography - methods</topic><topic>Neuroradiology</topic><topic>Obesity</topic><topic>Obesity - diagnostic imaging</topic><topic>Oncology</topic><topic>Overweight</topic><topic>Radiology</topic><topic>Subcutaneous Fat - diagnostic imaging</topic><topic>Surgery</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed</topic><topic>Ultrasound</topic><topic>Waist-Hip Ratio</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nattenmueller, Johanna</creatorcontrib><creatorcontrib>Hoegenauer, Hanna</creatorcontrib><creatorcontrib>Boehm, Juergen</creatorcontrib><creatorcontrib>Scherer, Dominique</creatorcontrib><creatorcontrib>Paskow, Michael</creatorcontrib><creatorcontrib>Gigic, Biljana</creatorcontrib><creatorcontrib>Schrotz-King, Petra</creatorcontrib><creatorcontrib>Grenacher, Lars</creatorcontrib><creatorcontrib>Ulrich, Cornelia</creatorcontrib><creatorcontrib>Kauczor, Hans-Ulrich</creatorcontrib><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>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</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>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>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace 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>ProQuest One Community College</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science 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>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nattenmueller, Johanna</au><au>Hoegenauer, Hanna</au><au>Boehm, Juergen</au><au>Scherer, Dominique</au><au>Paskow, Michael</au><au>Gigic, Biljana</au><au>Schrotz-King, Petra</au><au>Grenacher, Lars</au><au>Ulrich, Cornelia</au><au>Kauczor, Hans-Ulrich</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CT-based compartmental quantification of adipose tissue versus body metrics in colorectal cancer patients</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2016-11-01</date><risdate>2016</risdate><volume>26</volume><issue>11</issue><spage>4131</spage><epage>4140</epage><pages>4131-4140</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Purpose
While obesity is considered a prognostic factor in colorectal cancer (CRC), there is increasing evidence that not simply body mass index (BMI) alone but specifically abdominal fat distribution is what matters. As part of the ColoCare study, this study measured the distribution of adipose tissue compartments in CRC patients and aimed to identify the body metric that best correlates with these measurements as a useful proxy for adipose tissue distribution.
Materials and methods
In 120 newly-diagnosed CRC patients who underwent multidetector computed tomography (CT), densitometric quantification of total (TFA), visceral (VFA), intraperitoneal (IFA), retroperitoneal (RFA), and subcutaneous fat area (SFA), as well as the M. erector spinae and psoas was performed to test the association with gender, age, tumor stage, metabolic equivalents, BMI, waist-to-height (WHtR) and waist–to-hip ratio (WHR).
Results
VFA was 28.8 % higher in men (p
VFA
<0.0001) and 30.5 % higher in patients older than 61 years (p
VFA
<0.0001). WHtR correlated best with all adipose tissue compartments (r
VFA
=0.69, r
TFA
=0.84, p<0.0001) and visceral-to-subcutaneous-fat-ratio (VFR, r
VFR
=0.22, p=<0.05). Patients with tumor stages III/IV showed significantly lower overall adipose tissue than I/II. Increased M. erector spinae mass was inversely correlated with all compartments.
Conclusion
Densitometric quantification on CT is a highly reproducible and reliable method to show fat distribution across adipose tissue compartments. This distribution might be best reflected by WHtR, rather than by BMI or WHR.
Key Points
•
Densitometric quantification of adipose tissue on CT is highly reproducible and reliable.
•
Waist-to-height ratio better correlates with adipose tissue compartments and VFR than BMI or waist-to-hip ratio.
•
Men have higher a higher visceral fat area than women.
•
Patients older than 61 years have higher visceral fat area.
•
Patients with tumor stages III/IV have significantly lower adipose tissue than those in stages I/II.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>26852215</pmid><doi>10.1007/s00330-016-4231-8</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-4032-378X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0938-7994 |
| ispartof | European radiology, 2016-11, Vol.26 (11), p.4131-4140 |
| issn | 0938-7994 1432-1084 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5587125 |
| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Abdomen Abdominal Fat - diagnostic imaging Adipose Tissue - diagnostic imaging Adipose Tissue - metabolism Adult Aged Body fat Body Mass Index Colorectal cancer Colorectal Neoplasms - diagnostic imaging Diagnostic Radiology Female Humans Imaging Internal Medicine Interventional Radiology Intra-Abdominal Fat - diagnostic imaging Male Medical prognosis Medicine Medicine & Public Health Metabolism Middle Aged Mortality Multidetector Computed Tomography - methods Neuroradiology Obesity Obesity - diagnostic imaging Oncology Overweight Radiology Subcutaneous Fat - diagnostic imaging Surgery Tomography Tomography, X-Ray Computed Ultrasound Waist-Hip Ratio |
| title | CT-based compartmental quantification of adipose tissue versus body metrics in colorectal cancer patients |
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