Bone marrow fat fraction assessment in regard to physical activity: KORA FF4–3-T MR imaging in a population-based cohort
Objectives To establish the effect of different degrees and kinds of physical activity on bone marrow fat (BMAT) content at different anatomical locations in a population-based cohort study undergoing whole-body MR imaging. Methods Subjects of the KORA FF4 study without known cardiovascular disease...
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creator | Bertheau, Robert C. Lorbeer, Roberto Nattenmüller, Johanna Wintermeyer, Elke Machann, Jürgen Linkohr, Birgit Peters, Annette Bamberg, Fabian Schlett, Christopher L. |
description | Objectives
To establish the effect of different degrees and kinds of physical activity on bone marrow fat (BMAT) content at different anatomical locations in a population-based cohort study undergoing whole-body MR imaging.
Methods
Subjects of the KORA FF4 study without known cardiovascular disease underwent BMAT fat fraction (FF) quantification in L1 and L2 vertebrae and femoral heads/necks (hip) via a 2-point T1-weighted VIBE Dixon sequence. BMAT-FF was calculated as mean value (fat image) divided by mean value (fat + water image). Physical activity was determined by self-assessment questionnaire regarding time spent exercising, non-exercise walking, non-exercise cycling, and job-related physical activity.
Results
A total of 385 subjects (96% of 400 available; 56 ± 9.1 years; 58% male) were included in the analysis. Exercise was distributed quite evenly (29% > 2 h/week; 31% ~ 1 h/week (regularly); 15% ~ 1 h/week (irregularly); 26% no physical activity). BMAT-FF was 52.6 ± 10.2% in L1, 56.2 ± 10.3% in L2, 87.4 ± 5.9% in the right hip, and 87.2 ± 5.9% in the left hip (all
p
2 h/week (
p
≤ 0.02 vs.
p
≥ 0.35, respectively). These associations remained significant after adjusting for age, gender, waist circumference, and glucose tolerance. No coherent association was found between BMAT-FF and physical activity in the less active groups.
Conclusions
In our study, exercise was inversely correlated with vertebral BMAT-FF, but not hip BMAT-FF, when exercising for more than 2 h per week. Physical activity seems to affect the spine at least preferentially compared to the hip.
Key Points
• In our population-based cohort, at least 2 h of physical activity per week were required to show lower levels of bone marrow adipose tissue fat fraction in MRI.
• Physical activity seems to affect bone marrow adipose tissue at least preferentially at the spine in contrast to the proximal femur. |
doi_str_mv | 10.1007/s00330-019-06612-y |
format | Article |
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To establish the effect of different degrees and kinds of physical activity on bone marrow fat (BMAT) content at different anatomical locations in a population-based cohort study undergoing whole-body MR imaging.
Methods
Subjects of the KORA FF4 study without known cardiovascular disease underwent BMAT fat fraction (FF) quantification in L1 and L2 vertebrae and femoral heads/necks (hip) via a 2-point T1-weighted VIBE Dixon sequence. BMAT-FF was calculated as mean value (fat image) divided by mean value (fat + water image). Physical activity was determined by self-assessment questionnaire regarding time spent exercising, non-exercise walking, non-exercise cycling, and job-related physical activity.
Results
A total of 385 subjects (96% of 400 available; 56 ± 9.1 years; 58% male) were included in the analysis. Exercise was distributed quite evenly (29% > 2 h/week; 31% ~ 1 h/week (regularly); 15% ~ 1 h/week (irregularly); 26% no physical activity). BMAT-FF was 52.6 ± 10.2% in L1, 56.2 ± 10.3% in L2, 87.4 ± 5.9% in the right hip, and 87.2 ± 5.9% in the left hip (all
p
< 0.001). Correlation of BMAT-FF between spine and hip was only moderate (
r
0.42 to 0.46). Spinal BMAT-FF, but not hip BMAT-FF, was inversely associated with exercise > 2 h/week (
p
≤ 0.02 vs.
p
≥ 0.35, respectively). These associations remained significant after adjusting for age, gender, waist circumference, and glucose tolerance. No coherent association was found between BMAT-FF and physical activity in the less active groups.
Conclusions
In our study, exercise was inversely correlated with vertebral BMAT-FF, but not hip BMAT-FF, when exercising for more than 2 h per week. Physical activity seems to affect the spine at least preferentially compared to the hip.
Key Points
• In our population-based cohort, at least 2 h of physical activity per week were required to show lower levels of bone marrow adipose tissue fat fraction in MRI.
• Physical activity seems to affect bone marrow adipose tissue at least preferentially at the spine in contrast to the proximal femur.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-019-06612-y</identifier><identifier>PMID: 32086579</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adipose tissue ; Adipose Tissue - diagnostic imaging ; Aged ; Biomedical materials ; Bone marrow ; Bone Marrow - diagnostic imaging ; Cardiovascular diseases ; Cohort Studies ; Correlation analysis ; Diagnostic Radiology ; Exercise ; Female ; Femur ; Femur Head - diagnostic imaging ; Femur Neck - diagnostic imaging ; Glucose tolerance ; Health risk assessment ; Hip ; Humans ; Imaging ; Internal Medicine ; Interventional Radiology ; Life Sciences & Biomedicine ; Lumbar Vertebrae - diagnostic imaging ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medical imaging ; Medicine ; Medicine & Public Health ; Middle Aged ; Musculoskeletal ; Neuroradiology ; Physical activity ; Physical fitness ; Physical training ; Population studies ; Radiology ; Radiology, Nuclear Medicine & Medical Imaging ; Science & Technology ; Self-assessment ; Spine ; Ultrasound ; Vertebrae ; Walking ; Whole Body Imaging</subject><ispartof>European radiology, 2020-06, Vol.30 (6), p.3417-3428</ispartof><rights>European Society of Radiology 2019</rights><rights>European Society of Radiology 2019.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>21</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000516314700008</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c419t-43f0b2ef9ed09869cd0db57cdd222cd649b7b1da6fc87b89a6f5db8c662c09183</citedby><cites>FETCH-LOGICAL-c419t-43f0b2ef9ed09869cd0db57cdd222cd649b7b1da6fc87b89a6f5db8c662c09183</cites><orcidid>0000-0002-1576-1481 ; 0000-0001-6645-0985</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/s00330-019-06612-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-019-06612-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27928,27929,41492,42561,51323</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32086579$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bertheau, Robert C.</creatorcontrib><creatorcontrib>Lorbeer, Roberto</creatorcontrib><creatorcontrib>Nattenmüller, Johanna</creatorcontrib><creatorcontrib>Wintermeyer, Elke</creatorcontrib><creatorcontrib>Machann, Jürgen</creatorcontrib><creatorcontrib>Linkohr, Birgit</creatorcontrib><creatorcontrib>Peters, Annette</creatorcontrib><creatorcontrib>Bamberg, Fabian</creatorcontrib><creatorcontrib>Schlett, Christopher L.</creatorcontrib><title>Bone marrow fat fraction assessment in regard to physical activity: KORA FF4–3-T MR imaging in a population-based cohort</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>EUR RADIOL</addtitle><addtitle>Eur Radiol</addtitle><description>Objectives
To establish the effect of different degrees and kinds of physical activity on bone marrow fat (BMAT) content at different anatomical locations in a population-based cohort study undergoing whole-body MR imaging.
Methods
Subjects of the KORA FF4 study without known cardiovascular disease underwent BMAT fat fraction (FF) quantification in L1 and L2 vertebrae and femoral heads/necks (hip) via a 2-point T1-weighted VIBE Dixon sequence. BMAT-FF was calculated as mean value (fat image) divided by mean value (fat + water image). Physical activity was determined by self-assessment questionnaire regarding time spent exercising, non-exercise walking, non-exercise cycling, and job-related physical activity.
Results
A total of 385 subjects (96% of 400 available; 56 ± 9.1 years; 58% male) were included in the analysis. Exercise was distributed quite evenly (29% > 2 h/week; 31% ~ 1 h/week (regularly); 15% ~ 1 h/week (irregularly); 26% no physical activity). BMAT-FF was 52.6 ± 10.2% in L1, 56.2 ± 10.3% in L2, 87.4 ± 5.9% in the right hip, and 87.2 ± 5.9% in the left hip (all
p
< 0.001). Correlation of BMAT-FF between spine and hip was only moderate (
r
0.42 to 0.46). Spinal BMAT-FF, but not hip BMAT-FF, was inversely associated with exercise > 2 h/week (
p
≤ 0.02 vs.
p
≥ 0.35, respectively). These associations remained significant after adjusting for age, gender, waist circumference, and glucose tolerance. No coherent association was found between BMAT-FF and physical activity in the less active groups.
Conclusions
In our study, exercise was inversely correlated with vertebral BMAT-FF, but not hip BMAT-FF, when exercising for more than 2 h per week. Physical activity seems to affect the spine at least preferentially compared to the hip.
Key Points
• In our population-based cohort, at least 2 h of physical activity per week were required to show lower levels of bone marrow adipose tissue fat fraction in MRI.
• Physical activity seems to affect bone marrow adipose tissue at least preferentially at the spine in contrast to the proximal femur.</description><subject>Adipose tissue</subject><subject>Adipose Tissue - diagnostic imaging</subject><subject>Aged</subject><subject>Biomedical materials</subject><subject>Bone marrow</subject><subject>Bone Marrow - diagnostic imaging</subject><subject>Cardiovascular diseases</subject><subject>Cohort Studies</subject><subject>Correlation analysis</subject><subject>Diagnostic Radiology</subject><subject>Exercise</subject><subject>Female</subject><subject>Femur</subject><subject>Femur Head - diagnostic imaging</subject><subject>Femur Neck - diagnostic imaging</subject><subject>Glucose tolerance</subject><subject>Health risk assessment</subject><subject>Hip</subject><subject>Humans</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Life Sciences & Biomedicine</subject><subject>Lumbar Vertebrae - diagnostic imaging</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Musculoskeletal</subject><subject>Neuroradiology</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Physical training</subject><subject>Population studies</subject><subject>Radiology</subject><subject>Radiology, Nuclear Medicine & Medical Imaging</subject><subject>Science & Technology</subject><subject>Self-assessment</subject><subject>Spine</subject><subject>Ultrasound</subject><subject>Vertebrae</subject><subject>Walking</subject><subject>Whole Body Imaging</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</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>eNqNkc1u1DAUhS0EokPhBVggSyyR4fonjs2uHTGAKKpUlXXk2M401UwcbIcqrHgH3pAnwdOUskOsfBffOdfnXISeU3hNAeo3CYBzIEA1ASkpI_MDtKKCM0JBiYdoBZorUmstjtCTlK4BQFNRP0ZHnIGSVa1X6PtpGDzemxjDDe5Mxl00NvdhwCYln9LeDxn3A45-a6LDOeDxak69NTt84L71eX6LP51fnODNRvz68ZOTS_z5Avd7s-2H7UFp8BjGaWcOpqQ1yTtsw1WI-Sl61Jld8s_u3mP0ZfPucv2BnJ2__7g-OSNWUJ2J4B20zHfaO9BKauvAtVVtnWOMWSeFbuuWOiM7q-pW6TJUrlVWSmZLXsWP0cvFd4zh6-RTbq7DFIeysmECpBCiElWh2ELZGFKKvmvGWFLEuaHQHOpulrqbUndzW3czF9GLO-up3Xt3L_nTbwHUAtz4NnTJ9n6w_h4rB6mo5OUmZQK17vNtS-swDblIX_2_tNB8oVMhhq2Pf0P-4_-_ARrTrWI</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Bertheau, Robert C.</creator><creator>Lorbeer, Roberto</creator><creator>Nattenmüller, Johanna</creator><creator>Wintermeyer, Elke</creator><creator>Machann, Jürgen</creator><creator>Linkohr, Birgit</creator><creator>Peters, Annette</creator><creator>Bamberg, Fabian</creator><creator>Schlett, Christopher L.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature</general><general>Springer Nature B.V</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</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>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><orcidid>https://orcid.org/0000-0002-1576-1481</orcidid><orcidid>https://orcid.org/0000-0001-6645-0985</orcidid></search><sort><creationdate>20200601</creationdate><title>Bone marrow fat fraction assessment in regard to physical activity: KORA FF4–3-T MR imaging in a population-based cohort</title><author>Bertheau, Robert C. ; Lorbeer, Roberto ; Nattenmüller, Johanna ; Wintermeyer, Elke ; Machann, Jürgen ; Linkohr, Birgit ; Peters, Annette ; Bamberg, Fabian ; Schlett, Christopher L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-43f0b2ef9ed09869cd0db57cdd222cd649b7b1da6fc87b89a6f5db8c662c09183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adipose tissue</topic><topic>Adipose Tissue - diagnostic imaging</topic><topic>Aged</topic><topic>Biomedical materials</topic><topic>Bone marrow</topic><topic>Bone Marrow - diagnostic imaging</topic><topic>Cardiovascular diseases</topic><topic>Cohort Studies</topic><topic>Correlation analysis</topic><topic>Diagnostic Radiology</topic><topic>Exercise</topic><topic>Female</topic><topic>Femur</topic><topic>Femur Head - diagnostic imaging</topic><topic>Femur Neck - diagnostic imaging</topic><topic>Glucose tolerance</topic><topic>Health risk assessment</topic><topic>Hip</topic><topic>Humans</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Life Sciences & Biomedicine</topic><topic>Lumbar Vertebrae - diagnostic imaging</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Musculoskeletal</topic><topic>Neuroradiology</topic><topic>Physical activity</topic><topic>Physical fitness</topic><topic>Physical training</topic><topic>Population studies</topic><topic>Radiology</topic><topic>Radiology, Nuclear Medicine & Medical Imaging</topic><topic>Science & Technology</topic><topic>Self-assessment</topic><topic>Spine</topic><topic>Ultrasound</topic><topic>Vertebrae</topic><topic>Walking</topic><topic>Whole Body Imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bertheau, Robert C.</creatorcontrib><creatorcontrib>Lorbeer, Roberto</creatorcontrib><creatorcontrib>Nattenmüller, Johanna</creatorcontrib><creatorcontrib>Wintermeyer, Elke</creatorcontrib><creatorcontrib>Machann, Jürgen</creatorcontrib><creatorcontrib>Linkohr, Birgit</creatorcontrib><creatorcontrib>Peters, Annette</creatorcontrib><creatorcontrib>Bamberg, Fabian</creatorcontrib><creatorcontrib>Schlett, Christopher L.</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</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>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><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bertheau, Robert C.</au><au>Lorbeer, Roberto</au><au>Nattenmüller, Johanna</au><au>Wintermeyer, Elke</au><au>Machann, Jürgen</au><au>Linkohr, Birgit</au><au>Peters, Annette</au><au>Bamberg, Fabian</au><au>Schlett, Christopher L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Bone marrow fat fraction assessment in regard to physical activity: KORA FF4–3-T MR imaging in a population-based cohort</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><stitle>EUR RADIOL</stitle><addtitle>Eur Radiol</addtitle><date>2020-06-01</date><risdate>2020</risdate><volume>30</volume><issue>6</issue><spage>3417</spage><epage>3428</epage><pages>3417-3428</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objectives
To establish the effect of different degrees and kinds of physical activity on bone marrow fat (BMAT) content at different anatomical locations in a population-based cohort study undergoing whole-body MR imaging.
Methods
Subjects of the KORA FF4 study without known cardiovascular disease underwent BMAT fat fraction (FF) quantification in L1 and L2 vertebrae and femoral heads/necks (hip) via a 2-point T1-weighted VIBE Dixon sequence. BMAT-FF was calculated as mean value (fat image) divided by mean value (fat + water image). Physical activity was determined by self-assessment questionnaire regarding time spent exercising, non-exercise walking, non-exercise cycling, and job-related physical activity.
Results
A total of 385 subjects (96% of 400 available; 56 ± 9.1 years; 58% male) were included in the analysis. Exercise was distributed quite evenly (29% > 2 h/week; 31% ~ 1 h/week (regularly); 15% ~ 1 h/week (irregularly); 26% no physical activity). BMAT-FF was 52.6 ± 10.2% in L1, 56.2 ± 10.3% in L2, 87.4 ± 5.9% in the right hip, and 87.2 ± 5.9% in the left hip (all
p
< 0.001). Correlation of BMAT-FF between spine and hip was only moderate (
r
0.42 to 0.46). Spinal BMAT-FF, but not hip BMAT-FF, was inversely associated with exercise > 2 h/week (
p
≤ 0.02 vs.
p
≥ 0.35, respectively). These associations remained significant after adjusting for age, gender, waist circumference, and glucose tolerance. No coherent association was found between BMAT-FF and physical activity in the less active groups.
Conclusions
In our study, exercise was inversely correlated with vertebral BMAT-FF, but not hip BMAT-FF, when exercising for more than 2 h per week. Physical activity seems to affect the spine at least preferentially compared to the hip.
Key Points
• In our population-based cohort, at least 2 h of physical activity per week were required to show lower levels of bone marrow adipose tissue fat fraction in MRI.
• Physical activity seems to affect bone marrow adipose tissue at least preferentially at the spine in contrast to the proximal femur.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>32086579</pmid><doi>10.1007/s00330-019-06612-y</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-1576-1481</orcidid><orcidid>https://orcid.org/0000-0001-6645-0985</orcidid><oa>free_for_read</oa></addata></record> |
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ispartof | European radiology, 2020-06, Vol.30 (6), p.3417-3428 |
issn | 0938-7994 1432-1084 |
language | eng |
recordid | cdi_proquest_journals_2406444545 |
source | MEDLINE; SpringerNature Journals |
subjects | Adipose tissue Adipose Tissue - diagnostic imaging Aged Biomedical materials Bone marrow Bone Marrow - diagnostic imaging Cardiovascular diseases Cohort Studies Correlation analysis Diagnostic Radiology Exercise Female Femur Femur Head - diagnostic imaging Femur Neck - diagnostic imaging Glucose tolerance Health risk assessment Hip Humans Imaging Internal Medicine Interventional Radiology Life Sciences & Biomedicine Lumbar Vertebrae - diagnostic imaging Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medical imaging Medicine Medicine & Public Health Middle Aged Musculoskeletal Neuroradiology Physical activity Physical fitness Physical training Population studies Radiology Radiology, Nuclear Medicine & Medical Imaging Science & Technology Self-assessment Spine Ultrasound Vertebrae Walking Whole Body Imaging |
title | Bone marrow fat fraction assessment in regard to physical activity: KORA FF4–3-T MR imaging in a population-based cohort |
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