Prospective comparison of longitudinal change in hepatic proton density fat fraction (PDFF) estimated by magnitude-based MRI (MRI-M) and complex-based MRI (MRI-C)
Purpose To compare longitudinal hepatic proton density fat fraction (PDFF) changes estimated by magnitude- vs. complex-based chemical-shift-encoded MRI during a weight loss surgery (WLS) program in severely obese adults with biopsy-proven nonalcoholic fatty liver disease (NAFLD). Methods This was a...
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| Veröffentlicht in: | European radiology 2020-09, Vol.30 (9), p.5120-5129 |
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| creator | Mamidipalli, Adrija Fowler, Kathryn J. Hamilton, Gavin Wolfson, Tanya Covarrubias, Yesenia Tran, Calvin Fazeli, Soudabeh Wiens, Curtis N. McMillan, Alan Artz, Nathan S. Funk, Luke M. Campos, Guilherme M. Greenberg, Jacob A. Gamst, Anthony Middleton, Michael S. Schwimmer, Jeffrey B. Reeder, Scott B. Sirlin, Claude B. |
| description | Purpose
To compare longitudinal hepatic proton density fat fraction (PDFF) changes estimated by magnitude- vs. complex-based chemical-shift-encoded MRI during a weight loss surgery (WLS) program in severely obese adults with biopsy-proven nonalcoholic fatty liver disease (NAFLD).
Methods
This was a secondary analysis of a prospective dual-center longitudinal study of 54 adults (44 women; mean age 52 years; range 27–70 years) with obesity, biopsy-proven NAFLD, and baseline PDFF ≥ 5%, enrolled in a WLS program. PDFF was estimated by confounder-corrected chemical-shift-encoded MRI using magnitude (MRI-M)- and complex (MRI-C)-based techniques at baseline (visit 1), after a 2- to 4-week very low–calorie diet (visit 2), and at 1, 3, and 6 months (visits 3 to 5) after surgery. At each visit, PDFF values estimated by MRI-M and MRI-C were compared by a paired
t
test. Rates of PDFF change estimated by MRI-M and MRI-C for visits 1 to 3, and for visits 3 to 5 were assessed by Bland-Altman analysis and intraclass correlation coefficients (ICCs).
Results
MRI-M PDFF estimates were lower by 0.5–0.7% compared with those of MRI-C at all visits (
p
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| doi_str_mv | 10.1007/s00330-020-06858-x |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_webof</sourceid><recordid>TN_cdi_webofscience_primary_000528094500005CitationCount</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2434614295</sourcerecordid><originalsourceid>FETCH-LOGICAL-c474t-670999259da8f286f752466a3bc64f320aa3f6ad2ab4be0a6c56bf638129ad743</originalsourceid><addsrcrecordid>eNqNkt9u0zAUxiMEYl3hBbhAlrhphQKO7TjxDRIqFCZtYkJwbZ04TusptTPbGe3r7Elx11FgF4gL_9Hx73z28fmy7EWB3xQYV28DxpTiHJM0eF3W-fZRNikYJXmBa_Y4m2BB67wSgp1kpyFcYYxFwaqn2QkltKhrVk2y20vvwqBVNDcaKbcZwJvgLHId6p1dmTi2xkKP1BrsSiNj0VoPEI1Cg3cxga22wcQd6iCizkMSSsHZ5Yflco50iGYDUbeo2aENrOxeTucNhBS6-HqGZmnKL-YIbHt3ea-3D08X82fZkw76oJ_fr9Ps-_Ljt8Xn_PzLp7PF-_NcsYrFnFdYCEFK0ULdkZp3VUkY50AbxVlHCQagHYeWQMMajYGrkjcdp3VBBLQVo9Ps3UF3GJuNbpW20UMvB59q8DvpwMi_T6xZy5W7kRUTJRUiCczuBby7HlPxcmOC0n0PVrsxSEIF5QUnJUnoqwfolRt9-uhEMcp4wUjSnGbkQKnUpOB1d3xMgeXeAvJgAZksIO8sILcp6eWfZRxTfvU8AfUB-KEb1wVltFX6iCWTlKTGgpV4v12YCPuWLtxoY0p9_f-piaYHOiQiucf_LvIf7_8JW4DeDw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2434614295</pqid></control><display><type>article</type><title>Prospective comparison of longitudinal change in hepatic proton density fat fraction (PDFF) estimated by magnitude-based MRI (MRI-M) and complex-based MRI (MRI-C)</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Mamidipalli, Adrija ; Fowler, Kathryn J. ; Hamilton, Gavin ; Wolfson, Tanya ; Covarrubias, Yesenia ; Tran, Calvin ; Fazeli, Soudabeh ; Wiens, Curtis N. ; McMillan, Alan ; Artz, Nathan S. ; Funk, Luke M. ; Campos, Guilherme M. ; Greenberg, Jacob A. ; Gamst, Anthony ; Middleton, Michael S. ; Schwimmer, Jeffrey B. ; Reeder, Scott B. ; Sirlin, Claude B.</creator><creatorcontrib>Mamidipalli, Adrija ; Fowler, Kathryn J. ; Hamilton, Gavin ; Wolfson, Tanya ; Covarrubias, Yesenia ; Tran, Calvin ; Fazeli, Soudabeh ; Wiens, Curtis N. ; McMillan, Alan ; Artz, Nathan S. ; Funk, Luke M. ; Campos, Guilherme M. ; Greenberg, Jacob A. ; Gamst, Anthony ; Middleton, Michael S. ; Schwimmer, Jeffrey B. ; Reeder, Scott B. ; Sirlin, Claude B.</creatorcontrib><description>Purpose
To compare longitudinal hepatic proton density fat fraction (PDFF) changes estimated by magnitude- vs. complex-based chemical-shift-encoded MRI during a weight loss surgery (WLS) program in severely obese adults with biopsy-proven nonalcoholic fatty liver disease (NAFLD).
Methods
This was a secondary analysis of a prospective dual-center longitudinal study of 54 adults (44 women; mean age 52 years; range 27–70 years) with obesity, biopsy-proven NAFLD, and baseline PDFF ≥ 5%, enrolled in a WLS program. PDFF was estimated by confounder-corrected chemical-shift-encoded MRI using magnitude (MRI-M)- and complex (MRI-C)-based techniques at baseline (visit 1), after a 2- to 4-week very low–calorie diet (visit 2), and at 1, 3, and 6 months (visits 3 to 5) after surgery. At each visit, PDFF values estimated by MRI-M and MRI-C were compared by a paired
t
test. Rates of PDFF change estimated by MRI-M and MRI-C for visits 1 to 3, and for visits 3 to 5 were assessed by Bland-Altman analysis and intraclass correlation coefficients (ICCs).
Results
MRI-M PDFF estimates were lower by 0.5–0.7% compared with those of MRI-C at all visits (
p
< 0.001). There was high agreement and no difference between PDFF change rates estimated by MRI-M vs. MRI-C for visits 1 to 3 (ICC 0.983, 95% CI 0.971, 0.99; bias = − 0.13%,
p
= 0.22), or visits 3 to 5 (ICC 0.956, 95% CI 0.919–0.977%; bias = 0.03%,
p
= 0.36).
Conclusion
Although MRI-M underestimates PDFF compared with MRI-C cross-sectionally, this bias is consistent and MRI-M and MRI-C agree in estimating the rate of hepatic PDFF change longitudinally.
Key Points
• MRI-M demonstrates a significant but small and consistent bias (0.5–0.7%; p < 0.001) towards underestimation of PDFF compared with MRI-C at 3 T.
• Rates of PDFF change estimated by MRI-M and MRI-C agree closely (ICC 0.96–0.98) in adults with severe obesity and biopsy- proven NAFLD enrolled in a weight loss surgery program.
• Our findings support the use of either MRI technique (MRI-M or MRI-C) for clinical care or by individual sites or for multi-center trials that include PDFF change as an endpoint. However, since there is a bias in their measurements, the same technique should be used in any given patient for longitudinal follow-up.</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-020-06858-x</identifier><identifier>PMID: 32318847</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult ; Adults ; Aged ; Bariatric Surgery ; Bias ; Biopsy ; Body weight loss ; Clinical trials ; Correlation analysis ; Correlation coefficient ; Correlation coefficients ; Diagnostic Radiology ; Fatty liver ; Female ; Humans ; Hypocaloric diet ; Imaging ; Internal Medicine ; Interventional Radiology ; Life Sciences & Biomedicine ; Liver - diagnostic imaging ; Liver diseases ; Longitudinal Studies ; Magnetic Resonance ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Neuroradiology ; Non-alcoholic Fatty Liver Disease - complications ; Non-alcoholic Fatty Liver Disease - diagnostic imaging ; Nutrient deficiency ; Obesity ; Obesity, Morbid - complications ; Obesity, Morbid - surgery ; Prospective Studies ; Proton density (concentration) ; Protons ; Radiology ; Radiology, Nuclear Medicine & Medical Imaging ; Science & Technology ; Secondary analysis ; Surgery ; Ultrasound ; Weight control ; Weight loss</subject><ispartof>European radiology, 2020-09, Vol.30 (9), p.5120-5129</ispartof><rights>European Society of Radiology 2020</rights><rights>European Society of Radiology 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>5</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000528094500005</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c474t-670999259da8f286f752466a3bc64f320aa3f6ad2ab4be0a6c56bf638129ad743</citedby><cites>FETCH-LOGICAL-c474t-670999259da8f286f752466a3bc64f320aa3f6ad2ab4be0a6c56bf638129ad743</cites><orcidid>0000-0002-6639-9072 ; 0000-0002-9435-3004 ; 0000-0003-4475-304X</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/s00330-020-06858-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-020-06858-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,778,782,883,27907,27908,41471,42540,51302</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32318847$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mamidipalli, Adrija</creatorcontrib><creatorcontrib>Fowler, Kathryn J.</creatorcontrib><creatorcontrib>Hamilton, Gavin</creatorcontrib><creatorcontrib>Wolfson, Tanya</creatorcontrib><creatorcontrib>Covarrubias, Yesenia</creatorcontrib><creatorcontrib>Tran, Calvin</creatorcontrib><creatorcontrib>Fazeli, Soudabeh</creatorcontrib><creatorcontrib>Wiens, Curtis N.</creatorcontrib><creatorcontrib>McMillan, Alan</creatorcontrib><creatorcontrib>Artz, Nathan S.</creatorcontrib><creatorcontrib>Funk, Luke M.</creatorcontrib><creatorcontrib>Campos, Guilherme M.</creatorcontrib><creatorcontrib>Greenberg, Jacob A.</creatorcontrib><creatorcontrib>Gamst, Anthony</creatorcontrib><creatorcontrib>Middleton, Michael S.</creatorcontrib><creatorcontrib>Schwimmer, Jeffrey B.</creatorcontrib><creatorcontrib>Reeder, Scott B.</creatorcontrib><creatorcontrib>Sirlin, Claude B.</creatorcontrib><title>Prospective comparison of longitudinal change in hepatic proton density fat fraction (PDFF) estimated by magnitude-based MRI (MRI-M) and complex-based MRI (MRI-C)</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>EUR RADIOL</addtitle><addtitle>Eur Radiol</addtitle><description>Purpose
To compare longitudinal hepatic proton density fat fraction (PDFF) changes estimated by magnitude- vs. complex-based chemical-shift-encoded MRI during a weight loss surgery (WLS) program in severely obese adults with biopsy-proven nonalcoholic fatty liver disease (NAFLD).
Methods
This was a secondary analysis of a prospective dual-center longitudinal study of 54 adults (44 women; mean age 52 years; range 27–70 years) with obesity, biopsy-proven NAFLD, and baseline PDFF ≥ 5%, enrolled in a WLS program. PDFF was estimated by confounder-corrected chemical-shift-encoded MRI using magnitude (MRI-M)- and complex (MRI-C)-based techniques at baseline (visit 1), after a 2- to 4-week very low–calorie diet (visit 2), and at 1, 3, and 6 months (visits 3 to 5) after surgery. At each visit, PDFF values estimated by MRI-M and MRI-C were compared by a paired
t
test. Rates of PDFF change estimated by MRI-M and MRI-C for visits 1 to 3, and for visits 3 to 5 were assessed by Bland-Altman analysis and intraclass correlation coefficients (ICCs).
Results
MRI-M PDFF estimates were lower by 0.5–0.7% compared with those of MRI-C at all visits (
p
< 0.001). There was high agreement and no difference between PDFF change rates estimated by MRI-M vs. MRI-C for visits 1 to 3 (ICC 0.983, 95% CI 0.971, 0.99; bias = − 0.13%,
p
= 0.22), or visits 3 to 5 (ICC 0.956, 95% CI 0.919–0.977%; bias = 0.03%,
p
= 0.36).
Conclusion
Although MRI-M underestimates PDFF compared with MRI-C cross-sectionally, this bias is consistent and MRI-M and MRI-C agree in estimating the rate of hepatic PDFF change longitudinally.
Key Points
• MRI-M demonstrates a significant but small and consistent bias (0.5–0.7%; p < 0.001) towards underestimation of PDFF compared with MRI-C at 3 T.
• Rates of PDFF change estimated by MRI-M and MRI-C agree closely (ICC 0.96–0.98) in adults with severe obesity and biopsy- proven NAFLD enrolled in a weight loss surgery program.
• Our findings support the use of either MRI technique (MRI-M or MRI-C) for clinical care or by individual sites or for multi-center trials that include PDFF change as an endpoint. However, since there is a bias in their measurements, the same technique should be used in any given patient for longitudinal follow-up.</description><subject>Adult</subject><subject>Adults</subject><subject>Aged</subject><subject>Bariatric Surgery</subject><subject>Bias</subject><subject>Biopsy</subject><subject>Body weight loss</subject><subject>Clinical trials</subject><subject>Correlation analysis</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Diagnostic Radiology</subject><subject>Fatty liver</subject><subject>Female</subject><subject>Humans</subject><subject>Hypocaloric diet</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Life Sciences & Biomedicine</subject><subject>Liver - diagnostic imaging</subject><subject>Liver diseases</subject><subject>Longitudinal Studies</subject><subject>Magnetic Resonance</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Middle Aged</subject><subject>Neuroradiology</subject><subject>Non-alcoholic Fatty Liver Disease - complications</subject><subject>Non-alcoholic Fatty Liver Disease - diagnostic imaging</subject><subject>Nutrient deficiency</subject><subject>Obesity</subject><subject>Obesity, Morbid - complications</subject><subject>Obesity, Morbid - surgery</subject><subject>Prospective Studies</subject><subject>Proton density (concentration)</subject><subject>Protons</subject><subject>Radiology</subject><subject>Radiology, Nuclear Medicine & Medical Imaging</subject><subject>Science & Technology</subject><subject>Secondary analysis</subject><subject>Surgery</subject><subject>Ultrasound</subject><subject>Weight control</subject><subject>Weight loss</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>eNqNkt9u0zAUxiMEYl3hBbhAlrhphQKO7TjxDRIqFCZtYkJwbZ04TusptTPbGe3r7Elx11FgF4gL_9Hx73z28fmy7EWB3xQYV28DxpTiHJM0eF3W-fZRNikYJXmBa_Y4m2BB67wSgp1kpyFcYYxFwaqn2QkltKhrVk2y20vvwqBVNDcaKbcZwJvgLHId6p1dmTi2xkKP1BrsSiNj0VoPEI1Cg3cxga22wcQd6iCizkMSSsHZ5Yflco50iGYDUbeo2aENrOxeTucNhBS6-HqGZmnKL-YIbHt3ea-3D08X82fZkw76oJ_fr9Ps-_Ljt8Xn_PzLp7PF-_NcsYrFnFdYCEFK0ULdkZp3VUkY50AbxVlHCQagHYeWQMMajYGrkjcdp3VBBLQVo9Ps3UF3GJuNbpW20UMvB59q8DvpwMi_T6xZy5W7kRUTJRUiCczuBby7HlPxcmOC0n0PVrsxSEIF5QUnJUnoqwfolRt9-uhEMcp4wUjSnGbkQKnUpOB1d3xMgeXeAvJgAZksIO8sILcp6eWfZRxTfvU8AfUB-KEb1wVltFX6iCWTlKTGgpV4v12YCPuWLtxoY0p9_f-piaYHOiQiucf_LvIf7_8JW4DeDw</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Mamidipalli, Adrija</creator><creator>Fowler, Kathryn J.</creator><creator>Hamilton, Gavin</creator><creator>Wolfson, Tanya</creator><creator>Covarrubias, Yesenia</creator><creator>Tran, Calvin</creator><creator>Fazeli, Soudabeh</creator><creator>Wiens, Curtis N.</creator><creator>McMillan, Alan</creator><creator>Artz, Nathan S.</creator><creator>Funk, Luke M.</creator><creator>Campos, Guilherme M.</creator><creator>Greenberg, Jacob A.</creator><creator>Gamst, Anthony</creator><creator>Middleton, Michael S.</creator><creator>Schwimmer, Jeffrey B.</creator><creator>Reeder, Scott B.</creator><creator>Sirlin, Claude B.</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><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6639-9072</orcidid><orcidid>https://orcid.org/0000-0002-9435-3004</orcidid><orcidid>https://orcid.org/0000-0003-4475-304X</orcidid></search><sort><creationdate>20200901</creationdate><title>Prospective comparison of longitudinal change in hepatic proton density fat fraction (PDFF) estimated by magnitude-based MRI (MRI-M) and complex-based MRI (MRI-C)</title><author>Mamidipalli, Adrija ; Fowler, Kathryn J. ; Hamilton, Gavin ; Wolfson, Tanya ; Covarrubias, Yesenia ; Tran, Calvin ; Fazeli, Soudabeh ; Wiens, Curtis N. ; McMillan, Alan ; Artz, Nathan S. ; Funk, Luke M. ; Campos, Guilherme M. ; Greenberg, Jacob A. ; Gamst, Anthony ; Middleton, Michael S. ; Schwimmer, Jeffrey B. ; Reeder, Scott B. ; Sirlin, Claude B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-670999259da8f286f752466a3bc64f320aa3f6ad2ab4be0a6c56bf638129ad743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adult</topic><topic>Adults</topic><topic>Aged</topic><topic>Bariatric Surgery</topic><topic>Bias</topic><topic>Biopsy</topic><topic>Body weight loss</topic><topic>Clinical trials</topic><topic>Correlation analysis</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Diagnostic Radiology</topic><topic>Fatty liver</topic><topic>Female</topic><topic>Humans</topic><topic>Hypocaloric diet</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Life Sciences & Biomedicine</topic><topic>Liver - diagnostic imaging</topic><topic>Liver diseases</topic><topic>Longitudinal Studies</topic><topic>Magnetic Resonance</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Middle Aged</topic><topic>Neuroradiology</topic><topic>Non-alcoholic Fatty Liver Disease - complications</topic><topic>Non-alcoholic Fatty Liver Disease - diagnostic imaging</topic><topic>Nutrient deficiency</topic><topic>Obesity</topic><topic>Obesity, Morbid - complications</topic><topic>Obesity, Morbid - surgery</topic><topic>Prospective Studies</topic><topic>Proton density (concentration)</topic><topic>Protons</topic><topic>Radiology</topic><topic>Radiology, Nuclear Medicine & Medical Imaging</topic><topic>Science & Technology</topic><topic>Secondary analysis</topic><topic>Surgery</topic><topic>Ultrasound</topic><topic>Weight control</topic><topic>Weight loss</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mamidipalli, Adrija</creatorcontrib><creatorcontrib>Fowler, Kathryn J.</creatorcontrib><creatorcontrib>Hamilton, Gavin</creatorcontrib><creatorcontrib>Wolfson, Tanya</creatorcontrib><creatorcontrib>Covarrubias, Yesenia</creatorcontrib><creatorcontrib>Tran, Calvin</creatorcontrib><creatorcontrib>Fazeli, Soudabeh</creatorcontrib><creatorcontrib>Wiens, Curtis N.</creatorcontrib><creatorcontrib>McMillan, Alan</creatorcontrib><creatorcontrib>Artz, Nathan S.</creatorcontrib><creatorcontrib>Funk, Luke M.</creatorcontrib><creatorcontrib>Campos, Guilherme M.</creatorcontrib><creatorcontrib>Greenberg, Jacob A.</creatorcontrib><creatorcontrib>Gamst, Anthony</creatorcontrib><creatorcontrib>Middleton, Michael S.</creatorcontrib><creatorcontrib>Schwimmer, Jeffrey B.</creatorcontrib><creatorcontrib>Reeder, Scott B.</creatorcontrib><creatorcontrib>Sirlin, Claude B.</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 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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>Mamidipalli, Adrija</au><au>Fowler, Kathryn J.</au><au>Hamilton, Gavin</au><au>Wolfson, Tanya</au><au>Covarrubias, Yesenia</au><au>Tran, Calvin</au><au>Fazeli, Soudabeh</au><au>Wiens, Curtis N.</au><au>McMillan, Alan</au><au>Artz, Nathan S.</au><au>Funk, Luke M.</au><au>Campos, Guilherme M.</au><au>Greenberg, Jacob A.</au><au>Gamst, Anthony</au><au>Middleton, Michael S.</au><au>Schwimmer, Jeffrey B.</au><au>Reeder, Scott B.</au><au>Sirlin, Claude B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prospective comparison of longitudinal change in hepatic proton density fat fraction (PDFF) estimated by magnitude-based MRI (MRI-M) and complex-based MRI (MRI-C)</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><stitle>EUR RADIOL</stitle><addtitle>Eur Radiol</addtitle><date>2020-09-01</date><risdate>2020</risdate><volume>30</volume><issue>9</issue><spage>5120</spage><epage>5129</epage><pages>5120-5129</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Purpose
To compare longitudinal hepatic proton density fat fraction (PDFF) changes estimated by magnitude- vs. complex-based chemical-shift-encoded MRI during a weight loss surgery (WLS) program in severely obese adults with biopsy-proven nonalcoholic fatty liver disease (NAFLD).
Methods
This was a secondary analysis of a prospective dual-center longitudinal study of 54 adults (44 women; mean age 52 years; range 27–70 years) with obesity, biopsy-proven NAFLD, and baseline PDFF ≥ 5%, enrolled in a WLS program. PDFF was estimated by confounder-corrected chemical-shift-encoded MRI using magnitude (MRI-M)- and complex (MRI-C)-based techniques at baseline (visit 1), after a 2- to 4-week very low–calorie diet (visit 2), and at 1, 3, and 6 months (visits 3 to 5) after surgery. At each visit, PDFF values estimated by MRI-M and MRI-C were compared by a paired
t
test. Rates of PDFF change estimated by MRI-M and MRI-C for visits 1 to 3, and for visits 3 to 5 were assessed by Bland-Altman analysis and intraclass correlation coefficients (ICCs).
Results
MRI-M PDFF estimates were lower by 0.5–0.7% compared with those of MRI-C at all visits (
p
< 0.001). There was high agreement and no difference between PDFF change rates estimated by MRI-M vs. MRI-C for visits 1 to 3 (ICC 0.983, 95% CI 0.971, 0.99; bias = − 0.13%,
p
= 0.22), or visits 3 to 5 (ICC 0.956, 95% CI 0.919–0.977%; bias = 0.03%,
p
= 0.36).
Conclusion
Although MRI-M underestimates PDFF compared with MRI-C cross-sectionally, this bias is consistent and MRI-M and MRI-C agree in estimating the rate of hepatic PDFF change longitudinally.
Key Points
• MRI-M demonstrates a significant but small and consistent bias (0.5–0.7%; p < 0.001) towards underestimation of PDFF compared with MRI-C at 3 T.
• Rates of PDFF change estimated by MRI-M and MRI-C agree closely (ICC 0.96–0.98) in adults with severe obesity and biopsy- proven NAFLD enrolled in a weight loss surgery program.
• Our findings support the use of either MRI technique (MRI-M or MRI-C) for clinical care or by individual sites or for multi-center trials that include PDFF change as an endpoint. However, since there is a bias in their measurements, the same technique should be used in any given patient for longitudinal follow-up.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>32318847</pmid><doi>10.1007/s00330-020-06858-x</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-6639-9072</orcidid><orcidid>https://orcid.org/0000-0002-9435-3004</orcidid><orcidid>https://orcid.org/0000-0003-4475-304X</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0938-7994 |
| ispartof | European radiology, 2020-09, Vol.30 (9), p.5120-5129 |
| issn | 0938-7994 1432-1084 |
| language | eng |
| recordid | cdi_webofscience_primary_000528094500005CitationCount |
| source | MEDLINE; SpringerLink Journals |
| subjects | Adult Adults Aged Bariatric Surgery Bias Biopsy Body weight loss Clinical trials Correlation analysis Correlation coefficient Correlation coefficients Diagnostic Radiology Fatty liver Female Humans Hypocaloric diet Imaging Internal Medicine Interventional Radiology Life Sciences & Biomedicine Liver - diagnostic imaging Liver diseases Longitudinal Studies Magnetic Resonance Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Medicine Medicine & Public Health Middle Aged Neuroradiology Non-alcoholic Fatty Liver Disease - complications Non-alcoholic Fatty Liver Disease - diagnostic imaging Nutrient deficiency Obesity Obesity, Morbid - complications Obesity, Morbid - surgery Prospective Studies Proton density (concentration) Protons Radiology Radiology, Nuclear Medicine & Medical Imaging Science & Technology Secondary analysis Surgery Ultrasound Weight control Weight loss |
| title | Prospective comparison of longitudinal change in hepatic proton density fat fraction (PDFF) estimated by magnitude-based MRI (MRI-M) and complex-based MRI (MRI-C) |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T23%3A10%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_webof&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prospective%20comparison%20of%20longitudinal%20change%20in%20hepatic%20proton%20density%20fat%20fraction%20(PDFF)%20estimated%20by%20magnitude-based%20MRI%20(MRI-M)%20and%20complex-based%20MRI%20(MRI-C)&rft.jtitle=European%20radiology&rft.au=Mamidipalli,%20Adrija&rft.date=2020-09-01&rft.volume=30&rft.issue=9&rft.spage=5120&rft.epage=5129&rft.pages=5120-5129&rft.issn=0938-7994&rft.eissn=1432-1084&rft_id=info:doi/10.1007/s00330-020-06858-x&rft_dat=%3Cproquest_webof%3E2434614295%3C/proquest_webof%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2434614295&rft_id=info:pmid/32318847&rfr_iscdi=true |