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Such a workaround has already been reported for dual-energy x-ray absorption (DEXA) scans and becomes feasible whenever the field of view of an imaging technique is not large enough.<\/jats:p>\n              <\/jats:sec>\n              <jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>Full-body abdominal MRI data of 26 patients from an obesity treatment center (13 females and 13 males, BMI range 30.8\u201341.2\u2009kg\/m<jats:sup>2<\/jats:sup>, 32.6\u201361.5\u2009years old) were used as reference (REF). MRI was performed with IRB approval on a clinical 1.5\u2009T MRI (Achieva dStream, Philips Healthcare, Best, Netherlands). Segmentation of adipose tissue was performed with a custom-made Matlab software tool. Statistical measures of agreement were the coefficient of determination <jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup> of a linear fit.<\/jats:p>\n              <\/jats:sec>\n              <jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Mean ASAT<jats:sub>REF<\/jats:sub> was 12,976 (7812\u201324,161) cm<jats:sup>3<\/jats:sup> and mean VAT<jats:sub>REF<\/jats:sub> was 4068 (1137\u20137518) cm<jats:sup>3<\/jats:sup>. Mean half-body volumes relative to the whole-body values were 50.8% (48.2\u201353.7%) for ASAT<jats:sub>L<\/jats:sub> and 49.2% (46.3\u201351.8%) for ASAT<jats:sub>R<\/jats:sub>. Corresponding volume fractions were 56.4% (51.4\u201365.9%) for VAT<jats:sub>L<\/jats:sub> and 43.6% (34.1\u201348.6%) for VAT<jats:sub>R<\/jats:sub>. Correlations of ASAT<jats:sub>REF<\/jats:sub> with ASAT<jats:sub>L<\/jats:sub> as well as with ASAT<jats:sub>R<\/jats:sub> were both excellent (<jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u2009&gt;\u20090.99, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01). Corresponding correlations of VAT<jats:sub>REF<\/jats:sub> were marginally lower (<jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u2009=\u20090.98 for VAT<jats:sub>L<\/jats:sub>, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01, and <jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u2009=\u20090.97 for VAT<jats:sub>R<\/jats:sub>, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01).<\/jats:p>\n              <\/jats:sec>\n              <jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>In conclusion, abdominal fat volumes can be reliably assessed by half-body MRI data, in particular the subcutaneous fat compartment.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s12880-019-0383-8","type":"journal-article","created":{"date-parts":[[2019,10,23]],"date-time":"2019-10-23T04:29:57Z","timestamp":1571804997000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Half-body MRI volumetry of abdominal adipose tissue in patients with obesity"],"prefix":"10.1186","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2816-8158","authenticated-orcid":false,"given":"Nicolas","family":"Linder","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kilian","family":"Solty","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Hartmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tobias","family":"Eggebrecht","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias","family":"Bl\u00fcher","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roland","family":"Stange","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Harald","family":"Busse","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2019,10,22]]},"reference":[{"key":"383_CR1","unstructured":"NCD Risk Factor Collaboration (NCD-RisC). 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