{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T10:12:32Z","timestamp":1789035152623,"version":"build-2803163510"},"reference-count":33,"publisher":"Wiley","issue":"9","license":[{"start":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T00:00:00Z","timestamp":1786060800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T00:00:00Z","timestamp":1786060800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR\u201020\u2010CE17\u20100002\u201001"],"award-info":[{"award-number":["ANR\u201020\u2010CE17\u20100002\u201001"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR\u201010\u2010IAIHU\u201006"],"award-info":[{"award-number":["ANR\u201010\u2010IAIHU\u201006"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR\u201011\u2010INBS\u20100006"],"award-info":[{"award-number":["ANR\u201011\u2010INBS\u20100006"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR\u201011\u2010INBS\u20100011"],"award-info":[{"award-number":["ANR\u201011\u2010INBS\u20100011"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["NMR in Biomedicine"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Isocitrate dehydrogenase (IDH) mutation and 1p\/19q codeletion are key molecular markers for glioma classification. Amide proton transfer weighted (APTw) and nuclear Overhauser effect\u2013weighted (NOEw) markers showed promise for glioma characterization, by probing protein\u2010related tissue properties. However, their interpretation is confounded by direct water saturation, macromolecules (semi\u2010solid magnetization transfer\u2014ssMT), and\n                    <jats:italic>T<\/jats:italic>\n                    <jats:sub>1<\/jats:sub>\n                    relaxation. Here, we aimed to assess the performance of three APTw and NOEw metrics\u2014uncorrected, spillover\/ssMT\u2010corrected (FMC), and fully spillover\/ssMT\u2010 and\n                    <jats:italic>T<\/jats:italic>\n                    <jats:sub>1<\/jats:sub>\n                    \u2010corrected (FMTC)\u2014for glioma stratification. Fifty patients with suspected gliomas were prospectively enrolled (12 IDH\u2010wild\u2010type, 38 IDH\u2010mutant, of which 21 with 1p\/19q codeletion). Acquisitions were performed at 3\u2009T using a 3D gradient echo readout with chemical exchange saturation transfer (\n                    <jats:italic>B<\/jats:italic>\n                    <jats:sub>1<\/jats:sub>\n                    \u2009=\u20092\u2009\u03bcT for APTw, 0.6\u2009\u03bcT for NOEw;\n                    <jats:italic>T<\/jats:italic>\n                    <jats:sub>1sat<\/jats:sub>\n                    \u2009=\u20092\u2009s), WASABI (WAter Shift And B1) for\n                    <jats:italic>B<\/jats:italic>\n                    <jats:sub>0<\/jats:sub>\n                    \/\n                    <jats:italic>B<\/jats:italic>\n                    <jats:sub>1<\/jats:sub>\n                    mapping, and saturation recovery for\n                    <jats:italic>T<\/jats:italic>\n                    <jats:sub>1<\/jats:sub>\n                    mapping. Glioma subtypes were compared using metrics extracted from manually segmented masks, using two\u2010tailed Mann\u2013Whitney U tests, and the Benjamini\u2013Hochberg false discovery rate (FDR) correction. Effect sizes were quantified using Cliff's\n                    <jats:italic>\u03b4<\/jats:italic>\n                    with 95% bootstrap confidence intervals and classification performance was assessed by receiver operating characteristic analyses (area under the curve, AUC). IDH\u2010mutant and wild\u2010type gliomas differed significantly for the uncorrected APTw metric (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009=\u20090.005, AUC\u2009=\u20090.79), with stronger discrimination following correction\u2014APTw\u2010FMC (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.001, AUC\u2009=\u20090.94) and APTw\u2010FMTC (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.001, AUC\u2009=\u20090.96), both with large effect sizes. Only APTw\u2010FMTC distinguished 1p\/19q codeleted from non\u2010codeleted gliomas before FDR correction (uncorrected\n                    <jats:italic>p<\/jats:italic>\n                    \u2009=\u20090.01, AUC\u2009=\u20090.74). The NOEw metrics did not differ between any molecular subgroups, likely due to limited sensitivity of this contrast at 3\u2009T. These results suggest that correcting for fluid, ssMT, and\n                    <jats:italic>T<\/jats:italic>\n                    <jats:sub>1<\/jats:sub>\n                    effects enhances the accuracy of APTw metrics, offering a more robust and biophysically grounded approach to noninvasive glioma diagnosis.\n                  <\/jats:p>","DOI":"10.1002\/nbm.70372","type":"journal-article","created":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T11:54:14Z","timestamp":1786103654000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Diagnostic Accuracy of APTw and NOEw MRI Metrics for IDH Mutation and 1p\/19q Codeletion Prediction in Gliomas"],"prefix":"10.1002","volume":"39","author":[{"given":"Capucine","family":"Cadin","sequence":"first","affiliation":[{"name":"Paris Brain Institute \u2010 ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Universit\u00e9, UMR S 1127, Equipe labellis\u00e9e LNCC  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8705-9464","authenticated-orcid":false,"given":"Stefano","family":"Casagranda","sequence":"additional","affiliation":[{"name":"Department of R&amp;D Advanced Applications Olea Medical  La Ciotat France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6229-5364","authenticated-orcid":false,"given":"Fran\u00e7ois Xavier","family":"Lejeune","sequence":"additional","affiliation":[{"name":"Data Analysis Core Paris Brain Institute  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marianne","family":"Golse","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology La Piti\u00e9 Salp\u00eatri\u00e8re Hospital, AP\u2010HP  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9182-5846","authenticated-orcid":false,"given":"Bertrand","family":"Mathon","sequence":"additional","affiliation":[{"name":"Paris Brain Institute \u2010 ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Universit\u00e9, UMR S 1127, Equipe labellis\u00e9e LNCC  Paris France"},{"name":"Department of Neurosurgery La Piti\u00e9 Salp\u00eatri\u00e8re Hospital, AP\u2010HP Sorbonne University  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ottavia","family":"Dipasquale","sequence":"additional","affiliation":[{"name":"Department of R&amp;D Advanced Applications Olea Medical  La Ciotat France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christos","family":"Papageorgakis","sequence":"additional","affiliation":[{"name":"Department of R&amp;D Advanced Applications Olea Medical  La Ciotat 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France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6564-6388","authenticated-orcid":false,"given":"Franck","family":"Bielle","sequence":"additional","affiliation":[{"name":"Paris Brain Institute \u2010 ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Universit\u00e9, UMR S 1127, Equipe labellis\u00e9e LNCC  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc","family":"Sanson","sequence":"additional","affiliation":[{"name":"Paris Brain Institute \u2010 ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Universit\u00e9, UMR S 1127, Equipe labellis\u00e9e LNCC  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick","family":"Liebig","sequence":"additional","affiliation":[{"name":"Siemens Healthcare GmbH  Erlangen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9780-3616","authenticated-orcid":false,"given":"Moritz","family":"Zaiss","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology Friedrich\u2010Alexander Universit\u00e4t Erlangen\u2010N\u00fcrnberg (FAU)  Erlangen Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-0934-5365","authenticated-orcid":false,"given":"Lucia","family":"Nichelli","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology La Piti\u00e9 Salp\u00eatri\u00e8re Hospital, AP\u2010HP  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9792-0492","authenticated-orcid":false,"given":"Francesca","family":"Branzoli","sequence":"additional","affiliation":[{"name":"Paris Brain Institute \u2010 ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Universit\u00e9, UMR S 1127, Equipe 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