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Spectral fractions and conventional metrics were normalized to normal\u2010appearing white matter (NAWM): nV1\u2013nV7, nADC\n                      <jats:sub>1<\/jats:sub>\n                      , and nT2\n                      <jats:sub>1<\/jats:sub>\n                      were obtained from the entire non\u2010necrotic tumor, whereas nADC\n                      <jats:sub>2<\/jats:sub>\n                      and nT2\n                      <jats:sub>2<\/jats:sub>\n                      were obtained from enhancing tumor (ET) in substantially enhancing lesions or non\u2010enhancing tumor (NET) in lesions with little or no enhancement. Associations of these metrics with glioma grade (high or low), Ki\u201067 index, and IDH status (wild type or mutant) were investigated.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Statistical Tests<\/jats:title>\n                    <jats:p>\n                      Mann\u2013Whitney\n                      <jats:italic>U<\/jats:italic>\n                      test, Spearman rank correlation coefficient (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      ), logistic regression, likelihood ratio testing, receiver operating characteristic (ROC) analysis, bootstrapped area under ROC curve (AUC). Significance:\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      DR\u2010CSI showed distinct D\u2013T2 spectral patterns across ET, NET, necrosis\/cystic change, and NAWM. nV3 significantly correlated with Ki\u201067 index (\n                      <jats:italic>\u03c1<\/jats:italic>\n                      \u2009=\u20090.401) and remained significantly associated with high\u2010grade status after age adjustment (odds ratio [OR] per standard deviation [SD] increase\u2009=\u20096.020). nV5 was significantly associated with IDH\u2010mutant status after age adjustment (OR per SD increase, 10.980). Including nV3 in addition to age significantly improved grade model fit (bootstrap\u2010corrected AUC, 0.805 vs. 0.709). Including nADC\n                      <jats:sub>2<\/jats:sub>\n                      and nV5 in addition to age significantly improved IDH model fit over age alone (bootstrap\u2010corrected AUC, 0.953 vs. 0.877).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Data Conclusion<\/jats:title>\n                    <jats:p>DR\u2010CSI characterized D\u2013T2 compartment spectral heterogeneity in gliomas, and DR\u2010CSI metrics were associated with grade, Ki\u201067 index, and IDH status. These findings support DR\u2010CSI as a composition\u2010sensitive MRI approach for glioma heterogeneity assessment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Evidence Level<\/jats:title>\n                    <jats:p>2.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Technical Efficacy<\/jats:title>\n                    <jats:p>Stage 2.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jmri.70606","type":"journal-article","created":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T05:47:36Z","timestamp":1792648056000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Diffusion\u2013Relaxation Correlation Spectroscopic\n                    <scp>MRI<\/scp>\n                    in Adult Gliomas: Spectral Heterogeneity and Associations With Histomolecular Features"],"prefix":"10.1002","author":[{"given":"Mengyang","family":"Wu","sequence":"first","affiliation":[{"name":"Institute of Science and Technology for Brain\u2010Inspired Intelligence Fudan University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8768-9303","authenticated-orcid":false,"given":"Rong","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Radiology Huashan Hospital, Fudan University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3726-5243","authenticated-orcid":false,"given":"Weijun","family":"Tang","sequence":"additional","affiliation":[{"name":"Department of Radiology Huashan Hospital, Fudan University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junqi","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Radiology &amp; Institute for Medical Imaging Technology Ruijin Hospital, Shanghai Jiao Tong University School of Medicine  Shanghai China"},{"name":"Shanghai United Imaging Healthcare Advanced Technology Research Institute co., Ltd  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qisheng","family":"Tang","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery Huashan Hospital, Fudan University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiyin","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Radiology Huashan Hospital, Fudan University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7712-0890","authenticated-orcid":false,"given":"Hao","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology for Brain\u2010Inspired Intelligence Fudan University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying\u2010Hua","family":"Chu","sequence":"additional","affiliation":[{"name":"MR Research Collaboration Siemens Healthineers Ltd.  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