{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T21:00:17Z","timestamp":1790197217329,"version":"4.1.0"},"reference-count":45,"publisher":"American Society of Clinical Oncology (ASCO)","issue":"9","content-domain":{"domain":["ascopubs.org"],"crossmark-restriction":true},"short-container-title":["JCO Precis Oncol"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:sec>\n                    <jats:title>PURPOSE<\/jats:title>\n                    <jats:p>To develop and validate a magnetic resonance fingerprinting (MRF)\u2013based habitat imaging framework for noninvasively decoding intratumoral heterogeneity (ITH) and preoperatively predicting isocitrate dehydrogenase (IDH) mutation status in diffuse gliomas.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>MATERIALS AND METHODS<\/jats:title>\n                    <jats:p>\n                      In this prospective study (January 2024-September 2025), 141 adults with diffuse gliomas (56 IDH-mutant, 85 IDH-wildtype) were enrolled. Tumors were segmented into three habitats via K-means clustering of coregistered MRF-derived T2 and free water maps. A habitat-based radiomic model for IDH status was developed in a training cohort (n = 98) and validated in an independent test cohort (n = 43). Its performance was compared against a conventional whole-tumor model using area under the curve (AUC) and net reclassification improvement (NRI). Pathophysiological validation was performed by correlating habitats with the Ki-67 proliferation index, dynamic contrast-enhanced magnetic resonance imaging (\n                      <jats:italic toggle=\"yes\">K<\/jats:italic>\n                      <jats:sup>\n                        <jats:italic toggle=\"yes\">trans<\/jats:italic>\n                      <\/jats:sup>\n                      ), and apparent diffusion coefficient (ADC). The prognostic value for progression-free survival (PFS) was also assessed.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>\n                      The MRF-habitat model outperformed the whole-tumor model for IDH genotyping (test AUC, 0.819\n                      <jats:italic toggle=\"yes\">v<\/jats:italic>\n                      0.758; NRI, 0.833,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = .003). It identified a prognostically significant subregion (Subregion1) where T2 uniformity was an independent predictor of PFS (hazard ratio: 0.008;\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = .033). Subregion2, a hypoxic-angiogenic niche, correlated with Ki-67 and exhibited higher\n                      <jats:italic toggle=\"yes\">K<\/jats:italic>\n                      <jats:sup>\n                        <jats:italic toggle=\"yes\">trans<\/jats:italic>\n                      <\/jats:sup>\n                      and lower ADC in IDH-wildtype tumors (both\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      &lt; .05). Patients stratified as high-risk by the model had significantly shorter median PFS (5.8 months\n                      <jats:italic toggle=\"yes\">v<\/jats:italic>\n                      not reached,\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      = .043).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSION<\/jats:title>\n                    <jats:p>The MRF-based habitat framework noninvasively decodes ITH, improves preoperative IDH genotyping, and identifies pathophysiologically distinct subregions with prognostic relevance.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1200\/po-26-00243","type":"journal-article","created":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T19:59:13Z","timestamp":1790193553000},"update-policy":"https:\/\/doi.org\/10.1200\/crossmark","source":"Crossref","is-referenced-by-count":0,"title":["Noncontrast Magnetic Resonance Fingerprinting-Habitat Framework for Intratumoral Heterogeneity Decoding and Isocitrate Dehydrogenase Mutation Prediction in Diffuse Gliomas"],"prefix":"10.1200","volume":"10","author":[{"given":"Dandan","family":"Song","sequence":"first","affiliation":[{"name":"Department of Radiology, The First Hospital of China Medical University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Borui","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Hospital of China Medical University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Hospital of China Medical University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peixu","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Hospital of China Medical University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaqin","family":"Mi","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Hospital of China Medical University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Binju","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Hospital of China Medical University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haiyuan","family":"Qu","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Hospital of China Medical University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5680-8102","authenticated-orcid":true,"given":"Yueluan","family":"Jiang","sequence":"additional","affiliation":[{"name":"MR Research Collaboration, Siemens Healthineers, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Song","sequence":"additional","affiliation":[{"name":"MR Research Collaboration, Siemens Healthineers, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengxiu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8942-427X","authenticated-orcid":true,"given":"Guang","family":"Yang","sequence":"additional","affiliation":[{"name":"Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoguang","family":"Fan","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Hospital of China Medical University, Shenyang, 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