{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T15:05:30Z","timestamp":1790348730190,"version":"4.1.0"},"reference-count":52,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T00:00:00Z","timestamp":1781654400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T00:00:00Z","timestamp":1781654400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Precision Radiation Oncology"],"published-print":{"date-parts":[[2026,9]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>To develop and validate a nomogram integrating radiomic features, white matter hyperintensity (WMH) grading, and clinical factors for predicting overall survival (OS) in patients with non\u2010small cell lung cancer (NSCLC) and brain metastases (BMs) receiving whole\u2010brain radiotherapy (WBRT).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>One hundred and forty\u2010nine patients with BMs were enrolled. A radiomic score (Rad\u2010score) was developed based on features identified by univariate Cox regression and least absolute shrinkage and selection operator Cox modeling. WMH was graded using the Fazekas scale, into mild\u2010 and extensive\u2010burden groups. Cox proportional hazard models incorporating different combinations of these features were developed and compared. A nomogram was constructed by integrating the Rad\u2010score, WMH grade, and independent clinical variables, and its performance was evaluated using receiver operating characteristic (ROC) analysis, decision curve analysis (DCA), and calibration plots.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Twelve radiomic features were identified. Both the Rad\u2010score (hazard ratio (\n                      <jats:italic>HR<\/jats:italic>\n                      ) = 1.072;\n                      <jats:italic>p<\/jats:italic>\n                      \u00a0&lt; 0.001) and WMH grade (\n                      <jats:italic>HR<\/jats:italic>\n                      = 2.420;\n                      <jats:italic>p<\/jats:italic>\n                      &lt; 0.001) independently and significantly predicted OS. Significant improvements in model fit followed the inclusion of these variables (\n                      <jats:italic>p<\/jats:italic>\n                      &lt; 0.01). The integrated nomogram outperformed the single\u2010feature models, yielding area under the curves (AUCs) of 0.820, 0.900, and 0.889 for 1\u2010, 2\u2010, and 3\u2010year OS, respectively, with a concordance index (C\u2010index) of 0.706 (95%\n                      <jats:italic>CI<\/jats:italic>\n                      : 0.598\u20130.815). Calibration plots and DCA further supported the predictive accuracy and clinical utility.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The radiomics\u2010 and WMH grading\u2010based nomogram represents a potential prognostic tool for patients with NSCLC and BMs receiving WBRT.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/pro6.70077","type":"journal-article","created":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T10:50:54Z","timestamp":1781693454000},"page":"356-370","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Nomogram integrating MRI radiomics and white matter hyperintensity grading for predicting overall survival in patients with non\u2010small cell lung cancer and brain metastases receiving whole\u2010brain radiotherapy"],"prefix":"10.1002","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-1939-6833","authenticated-orcid":false,"given":"Jianan","family":"Ni","sequence":"first","affiliation":[{"name":"Department of Radiology The First Affiliated Hospital of Wenzhou Medical University  Wenzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuefeng","family":"Lu","sequence":"additional","affiliation":[{"name":"Department of Radiology The First Affiliated Hospital of Wenzhou Medical University  Wenzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoli","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Radiology The First Affiliated Hospital of Wenzhou Medical University  Wenzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xuni","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Radiology Shaoxing Central Hospital  Shaoxing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengjing","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Radiology The First Affiliated Hospital of Wenzhou Medical University  Wenzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3201-0700","authenticated-orcid":false,"given":"Yingnan","family":"Xue","sequence":"additional","affiliation":[{"name":"Department of Radiology The First Affiliated Hospital of Wenzhou Medical University  Wenzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3859-3281","authenticated-orcid":false,"given":"Gang","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Chemoradiation Oncology The First Affiliated Hospital of Wenzhou Medical University  Wenzhou 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