<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>12</volume><submitter>Kulanthaivelu R</submitter><pubmed_abstract>&lt;h4>Purpose&lt;/h4>Radiomics is an emerging imaging assessment technique that has shown promise in predicting survival among nasopharyngeal carcinoma (NPC) patients. Studies so far have focused on PET or MR-based radiomics independently. The aim of our study was to evaluate the prognostic value of clinical and radiomic parameters derived from both PET/CT and MR.&lt;h4>Methods&lt;/h4>Retrospective evaluation of 124 NPC patients with PET/CT and radiotherapy planning MR (RP-MR). Primary tumors were segmented using dedicated software (LIFEx version 6.1) from PET, CT, contrast-enhanced T1-weighted (T1-w), and T2-weighted (T2-w) MR sequences with 376 radiomic features extracted. Summary statistics describe patient, disease, and treatment characteristics. The Kaplan-Meier (KM) method estimates overall survival (OS) and progression-free survival (PFS). Clinical factors selected based on univariable analysis and the multivariable Cox model were subsequently constructed with radiomic features added.&lt;h4>Results&lt;/h4>The final models comparing clinical, clinical + RP-MR, clinical + PET/CT and clinical + RP-MR + PET/CT for OS and PFS demonstrated that combined radiomic signatures were significantly associated with improved survival prognostication (AUC 0.62 &lt;i>vs&lt;/i> 0.81 &lt;i>vs&lt;/i> 0.75 &lt;i>vs&lt;/i> 0.86 at 21 months for PFS and 0.56 &lt;i>vs&lt;/i> 0.85 &lt;i>vs&lt;/i> 0.79 &lt;i>vs&lt;/i> 0.96 at 24 months for OS). Clinical + RP-MR features initially outperform clinical + PET/CT for both OS and PFS (&lt;18 months), and later in the clinical course for PFS (>42 months).&lt;h4>Conclusion&lt;/h4>Our study demonstrated that PET/CT-based radiomic features may improve survival prognostication among NPC patients when combined with baseline clinical and MR-based radiomic features.</pubmed_abstract><journal>Frontiers in oncology</journal><pagination>952763</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9638017</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Prognostic value of PET/CT and MR-based baseline radiomics among patients with non-metastatic nasopharyngeal carcinoma.</pubmed_title><pmcid>PMC9638017</pmcid><pubmed_authors>Hope A</pubmed_authors><pubmed_authors>Liu ZA</pubmed_authors><pubmed_authors>Ortega C</pubmed_authors><pubmed_authors>Kulanthaivelu R</pubmed_authors><pubmed_authors>Kohan A</pubmed_authors><pubmed_authors>Veit-Haibach P</pubmed_authors><pubmed_authors>Huang SH</pubmed_authors><pubmed_authors>Waldron J</pubmed_authors><pubmed_authors>Hinzpeter R</pubmed_authors><pubmed_authors>O'Sullivan B</pubmed_authors><pubmed_authors>Metser U</pubmed_authors></additional><is_claimable>false</is_claimable><name>Prognostic value of PET/CT and MR-based baseline radiomics among patients with non-metastatic nasopharyngeal carcinoma.</name><description>&lt;h4>Purpose&lt;/h4>Radiomics is an emerging imaging assessment technique that has shown promise in predicting survival among nasopharyngeal carcinoma (NPC) patients. Studies so far have focused on PET or MR-based radiomics independently. The aim of our study was to evaluate the prognostic value of clinical and radiomic parameters derived from both PET/CT and MR.&lt;h4>Methods&lt;/h4>Retrospective evaluation of 124 NPC patients with PET/CT and radiotherapy planning MR (RP-MR). Primary tumors were segmented using dedicated software (LIFEx version 6.1) from PET, CT, contrast-enhanced T1-weighted (T1-w), and T2-weighted (T2-w) MR sequences with 376 radiomic features extracted. Summary statistics describe patient, disease, and treatment characteristics. The Kaplan-Meier (KM) method estimates overall survival (OS) and progression-free survival (PFS). Clinical factors selected based on univariable analysis and the multivariable Cox model were subsequently constructed with radiomic features added.&lt;h4>Results&lt;/h4>The final models comparing clinical, clinical + RP-MR, clinical + PET/CT and clinical + RP-MR + PET/CT for OS and PFS demonstrated that combined radiomic signatures were significantly associated with improved survival prognostication (AUC 0.62 &lt;i>vs&lt;/i> 0.81 &lt;i>vs&lt;/i> 0.75 &lt;i>vs&lt;/i> 0.86 at 21 months for PFS and 0.56 &lt;i>vs&lt;/i> 0.85 &lt;i>vs&lt;/i> 0.79 &lt;i>vs&lt;/i> 0.96 at 24 months for OS). Clinical + RP-MR features initially outperform clinical + PET/CT for both OS and PFS (&lt;18 months), and later in the clinical course for PFS (>42 months).&lt;h4>Conclusion&lt;/h4>Our study demonstrated that PET/CT-based radiomic features may improve survival prognostication among NPC patients when combined with baseline clinical and MR-based radiomic features.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022</publication><modification>2025-04-19T23:15:04.97Z</modification><creation>2025-02-19T00:31:33.33Z</creation></dates><accession>S-EPMC9638017</accession><cross_references><pubmed>36353565</pubmed><doi>10.3389/fonc.2022.952763</doi></cross_references></HashMap>