The value of PET/CT radiomics for predicting survival outcomes in patients with pancreatic ductal adenocarcinoma
Abstract Pancreatic ductal adenocarcinoma (PDAC) is associated with poor prognosis even without distant metastases, necessitating in-depth characterization of primary tumors for survival prediction. We assessed the feasibility of using FDG-PET/CT radiomics to predict overall survival (OS) in PDAC. T...
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Nature Portfolio
2024-11-01
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| author | Yeon-koo Kang Seunggyun Ha Ji Bong Jeong So Won Oh |
| author_facet | Yeon-koo Kang Seunggyun Ha Ji Bong Jeong So Won Oh |
| author_sort | Yeon-koo Kang |
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| description | Abstract Pancreatic ductal adenocarcinoma (PDAC) is associated with poor prognosis even without distant metastases, necessitating in-depth characterization of primary tumors for survival prediction. We assessed the feasibility of using FDG-PET/CT radiomics to predict overall survival (OS) in PDAC. This retrospective study included PDAC patients without distant metastasis who underwent FDG-PET/CT for initial staging. Primary tumors were segmented from FDG-PET/CT images, extracting 222 radiomics features. A radiomics-based risk score (Rad-score) was developed using Cox proportional hazards regression with LASSO to predict OS. The prognostic performance of the Rad-score was compared with a clinical model (demographics, disease stage, laboratory results) using Harrell’s concordance index (C-index) and bootstrapping. 140 patients were included, with a mortality rate was 72.9% during follow-up (total population, 19.5 ± 19.2 months; survivors, 34.4 ± 28.8 months). Eleven radiomics features were significant for survival prediction. The Rad-score predicted OS with a C-index of 0.681 [95% CI, 0.632–0.731]. A model integrating clinical parameters and Rad-score outperformed the clinical-only model in predicting OS (C-index 0.740 [0.715–0.816] vs. 0.673 [0.650–0.766]; C-index difference 0.067 [0.014–0.113]; P < 0.001). These findings suggest that incorporating FDG-PET/CT radiomics into preexisting prognotic stratification paradiagm may enhance survival prediction in PDAC, warranting large-scale studies to confirm its applicability in clinical practice. |
| format | Article |
| id | doaj-art-ea66fd4d4de840f299c32cc00e3b0023 |
| institution | OA Journals |
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| spelling | doaj-art-ea66fd4d4de840f299c32cc00e3b00232025-08-20T02:22:26ZengNature PortfolioScientific Reports2045-23222024-11-011411910.1038/s41598-024-77022-4The value of PET/CT radiomics for predicting survival outcomes in patients with pancreatic ductal adenocarcinomaYeon-koo Kang0Seunggyun Ha1Ji Bong Jeong2So Won Oh3Department of Nuclear Medicine, Seoul National University Hospital, Seoul National University College of MedicineDivision of Nuclear Medicine, Department of Radiology, Seoul St. Mary’s Hospital, The Catholic University of Korea College of MedicineDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, Seoul National University College of MedicineDepartment of Nuclear Medicine, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, Seoul National University College of MedicineAbstract Pancreatic ductal adenocarcinoma (PDAC) is associated with poor prognosis even without distant metastases, necessitating in-depth characterization of primary tumors for survival prediction. We assessed the feasibility of using FDG-PET/CT radiomics to predict overall survival (OS) in PDAC. This retrospective study included PDAC patients without distant metastasis who underwent FDG-PET/CT for initial staging. Primary tumors were segmented from FDG-PET/CT images, extracting 222 radiomics features. A radiomics-based risk score (Rad-score) was developed using Cox proportional hazards regression with LASSO to predict OS. The prognostic performance of the Rad-score was compared with a clinical model (demographics, disease stage, laboratory results) using Harrell’s concordance index (C-index) and bootstrapping. 140 patients were included, with a mortality rate was 72.9% during follow-up (total population, 19.5 ± 19.2 months; survivors, 34.4 ± 28.8 months). Eleven radiomics features were significant for survival prediction. The Rad-score predicted OS with a C-index of 0.681 [95% CI, 0.632–0.731]. A model integrating clinical parameters and Rad-score outperformed the clinical-only model in predicting OS (C-index 0.740 [0.715–0.816] vs. 0.673 [0.650–0.766]; C-index difference 0.067 [0.014–0.113]; P < 0.001). These findings suggest that incorporating FDG-PET/CT radiomics into preexisting prognotic stratification paradiagm may enhance survival prediction in PDAC, warranting large-scale studies to confirm its applicability in clinical practice.https://doi.org/10.1038/s41598-024-77022-4FDG-PET/CTPancreas cancerRadiomicsSurvival |
| spellingShingle | Yeon-koo Kang Seunggyun Ha Ji Bong Jeong So Won Oh The value of PET/CT radiomics for predicting survival outcomes in patients with pancreatic ductal adenocarcinoma Scientific Reports FDG-PET/CT Pancreas cancer Radiomics Survival |
| title | The value of PET/CT radiomics for predicting survival outcomes in patients with pancreatic ductal adenocarcinoma |
| title_full | The value of PET/CT radiomics for predicting survival outcomes in patients with pancreatic ductal adenocarcinoma |
| title_fullStr | The value of PET/CT radiomics for predicting survival outcomes in patients with pancreatic ductal adenocarcinoma |
| title_full_unstemmed | The value of PET/CT radiomics for predicting survival outcomes in patients with pancreatic ductal adenocarcinoma |
| title_short | The value of PET/CT radiomics for predicting survival outcomes in patients with pancreatic ductal adenocarcinoma |
| title_sort | value of pet ct radiomics for predicting survival outcomes in patients with pancreatic ductal adenocarcinoma |
| topic | FDG-PET/CT Pancreas cancer Radiomics Survival |
| url | https://doi.org/10.1038/s41598-024-77022-4 |
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