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Journal Abstract Search


185 related items for PubMed ID: 38725034

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  • 5. Pancreatic Ductal Adenocarcinoma at CT: A Combined Nomogram Model to Preoperatively Predict Cancer Stage and Survival Outcome.
    Cen C, Liu L, Li X, Wu A, Liu H, Wang X, Wu H, Wang C, Han P, Wang S.
    Front Oncol; 2021; 11():594510. PubMed ID: 34109107
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  • 7. Dual-layer spectral detector CT: A noninvasive preoperative tool for predicting histopathological differentiation in pancreatic ductal adenocarcinoma.
    Liu W, Xie T, Chen L, Tang W, Zhang Z, Wang Y, Deng W, Xie X, Zhou Z.
    Eur J Radiol; 2024 Apr; 173():111327. PubMed ID: 38330535
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  • 8. Radiomics nomogram for the preoperative prediction of lymph node metastasis in pancreatic ductal adenocarcinoma.
    Bian Y, Guo S, Jiang H, Gao S, Shao C, Cao K, Fang X, Li J, Wang L, Ma C, Zheng J, Jin G, Lu J.
    Cancer Imaging; 2022 Jan 06; 22(1):4. PubMed ID: 34991733
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  • 10. Dual-energy CT-based radiomics nomogram in predicting histological differentiation of head and neck squamous carcinoma: a multicenter study.
    Li Z, Liu Z, Guo Y, Wang S, Qu X, Li Y, Pan Y, Zhang L, Su D, Yang Q, Tao X, Yue Q, Xian J.
    Neuroradiology; 2022 Feb 06; 64(2):361-369. PubMed ID: 34860278
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  • 11. Machine learning model to preoperatively predict T2/T3 staging of laryngeal and hypopharyngeal cancer based on the CT radiomic signature.
    Liu Q, Liu S, Mao Y, Kang X, Yu M, Chen G.
    Eur Radiol; 2024 Aug 06; 34(8):5349-5359. PubMed ID: 38206403
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  • 12. Computed Tomography-based Radiomics Evaluation of Postoperative Local Recurrence of Pancreatic Ductal Adenocarcinoma.
    He M, Chen X, Wels M, Lades F, Li Y, Liu Z, Jin Z, Xue H.
    Acad Radiol; 2023 Apr 06; 30(4):680-688. PubMed ID: 35906151
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  • 13. Optimal conspicuity of pancreatic ductal adenocarcinoma in virtual monochromatic imaging reconstructions on a photon-counting detector CT: comparison to conventional MDCT.
    Decker JA, Becker J, Härting M, Jehs B, Risch F, Canalini L, Wollny C, Scheurig-Muenkler C, Kroencke T, Schwarz F, Bette S.
    Abdom Radiol (NY); 2024 Jan 06; 49(1):103-116. PubMed ID: 37796327
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  • 14. Utility of Dark-Blood Dual-Energy CT Images for Predicting Vascular Involvement and R0 Resection in Patients With Pancreatic Cancer.
    Si K, Wu H, Yang M, Guo Y, Zhang X, Ding C, Xue J, Han P, Li X.
    AJR Am J Roentgenol; 2023 Jun 06; 220(6):838-848. PubMed ID: 36541594
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  • 15. Feasibility of a CT-based lymph node radiomics nomogram in detecting lymph node metastasis in PDAC patients.
    Li Q, Song Z, Zhang D, Li X, Liu Q, Yu J, Li Z, Zhang J, Ren X, Wen Y, Tang Z.
    Front Oncol; 2022 Jun 06; 12():992906. PubMed ID: 36276058
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  • 16. Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades.
    Zheng Z, Chen Z, Xie Y, Zhong Q, Xie W.
    Eur Radiol; 2021 Aug 06; 31(8):6078-6086. PubMed ID: 33515086
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  • 17. Magnetic Resonance Imaging Radiomics-Based Nomogram From Primary Tumor for Pretreatment Prediction of Peripancreatic Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma: A Multicenter Study.
    Shi Z, Ma C, Huang X, Cao D.
    J Magn Reson Imaging; 2022 Mar 06; 55(3):823-839. PubMed ID: 34997795
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  • 18. Contrast-enhanced CT radiomics for predicting lymph node metastasis in pancreatic ductal adenocarcinoma: a pilot study.
    Li K, Yao Q, Xiao J, Li M, Yang J, Hou W, Du M, Chen K, Qu Y, Li L, Li J, Wang X, Luo H, Yang J, Zhang Z, Chen W.
    Cancer Imaging; 2020 Jan 30; 20(1):12. PubMed ID: 32000852
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  • 19. Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma.
    An C, Li D, Li S, Li W, Tong T, Liu L, Jiang D, Jiang L, Ruan G, Hai N, Fu Y, Wang K, Zhuo S, Tian J.
    Eur J Nucl Med Mol Imaging; 2022 Mar 30; 49(4):1187-1199. PubMed ID: 34651229
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  • 20. Development and validation of a contrast-enhanced CT-based radiomics nomogram for preoperative diagnosis in neuroendocrine carcinoma of digestive system.
    Xu L, Yang X, Xiang W, Hu P, Zhang X, Li Z, Li Y, Liu Y, Dai Y, Luo Y, Qiu H.
    Front Endocrinol (Lausanne); 2023 Mar 30; 14():1155307. PubMed ID: 37124722
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