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429 related items for PubMed ID: 37938382
1. Development of a CT radiomics nomogram for preoperative prediction of Ki-67 index in pancreatic ductal adenocarcinoma: a two-center retrospective study. Li Q, Song Z, Li X, Zhang D, Yu J, Li Z, Huang J, Su K, Liu Q, Zhang X, Tang Z. Eur Radiol; 2024 May; 34(5):2934-2943. PubMed ID: 37938382 [Abstract] [Full Text] [Related]
2. A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinoma. Wu L, Cen C, Yue X, Chen L, Wu H, Yang M, Lu Y, Ma L, Li X, Wu H, Zheng C, Han P. Cancer Imaging; 2024 May 09; 24(1):55. PubMed ID: 38725034 [Abstract] [Full Text] [Related]
5. Development and validation of a clinicoradiomic nomogram to assess the HER2 status of patients with invasive ductal carcinoma. Xu A, Chu X, Zhang S, Zheng J, Shi D, Lv S, Li F, Weng X. BMC Cancer; 2022 Aug 10; 22(1):872. PubMed ID: 35945526 [Abstract] [Full Text] [Related]
6. MRI-based radiomics signatures for preoperative prediction of Ki-67 index in primary central nervous system lymphoma. Liu J, Tu J, Xu L, Liu F, Lu Y, He F, Li A, Li Y, Liu S, Xiong J. Eur J Radiol; 2024 Sep 10; 178():111603. PubMed ID: 38976966 [Abstract] [Full Text] [Related]
7. Two nomograms for differentiating mass-forming chronic pancreatitis from pancreatic ductal adenocarcinoma in patients with chronic pancreatitis. Zhang H, Meng Y, Li Q, Yu J, Liu F, Fang X, Li J, Feng X, Zhou J, Zhu M, Li N, Lu J, Shao C, Bian Y. Eur Radiol; 2022 Sep 10; 32(9):6336-6347. PubMed ID: 35394185 [Abstract] [Full Text] [Related]
11. 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 10; 30(4):680-688. PubMed ID: 35906151 [Abstract] [Full Text] [Related]
12. Development and Validation of a Computed Tomography-Based Radiomics Nomogram for the Preoperative Prediction of Central Lymph Node Metastasis in Papillary Thyroid Microcarcinoma. Mou Y, Han X, Li J, Yu P, Wang C, Song Z, Wang X, Zhang M, Zhang H, Mao N, Song X. Acad Radiol; 2024 May 10; 31(5):1805-1817. PubMed ID: 38071100 [Abstract] [Full Text] [Related]
14. Development and validation of a preoperative CT‑based radiomics nomogram to differentiate tuberculosis granulomas from lung adenocarcinomas: an external validation study. Yang L, Jiang Z, Tong J, Li N, Dong Q, Wang K. BMC Cancer; 2024 Jun 01; 24(1):670. PubMed ID: 38824514 [Abstract] [Full Text] [Related]
16. Preoperative prediction of disease-free survival in pancreatic ductal adenocarcinoma patients after R0 resection using contrast-enhanced CT and CA19-9. Li D, Peng Q, Wang L, Cai W, Liang M, Liu S, Ma X, Zhao X. Eur Radiol; 2024 Jan 01; 34(1):509-524. PubMed ID: 37507611 [Abstract] [Full Text] [Related]
18. Prediction of the Ki-67 expression level and prognosis of gastrointestinal stromal tumors based on CT radiomics nomogram. Feng Q, Tang B, Zhang Y, Liu X. Int J Comput Assist Radiol Surg; 2022 Jun 01; 17(6):1167-1175. PubMed ID: 35195831 [Abstract] [Full Text] [Related]
19. Preoperative Prediction of Lymph Node Metastasis of Pancreatic Ductal Adenocarcinoma Based on a Radiomics Nomogram of Dual-Parametric MRI Imaging. Shi L, Wang L, Wu C, Wei Y, Zhang Y, Chen J. Front Oncol; 2022 Jun 01; 12():927077. PubMed ID: 35875061 [Abstract] [Full Text] [Related]
20. Development and validation of a model for predicting the expression of Ki-67 in pancreatic ductal adenocarcinoma with radiological features and dual-energy computed tomography quantitative parameters. Wen Y, Song Z, Li Q, Zhang D, Li X, Yu J, Li Z, Ren X, Zhang J, Liu Q, Huang J, Zeng D, Tang Z. Insights Imaging; 2024 Feb 14; 15(1):41. PubMed ID: 38353857 [Abstract] [Full Text] [Related] Page: [Next] [New Search]