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436 related items for PubMed ID: 38206403
1. 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; 34(8):5349-5359. PubMed ID: 38206403 [Abstract] [Full Text] [Related]
2. CT-based radiomics features in the prediction of thyroid cartilage invasion from laryngeal and hypopharyngeal squamous cell carcinoma. Guo R, Guo J, Zhang L, Qu X, Dai S, Peng R, Chong VFH, Xian J. Cancer Imaging; 2020 Nov 11; 20(1):81. PubMed ID: 33176885 [Abstract] [Full Text] [Related]
3. 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 11; 34(5):2934-2943. PubMed ID: 37938382 [Abstract] [Full Text] [Related]
4. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study. Li J, Wu X, Mao N, Zheng G, Zhang H, Mou Y, Jia C, Mi J, Song X. Front Endocrinol (Lausanne); 2021 May 11; 12():741698. PubMed ID: 34745008 [Abstract] [Full Text] [Related]
5. [Radiomics nomogram of MR: a prediction of cervical lymph node metastasis in laryngeal cancer]. Jia CL, Cao Y, Song Q, Zhang WB, Li JJ, Wu XX, Yu PY, Mou YK, Mao N, Song XC. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi; 2020 Dec 07; 55(12):1154-1161. PubMed ID: 33342131 [Abstract] [Full Text] [Related]
6. 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 07; 31(8):6078-6086. PubMed ID: 33515086 [Abstract] [Full Text] [Related]
7. 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 07; 31(5):1805-1817. PubMed ID: 38071100 [Abstract] [Full Text] [Related]
8. CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study. Gu D, Hu Y, Ding H, Wei J, Chen K, Liu H, Zeng M, Tian J. Eur Radiol; 2019 Dec 07; 29(12):6880-6890. PubMed ID: 31227882 [Abstract] [Full Text] [Related]
9. Intratumoral and peritumoral radiomics analysis for preoperative Lauren classification in gastric cancer. Wang XX, Ding Y, Wang SW, Dong D, Li HL, Chen J, Hu H, Lu C, Tian J, Shan XH. Cancer Imaging; 2020 Nov 23; 20(1):83. PubMed ID: 33228815 [Abstract] [Full Text] [Related]
10. Prediction of microvascular invasion in hepatocellular carcinoma patients with MRI radiomics based on susceptibility weighted imaging and T2-weighted imaging. Geng Z, Wang S, Ma L, Zhang C, Guan Z, Zhang Y, Yin S, Lian S, Xie C. Radiol Med; 2024 Aug 23; 129(8):1130-1142. PubMed ID: 38997568 [Abstract] [Full Text] [Related]
11. Applying a nomogram based on preoperative CT to predict early recurrence of laryngeal squamous cell carcinoma after surgery. Yao Y, Jia C, Zhang H, Mou Y, Wang C, Han X, Yu P, Mao N, Song X. J Xray Sci Technol; 2023 Aug 23; 31(3):435-452. PubMed ID: 36806538 [Abstract] [Full Text] [Related]
12. Radiomic Nomogram for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Therapy in Breast Cancer: Predictive Value of Staging Contrast-enhanced CT. Huang X, Mai J, Huang Y, He L, Chen X, Wu X, Li Y, Yang X, Dong M, Huang J, Zhang F, Liang C, Liu Z. Clin Breast Cancer; 2021 Aug 23; 21(4):e388-e401. PubMed ID: 33451965 [Abstract] [Full Text] [Related]
13. 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 Aug 23; 14():1155307. PubMed ID: 37124722 [Abstract] [Full Text] [Related]
14. Preoperative prediction for lauren type of gastric cancer: A radiomics nomogram analysis based on CT images and clinical features. Sun Z, Jin L, Zhang S, Duan S, Xing W, Hu S. J Xray Sci Technol; 2021 Aug 23; 29(4):675-686. PubMed ID: 34024809 [Abstract] [Full Text] [Related]
15. Evaluation of CT-based radiomics signature and nomogram as prognostic markers in patients with laryngeal squamous cell carcinoma. Chen L, Wang H, Zeng H, Zhang Y, Ma X. Cancer Imaging; 2020 Apr 22; 20(1):28. PubMed ID: 32321585 [Abstract] [Full Text] [Related]
16. A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer. Luo HS, Huang SF, Xu HY, Li XY, Wu SX, Wu DH. Radiat Oncol; 2020 Oct 29; 15(1):249. PubMed ID: 33121507 [Abstract] [Full Text] [Related]
19. Computed tomography-based radiomics nomogram for prediction of lympho-vascular and perineural invasion in esophageal squamous cell cancer patients: a retrospective cohort study. Tang B, Wu F, Peng L, Leng X, Han Y, Wang Q, Wu J, Orlandini LC. Cancer Imaging; 2024 Oct 04; 24(1):131. PubMed ID: 39367492 [Abstract] [Full Text] [Related]
20. A combination of radiomic features, clinic characteristics, and serum tumor biomarkers to predict the possibility of the micropapillary/solid component of lung adenocarcinoma. Xing X, Li L, Sun M, Zhu X, Feng Y. Ther Adv Respir Dis; 2024 Oct 04; 18():17534666241249168. PubMed ID: 38757628 [Abstract] [Full Text] [Related] Page: [Next] [New Search]