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Journal Abstract Search
541 related items for PubMed ID: 33757460
1. Integrating No.3 lymph nodes and primary tumor radiomics to predict lymph node metastasis in T1-2 gastric cancer. Wang X, Li C, Fang M, Zhang L, Zhong L, Dong D, Tian J, Shan X. BMC Med Imaging; 2021 Mar 23; 21(1):58. PubMed ID: 33757460 [Abstract] [Full Text] [Related]
2. CT-based radiomics nomogram for preoperative prediction of No.10 lymph nodes metastasis in advanced proximal gastric cancer. Wang L, Gong J, Huang X, Lin G, Zheng B, Chen J, Xie J, Lin R, Duan Q, Lin W. Eur J Surg Oncol; 2021 Jun 23; 47(6):1458-1465. PubMed ID: 33261951 [Abstract] [Full Text] [Related]
3. CT radiomics nomogram for the preoperative prediction of lymph node metastasis in gastric cancer. Wang Y, Liu W, Yu Y, Liu JJ, Xue HD, Qi YF, Lei J, Yu JC, Jin ZY. Eur Radiol; 2020 Feb 23; 30(2):976-986. PubMed ID: 31468157 [Abstract] [Full Text] [Related]
4. A Comprehensive Nomogram Combining CT Imaging with Clinical Features for Prediction of Lymph Node Metastasis in Stage I-IIIB Non-small Cell Lung Cancer. Zheng X, Shao J, Zhou L, Wang L, Ge Y, Wang G, Feng F. Ther Innov Regul Sci; 2022 Jan 23; 56(1):155-167. PubMed ID: 34699046 [Abstract] [Full Text] [Related]
5. Predictive nomogram for lymph node metastasis and survival in gastric cancer using contrast-enhanced computed tomography-based radiomics: a retrospective study. Zhang W, Wang S, Dong Q, Chen W, Wang P, Zhu G, Chen X, Cai Y. PeerJ; 2024 Jan 23; 12():e17111. PubMed ID: 38525272 [Abstract] [Full Text] [Related]
9. Radiomics signature based on computed tomography images for the preoperative prediction of lymph node metastasis at individual stations in gastric cancer: A multicenter study. Sun Z, Jiang Y, Chen C, Zheng H, Huang W, Xu B, Tang W, Yuan Q, Zhou K, Liang X, Chen H, Han Z, Feng H, Yu S, Hu Y, Yu J, Zhou Z, Wang W, Xu Y, Li G. Radiother Oncol; 2021 Dec 23; 165():179-190. PubMed ID: 34774652 [Abstract] [Full Text] [Related]
10. Nomogram Based on Shear-Wave Elastography Radiomics Can Improve Preoperative Cervical Lymph Node Staging for Papillary Thyroid Carcinoma. Jiang M, Li C, Tang S, Lv W, Yi A, Wang B, Yu S, Cui X, Dietrich CF. Thyroid; 2020 Jun 23; 30(6):885-897. PubMed ID: 32027225 [Abstract] [Full Text] [Related]
11. Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer. Li J, Dong D, Fang M, Wang R, Tian J, Li H, Gao J. Eur Radiol; 2020 Apr 23; 30(4):2324-2333. PubMed ID: 31953668 [Abstract] [Full Text] [Related]
12. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymph Node Metastasis in Early-Stage Cervical Cancer. Xiao M, Ma F, Li Y, Li Y, Li M, Zhang G, Qiang J. J Magn Reson Imaging; 2020 Sep 23; 52(3):885-896. PubMed ID: 32096586 [Abstract] [Full Text] [Related]
13. Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer. Han L, Zhu Y, Liu Z, Yu T, He C, Jiang W, Kan Y, Dong D, Tian J, Luo Y. Eur Radiol; 2019 Jul 23; 29(7):3820-3829. PubMed ID: 30701328 [Abstract] [Full Text] [Related]
14. A computed tomography-based radiomic nomogram for predicting lymph node metastasis in patients with early-stage papillary thyroid carcinoma. Lai L, Guan Q, Liang Y, Chen J, Liao Y, Xu H, Wei X. Acta Radiol; 2022 Sep 23; 63(9):1187-1195. PubMed ID: 34859689 [Abstract] [Full Text] [Related]
15. Radiomics from dual-energy CT-derived iodine maps predict lymph node metastasis in head and neck squamous cell carcinoma. Zhang W, Liu J, Jin W, Li R, Xie X, Zhao W, Xia S, Han D. Radiol Med; 2024 Feb 23; 129(2):252-267. PubMed ID: 38015363 [Abstract] [Full Text] [Related]
17. Ultrasound-Based Radiomic Nomogram for Predicting Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma. Tong Y, Li J, Huang Y, Zhou J, Liu T, Guo Y, Yu J, Zhou S, Wang Y, Chang C. Acad Radiol; 2021 Dec 23; 28(12):1675-1684. PubMed ID: 32782219 [Abstract] [Full Text] [Related]
18. Radiomic analysis for preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma. Lu W, Zhong L, Dong D, Fang M, Dai Q, Leng S, Zhang L, Sun W, Tian J, Zheng J, Jin Y. Eur J Radiol; 2019 Sep 23; 118():231-238. PubMed ID: 31439247 [Abstract] [Full Text] [Related]