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Journal Abstract Search
215 related items for PubMed ID: 33892676
1. A genomic-clinicopathologic Nomogram for the preoperative prediction of lymph node metastasis in gastric cancer. Zhong X, Xuan F, Qian Y, Pan J, Wang S, Chen W, Lin T, Zhu H, Wang X, Wang G. BMC Cancer; 2021 Apr 23; 21(1):455. PubMed ID: 33892676 [Abstract] [Full Text] [Related]
4. Development of a preoperative prediction nomogram for lymph node metastasis in colorectal cancer based on a novel serum miRNA signature and CT scans. Qu A, Yang Y, Zhang X, Wang W, Liu Y, Zheng G, Du L, Wang C. EBioMedicine; 2018 Nov 23; 37():125-133. PubMed ID: 30314890 [Abstract] [Full Text] [Related]
7. Construction and Validation of a Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Gastric Cancer. Li S, Zhao Z, Yang H, Wang D, Sun W, Li S, Zhang Z, Fu W. Cancer Control; 2021 Nov 23; 28():10732748211027160. PubMed ID: 34155937 [Abstract] [Full Text] [Related]
8. A Genomic-clinicopathologic Nomogram for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer. Wu SX, Huang J, Liu ZW, Chen HG, Guo P, Cai QQ, Zheng JJ, Qin HD, Zheng ZS, Chen X, Zhang RY, Chen SL, Lin TX. EBioMedicine; 2018 May 23; 31():54-65. PubMed ID: 29655996 [Abstract] [Full Text] [Related]
9. [Establishment and validation of a predictive nomogram model for advanced gastric cancer with perineural invasion]. Liu SH, Hou XY, Zhang XX, Liu GW, Xin FJ, Wang JG, Zhang DL, Wang DS, Lu Y. Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Nov 25; 23(11):1059-1066. PubMed ID: 33212554 [Abstract] [Full Text] [Related]
10. 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]
11. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer. Yu Y, Tan Y, Xie C, Hu Q, Ouyang J, Chen Y, Gu Y, Li A, Lu N, He Z, Yang Y, Chen K, Ma J, Li C, Ma M, Li X, Zhang R, Zhong H, Ou Q, Zhang Y, He Y, Li G, Wu Z, Su F, Song E, Yao H. JAMA Netw Open; 2020 Dec 01; 3(12):e2028086. PubMed ID: 33289845 [Abstract] [Full Text] [Related]
12. Development and Validation of an MRI-Based Radiomics Signature for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer. Wu S, Zheng J, Li Y, Wu Z, Shi S, Huang M, Yu H, Dong W, Huang J, Lin T. EBioMedicine; 2018 Aug 01; 34():76-84. PubMed ID: 30078735 [Abstract] [Full Text] [Related]
13. Immune Landscape of Gastric Carcinoma Tumor Microenvironment Identifies a Peritoneal Relapse Relevant Immune Signature. Zhang C, Li D, Yu R, Li C, Song Y, Chen X, Fan Y, Liu Y, Qu X. Front Immunol; 2021 Aug 01; 12():651033. PubMed ID: 34054812 [Abstract] [Full Text] [Related]
15. Development and validation of a nomogram for preoperative prediction of lymph node metastasis in early gastric cancer. Yin XY, Pang T, Liu Y, Cui HT, Luo TH, Lu ZM, Xue XC, Fang GE. World J Surg Oncol; 2020 Jan 02; 18(1):2. PubMed ID: 31898548 [Abstract] [Full Text] [Related]
16. Preoperative prediction of pelvic lymph nodes metastasis in early-stage cervical cancer using radiomics nomogram developed based on T2-weighted MRI and diffusion-weighted imaging. Wang T, Gao T, Yang J, Yan X, Wang Y, Zhou X, Tian J, Huang L, Zhang M. Eur J Radiol; 2019 May 02; 114():128-135. PubMed ID: 31005162 [Abstract] [Full Text] [Related]
17. Construction of an immune-related genes nomogram for the preoperative prediction of axillary lymph node metastasis in triple-negative breast cancer. Tan W, Xie X, Huang Z, Chen L, Tang W, Zhu R, Ye X, Zhang X, Pan L, Gao J, Tang H, Zheng W. Artif Cells Nanomed Biotechnol; 2020 Dec 02; 48(1):288-297. PubMed ID: 31858816 [Abstract] [Full Text] [Related]
18. Radiomics nomogram outperforms size criteria in discriminating lymph node metastasis in resectable esophageal squamous cell carcinoma. Tan X, Ma Z, Yan L, Ye W, Liu Z, Liang C. Eur Radiol; 2019 Jan 02; 29(1):392-400. PubMed ID: 29922924 [Abstract] [Full Text] [Related]