16th Annual International Conference RGCON10.1055/s-0039-16853332016Study of factors to predict recurrence in early stage endometrial cancerShruti Bhatia, S. K. Das
Cancer10.1002/cncr.23717200811361431-1437Racial disparities in recurrence among patients with early-stage endometrial cancerG. Larry Maxwell, Chunqiao Tian, John I. Risinger, Chad A. Hamilton, Richard R. Barakat,,
10.21203/ learning radiomics for predicting recurrence risk in patients with early-stage invasive breast cancerHerui Yao, Yunfang Yu, Wei Ren, Zifan He, Yongjian Chen, Yujie Tan, Jingwen Liu, Anlin Li, Nian Lu, Jie Ouyang, Yaping Yang, Kai Chen, Chenchen Li, Mudi Ma, Xiaohong Li, Rong Zhang, Zhuo Wu, Fengxi Su Su, Qiugen Hu, Chuan-Miao Xie, Erwei Song,
Gynecologic Oncology10.1016/j.ygyno.2011.07.01420111232205-207Recurrence patterns and surveillance for patients with early stage endometrial cancerRitu Salani, Christa I. Nagel, Erica Drennen, Robert E. Bristow,
European Journal of Cancer Care10.1111/ecc.121152013233380-384The impact of lymph vascular space invasion on recurrence and survival in patients with early stage endometrial cancerV. Loizzi, G. Cormio, M. Lorusso, D. Latorre, M. Falagario, P. Demitri, D. Scardigno, L.E. Selvaggi,
Gynecologic Oncology10.1016/j.ygyno.2017.03.4172017145183Analysis of clinicopathologic factors predicting disease recurrence in lymph node-negative early-stage endometrial cancer patients who underwent comprehensive surgical stagingT.W. Kong, J.H. Son, K.H. Song, J. Paek, S.J. Chang, H.S. Ryu,
Frontiers in Oncology10.3389/fonc.2020.586081202110A Nomogram Model Involving Immunohistochemical Markers for Predicting the Recurrence of Stage I-II Endometrial CancerPeng Jiang, Mingzhu Jia, Jing Hu, Zhen Huang, Ying Deng, Zhuoying Hu
Lung Cancer10.1016/0169-5002(94)90903-21994105-6429A pilot study about efficacy of immunostimulating therapy in patients radically operated for non small cell lung cancer (stage I). Early results,
Gastroenterology10.1016/s0016-5085(20)32627-520201586S-782-S-783Mo1083 MACHINE LEARNING-BASED PREDICTIVE MODELS ARE MORE ACCURATE THAN TNM STAGE IN PREDICTING SURVIVAL IN PATIENTS WITH GASTRIC CANCERAmit Das, Sonmoon Mohapatra, Saowanee Ngamruengphong,
Current Concepts in Endometrial Cancer10.1007/978-981-10-3108-3_6201755-66Surgical Management of Early-Stage Endometrial CancerHemant Tongaonkar, Samar Gupte, Devyani Mahajan, Jyoti Kulkarni