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Journal Abstract Search
226 related items for PubMed ID: 27179979
1. Preoperative nomogram for prediction of microscopic parametrial infiltration in patients with FIGO stage IB cervical cancer treated with radical hysterectomy. Kong TW, Kim J, Son JH, Kang SW, Paek J, Chun M, Chang SJ, Ryu HS. Gynecol Oncol; 2016 Jul; 142(1):109-114. PubMed ID: 27179979 [Abstract] [Full Text] [Related]
2. A Preoperative Nomogram for Predicting Chemoresistance to Neoadjuvant Chemotherapy in Patients with Locally Advanced Cervical Squamous Carcinoma Treated with Radical Hysterectomy. Ou Z, Zhao D, Li B, Wang Y, Liu S, Zhang Y. Cancer Res Treat; 2021 Jan; 53(1):233-242. PubMed ID: 32972047 [Abstract] [Full Text] [Related]
3. A Predictive Model for Parametrial Invasion in Patients With FIGO Stage IB Cervical Cancer: Individualized Approach for Primary Treatment. Kong TW, Piao X, Chang SJ, Paek J, Lee Y, Lee EJ, Ryu HS. Int J Gynecol Cancer; 2016 Jan; 26(1):184-91. PubMed ID: 26512782 [Abstract] [Full Text] [Related]
9. Individualized prediction of overall survival after postoperative radiation therapy in patients with early-stage cervical cancer: a Korean Radiation Oncology Group study (KROG 13-03). Lee HJ, Han S, Kim YS, Nam JH, Kim HJ, Kim JW, Park W, Kim BG, Kim JH, Cha SD, Kim J, Lee KH, Yoon MS, Kim SM, Kim JY, Yoon WS, Lee NW, Choi JH, Park SY, Kim JY. Int J Radiat Oncol Biol Phys; 2013 Nov 15; 87(4):659-64. PubMed ID: 24138914 [Abstract] [Full Text] [Related]
10. Magnetic Resonance Imaging as a Valuable Tool for Predicting Parametrial Invasion in Stage IB1 to IIA2 Cervical Cancer. Kim M, Suh DH, Kim K, Lee HJ, Kim YB, No JH. Int J Gynecol Cancer; 2017 Feb 15; 27(2):332-338. PubMed ID: 28114236 [Abstract] [Full Text] [Related]
18. Apparent diffusion coefficient for prediction of parametrial invasion in cervical cancer: a critical evaluation based on stratification to a Likert scale using T2-weighted imaging. Woo S, Kim SY, Cho JY, Kim SH. Radiol Med; 2018 Mar 15; 123(3):209-216. PubMed ID: 29058233 [Abstract] [Full Text] [Related]
19. Nomogram prediction for overall survival of patients diagnosed with cervical cancer. Polterauer S, Grimm C, Hofstetter G, Concin N, Natter C, Sturdza A, Pötter R, Marth C, Reinthaller A, Heinze G. Br J Cancer; 2012 Sep 04; 107(6):918-24. PubMed ID: 22871885 [Abstract] [Full Text] [Related]