45 results on '"Kim, Se Ik"'
Search Results
2. Patterns of metastasis and recurrence in premenopausal women with low-risk endometrial cancer but elevated CA125
3. Pembrolizumab plus chemotherapy with/without bevacizumab in East Asian patients with persistent, recurrent, or metastatic cervical cancer: results from KEYNOTE-826 final analysis
4. Durvalumab with or without tremelimumab plus chemotherapy in HRR non-mutated, platinum-resistant ovarian cancer (KGOG 3045): a phase II umbrella trial
5. TP016/#1542 A multicenter study of niraparib as maintenance therapy in BRCA wild-type, newly diagnosed advanced ovarian cancer (Polo trial)
6. EP276/#634 The impact of histologic subtypes on survival outcomes in primary mucinous ovarian cancer
7. PR033/#878 Diagnostic and prognostic role of circulating neutrophil extracellular trap markers and prekallikrein in patients with endometrial cancer
8. SO022/#851 Development of next-generation RNA sequencing-based deep-learning models to predict chemoresistance risk in high-grade serous ovarian carcinoma
9. PR012/#858 Comparisons of survival outcomes of laparoscopic versus open radical hysterectomy in early cervical cancer with incidentally identified pathologic high-risk factors
10. PR060/#838 Impact of ascites and peritoneal metastatic lesion volumes, measured by newly developed deep learning-based algorithm, in advanced epithelial ovarian cancer
11. EP190/#845 Impact of obesity and menopausal status on development of gynecologic cancers in Korean women
12. SO011/#834 Development of deep learning-based auto-segmentation algorithms for peritoneal metastases using computed tomography image analysis of ovarian cancer
13. EP357/#863 Investigation of prognostic factors in neuroendocrine carcinoma of the uterine cervix
14. #865 Development of NGS cancer panel-based homologous recombination deficiency test in epithelial ovarian cancer
15. #880 Impact of ascites and peritoneal metastatic lesions, measured by newly developed, deep learning-based algorithm, on survival outcomes in advanced epithelial ovarian cancer
16. #854 Tissue expression and prognostic roles of CXCL12 and CXCR4 in high-grade serous ovarian carcinoma
17. Optimal candidates for conization before radical hysterectomy in early cervical cancer: a Korean multi-center study (COBRA-R)
18. Optimal candidates for conization before radical hysterectomy in early cervical cancer: a Korean multi-center study (COBRA-R)
19. A single-arm, phase II study of niraparib and bevacizumab maintenance therapy in patients with platinum-sensitive, recurrent ovarian cancer previously treated with a PARP inhibitor: Korean Gynecologic Oncology Group (KGOG 3056)/NIRVANA-R trial
20. Proteomic profiling of protein signatures associated with therapeutic responses to PARP inhibitors in ovarian cancer
21. Minimally invasive radical hysterectomy in early cervical cancer
22. Development and validation of a deep learning-based auto-segmentation algorithm for peritoneal carcinomatosis using computed tomography image analysis of ovarian cancer
23. Discovery of novel serum diagnostic biomarkers for high-grade serous ovarian carcinoma via liquid chromatography data-independent acquisition tandem mass spectrometry
24. Chemotherapy response score (CRS) is no longer predictive of survival outcomes in patients with BRCA mutation and/or maintenance therapy
25. The role of CXCL12 and CXCR4 as prognostic biomarkers in high-grade serous ovarian carcinoma
26. Proteomic discovery of plasma protein biomarkers predicting prognosis of high-grade serous ovarian carcinoma
27. 25/#790 Prediction model for complete cytoreduction at primary cytoreductive surgery for advanced ovarian cancer by integrating of 18f-FDG PET/CT parameters and CA-125
28. EP253/#593 Proteomic discovery of blood biomarkers predicting prognosis of high-grade serous ovarian carcinoma
29. EP065/#654 Laparoscopic radical hysterectomy is safe in cervical cancer with tumor size ≤2 cm, even if parametrial invasion or lymph node metastasis is found after surgery
30. TP027/#586 A multicenter study of niraparib maintenance therapy in BRCA wild-type, newly diagnosed advanced ovarian cancer: polo trial
31. EP236/#587 Proteomic profiling of protein signatures associated with response to PARP inhibitor maintenance therapy in ovarian cancer
32. EP237/#590 Role of secondary cytoreductive surgery and bevacizumab in platinum-sensitive recurrent ovarian clear cell carcinoma
33. EP075/#714 Survival outcomes from laparoscopic radical hysterectomy without preoperative cervical conization in 2018 FIGO stage IB1-IB2 cervical cancer
34. 2022-RA-1120-ESGO Non-inferior survival outcomes from minimally invasive radical hysterectomy in conization-skipped, 2018 FIGO stage IB1 cervical cancer: A two-institutional retrospective cohort study
35. 2022-RA-1462-ESGO Impact of minimally invasive radical hysterectomy on survival outcomes in early-stage usual-type adenocarcinoma and adenosquamous carcinoma of the cervix: A two-center study with pathologic review
36. 2022-RA-1067-ESGO Is laparoscopic radical hysterectomy safe in cervical cancer with tumor size ≤2 cm, even if parametrial invasion or lymph node metastasis is found after surgery?
37. 2022-RA-1071-ESGO Primary treatment and prognostic factors of neuroendocrine carcinoma of the uterine cervix
38. Single-arm, phase II study of niraparib and bevacizumab maintenance in platinum-sensitive, recurrent ovarian cancer previously treated with a PARP-inhibitor: KGOG3056/NIRVANA-R
39. The real-world experience of pembrolizumab and lenvatinib in recurrent endometrial cancer: a multicenter study in South Korea
40. Incorporation of protein biomarkers to the ProMisE molecular classifier for further prognostication in endometrial cancer
41. Impact of hemodynamic instability during radical hysterectomy on survival outcome in early cervical cancer
42. Clinical implications of neoadjuvant chemotherapy in advanced endometrial cancer: a multi-center retrospective cohort study
43. Effect of BRCA mutational status on survival outcomes after secondary cytoreduction in platinum-sensitive relapsed ovarian cancer
44. Clinical practice patterns in the management of cervical, ovarian, and endometrial cancers in Asia-Pacific: a survey of the KSGO, JSGO, GCGS, and ANZGOG
45. Identification of hyperparameters with high effects on performance of deep neural networks: application to clinicopathological data of ovarian cancer
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