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Development of Web-Based Nomograms to Predict Treatment Response and Prognosis of Epithelial Ovarian Cancer
Se Ik Kim, Minsun Song, Suhyun Hwangbo, Sungyoung Lee, Untack Cho, Ju-Hyun Kim, Maria Lee, Hee Seung Kim, Hyun Hoon Chung, Dae-Shik Suh, Taesung Park, Yong-Sang Song
Cancer Research and Treatment. 2019;51(3):1144-1155.   Published online 2018 November 20    DOI: https://doi.org/10.4143/crt.2018.508

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Development of Web-Based Nomograms to Predict Treatment Response and Prognosis of Epithelial Ovarian Cancer
Cancer Research and Treatment. 2019;51(3):1144-1155   Crossref logo
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Nomograms for staging, prognosis, and predicting treatment outcomes
Cancer. 2009;115(S13):3107-3111   Crossref logo
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The Role of Lymphadenectomy in Ovarian Epithelial Cancer
Ovarian Cancer - From Pathogenesis to Treatment. 2018;   Crossref logo
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Chemotherapy for Primary and Recurrent Epithelial Ovarian Cancer
Ovarian Cancer - From Pathogenesis to Treatment. 2018;   Crossref logo
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Primary treatment of epithelial ovarian malignancies
Cancer. 1993;71(S4):1541-1550   Crossref logo
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Development and Validation of Web-Based Nomograms to Predict Postoperative Invasive Component in Ductal Carcinomain Situat Needle Breast Biopsy
Healthcare Informatics Research. 2014;20(2):152   Crossref logo
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Serum angiopoietin-2 and soluble VEGFR-2 levels predict malignancy of ovarian neoplasm and poor prognosis in epithelial ovarian cancer
BMC Cancer. 2014;14(1):   Crossref logo
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Ovarian Cancer: Immunological Aspects. Influence on Prognosis and Treatment
Ovarian Cancer. 1968;105-121   Crossref logo
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STAT3polymorphisms may predict an unfavorable response to first-line platinum-based therapy for women with advanced serous epithelial ovarian cancer
International Journal of Cancer. 2015;138(3):612-619   Crossref logo
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The prognosis of women diagnosed with epithelial ovarian cancer improved over the period of 1975–1994
Evidence-based Obstetrics & Gynecology. 1999;1(1):35   Crossref logo
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