Gan to kagaku ryoho. Cancer & chemotherapy
Nov 1, 2016
A72 -year-old woman who complained of abdominal pain and distention visited the emergency clinic of our hospital in April 2014. Computed tomography(CT)showed an omental mass and a pelvic mass with massive ascites. The fluid was removed by abdominal a...
BACKGROUND: Platelet to lymphocyte ratio (PLR) is widely used as an inflammation-related cancer biomarker. However, since its prognostic importance in resected high-grade serous ovarian carcinoma (HGSC) is still unknown, we investigated the associati...
Long-term outcome of high-grade serous epithelial ovarian carcinoma (HGSOC) remains poor as a result of recurrence and the emergence of drug resistance. Almost all the patients were given the same platinum-based chemotherapy after debulking surgery e...
Journal of biological regulators and homeostatic agents
Jan 1, 2016
The Risk of Malignancy Algorithm (ROMA) combines the diagnostic power of the CA125 and HE4 markers with menopausal status to predict the risk for developing epithelial ovarian cancer (EOC). The aim of this study was to evaluate the association betw...
BACKGROUND AND OBJECTIVE: Ovarian cancers are frequently seen at an advanced stage in our center. This audit was planned to see the morbidity and efficacy of different types of cytoreductive surgeries (radical vs. ultra-radical) done in such patients...
International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
Jan 1, 2016
OBJECTIVES: Serous borderline ovarian tumors (SBOTs) are a subtype of serous ovarian carcinoma with atypical proliferation. Frozen-section diagnosis has been used as an intraoperative diagnosis tool in supporting the fertility-sparing surgery by diag...
BACKGROUND: The ovaries accessories, ectopic and supernumerary represent a rare gynecological disorder; incidence ranges from 129,000 to 1:700,000 cases.
Support vector machine (SVM) is one of the most effective classification methods for cancer detection. The efficiency and quality of a SVM classifier depends strongly on several important features and a set of proper parameters. Here, a series of cla...
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