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Scientific  Supervisors : Prof. Dr.B.I.Polyakov Dr.M.Y. Fedyanin Presented by: Dr.Ye Hlaing Bwar Significance of Prognostic Factors in Epithelial Ovarian Cancer M.V.LOMONOSOV MOSCOW STATE UNIVERSITY Faculty of Basic Medicine
Ovarian cancer is the fifth leading cause of death from cancer in women. Leading cause of death from gynecological cancer   in United State .
Mortality  from Ovarian Cancer ,[object Object],[object Object],[object Object],[object Object]
Prognostic factor  -  any measurement  available at the time of surgery or diagnosis  that correlates with disease-free or overall  survival  and, as a result, is able to correlate  with the natural history of the disease.  (>90%) Epithelial Ovarian Cancer
Prognostic Factors in Epithelial Ovarian Cancer Prognostic Factors -  Age -  Histology -  Grade -  Stage(FIGO)  -  ECOG performance status  -  CA125 -  Ascites -  Residual disease -  Ploidy -  Type of chemotherapy - Interval debulking
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Diagnosis
Aim of Study To indentify the statistical significance prognostic factors in epithelial ovarian cancer treated with surgery and primary systemic chemotherapy.
[object Object],[object Object],[object Object],[object Object],Objectives of study
Patients and Methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Patients and Methods Statistical Analysis -  MedCalc software (version 9.6) -  x 2  test to compare distribution of baseline characteristics -  Fisher’s exact test where appropriate -  Kaplan-Meier method for survivals, log-rank test for comparison & Cox  proportional hazard regression models for multivariate analysis Follow-up  -  every 3 months for 1 st  two years, every 6 months for next 3 yrs &  annually thereafter
Distribution of Patients Baseline Characteristics (n=55)
5 year Overall Survival Rate (n=55)
Univariate Analysis of Prognostic Factors
Significance in  Sub-group of prognostic factor
CONCLUSION 1.  Statistical Significance of Prognostic Factors Age  (P=0.028). Histology  (P=0.035). FIGO stage  (P=0.022). Ascites  (P=0.028). ,[object Object],[object Object],[object Object],2. ,[object Object],[object Object],[object Object],[object Object],3.
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Yehlaingbwar

  • 1. Scientific Supervisors : Prof. Dr.B.I.Polyakov Dr.M.Y. Fedyanin Presented by: Dr.Ye Hlaing Bwar Significance of Prognostic Factors in Epithelial Ovarian Cancer M.V.LOMONOSOV MOSCOW STATE UNIVERSITY Faculty of Basic Medicine
  • 2. Ovarian cancer is the fifth leading cause of death from cancer in women. Leading cause of death from gynecological cancer in United State .
  • 3.
  • 4. Prognostic factor - any measurement available at the time of surgery or diagnosis that correlates with disease-free or overall survival and, as a result, is able to correlate with the natural history of the disease. (>90%) Epithelial Ovarian Cancer
  • 5. Prognostic Factors in Epithelial Ovarian Cancer Prognostic Factors - Age - Histology - Grade - Stage(FIGO) - ECOG performance status - CA125 - Ascites - Residual disease - Ploidy - Type of chemotherapy - Interval debulking
  • 6.
  • 7. Aim of Study To indentify the statistical significance prognostic factors in epithelial ovarian cancer treated with surgery and primary systemic chemotherapy.
  • 8.
  • 9.
  • 10. Patients and Methods Statistical Analysis - MedCalc software (version 9.6) - x 2 test to compare distribution of baseline characteristics - Fisher’s exact test where appropriate - Kaplan-Meier method for survivals, log-rank test for comparison & Cox proportional hazard regression models for multivariate analysis Follow-up - every 3 months for 1 st two years, every 6 months for next 3 yrs & annually thereafter
  • 11. Distribution of Patients Baseline Characteristics (n=55)
  • 12. 5 year Overall Survival Rate (n=55)
  • 13. Univariate Analysis of Prognostic Factors
  • 14. Significance in Sub-group of prognostic factor
  • 15.