P150 Predictive value of SIRS severity index on survival in elderly women (≥70 years) with advanced epithelial ovarian cancer

2019 ◽  
Author(s):  
YJ Song ◽  
SL Todd ◽  
Y Xiong ◽  
R Wenham ◽  
M Extermann ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Predictive Value ◽  
Elderly Women ◽  
Severity Index ◽  
Advanced Epithelial Ovarian Cancer

CA125 levels are a weak predictor of optimal cytoreductive surgery in patients with advanced epithelial ovarian cancer

2003 ◽  
Vol 13 (2) ◽  
pp. 120-124 ◽  
Author(s):  
S. Memarzadeh ◽  
S. B. Lee ◽  
J. S. Berek ◽  
R. Farias-Eisner
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Cytoreductive Surgery ◽  
Predictive Value ◽  
Maximal Dimension ◽  
Optimal Cytoreduction ◽  
Cut Point ◽  
Ca125 Level ◽  
The Mean ◽  
Advanced Epithelial Ovarian Cancer

The utility of preoperative CA125 to predict optimal primary tumor cytoreduction in patients with advanced (stages IIIC and IV) epithelial ovarian cancer is controversial. In this paper, we retrospectively review patients with stage IIIC and IV epithelial ovarian cancer who underwent primary cytoreductive surgery from 1989 to 2001. Ninety-nine patients were identified and included in the analysis. All patients had preoperative CA125 levels measured. Operative and pathology reports were reviewed. Optimal cytoreduction was defined as largest volume of residual disease < 1 cm in maximal dimension. Mean values were compared with t-test on a log scale when needed. The optimal cut-point for discriminating between those with vs. without optimal cytoreduction was determined using the receiver operator curve (ROC) method. Optimal cytoreduction was achieved in 73% of patients. Among patients with optimal cytoreductive status the mean CA125 level was 569, while among patients with suboptimal cytoreduction the mean CA125 level was 1520 (P < 0.007). A CA125 level of 912 was identified as the optimal cut-point to distinguish the two groups. Using this CA125 level, the sensitivity of this test in predicting optimal cytoreduction was 58% and the specificity was 54%. The positive predictive value of CA125 for optimal cytoreduction was 78% and the negative predictive value was 31%. We conclude that CA125 level is a weak positive and negative predictor of optimal cytoreductive surgery in patients with advanced epithelial ovarian cancer. The CA125 level should not be used as a primary predictor of the outcome of cytoreductive surgery and should be viewed in the context of all other preoperative features.

scholarly journals A prospective study evaluating preoperative (clinical, imaging) and intraoperative predictors of suboptimal debulking in advanced epithelial ovarian cancer

2016 ◽  
Author(s):  
Anupama Rajanbabu ◽  
Kiran Bagul ◽  
Keyword(s):  
Ovarian Cancer ◽  
Small Bowel ◽  
Ct Scan ◽  
Epithelial Ovarian Cancer ◽  
Survival Benefit ◽  
Demographic Data ◽  
Univariate Analysis ◽  
Imaging Results ◽  
Advanced Epithelial Ovarian Cancer ◽  
Optimal Debulking

Introduction: In advanced epithelial ovarian cancer, there is a survival benefit for patients who achieve optimalcytoreduction. Suboptimallycytoreduced patients are at risk of the increased morbidity of a surgery without associated survival benefit. Predicting which patients can undergo optimal cytoreduction represents a critical decision-making point. Present study analyses the predictors, pre operative (clinical and radiologic) and intraoperative of suboptimal debulking. Methods: This was a prospective observational study conducted at Amrita Institute of Medical Sciences from March 2013 to May 2015. All the patients with clinically (physical examination, laboratory and imaging results) diagnosed Stage IIIc epithelial ovarian, fallopian tube, or primary peritoneal carcinoma (PPC) who were planed for primary debulking surgery were included. The demographic data and details of tumor markers, radiological investigations including CT scan, intra operative findings and histopathologic details were collected. Statistical analysis was done using SPSS v20.0. Results: 36 patients fit the inclusion criteria. Gross ascites wasthe clinical parameter found to be associated with suboptimal debulking. CT scan had low sensitivity (35-53%) in diagnosing small bowel mesenteric and porta hepatis disease and high sensitivity in diagnosing diffuse peritoneal thickening, omental disease, diaphragmatic and nodal disease. On univariate analysis diffuse peritoneal thickening and small bowel serosa and mesenteric disease were significantly consistent with sub optimal debulking. Conclusion: Finding out disease at the sites which are associated with suboptimal debulking (diffuse peritoneal thickening, smallbowel mesenteric and serosal disease) pre operatively or at the beginning of surgery can predict optimal debulking and can help avoid un necessary surgery.

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