Ovary: Oral Abstract: A prospective study evaluating preoperative (clinical, imaging) and intraoperative predictors of suboptimal debulking in advanced epithelial ovarian cancer
This article was originally published by Wolters Kluwer - Medknow and was migrated to Scientific Scholar after the change of Publisher.
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.
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.
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.
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.