RT Journal Article SR Electronic T1 Does a Standardized Preoperative Algorithm of Clinical Data Improve Outcomes in Patients With Ovarian Cancer? A Quality Improvement Project JF International Journal of Gynecologic Cancer JO Int J Gynecol Cancer FD BMJ Publishing Group Ltd SP 798 OP 801 DO 10.1097/IGC.0000000000000433 VO 25 IS 5 A1 Monjri M. Shah A1 Charles A. Leath A1 Laura Rebecca Daily A1 Gerald McGwin A1 Jacob M. Estes A1 Ronald D. Alvarez A1 John Michael Straughn YR 2015 UL http://ijgc.bmj.com/content/25/5/798.abstract AB Objective To evaluate the potential impact of a standardized preoperative algorithm on outcomes of patients with suspected ovarian cancer.Methods From January 1 to December 31, 2013, patients with suspected ovarian cancer were triaged to primary debulking surgery or neoadjuvant chemotherapy/interval debulking surgery (NACT/IDS) based on a comprehensive review of preoperative clinical data as part of a quality improvement project. Demographics, surgical, and postoperative data were collected.Results A total of 110 patients with newly diagnosed ovarian cancer were identified: 68 (62%) underwent PDS with an 85% optimal debulking rate. The 30-day readmission rate was 14.7% with a 2.9% 60-day mortality rate. Forty-two patients (38%) underwent NACT. Two patients (4.8%) died before receiving NACT. Thirty-five patients have undergone IDS with an 89% optimal debulking rate. The 30-day readmission rate was 8.5% with a 5.7% 60-day mortality rate after IDS.Conclusions Although it is difficult to predict which patients will undergo optimal debulking at the time of PDS, surgical morbidity and mortality can be decreased by using NACT in select patients. The initiation of a quality improvement project has contributed to an improvement in patient outcomes at our institution.