The new risk scoring system for predicting epithelial ovarian malignancy: Risk of ovarian cancer score (ROCS)
- Conditions
- Adnexal massOvarian cancerAdnexal mass, Ovarian cancer, Predictive model, Risk scoring
- Registration Number
- TCTR20231103007
- Lead Sponsor
- Srinakharinwirot University
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- Male
- Target Recruitment
- 124
Women with adnexal masses who undergone elective adnexal surgery at HRH Princess Maha Chakri Sirindhorn Medical Center
-Age more than 18 years old
-Basic information were completely recorded including age, menopausal status
-Preoperative ultrasound performed at at HRH Princess Maha Chakri Sirindhorn Medical Center, and performed by OB-GYN residents or OB-GYN fellow/ staffs, were completely recorded
-CA 125 level before operation
-Never have undergone uterus/ adnexal removal surgery
-If the pathology reported to be malignancy, only epithelial ovarian cancer cell type were included in this study
- Pregnancy
- previously diagnosed as ovarian cancer or any malignancy (any known cancer were excluded)
- no pathologic report of adnexal mass
- 10 predicting parameters were not all completely recorded
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method to create a new risk scoring system for predicting epithelial ovarian malignancy: Risk of ovarian cancer score (ROCS) after retrospective chart review all completed, then ROCS score can be generated via using stat Efficacy: sensitivity, specificity, PPV, NPV
- Secondary Outcome Measures
Name Time Method to compare the efficacy of ROCS in each subgroup 1. Borderline VS cancer/non-cancer 2. Borderline VS non-cancer 3. Borderline VS epithelial ovarian cancer 4. High grade cancer VS low grade cancer after ROCs score have been created, then subgroup analysis can be performed Efficacy: sensitivity, specificity, PPV, NPV