Ovarian Epithelial Cancer
Conditions
Interventions
Index test:Constructing a Support Vector Machine (SVM) model to calculate sensitivity, specificity, positive predictive value, and negative predictive value for evaluating the diagnostic performance o
Sponsors
GYNECOLOGIC OF THE SOUTHWEST HOSPITAL OF AUM
Eligibility
Sex/Gender
Female
Age
18 Years to 70 Years
Inclusion criteria
Inclusion criteria: (1) Patients aged between 18 and 70 years old. (2) Patients with ovarian tumors who are candidates for surgical treatment. (3) No history of cancer within the past five years. (4) Capable of follow-up and with good compliance.
Exclusion criteria
Exclusion criteria: (1) Patients who are pregnant. (2) Active infection, defined by at least two of the following conditions: fever, cough, or sputum symptoms; procalcitonin levels greater than 0.05 ng/mL, white blood cell count greater than 9500/µL or less than 3500/µL (converted to ×10^9 per liter by multiplying by 0.001), C-reactive protein levels greater than or equal to 0.5 mg/dL (converted to milligrams per liter by multiplying by 10.0), or absolute neutrophil count greater than 6300/µL or less than 1800/µL. (3) Current sufferers of chronic diseases such as kidney disease, liver disease, diabetes, and other metabolic disorders. (4) Patients who have received treatment for respiratory diseases within the past six months. (5) Patients with insufficient exhaled volume (less than 600 mL).
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Support Vector Machine Model; | — |
Secondary
| Measure | Time frame |
|---|---|
| Sensitivity;Specificity;Positive Predictive Value;Negative Predictive Value; | — |
Countries
China
Contacts
Public ContactWang Yanzhou
THE SOUTHWEST HOSPITAL OF AUM
Outcome results
None listed