Ovarian cancer Cancer
Conditions
Interventions
Current interventions as of 28/05/2024:
A prospective study including >700 patients with ovarian tumors, assessed by examiners with varying expertise (at least 400 assessments by non-experts, and 300
Sponsors
Karolinska Institute
Eligibility
Sex/Gender
Female
Inclusion criteria
Inclusion criteria: 1. Women aged =15 years 2. Newly detected ovarian tumor 3. Capable of understanding the study information and accepts participation
Exclusion criteria
Exclusion criteria: 1. Aged <15 years 2. Patients who are not capable of understanding the study information or don't accept participation
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Diagnostic accuracy in differentiating benign from malignant ovarian tumors measured by comparing the outcomes from subjective assessment, IOTA-ADNEX model scoring and previously developed deep neural network (DNN) models at one timepoint | — |
Secondary
| Measure | Time frame |
|---|---|
| Accuracy in differentiating benign from malignant ovarian tumors measured by comparing the outcomes from subjective assessment, IOTA-ADNEX model scoring and previously developed DNN models - stratified by user experience (expert examiners versus non-expert examiners) at one timepoint | — |
Countries
Czech Republic, Italy, Lithuania, Philippines, Poland, Spain, Sweden
Outcome results
None listed