Evaluation and Implementation of New Biomarkers and Algorithms for Diagnosis of Ovarian Cysts/Tumors in the Pelvis
This study evaluates the biomarkers CA125 and HE4 and the algorithms RMI and ROMA on a normal population in the western region of Sweden. The aim is to improve diagnosis of ovarian cancer.
If the investigators observe a clear improvement in the early diagnosis of EOC, the investigators aim to implement the best strategy for all patients with suspected pelvic tumor mass in the western region of Sweden.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
The investigators are currently using CA125 and RMI in diagnosing patients with a pelvic cyst/tumor and referring them to tertiary centers for surgery in the western region of Sweden. The diagnostic accuracy is unsatisfying why the investigators are evaluating HE4 and ROMA as a complement, in combination or separately to improve diagnostic accuracy.
The trial is based on a normal population cohort of patients included at all the hospitals in the region. The patients were included before surgery and the biomarkers analysed on serum samples withdrawn preoperatively.
If the investigators observe a clear improvement in the early diagnosis of EOC, the investigators aim to implement the best strategy for all patients with suspected pelvic tumor mass in the western region of Sweden.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
-
Gothenburg, Sweden, 41345
- Gothenburg University, Sahlgrenska University Hospital
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- 18 years of age, understand spoken and written Swedish information, admitted for surgery for a cyst/tumos in the pelvis
Exclusion Criteria:
- Rejected participation, cytotoxic chemotherapy prior to surgery, rejected surgery, serum sample failure, already included at another hospital
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Benign
Benign tumors, pre-and postmenopausal
|
Improving diagnosis
|
|
Malignant
Malignant tumors, pre-and postmenopausal
|
Improving diagnosis
|
|
Borderline
Borderline tumors, pre-and postmenopausal
|
Improving diagnosis
|
|
Malignant+borderline
Malignant+borderline tumors, pre-and postmenopausal
|
Improving diagnosis
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Can the investigators improve diagnostic accuracy in women diagnosed with a cyst/tumor in the pelvis
Time Frame: 12 months
|
Finding the true cases and avoiding unnecessary surgery, a descriptive analysis of a normalpopulation
|
12 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Improve triage of patients to tertiary centers for surgery
Time Frame: 12 months
|
Referring the correct cases from a normal population.
|
12 months
|
Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- Ksundfeldt
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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