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NCT06613230

Improved Early Diagnosis in Female Pelvic Cancer With OC Detect

Completed Last updated 18 April 2025
What this trial tests

trial in Ovarian Cancer in 490 participants. Completed in 31 December 2024.

Timeline
1 February 2024
Primary endpoint
31 December 2024
31 December 2024

Quick facts

Lead sponsorRegion Skane
StatusCompleted
Study typeOBSERVATIONAL
Enrollment490
Start date1 February 2024
Primary completion31 December 2024
Estimated completion31 December 2024
Sites2 locations across Sweden

Conditions studied

Sponsor

Region Skane — full company profile →

Who can join

Adults 18 to 70, female only, with Ovarian Cancer or Endometrial Cancer. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The goal of this observational study is to learn if so called Volatile Organic Compounds (VOCs) in blood can be used for early diagnosis of ovarian cancer. The main question it aims to answer is: Can OC Detect, a new in vitro diagnostic instrument, distinguish between VOC patterns in blood plasma from women with ovarian cancer (especially in early stage) and VOC patterns in helthy women? Participants are previosuly diagnosed patients with ovarian cancer, who agreed to store their blood samples in biobanks for future medical research purposes. Healthy female blood donors serve as benign control blood samples.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

Verify or expand the search:

Other recruiting trials for Ovarian Cancer

Currently open trials in the same condition.

Other Region Skane trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06613230.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing