Plain-English translation of NCT05842629 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Read our Ovarian Neoplasms research guide →Researchers are testing whether improved imaging techniques and standardized methods can better identify ovarian cancer and distinguish it from benign (non-cancerous) ovarian cysts. The study will use ultrasound, MRI scans, and specialized PET-CT imaging to see which combination works best. This research aims to help doctors diagnose ovarian cancer more accurately, so patients get the right treatment faster.
Current methods for diagnosing ovarian cancer sometimes miss cases or create false alarms. By testing newer imaging approaches and standardized reporting methods, this study hopes to improve how reliably doctors can tell the difference between cancer and harmless cysts, leading to better patient outcomes.
You likely qualify if…
You likely don't qualify if…
If you join, you'll have imaging scans performed by radiologists trained in standard diagnostic methods — including ultrasound, MRI, and possibly PET-CT scans. Your doctors will then diagnose and treat you according to standard medical guidelines. The study is collecting information to see whether these imaging methods can reliably catch ovarian cancer earlier and more accurately.
AI-generated summary from trial data · Jun 3, 2026 · Not medical advice
Denmark
Collaborators
Aarhus University Hospital, Regionshospitalet Horsens
Enrollment target
~1,700 participants
Started
May 2021
Primary completion
June 2024
This trial's estimated completion date has passed — the record may not be fully up to date.
Sex
Female only
Last updated on clinicaltrials.gov in May 2024.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Ina Marie Dueholm Hjorth, MD
University of Aarhus
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.