Light-Based test could spot ovarian cancer sooner
NCT ID NCT04817449
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested a light-based technique called Raman spectroscopy to find ovarian cancer in blood and tissue samples. Researchers looked at samples from 160 women with symptoms or undergoing treatment. The goal was to see if this method can help detect cancer earlier and tell the difference between healthy, scarred, and cancerous tissue.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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160 people
The number who actually took part.
- Started
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Jun 2021
- Finished
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Oct 2025
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Patients presenting to secondary care with suspected ovarian cancer symptoms. Patients with likely ovarian cancer, yet to start definitive treatment.
- Ages
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18 years and older
- Sex
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Female participants only
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Female * Symptoms suggestive of ovarian cancer * Patients undergoing treatment of Ovarian Cancer Exclusion Criteria: * Less than 18 years of age * Unable to consent to the study due to communication difficulties * Unable to consent to the study due to lack of capacity
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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University Hospitals Bristol and Weston NHS Trust
Bristol, United Kingdom
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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