Clin2
NCT06851429Possibly a fitRecruiting

Ovarian cancer detection on CT scans using artificial intelligence

Ovarian Cancer

Part of Cancer, Hormones & metabolism, Women’s health & pregnancy clinical trials.

This trial tests a computer program (artificial intelligence) that looks at CT scans of the pelvis to help find ovarian cancer. If it works, it could help doctors diagnose this cancer earlier and more accurately.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
12,578 people
Ages
20 years and older
Study type
Observational

Who can take part

  • You are at least 20 years old.
  • You are female.
  • You have had a CT scan of your abdomen or pelvis.
  • Your CT scan was taken within 6 months (180 days) before your ovarian surgery, and you have the results from that surgery.
  • Only CT scans with contrast (dye) are included.
  • Your CT scan must be free of metal artifacts, such as from hip replacements.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT06817174Recruiting
CT scan analysis for ovarian cancer treatment planning

This study uses advanced computer analysis of CT scans to help doctors plan the best treatment for advanced ovarian cancer. It is designed for patients who are about to start active treatment, such as surgery or chemotherapy.

London
NCT06703112Not yet recruiting
AI tool for diagnosing ovarian tumors

This trial is testing an artificial intelligence system that helps doctors diagnose ovarian tumors more accurately using imaging and blood tests. It may lead to better treatment decisions for patients.

NCT06528236Not yet recruiting
Artificial intelligence for diagnosing ovarian masses on ultrasound

This study uses ultrasound images to train an artificial intelligence (AI) system to better identify ovarian masses. It may help give more accurate diagnoses and reduce the need for unnecessary surgery.

NCT07639567Not yet recruiting
Finding cancers on routine CT scans using artificial intelligence

This study tests whether a computer program can find cancer signs in CT scans that were done for other reasons (like check-ups) without needing a separate special scan. If you've already been diagnosed with breast, liver, kidney, or bladder cancer and had a CT scan before treatment, you might be able to join.

Wuhan, Hubei
NCT07801209Not yet recruiting
Testing an AI tool for ultrasound diagnosis of ovarian masses

This study tests a computer program that helps doctors read ultrasound images of the ovaries. It aims to make diagnosing ovarian masses more accurate and easier, which may lead to better care for women with these findings.

Hangzhou, Zhejiang
NCT07304492Not yet recruiting
Using artificial intelligence to read CT scans of kidney tumors

This study tests whether artificial intelligence (AI) can help doctors tell kidney tumors apart from non-cancerous growths using a regular CT scan without contrast dye. If the AI works well, it could help doctors make better decisions without the need for extra procedures.

Shanghai, Shanghai Municipality

Hear when a new Ovarian cancer trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.