AI-supported screening and treatment selection for cervical cancer in low-income countries
A Novel, One Stop, Affordable, Point of Care and Artificial Intelligence Supported System of Screening, Triage and Treatment Selection for Cervical Cancer and Precancer in the Low-to-middle Income Countries
This study is testing a new AI system that uses urine samples and cervical images to help find cervical cancer in women aged 25 to 49 in low-income countries who haven't been screened recently.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 3200 (estimated) |
| Ages | 25 Years to 49 Years |
| Sex | Female |
| Sponsor | International Agency for Research on Cancer Academic / other |
| Locations | 2 sites (Cincinnati, Ohio and 1 other locations) |
| Trial ID | NCT06042543 on ClinicalTrials.gov |
What this trial studies
This project aims to develop and validate a novel artificial intelligence system for cervical cancer screening and treatment decision-making. The AI will analyze infrared spectroscopic signals from urine samples to detect high-risk human papillomavirus (hr-HPV) and interpret cervical images to identify high-grade precancers and cancers. By screening 3200 women aged 25 to 49 who have not been screened in the last three years, the study seeks to improve cervical cancer outcomes in low- and middle-income countries. The approach combines innovative technology with a focus on accessibility and affordability.
Who should consider this trial
Good fit: Ideal candidates for this study are women aged 25 to 49 who have not undergone cervical screening in the past three years.
Not a fit: Patients who are actively menstruating, pregnant, or have previously been treated for cervical precancer or cancer may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could significantly enhance early detection and treatment of cervical cancer, potentially saving lives in underserved populations.
How similar studies have performed: Other studies have shown promise in using AI for cancer detection, but this specific approach combining urine spectroscopy and AI for cervical cancer screening is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * No cervical screening during the previous 3 years * Between the ages of 25 and 49 years * Understands and signs a written informed consent form Exclusion Criteria: * Refusal to take part for any reason * Actively menstruating or pregnant * Treated earlier for cervical precancer or cancer
Where this trial is running
Cincinnati, Ohio and 1 other locations
- University of Cincinnati — Cincinnati, Ohio, United States (Not_yet_recruiting)
- University of Zimbabwe — Harare, Zimbabwe (Recruiting)
Study contacts
- Principal investigator: Partha Basu, MD — International Agency For Research On Cancer (IARC)
- Study coordinator: Partha Basu, MD
- Email: basup@iarc.who.int
- Phone: +33764485370
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.