NCT06644248 AI Model for Cervical Cancer Detection From Colposcopy Images
| NCT ID | NCT06644248 |
| Status | Recruiting |
| Phase | — |
| Sponsor | Bangladesh University of Engineering and Technology |
| Condition | Uterine Cervical Neoplasms |
| Study Type | OBSERVATIONAL |
| Enrollment | 500 participants |
| Start Date | 2024-01-11 |
| Primary Completion | 2025-01-11 |
Eligibility & Interventions
Eligibility Fast-Check
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What to Expect as a Participant
This is an observational study. You will not receive an experimental treatment; researchers will collect data based on your existing condition or standard treatment.
This trial targets 500 participants in total. It began in 2024-01-11 with a primary completion date of 2025-01-11.
⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.
Brief Summary
Cervical cancer is a significant health issue, particularly in low-income countries, where late diagnosis and limited access to screenings contribute to high mortality rates. This study aims to develop and evaluate an artificial intelligence (AI) model to analyze colposcopic images for detecting cervical cancer more accurately and efficiently. Colposcopy, a procedure used to examine the cervix for signs of cancer, relies heavily on doctors' expertise, leading to inconsistent results. The current gold standard, colposcopy-directed biopsy, is invasive and can cause complications. The hypothesis is that an AI model can outperform traditional methods in identifying cervical abnormalities, providing a reliable and scalable solution for early detection, especially in underserved areas. By automating the analysis process, the AI model aims to reduce reliance on trained personnel, making cervical cancer screening more accessible and improving early diagnosis and treatment outcomes. The study will create a diverse dataset of colposcopy images from various sources and develop the AI model. The model's performance will be validated in clinical settings, assessing its accuracy in classifying cancer stages and identifying transformation zones. The impact on early detection, patient outcomes, and model usability will be evaluated, as well as its generalizability across different healthcare environments. The goal is to enhance the accuracy and efficiency of cervical cancer screening, ultimately reducing mortality rates and improving patient care.
Eligibility Criteria
Inclusion Criteria: * Female patients of age 18 years or older can be selectedas subjects. * Individuals willing to participate in cervical cancerscreening. * Availability for colposcopic examination. * Women with no history of hysterectomy (total removalof the uterus). * Women with no current or prior diagnosis of cervicalcancer. * Availability of relevant medical records forconfirmation and comparison purposes. Exclusion Criteria: * Pregnant women, given the potential impact onscreening results and the need for specialconsiderations during pregnancy. * Individuals with severe medical conditions orcircumstances that may make colposcopic examinationinappropriate or unsafe. * Patients with conditions that could interfere with theaccuracy of the screening results, such as severevaginal bleeding. * Follow-up screenings.
Contact & Investigator
Taufiq Hasan, Taufiq
PRINCIPAL INVESTIGATOR
Department of Biomedical Engineering, BUET, Dhaka - 1205.
Frequently Asked Questions
Who can join the NCT06644248 clinical trial?
This trial is open to female participants only, aged 18 Years or older, studying Uterine Cervical Neoplasms. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.
Is NCT06644248 currently recruiting?
Yes, NCT06644248 is actively recruiting participants. Contact the research team at taufiq@bme.buet.ac.bd for enrollment information.
Where is the NCT06644248 trial being conducted?
This trial is being conducted at Dhaka, Bangladesh.
Who is sponsoring the NCT06644248 clinical trial?
NCT06644248 is sponsored by Bangladesh University of Engineering and Technology. The principal investigator is Taufiq Hasan, Taufiq at Department of Biomedical Engineering, BUET, Dhaka - 1205.. The trial plans to enroll 500 participants.