Role of Artificial Intelligence for detection of pre-cancerous and cancerous cervical lesions
Not Applicable
- Registration Number
- CTRI/2023/02/049936
- Lead Sponsor
- Government Medical college and hospital Chandigarh
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Open to Recruitment
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
Sexually active women above the age of 30 (as recommended by WHO guidelines 2021)
Exclusion Criteria
Type 3 squamocolumnar junction
Active bleeding per vaginum
Frank growth on the cervix
Post hysterectomy
History of treatment of cancerous lesions
Acute cervical infection or pelvic inflammatory disease (patients can be included after treatment)
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method To evaluate the diagnostic accuracy of the Smartscope® for detection of pre-cancerous and cancerous lesions of the cervix using cytology or histopathology as the reference standardTimepoint: At first visit (when smartscope used), on collection of Pap report ,on collection of cervical biopsy report
- Secondary Outcome Measures
Name Time Method To compare the Swede score calculated by the observer with the AI-based diagnosis keeping cytology and histopathology as the reference standardTimepoint: At first visit (when smartscope used), on collection of Pap report ,on collection of cervical biopsy report