About this trial
This study evaluates a modified two-probe thermal ablation protocol using the IRIS™ device and retrospectively assesses an AI-based Automated Visual Evaluation (AVE) triage algorithm among HPV-positive women in El Salvador. The primary objective is to estimate 1-year cure rates of CIN2+ following treatment. A secondary objective is to evaluate the diagnostic performance of AVE compared with histopathology.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Women aged 30-49 years
Non-pregnant (determined by urine pregnancy test)
HPV-positive per Ministry of Health (MOH) records
Willing to undergo colposcopy and biopsies
Disqualifiers
Plans to become pregnant during the study
History of LEEP or cervical ablation procedure in the past 5 years
History of total hysterectomy (verified by medical record or pelvic evaluation)
History of cervical cancer
Trial design
Single group
Treatments tested in this trial
IRIS™ Thermal Ablation Device
DeviceThermal ablation will be performed using the IRIS™ device with a modified two-probe protocol. The short endocervical probe will be positioned in the distal canal for 20 seconds at 100°C, followed by overlapping applications of the appropriate-sized flat ectocervical probe for 20 seconds at 100°C until the entire squamocolumnar junction is treated.
Treatment groups
Trial outcomes
Primary outcomes
1-Year Cure Rate of CIN2+
Cure rate defined as histopathologic diagnosis of \<CIN2 one year after treatment with the IRIS™ modified two-probe approach.
Secondary outcomes
Diagnostic Performance of AVE Algorithm
Diagnostic performance of the AVE algorithm will be evaluated by comparing AVE image classifications ("normal," "indeterminate," or "severe") with histopathologic diagnosis as the reference standard. Performance will be quantified using the Area Under the Receiver Operating Characteristic Curve (AUC-ROC), which assesses the algorithm's ability to distinguish cervical intraepithelial neoplasia grade 2 or higher (CIN2+) from less severe findings across classification thresholds. AVE analysis will be conducted retrospectively and will not influence real-time clinical management decisions.
Extreme Misclassification Rate of the AVE Algorithm
The proportion of extreme misclassifications by the AVE algorithm will be assessed. Extreme misclassification is defined as a two-class error (e.g., normal histopathology classified as severe by AVE). The algorithm will be evaluated to ensure extreme misclassification occurs in less than 5% of cases.
Rate of Serious Side Effects Following Thermal Ablation
Serious side effects will include serious adverse events (SAEs), cervical stenosis (defined as inability to pass a cytobrush through the cervical os), or infection requiring intravenous antibiotics. These events will be assessed during the 6-week follow-up visit among a subset of participants treated with thermal ablation.
Participant Acceptability of Thermal Ablation Treatment
Participant perceptions of treatment acceptability will be assessed using a brief questionnaire evaluating pain, comfort, perceived effectiveness, ease of treatment, and overall satisfaction. Pain will be measured using the Wong-Baker Faces Pain Rating Scale, a validated self-report pain assessment tool with scores ranging from 0 to 10, where 0 indicates "no pain" and 10 indicates "worst pain possible." Higher scores indicate greater pain and lower treatment acceptability.
Sponsors and contacts
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Basic Health International, Inc.
Lead sponsor
The Cleveland Clinic
Collaborator
Liger Medical Llc
Collaborator
Medical College of Wisconsin
Collaborator