Digital Telecytology for Triage of HPV-Positive Women in Cameroon

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexFemale
Age25-50
SponsorUniversity Hospital, Geneva

About this trial

This study evaluates the diagnostic accuracy and feasibility of a same-day cervical cancer screening strategy using HPV self-sampling followed by digital telecytology triage among HPV-positive women in Cameroon. Women aged 30-49 years (or 25-49 years if HIV-positive) will undergo primary HPV testing using the GeneXpert system. HPV-positive women will be managed according to an extended HPV genotyping-based algorithm, including immediate treatment, telecytology triage, or follow-up. Histological assessment serves as the reference standard for the detection of cervical intraepithelial neoplasia grade 2 or worse (CIN2+). Secondary objectives include evaluation of AI-assisted telecytology and visual inspection with acetic acid (VIA), as well as the acceptability of screening and treatment strategies among women and healthcare providers. The study aims to generate evidence to support scalable, WHO-recommended test-triage-treat approaches in low-resource settings

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

HIV-negative women aged 30-49 and HIV-positive women aged 25-49 years old

Ability to understand study procedures and accepting voluntarily to participate by signing an informed consent form (ICF).

Disqualifiers

Pregnancy at the time of screening

Previous hysterectomy

Known cervical cancer

Symptoms of cervical cancer (e.g. metrorrhagia, known pelvic mass)

Trial design

Design model

Single group

Treatments tested in this trial

  • HPV testing (self-sampling)

    Diagnostic test

    HPV testing performed on self-collected vaginal samples providing extended genotyping for high-risk HPV types.

  • Digital telecytology

    Diagnostic test

    Digital cytology performed on HPV-positive women, including slide preparation, digitization, and remote interpretation by trained cytology experts for the detection of cytological abnormalities (≥ ASC-US).

  • AI-assisted telecytology

    Diagnostic test

    Artificial intelligence-assisted analysis of digital cytology images to support detection of cervical abnormalities in HPV-positive women.

  • Thermal ablation

    Procedure/Surgery

    Thermal ablation is used for treatment of women who are HPV16-positive, as well as for women positive for HPV types 18, 31, 33, 35, 45, 52, or 58 who have abnormal cytology results (≥ ASC-US).

Treatment groups

1,800 Participants
are divided into 1 treatment group
Group A: HPV-based screening with digital telecytology triage in a same-day test-triage-treat strategyExperimental treatment 4 interventions

Trial outcomes

Primary outcomes

1

Diagnostic accuracy of HPV-based screening with digital cytology triage for detection of CIN2+

Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and likelihood ratios of HPV testing with digital cytology triage for the detection of cervical intraepithelial neoplasia grade 2 or worse (CIN2+), using histology as the reference standard.

Time frame
At baseline (initial screening visit)

Secondary outcomes

1

Feasibility of same-day test-triage-treat strategy

Proportion of HPV-positive women who receive cytology results on the same day among all HPV-positive women undergoing triage.

Time frame
At baseline (same-day visit)
2

Diagnostic performance of AI-assisted telecytology for detection of CIN2+

Sensitivity, specificity, positive predictive value, and negative predictive value of AI-assisted telecytology for detection of cervical intraepithelial neoplasia grade 2 or worse, using histology as the reference standard.

Time frame
At baseline
3

Detection rate of CIN2+ using AI-assisted VIA

Proportion of CIN2+ lesions detected by AI-assisted visual inspection with acetic acid (VIA) among HPV-positive women, using histology as reference.

Time frame
At baseline
4

Agreement between digital cytology and AI-assisted cytology

Agreement between standard digital cytology and AI-assisted cytology for the detection of cytological abnormalities (≥ ASC-US) among HPV-positive women.

Time frame
At baseline

Other outcomes

Sponsors and contacts

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University Hospital, Geneva

Lead sponsor

Ecole Polytechnique Fédérale de Lausanne (EPFL), Campus Biotech

Collaborator