- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04859530
Automated Cervical Cancer Screening Using a Smartphone-based Artificial Intelligence Classifier
Study Protocol for a Two-site Clinical Trial to Validate a Smartphone-based Artificial Intelligence Classifier Identifying Cervical Precancer and Cancer in HPV-positive Women in Cameroon
Cervical cancer remains a major public health challenge in low- and middle-income countries (LMICs) due to financial and logistical issues. The World Health Organization (WHO) recommendation for cervical cancer screening in LMICs includes Human Papillomavirus (HPV) testing as primary screening followed by visual inspection with acetic acid (VIA) and treatment. However, VIA is a subjective procedure dependent on the healthcare provider's experience. Therefore, an objective approach based on quantitative diagnostic algorithms is desirable to improve performance of VIA.
With this objective and in a collaboration between the Gynecology and Obstetrics Department of the Geneva University Hospital (HUG) and the Swiss Institute of Technology (EPFL), our group started the development of an automated smartphone-based image classification device called AVC (for Automatic VIA Classifier). Two-minute videos of the cervix are recorded during VIA and classified using an artificial neural network (ANN) and image processing techniques to differentiate precancer and cancer from non-neoplastic cervical tissue. The result is displayed on the smartphone screen with a delimitation map of the lesions when appropriate. The key feature used for classification is the dynamic of cervical acetowhitening during the 120 second following the application of acetic acid. Precancerous and cancerous cells whiten more rapidly than non-cancerous ones and their whiteness persists stronger overtime.
Our aim is to assess the diagnostic performance of the AVC and to compare it with the performance of current triage tests (VIA and cytology). Histopathological examination will serve as reference standard. Participants' and providers' acceptability will also be considered as part of the study.
The study will be nested in an ongoing cervical cancer screening program called "3T-approach" (for Test, Triage and Treat) which includes HPV self-sampling for women aged 30 to 49 years, followed by VIA triage and treatment if needed. The AVC will be evaluated in this context.
The study's risk category is A according to swiss ethical guidelines. This decision is based on the fact that the planned measures for sampling biological material or collecting personal data entail only minimal risks and burdens.
Study Overview
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Contact
- Name: Patrick Petignat, Pr
- Phone Number: +41796630546
- Email: patrick.petignat@hcuge.ch
Study Contact Backup
- Name: Inès Baleydier
- Phone Number: +41 77 460 61 20
- Email: ines.baleydier@gmail.com
Study Locations
-
-
Menoua
-
Dschang, Menoua, Cameroon
- Recruiting
- Dschang District Hospital
-
Contact:
- Bruno Kenfack, Pr
- Email: brunokenfack@gmail.com
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Free and informed consent to take part in the study on a voluntary basis
Exclusion Criteria:
- No initiation of sexual intercourse
- Pregnancy at the screening consultation
- Any condition altering the cervix visualization at the screening consultation (e.g. heavy vaginal bleeding)
- History of anogenital cancer or known anogenital cancer at the screening consultation
- Previous hysterectomy
- Not sufficiently healthy to participate in the study
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: AVC test
|
The AVC test will be performed during VIA by local midwives: 120 second videos focused on the cervix will be taken right after the application of acetic acid on the cervix.
The recording smartphone will be fixed on a tripod situated 15cm away from the cervix.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Estimate accuracy of the AVC test
Time Frame: 2 years
|
by including metrics such as sensitivity, specificity, positive predictive value and negative predictive value using histologic assessment as reference standard.
|
2 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Compare accuracy of the AVC test and VIA to detect cervical precancer and cancer
Time Frame: 2 years
|
using histopathology as gold standard.
|
2 years
|
|
Compare accuracy of the AVC test and cytology to detect cervical precancer and cancer
Time Frame: 2 years
|
using histopathology as gold standard.
|
2 years
|
|
Estimate feasibility of the AVC test
Time Frame: 2 years
|
by women and healthcare providers using qualitative and quantitative methods.
|
2 years
|
|
Estimate acceptability of the AVC test
Time Frame: 2 years
|
by women and healthcare providers using qualitative and quantitative methods.
|
2 years
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Patrick Petignat, University Hospital, Geneva
Publications and helpful links
General Publications
- Baleydier I, Vassilakos P, Vinals R, Wisniak A, Kenfack B, Tsuala Fouogue J, Enownchong Enow Orock G, Lemoupa Makajio S, Foguem Tincho E, Undurraga M, Cattin M, Makohliso S, Schonenberger K, Gervaix A, Thiran JP, Petignat P. Study protocol for a two-site clinical trial to validate a smartphone-based artificial intelligence classifier identifying cervical precancer and cancer in HPV-positive women in Cameroon. PLoS One. 2021 Dec 16;16(12):e0260776. doi: 10.1371/journal.pone.0260776. eCollection 2021.
- Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018 Nov;68(6):394-424. doi: 10.3322/caac.21492. Epub 2018 Sep 12. Erratum In: CA Cancer J Clin. 2020 Jul;70(4):313. doi: 10.3322/caac.21609.
- Bruni L, Diaz M, Barrionuevo-Rosas L, Herrero R, Bray F, Bosch FX, de Sanjose S, Castellsague X. Global estimates of human papillomavirus vaccination coverage by region and income level: a pooled analysis. Lancet Glob Health. 2016 Jul;4(7):e453-63. doi: 10.1016/S2214-109X(16)30099-7. Erratum In: Lancet Glob Health. 2017 Jul;5(7):e662. doi: 10.1016/S2214-109X(17)30186-9.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Urogenital Diseases
- Genital Diseases
- Urogenital Neoplasms
- Neoplasms by Site
- Neoplasms
- Female Urogenital Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Uterine Diseases
- Genital Diseases, Female
- Genital Neoplasms, Female
- Uterine Cervical Diseases
- Uterine Neoplasms
- Uterine Cervical Neoplasms
- Hemostatics
- Coagulants
- Lugol's solution
Other Study ID Numbers
- 2017-01110b
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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