Validation of Artificial Intelligence as Decision Support System in VIA (PRESCRIP-TEC)
NCT ID: NCT06452004
Last Updated: 2025-04-04
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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ACTIVE_NOT_RECRUITING
NA
600 participants
INTERVENTIONAL
2022-10-01
2025-12-31
Brief Summary
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Detailed Description
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The first step of the validation process is a dry run using a database of VIA pictures with pathology confirmation. The accuracy, sensitivity and specificity of healthcare workers, an expert team and the AI will be analysed, based on the ground truth of database pictures.
Thereafter, the AI-DSS will be validated under field conditions. Women who are hrHPV-positive in Uganda, India and Bangladesh will undergo a VIA. The AI is incorporated in a device, that can take pictures of the cervix and provide and instant report (positive = needs further investigation or negative = no lesions found). The user experience of the device will be evaluated.
The AI-DSS will be validated by comparing the VIA assessment by health workers, the AI with assessment by the expert panel. Accuracy, sensitivity and specificity of the AI algorithm will be assessed.
Conditions
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Study Design
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NON_RANDOMIZED
PARALLEL
SCREENING
NONE
Study Groups
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AI-DSS validation Bangladesh
Women in selected intervention area in Bangladesh, who tested hrHPV-positive eligible for VIA, are included. VIA is performed. During VIA the health worker performs an assessment. With the device a picture and taken and AI-DSS generates and assessment as well. The pictures are also assessed by an expert panel.
Validation of AI-DSS in Bangladesh
VIA procedure, taking pre-colouring and post-colouring pictures. First VIA assessment by health worker, followed by AI-DSS assessment. Independent panel of gynaecologists also assessed pictures. The panel assessment serves as reference value to calculate accuracy, sensitivity and specificity of health worker and AI-DSS.
AI-DSS validation Uganda
Women in selected intervention area in Uganda, who tested hrHPV-positive eligible for VIA, are included. VIA is performed. During VIA the health worker performs an assessment. With the device a picture and taken and AI-DSS generates and assessment as well. The pictures are also assessed by an expert panel.
Validation of AI-DSS in Uganda
VIA procedure, taking pre-colouring and post-colouring pictures. First VIA assessment by health worker, followed by AI-DSS assessment. Independent panel of gynaecologists also assessed pictures. The panel assessment serves as reference value to calculate accuracy, sensitivity and specificity of health worker and AI-DSS.
AI-DSS validation India
Women in selected intervention area in India, who tested hrHPV-positive eligible for VIA, are included. VIA is performed. During VIA the health worker performs an assessment. With the device a picture and taken and AI-DSS generates and assessment as well. The pictures are also assessed by an expert panel.
Validation of AI-DSS in India
VIA procedure, taking pre-colouring and post-colouring pictures. First VIA assessment by health worker, followed by AI-DSS assessment. Independent panel of gynaecologists also assessed pictures. The panel assessment serves as reference value to calculate accuracy, sensitivity and specificity of health worker and AI-DSS.
Interventions
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Validation of AI-DSS in Bangladesh
VIA procedure, taking pre-colouring and post-colouring pictures. First VIA assessment by health worker, followed by AI-DSS assessment. Independent panel of gynaecologists also assessed pictures. The panel assessment serves as reference value to calculate accuracy, sensitivity and specificity of health worker and AI-DSS.
Validation of AI-DSS in Uganda
VIA procedure, taking pre-colouring and post-colouring pictures. First VIA assessment by health worker, followed by AI-DSS assessment. Independent panel of gynaecologists also assessed pictures. The panel assessment serves as reference value to calculate accuracy, sensitivity and specificity of health worker and AI-DSS.
Validation of AI-DSS in India
VIA procedure, taking pre-colouring and post-colouring pictures. First VIA assessment by health worker, followed by AI-DSS assessment. Independent panel of gynaecologists also assessed pictures. The panel assessment serves as reference value to calculate accuracy, sensitivity and specificity of health worker and AI-DSS.
Eligibility Criteria
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Inclusion Criteria
* Women who tested HPV positive and are eligible for VIA
* Ability to give informed consent and participate in study
Exclusion Criteria
* Menstruation or other vaginal blood loss
* HPV negative women
30 Years
60 Years
FEMALE
Yes
Sponsors
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Uganda Cancer Institute
OTHER
Female Cancer Foundation
UNKNOWN
International Centre for Diarrhoeal Disease Research, Bangladesh
OTHER
Manipal Academy for Higher Education
UNKNOWN
Friendship Bangladesh
UNKNOWN
University Medical Center Groningen
OTHER
Responsible Party
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Principal Investigators
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Jelle Stekelenburg, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
University Medical Center Groningen
Janine de Zeeuw, PhD
Role: PRINCIPAL_INVESTIGATOR
University Medical Center Groningen
Jogchum Beltman, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
Female Cancer Foundation
Keerthana Prasad, PhD
Role: PRINCIPAL_INVESTIGATOR
Manipal Academy for Higher Education
Carol Nakisige, MD
Role: PRINCIPAL_INVESTIGATOR
Uganda Cancer Institute
Aminur Rahman Shaheen, PhD
Role: PRINCIPAL_INVESTIGATOR
International Centre for Diarrhoeal Disease Research, Bangladesh
Locations
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Mpasana
Kakumiro, , Uganda
Countries
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References
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Sultanov M, Zeeuw J, Koot J, der Schans JV, Beltman JJ, Fouw M, Majdan M, Rusnak M, Nazrul N, Rahman A, Nakisige C, Rao AP, Prasad K, Guruvare S, Biesma R, Versluis M, de Bock GH, Stekelenburg J. Investigating feasibility of 2021 WHO protocol for cervical cancer screening in underscreened populations: PREvention and SCReening Innovation Project Toward Elimination of Cervical Cancer (PRESCRIP-TEC). BMC Public Health. 2022 Jul 15;22(1):1356. doi: 10.1186/s12889-022-13488-z.
Nakisige C, de Fouw M, Kabukye J, Sultanov M, Nazrui N, Rahman A, de Zeeuw J, Koot J, Rao AP, Prasad K, Shyamala G, Siddharta P, Stekelenburg J, Beltman JJ. Artificial intelligence and visual inspection in cervical cancer screening. Int J Gynecol Cancer. 2023 Oct 2;33(10):1515-1521. doi: 10.1136/ijgc-2023-004397.
Other Identifiers
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2022300195
Identifier Type: -
Identifier Source: org_study_id
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