Validation of Artificial Intelligence as Decision Support System in VIA (PRESCRIP-TEC)

NCT ID: NCT06452004

Last Updated: 2025-04-04

Study Results

Results pending

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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Recruitment Status

ACTIVE_NOT_RECRUITING

Clinical Phase

NA

Total Enrollment

600 participants

Study Classification

INTERVENTIONAL

Study Start Date

2022-10-01

Study Completion Date

2025-12-31

Brief Summary

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The research project is a component of another research project that applies the protocol of the World Health Organization for screening of cervical cancer, with testing of high-risk Human Papilloma Virus (hrHPV) as first screening. In the screen, triage and treat approach women who tested positive for hrHPV are undergoing Visual Inspection of the cervix with Acetic Acid (VIA). This procedure is applied in Uganda, India and Bangladesh. However the quality of VIA by lower-trained staff is variable because Low and Middle Income Countries face limited numbers of qualified health care professionals. Artificial intelligence (AI) might be a solution to improve consistency of VIA assessment. This research validates an AI decision support system (AI-DSS) under field conditions.

Detailed Description

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This research project aims to validate an image processing algorithm in order to study if the AI can function as decision support system (DSS) for healthcare workers, who perform VIA. The AI-DSS has been designed by the Manipal Academy of Higher Education in India and has shown a sensitivity of 99.05% and specificity of 97.16% for detection of aceto-white lesions.

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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HPV Infection Cervix Cancer Cervical Dysplasia

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

In Uganda, India and Bangladesh eligible women in geographic areas are invited to perform self-test for hrHPV. hrHPV-positive women are invited for further examination of the cervix using VIA. In all VIAs pictures are taken with the device and the AI decision support system is activated. Health workers will give an independent VIA assessment before the AI assessment can be accessed. An expert panel gives an independent assessment without knowing the health worker or AI assessment.
Primary Study Purpose

SCREENING

Blinding Strategy

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.

Group Type EXPERIMENTAL

Validation of AI-DSS in Bangladesh

Intervention Type DIAGNOSTIC_TEST

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.

Group Type EXPERIMENTAL

Validation of AI-DSS in Uganda

Intervention Type DIAGNOSTIC_TEST

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.

Group Type EXPERIMENTAL

Validation of AI-DSS in India

Intervention Type DIAGNOSTIC_TEST

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.

Intervention Type DIAGNOSTIC_TEST

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.

Intervention Type DIAGNOSTIC_TEST

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.

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* Female in eligible age group
* Women who tested HPV positive and are eligible for VIA
* Ability to give informed consent and participate in study

Exclusion Criteria

* Clinical signs of cervical carcinoma
* Menstruation or other vaginal blood loss
* HPV negative women
Minimum Eligible Age

30 Years

Maximum Eligible Age

60 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

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Uganda Cancer Institute

OTHER

Sponsor Role collaborator

Female Cancer Foundation

UNKNOWN

Sponsor Role collaborator

International Centre for Diarrhoeal Disease Research, Bangladesh

OTHER

Sponsor Role collaborator

Manipal Academy for Higher Education

UNKNOWN

Sponsor Role collaborator

Friendship Bangladesh

UNKNOWN

Sponsor Role collaborator

University Medical Center Groningen

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

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

Site Status

Countries

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Uganda

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.

Reference Type BACKGROUND
PMID: 35840949 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 37666527 (View on PubMed)

Other Identifiers

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2022300195

Identifier Type: -

Identifier Source: org_study_id

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