Evaluating the Impact of Computer-assisted X-ray Diagnosis and Other Triage Tools to Optimise Xpert Orientated Community-based Active Case Finding for TB and COVID-19

NAActive, not recruitingINTERVENTIONAL
Enrollment

26,200

Participants

Timeline

Start Date

February 23, 2022

Primary Completion Date

August 15, 2025

Study Completion Date

December 31, 2025

Conditions
TuberculosisCOVID-19HIV Infections
Interventions
DIAGNOSTIC_TEST

CAD

It is an artificial intelligence (AI) system for detection of TB on CXR images. The system input is a frontal CXR, and the outputs are 1) a heatmap indicating suspicious regions on the image; and 2) a score (0-100) which implies the likelihood that the x-ray image shows TB.

DIAGNOSTIC_TEST

Xpert

A novel diagnostic for active case finding (GeneXpert MTB/RIF) for TB on sputum collected and performed at POC in a mobile van.

Trial Locations (3)

Unknown

University of Cape Town, Cape Town

Helen Ayles, Lusaka

Junior Mutsvangwa, Harare

All Listed Sponsors
collaborator

European and Developing Countries Clinical Trials Partnership (EDCTP)

OTHER_GOV

collaborator

Zambart

OTHER

collaborator

Biomedical Research and Training Institute

OTHER

collaborator

Ospedale San Raffaele

OTHER

collaborator

Radboud University Medical Center

OTHER

collaborator

Foundation for Innovative New Diagnostics, Switzerland

OTHER

collaborator

University of Stellenbosch

OTHER

lead

University of Cape Town

OTHER